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Running head: Final Project Data Analysis 1 Final Project Data Analysis 2 Final Project Data Analysis: Luz Rodriguez Southern New Hampshire University Process and calculations In completing the research on the influence that gender (male/female) has over the length of the hospital stay. We can use several types of statistical tests in analysis a more accurate analysis of the research question. This involves a dot plot and a histogram. In responding to this question, we can place gender in one category but studying it under two separate samples, male and female and the effects of length of stay after a myocardial infarction. We can compute this by resolving quantitative data and the relationship between the two factors s dot plot and a histogram would be effective in achieving this analysis. Research question To what extent does gender influence length of hospital stay for MI patients? Response and predictor variables Response: Length of hospital stay (LOS) -Predictor: Gender (female and male) Type of variable for predictor variable Predictor: gender (female or male) Type of diagram for analysis Dot plot Histogram Data analysis As shown the data tries to compare the differences between gender (male and Female) and the length of stay in hospitals with respect to each other. It’s clear that the length of hospital stay which is represented by 0 is shorter as compared to that of the female which is represented by 1. If there is a larger differences between the two genders, then there is a meaning which would reduce the standard deviation (Gerstman, 2015). gender n mean variance Std. dev Std. err. median range min max Q1 Q3 0 65 0 0 0 0 0 0 0 0 0 0 1 35 1 0 0 0 1 0 1 1 1 1 Hypothesis test results: Difference Sample Diff. Std. Err. DF T-Stat P-value μ1 - μ2 6.49 0.59375453 198 10.930443 <0.0001 References Gerstman, B. B. (2015). Basic Biostatistics Statistics for Public Health (2nd ed.). Burlington, MA: Jones & Bartlett Learning. gender 1 0.0 10.0 20.0 30.0 40.0 50.0 60.0 30.0 4.0 0.0 0.0 0.0 0.0 1.0 gender 0 2.0 17.0 34.0 3.0 6.0 1.0 3.0 gender 1 30.0 4.0 0.0 0.0 0.0 0.0 1.0 gender 0 0.0 2.5 5.0 7.5 10.0 12.5 15.0 2.0 17.0 34.0 3.0 6.0 1.0 3.0 Course ProjectCriteriaPointsDescribes the patient that is the subject of the project including diagnoses, medications, and history OR describes the community, its strengths and problems and the mental health issue that will be the subject of the paper.4Includes any substance abuse or violence issues for the patient or community 2Discusses attempted interventions, what has been successful and what has not.4Describes own personal thoughts about the patient's or community's mental health issues. 4Describes any cognitive concerns and possible interventions.2Writes a nursing care plan including three priority nursing diagnoses with r/t and AEB factors.4Includes outcomes in Nursing Outcomes Classification language and interventions in Nursing Intervention Classificati.
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CT AND SPECT ANALYSIS1CT and SPECT ProceduresA statistic.docx
CT AND SPECT ANALYSIS 1
CT and SPECT Procedures
A statistical comparison of usage in MN hospitals
INTRODUCTION
Over the last few decades, the usage of diagnostic imaging in United States hospitals has been increasing. This rise in medical imaging contributes to both the increasing costliness of medicine and the amount of radiation patients are being exposed to while undergoing medical treatments. Of the many forms of medical imaging, computerized tomography (CT) and Single-photon emission computed tomography (SPECT) scans are some of the most prevalent. However, some studies have begun to show the use of SPECT procedures are slightly declining. (Smith-Bindman, Miglioretti, & Larson, 2008; Mettler, Wiest, Locken, & Kelsey, 2000; Muschlitz, 2011)
One study by Smith-Bindman, Miglioretti & Larson (2008) showed that CT usage has increased 14 percent per year, from 81 to 181 examinations, per 1000 patients. Subsequently, CT usage doubled over the ten year period in which the study was conducted. This increase was noted for all tested groups regardless of age, anatomic area scanned, and modality. Another report concluded that “in most large hospitals in the United States, CT scanning likely accounts for more than ten percent of diagnostic radiology examinations.” (Mettler, Wiest, Locken, & Kelsey, 2000) Mettler, Wiest, Locken and Kelsey (2000) noted that they found the largest percentage of scans was done in the 36-50-year-old age group. According the Minnesota Department of Health (MDH), the abundance of CT usage in the state is due to its ease of use during emergent situations; a CT scan can be provided within 25-45 minutes depending on positive or negative readings (Alberts et al., 2013).
While SPECT imaging has a well-defined role in medical diagnostic imaging, it tends to be most useful for Cardiovascular, stem cells, oncologic, neuroimaging applications. (Khalil, Tremoleda, Bayomy & Gsell, 2011) This may account fewer overall procedures performed. One study by Druz, Phillips and Sharifova (2011) evaluated 2005 SPECT appropriateness criteria in a diverse patient and physician population from a large regional medical center. An important finding was that appropriateness of SPECT was “strongly influenced by presence of symptoms, pre-test likelihood of disease, and Framingham risk scores.” (Druz, Phillips & Sharifova, sec 4, 2011) There was a strong trend for more appropriate studies in symptomatic patients and those at a greater likelihood of coronary artery disease (CAD), which is a recurring theme in SPECT usage analyzations. This study also showed that Cardiac Medical Doctors tend to refer fewer inappropriate SPECT procedures than do their counterparts in other specialties. Amen (b) et al (2011) further investigates the use of SPECT by limited numbers of clinicians and presents rationale for a more widespread use of SPECT in clinical practice for complex cases such as traumatic brain injury mapping and assessing other forms of cog.
48 january 2 vol 27 no 18 2013 © NURSING STANDARD RC.docx
48 january 2 :: vol 27 no 18 :: 2013 © NURSING STANDARD / RCN PUBLISHING
Learning zone
C O N T I N U I N G P R O F E S S I O N A L D E V E L O P M E N T
Understanding quantitative
research: part 2
NS674 Hoare Z, Hoe J (2012) Understanding quantitative research: part 2.
Nursing Standard. 27, 18, 48-55. Date of submission: July 1 2011; date of acceptance: March 2 2012.
Abstract
This article, which is the second in a two-part series, provides an
introduction to understanding quantitative research, basic statistics and
terminology used in research articles. Understanding statistical analysis
will ensure that nurses can assess the credibility and significance of the
evidence reported. This article focuses on explaining common statistical
terms and the presentation of statistical data in quantitative research.
Authors
Zoë Hoare
Clinical trials statistician, Bangor University, Bangor.
Juanita Hoe
Senior clinical research associate, Research Department of Mental Health
Sciences, University College London, London.
Correspondence to: [email protected]
Keywords
Data interpretation, parametric statistical tests, quantitative research,
statistics
Review
All articles are subject to external double-blind peer review and checked
for plagiarism using automated software.
Online
Guidelines on writing for publication are available at
www.nursing-standard.co.uk. For related articles visit the archive and
search using the keywords above.
4 Page 57
Statistics multiple
choice questionnaire
4 Page 58
Read Sarah Holling’s
practice profile on
head injury
4 Page 59
Guidelines on
how to write a
practice profile
Aims and intended learning outcomes
This article aims to provide a useful
introduction to common statistical terms and
the presentation of statistics in research articles.
After reading this article and completing the
time out activities you should be able to:
�4Discuss the importance of assessing the
appropriateness of the statistical tests
performed and accurate interpretation
of findings.
�4Recognise the common statistical tests used
in quantitative research.
�4Identify errors in the reporting of statistical
analysis, such as selective reporting and
overestimating the significance of findings.
�4Understand the importance of statistics
in evidence-based knowledge relevant to
your area.
Introduction
Statistics are the methods and techniques used
to collect, analyse, interpret and present data
(Maltby et al 2007). Nurses routinely use
statistics within their practice, for example
when they give health information to patients
about their diagnosis or prognosis and in
discussing the adverse effects of medication
or treatment. However, many nurses may find
understanding the presentation of statistical
data within a research article challenging.
Fear of statistics is common and is usually
linked with anxiety about understanding and
interpreting statistical data and outcomes
(Williams 2010). In he ...
Stratification of clinical survey data
Data stratification is the process of partitioning the data into distinct and non-overlapping groups since the
study population consists of subpopulations that are of particular interest. In clinical data, once the data is
stratified into sub populations based on a significant stratifying factor, different risk factors can be
determined from each subpopulation. In this paper, the Fisher’s Exact Test is used to determine the
significant stratifying factors. The experiments are conducted on a simulated study and the Medical,
Epidemiological and Social Aspects of Aging (MESA) data constructed for prediction of urinary
incontinence. Results show that, smoking is the most significant stratifying factor of MESA data, showing
that the smokers and non-smokers indicates different risk factors towards urinary incontinence and should
be treated differently.
Introduction to Biostatistics.pptx
Biostatistics (also known as biometry) are the development and application of statistical methods to a wide range of topics in biology. It encompasses the design of biological experiments, the collection and analysis of data from those experiments and the interpretation of the results.
Lab 7 Template1. Using the data you collected for the Week 5 .docx
Lab 7 Template
1. Using the data you collected for the Week 5 Lab (heights of 10 different people that you work with plus the 10 heights provided by your instructor), discuss your method of collection for the values that you are using in your study (systematic, convenience, cluster, stratified, simple random). What are some faults with this type of data collection? What other types of data collection could you have used, and how might this have affected your study?
Use the Week 6 Spreadsheet to help you with calculations for the following questions/statements.
2. Give a point estimate (mean) for the average height of all people at the place where you work. Start by putting the 20 heights you are working with into the blue Data column of the spreadsheet. What is your point estimate, and what does this mean?
3. Find a 95% confidence interval for the true mean height of all the people at your place of work. What is the interval?
4. Give a practical interpretation of the interval and explain carefully what the output means. (For example, you might say, "I am 95% confident that the true mean height of all of the people in my company is between 64 inches and 68 inches").
5. Post a screenshot of your work from the t value Confidence Interval for µ from the Confidence Interval tab on the Week 6 Excel spreadsheet.
6. Now, change your confidence level to 99% for the same data, and post a screenshot of this table/interval, as well.
7. Compare the margins of error from the two screenshots. Would the margin of error be larger or smaller for the 99% CI? Explain your reasoning.
8. Save this template with your answers and include your name in the title.
9. Submit the document.
J
LU
TERMINOLOGY 101
Confidence intervals: Part 2
MAHER M. EL-MASRI, RN, PhD, IS AN ASSOCIATE PROFESSOR AND RESEARCH LEADERSHIP CHAIR
IN THE FACULTY OF NURSING, UNIVERSITY OF WINDSOR, IN WINDSOR, ONT.
Confidence interval: The range of values, consistent with the data, that is believed to encompass the actual or
"true" population value
Source: Lang, T.A., & Secic, M. (2006). How to Report Statistics in Medicine. (2nd ed.). Philadelphia: American College of Physicians
Part 1, which appeared in the February 2012
issue, introduced the concept of confidence
intervals (CIs) for mean values. This article
explains how to compare the CIs of two mean
scores to draw a conclusion about whether or
not they are statistically different. Two mean
scores are said to be statistically different if their
respective CIs do not overlap. Overlap of the CIs
suggests that the scores may represent the same
"true" population value; in other words, the true
difference in the mean scores may be equivalent
NurseONE resources
ON THIS TOPIC
EBSCO-MEDLINE FULL-TEXT ARTICLES
• Hildebrandt, M., Vervölgyi, E., & Bender, R. (2009).
Calculation of NNTs in RCTs with time-to-event
outcomes: A literature review. BMC Medical
Research Methodology, 9,21.
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Does the perception of trust in the usefulness or ease of use of a HIS (Healt...
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CT AND SPECT ANALYSIS1CT and SPECT ProceduresA statistic.docx
CT AND SPECT ANALYSIS 1
CT and SPECT Procedures
A statistical comparison of usage in MN hospitals
INTRODUCTION
Over the last few decades, the usage of diagnostic imaging in United States hospitals has been increasing. This rise in medical imaging contributes to both the increasing costliness of medicine and the amount of radiation patients are being exposed to while undergoing medical treatments. Of the many forms of medical imaging, computerized tomography (CT) and Single-photon emission computed tomography (SPECT) scans are some of the most prevalent. However, some studies have begun to show the use of SPECT procedures are slightly declining. (Smith-Bindman, Miglioretti, & Larson, 2008; Mettler, Wiest, Locken, & Kelsey, 2000; Muschlitz, 2011)
One study by Smith-Bindman, Miglioretti & Larson (2008) showed that CT usage has increased 14 percent per year, from 81 to 181 examinations, per 1000 patients. Subsequently, CT usage doubled over the ten year period in which the study was conducted. This increase was noted for all tested groups regardless of age, anatomic area scanned, and modality. Another report concluded that “in most large hospitals in the United States, CT scanning likely accounts for more than ten percent of diagnostic radiology examinations.” (Mettler, Wiest, Locken, & Kelsey, 2000) Mettler, Wiest, Locken and Kelsey (2000) noted that they found the largest percentage of scans was done in the 36-50-year-old age group. According the Minnesota Department of Health (MDH), the abundance of CT usage in the state is due to its ease of use during emergent situations; a CT scan can be provided within 25-45 minutes depending on positive or negative readings (Alberts et al., 2013).
While SPECT imaging has a well-defined role in medical diagnostic imaging, it tends to be most useful for Cardiovascular, stem cells, oncologic, neuroimaging applications. (Khalil, Tremoleda, Bayomy & Gsell, 2011) This may account fewer overall procedures performed. One study by Druz, Phillips and Sharifova (2011) evaluated 2005 SPECT appropriateness criteria in a diverse patient and physician population from a large regional medical center. An important finding was that appropriateness of SPECT was “strongly influenced by presence of symptoms, pre-test likelihood of disease, and Framingham risk scores.” (Druz, Phillips & Sharifova, sec 4, 2011) There was a strong trend for more appropriate studies in symptomatic patients and those at a greater likelihood of coronary artery disease (CAD), which is a recurring theme in SPECT usage analyzations. This study also showed that Cardiac Medical Doctors tend to refer fewer inappropriate SPECT procedures than do their counterparts in other specialties. Amen (b) et al (2011) further investigates the use of SPECT by limited numbers of clinicians and presents rationale for a more widespread use of SPECT in clinical practice for complex cases such as traumatic brain injury mapping and assessing other forms of cog.
48 january 2 vol 27 no 18 2013 © NURSING STANDARD RC.docx
48 january 2 :: vol 27 no 18 :: 2013 © NURSING STANDARD / RCN PUBLISHING
Learning zone
C O N T I N U I N G P R O F E S S I O N A L D E V E L O P M E N T
Understanding quantitative
research: part 2
NS674 Hoare Z, Hoe J (2012) Understanding quantitative research: part 2.
Nursing Standard. 27, 18, 48-55. Date of submission: July 1 2011; date of acceptance: March 2 2012.
Abstract
This article, which is the second in a two-part series, provides an
introduction to understanding quantitative research, basic statistics and
terminology used in research articles. Understanding statistical analysis
will ensure that nurses can assess the credibility and significance of the
evidence reported. This article focuses on explaining common statistical
terms and the presentation of statistical data in quantitative research.
Authors
Zoë Hoare
Clinical trials statistician, Bangor University, Bangor.
Juanita Hoe
Senior clinical research associate, Research Department of Mental Health
Sciences, University College London, London.
Correspondence to: [email protected]
Keywords
Data interpretation, parametric statistical tests, quantitative research,
statistics
Review
All articles are subject to external double-blind peer review and checked
for plagiarism using automated software.
Online
Guidelines on writing for publication are available at
www.nursing-standard.co.uk. For related articles visit the archive and
search using the keywords above.
4 Page 57
Statistics multiple
choice questionnaire
4 Page 58
Read Sarah Holling’s
practice profile on
head injury
4 Page 59
Guidelines on
how to write a
practice profile
Aims and intended learning outcomes
This article aims to provide a useful
introduction to common statistical terms and
the presentation of statistics in research articles.
After reading this article and completing the
time out activities you should be able to:
�4Discuss the importance of assessing the
appropriateness of the statistical tests
performed and accurate interpretation
of findings.
�4Recognise the common statistical tests used
in quantitative research.
�4Identify errors in the reporting of statistical
analysis, such as selective reporting and
overestimating the significance of findings.
�4Understand the importance of statistics
in evidence-based knowledge relevant to
your area.
Introduction
Statistics are the methods and techniques used
to collect, analyse, interpret and present data
(Maltby et al 2007). Nurses routinely use
statistics within their practice, for example
when they give health information to patients
about their diagnosis or prognosis and in
discussing the adverse effects of medication
or treatment. However, many nurses may find
understanding the presentation of statistical
data within a research article challenging.
Fear of statistics is common and is usually
linked with anxiety about understanding and
interpreting statistical data and outcomes
(Williams 2010). In he ...
Stratification of clinical survey data
Data stratification is the process of partitioning the data into distinct and non-overlapping groups since the
study population consists of subpopulations that are of particular interest. In clinical data, once the data is
stratified into sub populations based on a significant stratifying factor, different risk factors can be
determined from each subpopulation. In this paper, the Fisher’s Exact Test is used to determine the
significant stratifying factors. The experiments are conducted on a simulated study and the Medical,
Epidemiological and Social Aspects of Aging (MESA) data constructed for prediction of urinary
incontinence. Results show that, smoking is the most significant stratifying factor of MESA data, showing
that the smokers and non-smokers indicates different risk factors towards urinary incontinence and should
be treated differently.
Introduction to Biostatistics.pptx
Biostatistics (also known as biometry) are the development and application of statistical methods to a wide range of topics in biology. It encompasses the design of biological experiments, the collection and analysis of data from those experiments and the interpretation of the results.
Lab 7 Template1. Using the data you collected for the Week 5 .docx
Lab 7 Template
1. Using the data you collected for the Week 5 Lab (heights of 10 different people that you work with plus the 10 heights provided by your instructor), discuss your method of collection for the values that you are using in your study (systematic, convenience, cluster, stratified, simple random). What are some faults with this type of data collection? What other types of data collection could you have used, and how might this have affected your study?
Use the Week 6 Spreadsheet to help you with calculations for the following questions/statements.
2. Give a point estimate (mean) for the average height of all people at the place where you work. Start by putting the 20 heights you are working with into the blue Data column of the spreadsheet. What is your point estimate, and what does this mean?
3. Find a 95% confidence interval for the true mean height of all the people at your place of work. What is the interval?
4. Give a practical interpretation of the interval and explain carefully what the output means. (For example, you might say, "I am 95% confident that the true mean height of all of the people in my company is between 64 inches and 68 inches").
5. Post a screenshot of your work from the t value Confidence Interval for µ from the Confidence Interval tab on the Week 6 Excel spreadsheet.
6. Now, change your confidence level to 99% for the same data, and post a screenshot of this table/interval, as well.
7. Compare the margins of error from the two screenshots. Would the margin of error be larger or smaller for the 99% CI? Explain your reasoning.
8. Save this template with your answers and include your name in the title.
9. Submit the document.
J
LU
TERMINOLOGY 101
Confidence intervals: Part 2
MAHER M. EL-MASRI, RN, PhD, IS AN ASSOCIATE PROFESSOR AND RESEARCH LEADERSHIP CHAIR
IN THE FACULTY OF NURSING, UNIVERSITY OF WINDSOR, IN WINDSOR, ONT.
Confidence interval: The range of values, consistent with the data, that is believed to encompass the actual or
"true" population value
Source: Lang, T.A., & Secic, M. (2006). How to Report Statistics in Medicine. (2nd ed.). Philadelphia: American College of Physicians
Part 1, which appeared in the February 2012
issue, introduced the concept of confidence
intervals (CIs) for mean values. This article
explains how to compare the CIs of two mean
scores to draw a conclusion about whether or
not they are statistically different. Two mean
scores are said to be statistically different if their
respective CIs do not overlap. Overlap of the CIs
suggests that the scores may represent the same
"true" population value; in other words, the true
difference in the mean scores may be equivalent
NurseONE resources
ON THIS TOPIC
EBSCO-MEDLINE FULL-TEXT ARTICLES
• Hildebrandt, M., Vervölgyi, E., & Bender, R. (2009).
Calculation of NNTs in RCTs with time-to-event
outcomes: A literature review. BMC Medical
Research Methodology, 9,21.
• Hildebrandt, M., Bender, .
Does the perception of trust in the usefulness or ease of use of a HIS (Healt...
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Phase 2Phase 2Lucia RuizRasmussen College.docx
Phase 2
Phase 2
Lucia Ruiz
Rasmussen College
Author Notes
This paper is being submitted on February 26, 2017 for Juton Hemphill’s Inferential Statistics and Analytics course.
In the statistical inference, the main aim is to estimate the populations’ parameters by the use of samples that have been drawn from that population.
There is thus the need to create a confidence interval. It gives the range values that have a chance of including unknown parameters from the population from the sample drawn (2017). Simply this means that when drawing an inference from a sample taken we have the estimate of the population parameter and the margin of error which means there is a chance of inclusion of unknown population parameter, the estimated range being calculated from a given set of sample data (DG, 2017).
The point estimate of a population parameter is a single value used to estimate the population parameter. For example, the sample mean x is a point estimate of the population mean μ. Point estimation is defined as the process by which the estimation of parameters from a normal probability distribution that is based on the data that is observed from a particular population.
The mean is the best point estimator. It is because the mean in a normal distribution is the average of the data set and normally the center of the data. It is where most of the items in the population lie and usually represent the data set. For all populations, the sample mean x is an unbiased estimator of the population mean µ, meaning that the distribution of sample means tends to center about the value of the population mean µ. For most populations, the distribution of sample means x is always more consistent (with less variation) than the distributions of other sample statistics.
The confidence interval that is created from a range based on a confidence level and useful in the estimating the actual population values based on the normal distribution for a statistic of that population. It is useful to accommodate a range of estimates and reduce chances of avoiding of misinterpretation of non-significant results of small studies ("Point Estimates and Confidence Intervals", 2017).
Since the best point estimator of the population means is the sample mean x is a point estimate of the population mean μ then for our data, then the Mean = 3705 / 60 = 61.81667 is the best.
At 95% confidence level
)
)
59.26 < x < 64.38
At 99% confidence level
)
)
58.45 < x < 65.18
Interpretation: at 95% confidence level we estimate the populations mean to be 61.82. We are 95% confident that the true value of the mean lies between 59.26 < x < 64.38. From our study of the patients infected with the infectious disease in NCLEX Memorial Hospital is that at 95% confidence interval the mean lies between 59.26 < x < 64.38.
On the other hand, at 99% confidence level, we estimate the populations mean to be 61.82. We are 95% confident that the true value of the mean lies between 58.45 < x < 6.
Running Head SCENARIO NCLEX MEMORIAL HOSPITAL .docx
Running Head: SCENARIO NCLEX MEMORIAL HOSPITAL 1
SCENARIO NCLEX MEMORIAL HOSPITAL 11
Course Project - Phase 4
Name: Rodney Wheeler
Institution: Rasmussen College
Course: STA3215 Section 01 Inferential Statistics and Analytics
Date: 03/14/17
Introduction
The scenario I will be working with is that I am working at NCLEX Memorial Hospital in the infectious disease unit. As a healthcare professional, I need to work to improve the health of individuals, families and communities in various settings. The current situation that has posed as a problem at the hospital and raised eyebrows is that in the past few days, there has been an increase in patients admitted with a particular infectious disease. The basic statistical analysis shows that the disease does not affect minors hence the ages of the infected patients does play a critical role in the method that shall be required to treat the patients in order to impact positively on the health and well-being of the clients being served whether infected with the disease or associated with those infected. After speaking to the manager, we decided that we shall work together in utilising the available statistical analysis to look closer into the ages of the infected patients. To do that, I had to put together a spreadsheet with the data containing the information we shall need to carry out the analysis.
Data Analysis
From the data collected and input on an Excel sheet, there are sixty patients with the infectious disease. Of the patient’s whose data has already been collected an input on the excel sheet, the ages range from thirty-five years of age to seventy-six. There is only one patient in their thirties with the age of thirty-five. There are five patients in their forties, One forty-five, one forty-six, two at forty-eight and two at forty-nine. There are fifteen patients in their fifties, two at fifty, one fifty-two, one fifty-three, one fifty-four, four at fifty-five, one fifty-six, one at fifty-eight and four at fifty-nine. There are twenty-three patients in their sixties, five at sixty, one at sixty-two, one at sixty-three, two at sixty-four, one at sixty-five, three at sixty-eight and seven at sixty-nine. Finally, we have fifteen infected patients in their seventies, six at seventy, three at seventy-one, three at seventy-two, one at seventy-three, one at seventy-four and one at seventy-six. From the graph in Figure 1 below, the horizontal axis depicts the age group of patients infected with the disease and the vertical axis depicts the number of patients in the age group infected with the disease.
Figure 1
Data Classification
The qualitative variables in our data analysis would be the names of the patients infected with the disease while the quantitative data would be their ages, nu ...
1 The Outcomes of Neural Stem Cell Transplantation and .docx
1
The Outcomes of Neural Stem Cell Transplantation and Localized Drug Therapy on Patients
Suffering from Traumatic Brain Injury
John Doe
Panther ID: 1212121
Assignment #3
Florida International University
2
Method
Traumatic Brain Injury (TBI) is a resonating issue here in the U.S. and it comes as no
surprise that it has increased in awareness as one of the nation’s most prevalent injury related
deaths within the last 15 years (American Speech-Language-Hearing Association [ASHA],
2009). It is an illness of great importance due to its association of injuries related to military
combat operations, both the Department of Defense (DoD) and Veteran Affairs (VA) are
recognized leaders in TBI care and are in constant joint health practices with research based
universities such as The University of Miami Miller School of Medicine and The University of
Michigan Health System [UMHS] (Dennis, 2013). My methods paper will incorporate a holistic
overview of the overall effectiveness of Neural Stem Cell (NSC) engraftment on TBI patients
based on publications reported within scholarly journals. The overall efficacy of treatment will
be compared to many control groups that serve as a basis to see if NSC outcomes lessen or
diminish possible injuries, as a disclaimer, findings within TBI based research do not support nor
condone that there is a cure to secondary injuries such as comas, neuronal cell death, loss of
motor or cognitive function, paralysis, or even death due to TBI. Simply put, this research paper
will look at collaborative efforts that a controlled laboratory setting has made in regards to
ameliorating TBI conditions in either acute or severe injuries and review the success of treatment
in the hopes that it can serve patients and their respective loved ones in finding more adequate
treatment platforms that can efficiently save lives in the long run.
Research Method & Design Appropriateness
According to Martyn Shuttleworth (2008), the top three most widely used research
methods are Experimental Research Methods, Opinion Based Research Methods, and
Observational Research Methods. There are a myriad of factors to take into account and evaluate
3
when choosing the correct research method. Every experimental design must make compromises
and generalizations, so each individual researcher must minimize these, but, also do it while
being realistic (Shuttleworth, 2008).
Experimental Research Methods is a more straightforward experiment that involves the
standard practice of manipulating quantitative data and independent variables to generate
statistically analyzable data. The results generated can be quantified using a testable hypothesis,
with statistical information giving a clear and unambiguous picture (Shuttleworth, 2008).
Opinion Based Research Methods generally involve designing an experiment and collecting
numerical data that that can be repr.
1 The Outcomes of Neural Stem Cell Transplantation and .docx
1
The Outcomes of Neural Stem Cell Transplantation and Localized Drug Therapy on Patients
Suffering from Traumatic Brain Injury
John Doe
Panther ID: 1212121
Assignment #3
Florida International University
2
Method
Traumatic Brain Injury (TBI) is a resonating issue here in the U.S. and it comes as no
surprise that it has increased in awareness as one of the nation’s most prevalent injury related
deaths within the last 15 years (American Speech-Language-Hearing Association [ASHA],
2009). It is an illness of great importance due to its association of injuries related to military
combat operations, both the Department of Defense (DoD) and Veteran Affairs (VA) are
recognized leaders in TBI care and are in constant joint health practices with research based
universities such as The University of Miami Miller School of Medicine and The University of
Michigan Health System [UMHS] (Dennis, 2013). My methods paper will incorporate a holistic
overview of the overall effectiveness of Neural Stem Cell (NSC) engraftment on TBI patients
based on publications reported within scholarly journals. The overall efficacy of treatment will
be compared to many control groups that serve as a basis to see if NSC outcomes lessen or
diminish possible injuries, as a disclaimer, findings within TBI based research do not support nor
condone that there is a cure to secondary injuries such as comas, neuronal cell death, loss of
motor or cognitive function, paralysis, or even death due to TBI. Simply put, this research paper
will look at collaborative efforts that a controlled laboratory setting has made in regards to
ameliorating TBI conditions in either acute or severe injuries and review the success of treatment
in the hopes that it can serve patients and their respective loved ones in finding more adequate
treatment platforms that can efficiently save lives in the long run.
Research Method & Design Appropriateness
According to Martyn Shuttleworth (2008), the top three most widely used research
methods are Experimental Research Methods, Opinion Based Research Methods, and
Observational Research Methods. There are a myriad of factors to take into account and evaluate
3
when choosing the correct research method. Every experimental design must make compromises
and generalizations, so each individual researcher must minimize these, but, also do it while
being realistic (Shuttleworth, 2008).
Experimental Research Methods is a more straightforward experiment that involves the
standard practice of manipulating quantitative data and independent variables to generate
statistically analyzable data. The results generated can be quantified using a testable hypothesis,
with statistical information giving a clear and unambiguous picture (Shuttleworth, 2008).
Opinion Based Research Methods generally involve designing an experiment and collecting
numerical data that that can be repr ...
Re-admit Historical using SAS Visual Analytics
Analysis of hospital readmission using SAS Visual Analytics (Data Explorer and Report Designer)
Mapping Elections1. Identify at least three types of maps (e.docx
Mapping Elections
1. Identify at least three types of maps (e.g., choropleth map, cartogram, proportional symbol map, etc) used to represent information relevant to Presidential elections (these uses might be during each party’s primary competition, after candidates are picked but prior to the election, on the day of the election, or for post-election analysis). Find a specific online example of each and provide a URL for the map. Refer to your text for the kinds of maps that are possible and if you identify a map type not covered in your text, be sure to note that is a type not covered, and briefly explain the characteristic of this map type.
2. Identify the kinds of data that are used for each map type. What is the data source in each case and was that an appropriate source (why)? Are there any better data sources and if so what are they and what makes them better?
3. For each map type, identify at least one key decision that the author made about how to portray the data. Again, refer to your text and other sources for ideas on what the key decisions might be.
4. Produce a critical evaluation of the example(s) you pick to represent each of the three map types you identify. Focus on any geographic information collection, processing, representation issues that are appropriate as well as on how the author uses the map. For the former, things to consider include whether the map type is appropriate to the data type (e.g., nominal, ordinal, interval, ratio; derived versus raw data; etc.); whether any data classification method applied is appropriate and if so whether it is done correctly; whether the specific symbolization choices (colors, sizes, etc) are reasonable; etc. Consider how the map is described by the author and what (if anything) they claim it shows. If they do not make any explicit claims, consider the context in which the map appears and discuss what you believe the motivation for using the maps was and whether this map use was both appropriate and supportable based on ideas you have learned this term. If any of the maps are dynamic (animated or interactive), consider the effectiveness or usability of the dynamic map components. Be sure to include screen shots of each map discussed in your report as well as URLs to the original.
Producing the Project Report
· You may prepare your report in one of two formats: Microsoft Word (.doc) or Adobe Acrobat (.pdf).
· Project reports should include a title page and be formatted so that images are legible.
Instructors cannot evaluate reports that contain blurry, shrunken images. If necessary, change your page orientation or size in page setup to make room for full-sized, legible images.
· Remember that you must include two in-line citations, a correctly formatted bibliography, and acknowledge where you obtained your map(s).
1
PHASE 1
Scenario of NCLEX Memorial Hospital where records of the patients with infectious disease are studied in this paper, client number, in ...
Linear Equations in the Medical FieldNames Yurievna Rodriguez.docx
Linear Equations in the Medical Field
Names: Yurievna Rodriguez
Geydis Pizano
Guillermo Pupo
Prof: Brenda Gonzalez
Inter Algebra 1
A linear equation is an algebraic equation in which each term has an exponent of one and its graphing results into a straight line.
Linear equations focus on collecting and analyzing data and providing a result as the output.
The result can take numerical form i.e. numbers or in form of images such as in X-rays and MRI scans.
Linear equations have a wide application in medical fields such as in generation of images in X-rays and in calculations such as in the determination of dosages or body assessments( Abdlrazg, 2016).
Linear equations form part of applied mathematics in the medical field.
2
Determination of BSA
First, linear equations are used in determination of body surface area (BSA) for patients.
BSA can be obtained through a nomogram or calculated by a computer or a scientific calculator.
For instance, medics commonly determine BSA by the use of Mosteller formula.
The formula uses the square root of the product of weight and height, divided by 3600.
Body surface area is important in areas related to body metabolic activities such as extracorporeal circulation, body fluid requirements, ventilation, among others.
3
Determination of Dosage
Nurses use linear equations to calculate the doses to be administered to patients.
Determination of doses involves organizing information and using a linear equation to solve the problem.
Dosages can be calculated using three ways: desired over have or the formula method, dimensional analysis method, and ration and proportion method.
Of all the three, ration and proportion, as well as the formula method use linear equations (Toney-Butler & Wilcox, 2019).
Calculating the amount of drug to be administered to a patient is very essential as wrong doses cannot heal the patient cause adverse body reactions or even kill the patient.
4
For example, the formula method relates the desired dose and the amount to be taken by the patient using the relationship: Desired amount/available amount × quantity= unknown amount (Butler & Wilcox, 2019).
It can be represented in another way as D/A × Q=X.
An example is 500 mg of medicine , available in 100 mg and in the form of tablets.
Inserting the values in the equation D/A × Q=X, will be 500 mg/100 mg × 1 tablet = X,
Solving the equation gives the value of X as 5 tablets.
The formula method can be used in calculation of doses for other medications such as IV and syrup solutions. In other words, it is not limited to tablets.
5
The system of linear equations in CT scans are said to be overdetermined since there are more equations that unknows.
Specifically, in CT, the number of X-ray beams exceeds the number of pixels.
For instance, the human brain is divided into several grids during scanning. The X-ray source then rotates round the brain generating beams at different angles.
An amount of the X-ray’s intensity ...
Running head PHASE 1 SCENARIO NCLEX MEMOORIAL HOSPITAL1PHASE .docx
Running head: PHASE 1 SCENARIO NCLEX MEMOORIAL HOSPITAL 1
PHASE 1 SCENARIO NCLEX MEMORIAL HOSPITAL 6
PHASE 1/ Option 2 SCENARIO NCLEX MEMORIAL HOSPITAL
Name: Rodney Wheeler
Institution: Rasmussen College
Course: STA3215 Section 01 Inferential Statistics and Analytics
Date: 02/17/17
Introduction
The scenario I will be working with is that I am working at NCLEX Memorial Hospital in the infectious disease unit. As a healthcare professional, I need to work to improve the health of individuals, families and communities in various settings. The current situation that has posed as a problem at the hospital and raised eyebrows is that in the past few days, there has been an increase in patients admitted with a particular infectious disease. The basic statistical analysis shows that the disease does not affect minors hence the ages of the infected patients does play a critical role in the method that shall be required to treat the patients in order to impact positively on the health and well-being of the clients being served whether infected with the disease or associated with those infected. After speaking to the manager, we decided that we shall work together in utilising the available statistical analysis to look closer into the ages of the infected patients. To do that, I had to put together a spreadsheet with the data containing the information we shall need to carry out the analysis.
Data Analysis
From the data collected and input on an Excel sheet, there are sixty patients with the infectious disease. Of the patient’s whose data has already been collected an input on the excel sheet, the ages range from thirty-five years of age to seventy-six. There is only one patient in their thirties with the age of thirty-five. There are five patients in their forties, One forty-five, one forty-six, two at forty-eight and two at forty-nine. There are fifteen patients in their fifties, two at fifty, one fifty-two, one fifty-three, one fifty-four, four at fifty-five, one fifty-six, one at fifty-eight and four at fifty-nine. There are twenty-three patients in their sixties, five at sixty, one at sixty-two, one at sixty-three, two at sixty-four, one at sixty-five, three at sixty-eight and seven at sixty-nine. Finally, we have fifteen infected patients in their seventies, six at seventy, three at seventy-one, three at seventy-two, one at seventy-three, one at seventy-four and one at seventy-six. From the graph in Figure 1 below, the horizontal axis depicts the age group of patients infected with the disease and the vertical axis depicts the number of patients in the age group infected with the disease.
Figure 1
Data Classification
The qualitative variables in our data analysis would be the names of the patients infected with the disease while the quantitative data would be their ages, number of patients in each age category or age bracket that are infected with the disease and the number of patients in each specific age that are affect ...
2019 10 3 Originality ReportinalityReportultraattemptI.docx
2019/ 10/ 3 Originality Report
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Homework statistics
Title: Homework statistics chapter 7
Name: Date:
Introduction: The most usual applications of Statistics is describing a set of data descriptive statistics, regression, and
hypothesis testing and inferential statistics. The two main branches are descriptive and inferential statistics. People who do not
have any formal training in statistics are more familiar with inferential statistics than with descriptive statistics. Descriptive
Statistics Definition
The descriptive statistics is the type of statistical analysis which helps to describes about the data in some meaningful way. The
statistics is used to describe quantitatively about the important features of the data or information. The descriptive statistics
gives the summaries of the given sample as well as the observations done. These summaries or descriptions can either be
graphical or quantitative. Inferential Statistics Definition
Inferential statistics is the type of statistics which deals with making conclusions. It inferences about the predictions for the
population. It also analyses the sample. Basically, the inferential statistics is the procedure of drawing predictions and
conclusions about the given data which is subjected to the random variations. Inferential statistics includes detection and
prediction of observational and sampling errors. This type of statistics is being utilized in order to make estimates and test the
hypotheses using given data. There are two major divisions of inferential statistics: 1) Confidence Interval: The
confidence interval is represented in the form of an interval that provides a range for the parameter of given population. 2)
Hypothesis Test: Hypothesis tests are also known as tests of significance which tests some claim for the population by analyzing
sample. In this pape ...
Between Black and White Population1. Comparing annual percent .docx
Between Black and White Population
1. Comparing annual percent of Medicare enrollees having at least one ambulatory visit between B and W
2. Comparing average annual percent of diabetic Medicare enrollees age 65-75 having hemoglobin A1c between B and W
3. Comparing average annual percent of diabetic Medicare enrollees age 65-75 having eye examination between B and W
4. Comparing average annual percent of diabetic Medicare enrollees age 65-75 having
Students will develop an analysis report, in five main sections, including introduction, research method (research questions/objective, data set, research method, and analysis), results, conclusion and health policy recommendations. This is a 5-6 page individual project report.
Here are the main steps for this assignment.
Step 1: Students require to submit the topic using topic selection discussion forum by the end of week 1 and wait for instructor approval.
Step 2: Develop the research question and
Step 3: Run the analysis using EXCEL (RStudio for BONUS points) and report the findings using the assignment instruction.
The Report Structure:
Start with the
1.Cover page (1 page, including running head).
Please look at the example http://www.apastyle.org/manual/related/sample-experiment-paper-1.pdf (you can download the file from the class) and http://www.umuc.edu/library/libhow/apa_tutorial.cfm to learn more about the APA style.
In the title page include:
· Title, this is the approved topic by your instructor.
· Student name
· Class name
· Instructor name
· Date
2.Introduction
Introduce the problem or topic being investigated. Include relevant background information, for example;
· Indicates why this is an issue or topic worth researching;
· Highlight how others have researched this topic or issue (whether quantitatively or qualitatively), and
· Specify how others have operationalized this concept and measured these phenomena
Note: Introduction should not be more than one or two paragraphs.
Literature Review
There is no need for a literature review in this assignment
3.Research Question or Research Hypothesis
What is the Research Question or Research Hypothesis?
***Just in time information: Here are a few points for Research Question or Research Hypothesis
There are basically two kinds of research questions: testable and non-testable. Neither is better than the other, and both have a place in applied research.
Examples of non-testable questions are:
How do managers feel about the reorganization?
What do residents feel are the most important problems facing the community?
Respondents' answers to these questions could be summarized in descriptive tables and the results might be extremely valuable to administrators and planners. Business and social science researchers often ask non-testable research questions. The shortcoming with these types of questions is that they do not provide objective cut-off points for decision-makers.
In order to overcome this problem, researchers often seek to answer o ...
Running head MARKETING ANALYSIS ASSIGNMENTS .docx
Running head: MARKETING ANALYSIS ASSIGNMENTS 1
MARKETING ANALYSIS ASSIGNMENTS 6
Researching Marketing Questions
MKT/571
Melissa Simmons
Roberto Ancis
Part 1: Memorandum
TO: Senior Vice President (Marketing)
FROM: Jacob Glenns
DATE: August 19, 2018
SUBJECT: Marketing Analysis
Summary Analysis
This analysis of the market report that was presented the market analyst provides detailed insights from the data that may help in formulating an effective marketing strategy. The key information include: revenue performance for the first half between 2015 and 2016 and revenue trends over the same period. This information help in deciding whether to the organization should continue with its growth strategy or to reverse the decline.
Revenue Analysis
Analysis of the company’s semiannual performance- between January and June- indicates that there was an increase of 10.18 percent in the generated revenues per day from 96,000 dollars to 105,768 dollars in 2015 and 2016 respectively. The revenues per day, domestic market, were 93,683 dollars and 85,181 dollars in 2016 and 2015 respectively, over the same period. Overall, the semiannual revenue for the year 2016 was 13,644,073 dollars with the United States market contributing 12,085,137 dollars, which is approximately 88.6 percent of the semiannual revenue. The international market contributed 1,558,936 dollars, which is 11.4 percent of the total revenue. The average gross profit per day was 8.3 percent for the six months between January and June, 2016. For the three months of April, May and June, 2016 the total revenue was 7,024,096 dollars with the domestic market contributing 6,145,978 dollars and the international market contributing 878,119 dollars. The gross profit was 6.5 percent.
Revenue Trends
With regards to customer class, commercial customers contributed 7,195,592 dollars in the six months of January to June, 2016. The revenue per day was 55,780 dollars, an increase of 5,008 dollars compared to 50,772 dollars realized over the same period in 2015. At the second place was the municipal segment with 1,634,643 dollars. The revenue per day for the first six months was 12,672 in 2016 compared to 12,034 in 2015. The international market segment contributed 1,535,905 dollars and the revenue per day was 11,906 dollars and 11,700 dollars in 2016 and 2015 respectively. The other important segments- resellers, industrial labs, government, resell, education and others- also registered increments in the revenue per day for the first 6 months between 2015 and 2016. The revenue trend for the second quarter (between April and May) illustrate that commercial market contributed 1,130,973 dollars which is 50 percent of the total revenue from the customer class segment. The international market contributed 323,990 follo.
Running head MANAGING A DIVERSE WORKFORCE1MANAGING A DIVERSE.docx
Running head: MANAGING A DIVERSE WORKFORCE 1
MANAGING A DIVERSE WORKFORCE 6
Managing a diverse workforce
Name
Institutional affiliation
What does it mean to be an effective manager in a diverse workforce?
According to Chip Conley, the workforce diversity is characterized of gender, ethnicity and age; which needs a much keener attention. He points out that an effective manager should realize that age diversity makes a company stronger and that different generations within a workplace should focus on mentoring one another at work. He emphasizes on the need to allow openness with one another so that wisdom; knowledge, experience and skills from the young to the old and vice versa. According to Chip Conley, the current 60s is the new 40s and that the current 30s is the new 50s; a key note to take on how effective relationship in a workplace could enrichen a company with greater shared wisdom and skills. Every manager need to relate such knowledge in ensuring effective making of modern elders from the millennials.
According to Chip, an effective manager should establish a learning environment for the boomers and the millennials. Each generation should see the other as assets from which they can derive wisdom. Moreover, Chip calls for both the millennials and the boomers to fix their ego, perhaps so that they can enhance their relationship and get to learn from one another. He calls for the need of the managers to enhance a growth mindset in a workplace and the need for the employees to be curious of getting to know what the other generation can offer, and trying to oneself. Chip states that “Curiosity is the elixir for life”
Working on the psychological empowerment of specifics groups and ensuring mental flexibility is very important for various generations to work coherently effectively. Additionally, a manager in charge of a diverse workforce should ensure that the differences existing between the BB and X generations, and the Y and Z generations should be harmonized so that they do not tamper with the achievement of the organizations set goals and objectives (Toro, Labrador-Fernández & De Nicolas, 2019).
Maintaining a positive working environment helps in enhancing the performance of a diverse workforce. Looking at the small business managers, workforce diversity can be well managed if the owner’s manager supports the existing generational interconnections and the variations as a result of the general difference defining these groups by valuing their differences and the similarities. An effective manager is therefore required to cause a diversity openness among the workforce. Such ensure the performance at all levels, i.e. both the organizational and individual. A manager should, therefore, have the ability to effectively enforce the eradication of the internal communication barriers existing as a result generational, racial, gender, ethnic, age, personality tenure, cognitive style, education among other dissimilarities .
More Related Content
Similar to Running head Final Project Data Analysis1Final Project Data A.docx
Phase 2Phase 2Lucia RuizRasmussen College.docx
Phase 2
Phase 2
Lucia Ruiz
Rasmussen College
Author Notes
This paper is being submitted on February 26, 2017 for Juton Hemphill’s Inferential Statistics and Analytics course.
In the statistical inference, the main aim is to estimate the populations’ parameters by the use of samples that have been drawn from that population.
There is thus the need to create a confidence interval. It gives the range values that have a chance of including unknown parameters from the population from the sample drawn (2017). Simply this means that when drawing an inference from a sample taken we have the estimate of the population parameter and the margin of error which means there is a chance of inclusion of unknown population parameter, the estimated range being calculated from a given set of sample data (DG, 2017).
The point estimate of a population parameter is a single value used to estimate the population parameter. For example, the sample mean x is a point estimate of the population mean μ. Point estimation is defined as the process by which the estimation of parameters from a normal probability distribution that is based on the data that is observed from a particular population.
The mean is the best point estimator. It is because the mean in a normal distribution is the average of the data set and normally the center of the data. It is where most of the items in the population lie and usually represent the data set. For all populations, the sample mean x is an unbiased estimator of the population mean µ, meaning that the distribution of sample means tends to center about the value of the population mean µ. For most populations, the distribution of sample means x is always more consistent (with less variation) than the distributions of other sample statistics.
The confidence interval that is created from a range based on a confidence level and useful in the estimating the actual population values based on the normal distribution for a statistic of that population. It is useful to accommodate a range of estimates and reduce chances of avoiding of misinterpretation of non-significant results of small studies ("Point Estimates and Confidence Intervals", 2017).
Since the best point estimator of the population means is the sample mean x is a point estimate of the population mean μ then for our data, then the Mean = 3705 / 60 = 61.81667 is the best.
At 95% confidence level
)
)
59.26 < x < 64.38
At 99% confidence level
)
)
58.45 < x < 65.18
Interpretation: at 95% confidence level we estimate the populations mean to be 61.82. We are 95% confident that the true value of the mean lies between 59.26 < x < 64.38. From our study of the patients infected with the infectious disease in NCLEX Memorial Hospital is that at 95% confidence interval the mean lies between 59.26 < x < 64.38.
On the other hand, at 99% confidence level, we estimate the populations mean to be 61.82. We are 95% confident that the true value of the mean lies between 58.45 < x < 6.
Running Head SCENARIO NCLEX MEMORIAL HOSPITAL .docx
Running Head: SCENARIO NCLEX MEMORIAL HOSPITAL 1
SCENARIO NCLEX MEMORIAL HOSPITAL 11
Course Project - Phase 4
Name: Rodney Wheeler
Institution: Rasmussen College
Course: STA3215 Section 01 Inferential Statistics and Analytics
Date: 03/14/17
Introduction
The scenario I will be working with is that I am working at NCLEX Memorial Hospital in the infectious disease unit. As a healthcare professional, I need to work to improve the health of individuals, families and communities in various settings. The current situation that has posed as a problem at the hospital and raised eyebrows is that in the past few days, there has been an increase in patients admitted with a particular infectious disease. The basic statistical analysis shows that the disease does not affect minors hence the ages of the infected patients does play a critical role in the method that shall be required to treat the patients in order to impact positively on the health and well-being of the clients being served whether infected with the disease or associated with those infected. After speaking to the manager, we decided that we shall work together in utilising the available statistical analysis to look closer into the ages of the infected patients. To do that, I had to put together a spreadsheet with the data containing the information we shall need to carry out the analysis.
Data Analysis
From the data collected and input on an Excel sheet, there are sixty patients with the infectious disease. Of the patient’s whose data has already been collected an input on the excel sheet, the ages range from thirty-five years of age to seventy-six. There is only one patient in their thirties with the age of thirty-five. There are five patients in their forties, One forty-five, one forty-six, two at forty-eight and two at forty-nine. There are fifteen patients in their fifties, two at fifty, one fifty-two, one fifty-three, one fifty-four, four at fifty-five, one fifty-six, one at fifty-eight and four at fifty-nine. There are twenty-three patients in their sixties, five at sixty, one at sixty-two, one at sixty-three, two at sixty-four, one at sixty-five, three at sixty-eight and seven at sixty-nine. Finally, we have fifteen infected patients in their seventies, six at seventy, three at seventy-one, three at seventy-two, one at seventy-three, one at seventy-four and one at seventy-six. From the graph in Figure 1 below, the horizontal axis depicts the age group of patients infected with the disease and the vertical axis depicts the number of patients in the age group infected with the disease.
Figure 1
Data Classification
The qualitative variables in our data analysis would be the names of the patients infected with the disease while the quantitative data would be their ages, nu ...
1 The Outcomes of Neural Stem Cell Transplantation and .docx
1
The Outcomes of Neural Stem Cell Transplantation and Localized Drug Therapy on Patients
Suffering from Traumatic Brain Injury
John Doe
Panther ID: 1212121
Assignment #3
Florida International University
2
Method
Traumatic Brain Injury (TBI) is a resonating issue here in the U.S. and it comes as no
surprise that it has increased in awareness as one of the nation’s most prevalent injury related
deaths within the last 15 years (American Speech-Language-Hearing Association [ASHA],
2009). It is an illness of great importance due to its association of injuries related to military
combat operations, both the Department of Defense (DoD) and Veteran Affairs (VA) are
recognized leaders in TBI care and are in constant joint health practices with research based
universities such as The University of Miami Miller School of Medicine and The University of
Michigan Health System [UMHS] (Dennis, 2013). My methods paper will incorporate a holistic
overview of the overall effectiveness of Neural Stem Cell (NSC) engraftment on TBI patients
based on publications reported within scholarly journals. The overall efficacy of treatment will
be compared to many control groups that serve as a basis to see if NSC outcomes lessen or
diminish possible injuries, as a disclaimer, findings within TBI based research do not support nor
condone that there is a cure to secondary injuries such as comas, neuronal cell death, loss of
motor or cognitive function, paralysis, or even death due to TBI. Simply put, this research paper
will look at collaborative efforts that a controlled laboratory setting has made in regards to
ameliorating TBI conditions in either acute or severe injuries and review the success of treatment
in the hopes that it can serve patients and their respective loved ones in finding more adequate
treatment platforms that can efficiently save lives in the long run.
Research Method & Design Appropriateness
According to Martyn Shuttleworth (2008), the top three most widely used research
methods are Experimental Research Methods, Opinion Based Research Methods, and
Observational Research Methods. There are a myriad of factors to take into account and evaluate
3
when choosing the correct research method. Every experimental design must make compromises
and generalizations, so each individual researcher must minimize these, but, also do it while
being realistic (Shuttleworth, 2008).
Experimental Research Methods is a more straightforward experiment that involves the
standard practice of manipulating quantitative data and independent variables to generate
statistically analyzable data. The results generated can be quantified using a testable hypothesis,
with statistical information giving a clear and unambiguous picture (Shuttleworth, 2008).
Opinion Based Research Methods generally involve designing an experiment and collecting
numerical data that that can be repr.
1 The Outcomes of Neural Stem Cell Transplantation and .docx
1
The Outcomes of Neural Stem Cell Transplantation and Localized Drug Therapy on Patients
Suffering from Traumatic Brain Injury
John Doe
Panther ID: 1212121
Assignment #3
Florida International University
2
Method
Traumatic Brain Injury (TBI) is a resonating issue here in the U.S. and it comes as no
surprise that it has increased in awareness as one of the nation’s most prevalent injury related
deaths within the last 15 years (American Speech-Language-Hearing Association [ASHA],
2009). It is an illness of great importance due to its association of injuries related to military
combat operations, both the Department of Defense (DoD) and Veteran Affairs (VA) are
recognized leaders in TBI care and are in constant joint health practices with research based
universities such as The University of Miami Miller School of Medicine and The University of
Michigan Health System [UMHS] (Dennis, 2013). My methods paper will incorporate a holistic
overview of the overall effectiveness of Neural Stem Cell (NSC) engraftment on TBI patients
based on publications reported within scholarly journals. The overall efficacy of treatment will
be compared to many control groups that serve as a basis to see if NSC outcomes lessen or
diminish possible injuries, as a disclaimer, findings within TBI based research do not support nor
condone that there is a cure to secondary injuries such as comas, neuronal cell death, loss of
motor or cognitive function, paralysis, or even death due to TBI. Simply put, this research paper
will look at collaborative efforts that a controlled laboratory setting has made in regards to
ameliorating TBI conditions in either acute or severe injuries and review the success of treatment
in the hopes that it can serve patients and their respective loved ones in finding more adequate
treatment platforms that can efficiently save lives in the long run.
Research Method & Design Appropriateness
According to Martyn Shuttleworth (2008), the top three most widely used research
methods are Experimental Research Methods, Opinion Based Research Methods, and
Observational Research Methods. There are a myriad of factors to take into account and evaluate
3
when choosing the correct research method. Every experimental design must make compromises
and generalizations, so each individual researcher must minimize these, but, also do it while
being realistic (Shuttleworth, 2008).
Experimental Research Methods is a more straightforward experiment that involves the
standard practice of manipulating quantitative data and independent variables to generate
statistically analyzable data. The results generated can be quantified using a testable hypothesis,
with statistical information giving a clear and unambiguous picture (Shuttleworth, 2008).
Opinion Based Research Methods generally involve designing an experiment and collecting
numerical data that that can be repr ...
Re-admit Historical using SAS Visual Analytics
Analysis of hospital readmission using SAS Visual Analytics (Data Explorer and Report Designer)
Mapping Elections1. Identify at least three types of maps (e.docx
Mapping Elections
1. Identify at least three types of maps (e.g., choropleth map, cartogram, proportional symbol map, etc) used to represent information relevant to Presidential elections (these uses might be during each party’s primary competition, after candidates are picked but prior to the election, on the day of the election, or for post-election analysis). Find a specific online example of each and provide a URL for the map. Refer to your text for the kinds of maps that are possible and if you identify a map type not covered in your text, be sure to note that is a type not covered, and briefly explain the characteristic of this map type.
2. Identify the kinds of data that are used for each map type. What is the data source in each case and was that an appropriate source (why)? Are there any better data sources and if so what are they and what makes them better?
3. For each map type, identify at least one key decision that the author made about how to portray the data. Again, refer to your text and other sources for ideas on what the key decisions might be.
4. Produce a critical evaluation of the example(s) you pick to represent each of the three map types you identify. Focus on any geographic information collection, processing, representation issues that are appropriate as well as on how the author uses the map. For the former, things to consider include whether the map type is appropriate to the data type (e.g., nominal, ordinal, interval, ratio; derived versus raw data; etc.); whether any data classification method applied is appropriate and if so whether it is done correctly; whether the specific symbolization choices (colors, sizes, etc) are reasonable; etc. Consider how the map is described by the author and what (if anything) they claim it shows. If they do not make any explicit claims, consider the context in which the map appears and discuss what you believe the motivation for using the maps was and whether this map use was both appropriate and supportable based on ideas you have learned this term. If any of the maps are dynamic (animated or interactive), consider the effectiveness or usability of the dynamic map components. Be sure to include screen shots of each map discussed in your report as well as URLs to the original.
Producing the Project Report
· You may prepare your report in one of two formats: Microsoft Word (.doc) or Adobe Acrobat (.pdf).
· Project reports should include a title page and be formatted so that images are legible.
Instructors cannot evaluate reports that contain blurry, shrunken images. If necessary, change your page orientation or size in page setup to make room for full-sized, legible images.
· Remember that you must include two in-line citations, a correctly formatted bibliography, and acknowledge where you obtained your map(s).
1
PHASE 1
Scenario of NCLEX Memorial Hospital where records of the patients with infectious disease are studied in this paper, client number, in ...
Linear Equations in the Medical FieldNames Yurievna Rodriguez.docx
Linear Equations in the Medical Field
Names: Yurievna Rodriguez
Geydis Pizano
Guillermo Pupo
Prof: Brenda Gonzalez
Inter Algebra 1
A linear equation is an algebraic equation in which each term has an exponent of one and its graphing results into a straight line.
Linear equations focus on collecting and analyzing data and providing a result as the output.
The result can take numerical form i.e. numbers or in form of images such as in X-rays and MRI scans.
Linear equations have a wide application in medical fields such as in generation of images in X-rays and in calculations such as in the determination of dosages or body assessments( Abdlrazg, 2016).
Linear equations form part of applied mathematics in the medical field.
2
Determination of BSA
First, linear equations are used in determination of body surface area (BSA) for patients.
BSA can be obtained through a nomogram or calculated by a computer or a scientific calculator.
For instance, medics commonly determine BSA by the use of Mosteller formula.
The formula uses the square root of the product of weight and height, divided by 3600.
Body surface area is important in areas related to body metabolic activities such as extracorporeal circulation, body fluid requirements, ventilation, among others.
3
Determination of Dosage
Nurses use linear equations to calculate the doses to be administered to patients.
Determination of doses involves organizing information and using a linear equation to solve the problem.
Dosages can be calculated using three ways: desired over have or the formula method, dimensional analysis method, and ration and proportion method.
Of all the three, ration and proportion, as well as the formula method use linear equations (Toney-Butler & Wilcox, 2019).
Calculating the amount of drug to be administered to a patient is very essential as wrong doses cannot heal the patient cause adverse body reactions or even kill the patient.
4
For example, the formula method relates the desired dose and the amount to be taken by the patient using the relationship: Desired amount/available amount × quantity= unknown amount (Butler & Wilcox, 2019).
It can be represented in another way as D/A × Q=X.
An example is 500 mg of medicine , available in 100 mg and in the form of tablets.
Inserting the values in the equation D/A × Q=X, will be 500 mg/100 mg × 1 tablet = X,
Solving the equation gives the value of X as 5 tablets.
The formula method can be used in calculation of doses for other medications such as IV and syrup solutions. In other words, it is not limited to tablets.
5
The system of linear equations in CT scans are said to be overdetermined since there are more equations that unknows.
Specifically, in CT, the number of X-ray beams exceeds the number of pixels.
For instance, the human brain is divided into several grids during scanning. The X-ray source then rotates round the brain generating beams at different angles.
An amount of the X-ray’s intensity ...
Running head PHASE 1 SCENARIO NCLEX MEMOORIAL HOSPITAL1PHASE .docx
Running head: PHASE 1 SCENARIO NCLEX MEMOORIAL HOSPITAL 1
PHASE 1 SCENARIO NCLEX MEMORIAL HOSPITAL 6
PHASE 1/ Option 2 SCENARIO NCLEX MEMORIAL HOSPITAL
Name: Rodney Wheeler
Institution: Rasmussen College
Course: STA3215 Section 01 Inferential Statistics and Analytics
Date: 02/17/17
Introduction
The scenario I will be working with is that I am working at NCLEX Memorial Hospital in the infectious disease unit. As a healthcare professional, I need to work to improve the health of individuals, families and communities in various settings. The current situation that has posed as a problem at the hospital and raised eyebrows is that in the past few days, there has been an increase in patients admitted with a particular infectious disease. The basic statistical analysis shows that the disease does not affect minors hence the ages of the infected patients does play a critical role in the method that shall be required to treat the patients in order to impact positively on the health and well-being of the clients being served whether infected with the disease or associated with those infected. After speaking to the manager, we decided that we shall work together in utilising the available statistical analysis to look closer into the ages of the infected patients. To do that, I had to put together a spreadsheet with the data containing the information we shall need to carry out the analysis.
Data Analysis
From the data collected and input on an Excel sheet, there are sixty patients with the infectious disease. Of the patient’s whose data has already been collected an input on the excel sheet, the ages range from thirty-five years of age to seventy-six. There is only one patient in their thirties with the age of thirty-five. There are five patients in their forties, One forty-five, one forty-six, two at forty-eight and two at forty-nine. There are fifteen patients in their fifties, two at fifty, one fifty-two, one fifty-three, one fifty-four, four at fifty-five, one fifty-six, one at fifty-eight and four at fifty-nine. There are twenty-three patients in their sixties, five at sixty, one at sixty-two, one at sixty-three, two at sixty-four, one at sixty-five, three at sixty-eight and seven at sixty-nine. Finally, we have fifteen infected patients in their seventies, six at seventy, three at seventy-one, three at seventy-two, one at seventy-three, one at seventy-four and one at seventy-six. From the graph in Figure 1 below, the horizontal axis depicts the age group of patients infected with the disease and the vertical axis depicts the number of patients in the age group infected with the disease.
Figure 1
Data Classification
The qualitative variables in our data analysis would be the names of the patients infected with the disease while the quantitative data would be their ages, number of patients in each age category or age bracket that are infected with the disease and the number of patients in each specific age that are affect ...
2019 10 3 Originality ReportinalityReportultraattemptI.docx
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Homework statistics
Title: Homework statistics chapter 7
Name: Date:
Introduction: The most usual applications of Statistics is describing a set of data descriptive statistics, regression, and
hypothesis testing and inferential statistics. The two main branches are descriptive and inferential statistics. People who do not
have any formal training in statistics are more familiar with inferential statistics than with descriptive statistics. Descriptive
Statistics Definition
The descriptive statistics is the type of statistical analysis which helps to describes about the data in some meaningful way. The
statistics is used to describe quantitatively about the important features of the data or information. The descriptive statistics
gives the summaries of the given sample as well as the observations done. These summaries or descriptions can either be
graphical or quantitative. Inferential Statistics Definition
Inferential statistics is the type of statistics which deals with making conclusions. It inferences about the predictions for the
population. It also analyses the sample. Basically, the inferential statistics is the procedure of drawing predictions and
conclusions about the given data which is subjected to the random variations. Inferential statistics includes detection and
prediction of observational and sampling errors. This type of statistics is being utilized in order to make estimates and test the
hypotheses using given data. There are two major divisions of inferential statistics: 1) Confidence Interval: The
confidence interval is represented in the form of an interval that provides a range for the parameter of given population. 2)
Hypothesis Test: Hypothesis tests are also known as tests of significance which tests some claim for the population by analyzing
sample. In this pape ...
Between Black and White Population1. Comparing annual percent .docx
Between Black and White Population
1. Comparing annual percent of Medicare enrollees having at least one ambulatory visit between B and W
2. Comparing average annual percent of diabetic Medicare enrollees age 65-75 having hemoglobin A1c between B and W
3. Comparing average annual percent of diabetic Medicare enrollees age 65-75 having eye examination between B and W
4. Comparing average annual percent of diabetic Medicare enrollees age 65-75 having
Students will develop an analysis report, in five main sections, including introduction, research method (research questions/objective, data set, research method, and analysis), results, conclusion and health policy recommendations. This is a 5-6 page individual project report.
Here are the main steps for this assignment.
Step 1: Students require to submit the topic using topic selection discussion forum by the end of week 1 and wait for instructor approval.
Step 2: Develop the research question and
Step 3: Run the analysis using EXCEL (RStudio for BONUS points) and report the findings using the assignment instruction.
The Report Structure:
Start with the
1.Cover page (1 page, including running head).
Please look at the example http://www.apastyle.org/manual/related/sample-experiment-paper-1.pdf (you can download the file from the class) and http://www.umuc.edu/library/libhow/apa_tutorial.cfm to learn more about the APA style.
In the title page include:
· Title, this is the approved topic by your instructor.
· Student name
· Class name
· Instructor name
· Date
2.Introduction
Introduce the problem or topic being investigated. Include relevant background information, for example;
· Indicates why this is an issue or topic worth researching;
· Highlight how others have researched this topic or issue (whether quantitatively or qualitatively), and
· Specify how others have operationalized this concept and measured these phenomena
Note: Introduction should not be more than one or two paragraphs.
Literature Review
There is no need for a literature review in this assignment
3.Research Question or Research Hypothesis
What is the Research Question or Research Hypothesis?
***Just in time information: Here are a few points for Research Question or Research Hypothesis
There are basically two kinds of research questions: testable and non-testable. Neither is better than the other, and both have a place in applied research.
Examples of non-testable questions are:
How do managers feel about the reorganization?
What do residents feel are the most important problems facing the community?
Respondents' answers to these questions could be summarized in descriptive tables and the results might be extremely valuable to administrators and planners. Business and social science researchers often ask non-testable research questions. The shortcoming with these types of questions is that they do not provide objective cut-off points for decision-makers.
In order to overcome this problem, researchers often seek to answer o ...
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More from wlynn1
Running head MARKETING ANALYSIS ASSIGNMENTS .docx
Running head: MARKETING ANALYSIS ASSIGNMENTS 1
MARKETING ANALYSIS ASSIGNMENTS 6
Researching Marketing Questions
MKT/571
Melissa Simmons
Roberto Ancis
Part 1: Memorandum
TO: Senior Vice President (Marketing)
FROM: Jacob Glenns
DATE: August 19, 2018
SUBJECT: Marketing Analysis
Summary Analysis
This analysis of the market report that was presented the market analyst provides detailed insights from the data that may help in formulating an effective marketing strategy. The key information include: revenue performance for the first half between 2015 and 2016 and revenue trends over the same period. This information help in deciding whether to the organization should continue with its growth strategy or to reverse the decline.
Revenue Analysis
Analysis of the company’s semiannual performance- between January and June- indicates that there was an increase of 10.18 percent in the generated revenues per day from 96,000 dollars to 105,768 dollars in 2015 and 2016 respectively. The revenues per day, domestic market, were 93,683 dollars and 85,181 dollars in 2016 and 2015 respectively, over the same period. Overall, the semiannual revenue for the year 2016 was 13,644,073 dollars with the United States market contributing 12,085,137 dollars, which is approximately 88.6 percent of the semiannual revenue. The international market contributed 1,558,936 dollars, which is 11.4 percent of the total revenue. The average gross profit per day was 8.3 percent for the six months between January and June, 2016. For the three months of April, May and June, 2016 the total revenue was 7,024,096 dollars with the domestic market contributing 6,145,978 dollars and the international market contributing 878,119 dollars. The gross profit was 6.5 percent.
Revenue Trends
With regards to customer class, commercial customers contributed 7,195,592 dollars in the six months of January to June, 2016. The revenue per day was 55,780 dollars, an increase of 5,008 dollars compared to 50,772 dollars realized over the same period in 2015. At the second place was the municipal segment with 1,634,643 dollars. The revenue per day for the first six months was 12,672 in 2016 compared to 12,034 in 2015. The international market segment contributed 1,535,905 dollars and the revenue per day was 11,906 dollars and 11,700 dollars in 2016 and 2015 respectively. The other important segments- resellers, industrial labs, government, resell, education and others- also registered increments in the revenue per day for the first 6 months between 2015 and 2016. The revenue trend for the second quarter (between April and May) illustrate that commercial market contributed 1,130,973 dollars which is 50 percent of the total revenue from the customer class segment. The international market contributed 323,990 follo.
Running head MANAGING A DIVERSE WORKFORCE1MANAGING A DIVERSE.docx
Running head: MANAGING A DIVERSE WORKFORCE 1
MANAGING A DIVERSE WORKFORCE 6
Managing a diverse workforce
Name
Institutional affiliation
What does it mean to be an effective manager in a diverse workforce?
According to Chip Conley, the workforce diversity is characterized of gender, ethnicity and age; which needs a much keener attention. He points out that an effective manager should realize that age diversity makes a company stronger and that different generations within a workplace should focus on mentoring one another at work. He emphasizes on the need to allow openness with one another so that wisdom; knowledge, experience and skills from the young to the old and vice versa. According to Chip Conley, the current 60s is the new 40s and that the current 30s is the new 50s; a key note to take on how effective relationship in a workplace could enrichen a company with greater shared wisdom and skills. Every manager need to relate such knowledge in ensuring effective making of modern elders from the millennials.
According to Chip, an effective manager should establish a learning environment for the boomers and the millennials. Each generation should see the other as assets from which they can derive wisdom. Moreover, Chip calls for both the millennials and the boomers to fix their ego, perhaps so that they can enhance their relationship and get to learn from one another. He calls for the need of the managers to enhance a growth mindset in a workplace and the need for the employees to be curious of getting to know what the other generation can offer, and trying to oneself. Chip states that “Curiosity is the elixir for life”
Working on the psychological empowerment of specifics groups and ensuring mental flexibility is very important for various generations to work coherently effectively. Additionally, a manager in charge of a diverse workforce should ensure that the differences existing between the BB and X generations, and the Y and Z generations should be harmonized so that they do not tamper with the achievement of the organizations set goals and objectives (Toro, Labrador-Fernández & De Nicolas, 2019).
Maintaining a positive working environment helps in enhancing the performance of a diverse workforce. Looking at the small business managers, workforce diversity can be well managed if the owner’s manager supports the existing generational interconnections and the variations as a result of the general difference defining these groups by valuing their differences and the similarities. An effective manager is therefore required to cause a diversity openness among the workforce. Such ensure the performance at all levels, i.e. both the organizational and individual. A manager should, therefore, have the ability to effectively enforce the eradication of the internal communication barriers existing as a result generational, racial, gender, ethnic, age, personality tenure, cognitive style, education among other dissimilarities .
Running head MANAGING TECHNOLOGICAL INNOVATION IN DIGITAL BUS.docx
Running head: MANAGING TECHNOLOGICAL INNOVATION IN DIGITAL BUSINESS
ENVIRONMENTS 1
Managing Technological Innovation in Digital Business Environments
Yolanda McNeil
ENGL 602 Field Project: Final Product
Liberty University
MANAGING TECHNOLOGICAL INNOVATION IN DIGITAL BUSINESS
ENVIRONMENTS 2
Introduction
Background of the Research
Innovation plays a critical role in assisting businesses to sustain and grow their market
shares. It takes place in dissimilar functions and parts of the business and it is significant to
understand the best way to create and manage it effectively. Digital technologies have been
regularly used in business and this has led to digitized workplaces that demand the need to invent
to remain at the top in the market (Kay & Willman, 2018). Digitizing places of work has played
a key role in changing the way business is usually managed and this has similarly affected how
innovation must be managed and embraced in such a novel business atmosphere. Therefore, the
best way to understand technological innovation in the digital business atmosphere is the need to
understand how technology has been shaping the business world.
The reason for choosing technological innovation in digital business environments is that
business owners play a critical role in the identification and application of new technologies. By
investing in initiatives that permit them to deliver efficient and effective services and products,
they discover innovative solutions to complex challenges (Camisón & Villar-López, 2014).
Successful technological innovation needs collaboration, expert project management, planning,
and execution. Worldwide competition and rigorous demand to bring commodities to market
very fast affect decisions.
Research Purpose
1
2
Tess Stockslager @ 2020-03-06T10:07:25-08:00
This wording seems a bit circular: "the best way to understand...is the need to understand." Is there a clearer way you could state this?
Tess Stockslager @ 2020-03-06T10:09:33-08:00
Even without the word "I," you're indirectly referring to yourself here, which isn't necessary in this paper. You don't need to explain why you chose your topic; instead, you should explain why the topic is important in the field (which is exactly what you did in this sentence--you just need to frame it differently).
MANAGING TECHNOLOGICAL INNOVATION IN DIGITAL BUSINESS
ENVIRONMENTS 3
The purpose of this research is to explore the role and importance of managing
technological innovation in the digital business environment. Technological innovation strategies
that a firm pursues can either break or make the company. The current business landscape is
increasingly multifaceted. For an organization to succeed in the modern business environment, it
is critical that it adopts digital innovation which can assist to attain its goals and remain at the top
in the competition (Camisón & Villar-Lóp.
Running head MANAGERIAL REPORT FOR SUPERVISING MANAGER 1MAN.docx
Running head: MANAGERIAL REPORT FOR SUPERVISING MANAGER
1
MANAGERIAL REPORT FOR SUPERVISING MANAGER
7
Managerial Report
HMGT 300 6380 Introduction to the U.S Health Care Sector 2205
Taneshia Davis
UMGC
Professor: Todd Price
May 31, 2020
Manager's Name and Role:
Name: The patient experience-supervising manager is Mr. Aleo Brandford
Roles:
The supervising manager ensures that all patients are fully engaged in inpatient experience activities under the supervision of highly experienced healthcare professionals. The manager also ensures that all healthcare professionals are compliant with policies, rules, and regulations that govern patients, healthcare practice, healthcare organizations, government, and the corporate world. Moreover, the supervisor conducts monitoring and evaluation of the healthcare providers to ensure they are delivering high-quality services within the set time. The manager also monitors and evaluates the healthcare systems in the organization to ensure that they are affirmative to rules, policies, and standards set for healthcare service facilities and providers as a to deliver satisfactory high-quality services. The manager, together with respective departments and personnel, initiates, improves, and implements patient experience programs that equip personnel with relevant patient experience skills, knowledge, and competencies necessary for satisfactory healthcare service provision. One other key role of the manager is the contact point for all inquiries, explanations, experiences, and feedbacks associated with patients and the healthcare facility.
Healthcare Setting:
The Minnesota Healthcare Facility is a county facility that offers preventive and curative healthcare services for in- and out-patients. It serves the entire region with all healthcare needs. It has both children and adults wings with fully functional departments and equipment. It is the only healthcare facility in rural with a population capacity of 200 per day. It is well equipped with childbirth and immunization facilities and serves the general public healthcare needs.
Managerial Issue:
Determining MeaslesSpread Rate
The manager needs to task-relevant departments to collect patient and exposed children information from children's care centers, schools, attendance lists, and health facilities. The information will help determine the rate of immunization, the number of patients, and approximate exposed children and other adults. The number of children vaccinated against measles, 21 days before its eruption should be identified from the Immunization Information System of Minnesota, and facility children's care center information System. The challenge will be on the follow up of the exposed children and administering necessary interventions. This is necessary for checking further spread of the disease in the community (Hall et al., 2017).
Impact & Details: Restrict Public Gathering
To restrict the mingling of children in healthcare faciliti.
Running head MANAGING DYNAMIC ENVIRONMENTS FINAL .docx
Running head: MANAGING DYNAMIC ENVIRONMENTS FINAL
1
MANAGING DYNAMIC ENVIRONMENTS FINAL
2
Managing Dynamic Environments Final
Managing Dynamic Environments Final
Introduction
The for-profit organization which will be analyzed in this report is a famous casual dining restaurant and bar called Buffalo Wild Wings Restaurant and Sports Bar. This is an international organization which has various outlets in different parts of the world such as in the United States, Mexico, Canada, Panama, India, and the Philippines among other countries. The reason why Buffalo Wild Wings is the target organization for this report is that it recently received a new president, Lyle Tick, who set an objective to improve the brand image of the restaurant so that it can attract more customers (Romeo, 2018). Due to this, the organization is undertaking some changes in its marketing which is an important component of the internal operations of the business. The change of focus is implementing a social media marketing campaign to increase the number of new customers for the restaurant. This report will evaluate different factors, positive and negative issues, and challenges, which can affect the change process as well as analyze different concepts which can be used to improve change management and change process so as to result to the desired outcomes.
Identify the role of strategic renewal in propelling change.
Strategic renewal is important in creating change interventions which will impact the team members and the organization positively. This is an important process which helps change managers to evaluate the existing progress of the change process and focus on how to improve the change process so that the desired outcome may be achieved. One of the roles of strategic renewal in propelling change is by revisiting and improving the change strategies. Strategic renewal ensures that the organization is able to develop a strategic game plan which will be used to promote different growth objectives during change management. This enhances change since the organization is able to focus on having a competitive advantage against other competitors and satisfying the customers’ needs to the best of its abilities. In the case of Buffalo Wild Wing Restaurant, it focused on adopting new growth objective which aimed at attracting more millennial customers to ensure it increases the size of the target market for the restaurant.
Strategic renewal helps in concentrating all the efforts in brainstorming and identification of solutions to challenges which may impact the change action plan. The organization and its employees are able to focus on finding different approaches which can be used to improve the experience resulting from the change process. This pushes change since the organization is able to avoid certain pitfalls which the organizations would have experienced. This aspect has been achieved by Buffalo Wild Wings Restaurant whereby the organization.
Running head MANAGING DONUT FRANCHISES1MANAGING DONUT FRANCHIS.docx
Running head: MANAGING DONUT FRANCHISES 1
MANAGING DONUT FRANCHISES 2
Managing Donuts
Joyce Crow
Ashford University
MGT 330 Management for Organization
Jill Heaney
May 10, 2020
District Manager of Five Dunkin’ Donut Franchises
Introduction
As the new District Manager, I intend to build and structure the foundation of workers for all the five Dunkin' Donuts establishments. My goal is to increase the fiscal profits for every unit to establish extra legacies to the company's brand. The paper analyzes the following categories of Dunkin' Donuts: job design including job analysis, job description and job specification, and organizational design. Workers job designs will be assessed with the use of a divisional structure for Bakers, Crewmembers, and managers. Inside of Dunkin' Donuts will be analyzed to decide the needs for recruiting and selecting applicants. Also, the essay discusses the training and performance appraisals for the value of significance to the franchise.
Job Design
Job design refers to the process of organizing duties and roles into a productive unit of work. The job design will include job analysis, job description and job specification. Job design occurs when managers decide the duties to be completed, the people who will do them and the selection approach to be adopted in choosing workers (Reilly, Minnick, & Baack, 2011). Below, I have used job analysis, job description, and job specification to discuss the job design of the five new establishments.
Job Analysis
The process of assigning tasks will be undertaken by the HR department and the departmental managers. I will be adapting the extermination model of job analysis. Every branch will have 5 to 8 workers per shift, with one being a manager, one may be a shift leader and the rest will include crewmembers and bakers. They will be in charge of food handling, housekeeping and sales. Each worker's qualification will include preparing donuts, coffee, frozen meals, and working on the cash register.
Job Description
For job descriptions, the current Dunkin' Donuts models will be appropriate for the Crewmembers, Bakers, and Management (https://www.peopleanswers.com/pa/testSplashPageEntry.do?splashURL=portalDunkinDonuts1&src=825452). Most roles at the organization are entry-level positions, which need filling customer orders through preparing drinks and baked food. Applicants will need to show their readiness to take directions and interact with the clients regularly.
Job Specification
Bakers, Crewmembers, and Shift Leaders – These are the entry-level spots that will need minimal requirements. Basic requirements include at least a High School Diploma (GED or equivalent), inclination to take direction and intermingle with clients, and interpersonal working capabilities. These roles are trainable on the job. The position of shift leader will be achievable by an existing baker or crewmember .
Running head MANAGEMENT DILEMMAS1MANAGEMENT DILEMMAS6.docx
Running head: MANAGEMENT DILEMMAS 1
MANAGEMENT DILEMMAS 6
Management Dilemmas
Name
Institutional Affiliation
Management Dilemmas
Part I: Research Questions
1. Should student athletes receive a stipend by the universities as reimbursement for participating in sports? Are there policies under the ISSF that guide on how best students should be compensated for their participation in different sports?
2. What challenges do coaches face in managing their respective teams? Is there an approved ISSF standard management structure that would allow coaches to participate and interact more with their players such that they are not only constrained to their managerial duties?
Part II: Research Topic
Problem Statement
Professional athletes earn large sums of money, though considered unethical; due to the fact that most of the times these athletes are students who are “exploited”. The estimated value rose through college athletics is considered to be roughly more than a billion dollars yearly, with this revenue being generated from an estimated 25 football schools and 64 basketball schools respectively (Brown & Williams, 2019). The concern raised is that the students do not get to see the money earned; but instead are offered athletic scholarships, allowing them to get free college education. The concerning factor is that most students use this opportunity as a chance to qualify for professional leagues, without considering the beneficial factors that their education offers. They are continuously to sacrifice their class and study hours such that they can practice and travel for their sports (Brown & Williams, 2019). Even though a scholarship seems like a good deal for some of these college athletes, what criteria is used to reward those athletes who are often viewed as celebrities and exploited for their affiliation with different institution to earn money for them?
Quite often, managers are faced with the dilemma of relating with their athletes mainly because they are absorbed in managerial duties that limit their interactions with their players. As a result, the element of teamwork is ignored and disregarded, leading to lack of communication, lack of trust, and continued conflict, which may affect the effectiveness of the team (Rollnick, Fader, Breckon, & Moyers, 2019). Sometimes the coaches aspect of caring is viewed as interference because there is no connection between the players and their coach, with coaches feeling left out of most decisions made by the players. This in mind, the study focuses on finding new strategies that can be applied by all coaches in every sport, such that the aspect of unity and communication is achieved, with coaches participating more in their respective projects.
Importance of the Study
Given the dynamic scope of this industry, it is important to do more research to understand the depth of the dilemma within the industry, with the use of previous and current research to provide insight on different pers.
Running head MANAGERIAL ACCOUNTING 1MANAGERIAL ACCOUNTING.docx
Running head: MANAGERIAL ACCOUNTING
1
MANAGERIAL ACCOUNTING
2
Managerial Accounting
Accounting can be defined as the procedure of keeping monetary financial records. Accounting can be group as financial and managerial accounting. For businesses to be successful, they need to be having both managerial and financial accounting experts. Impeccable managerial and financial bookkeeping are important to the progress and constant survival of any corporate. Structurally, economically, and lawfully, bookkeeping is an essential section in any institute, and the necessity for an extremely skilled accounting squad is unconditionally crucial. Despite the similarities between financial and managerial accounting, there are also differences between them.
The managerial accounting works through measuring, analyzing and reporting monetary and non-monetary information that aids directors to make judgements to accomplish the objectives of an organization. Managerial accounting emphasizes on the internal broadcasting and is not regulated by generally accepted accounting principles (GAAP). Management accounting is known for its much efforts to focus on the future rather than paying much attention to what happened in the past (Kinicki & Fugate, 2016). This type of accounting is so influential to the performance of directors and other workers as opposed to principally reporting financial events. There are no principles which guide the operations of management accounting.
Management accounting permits executives to charge attention on owners’ principal to aid judge a division’s presentation, although this may not be allowed by generally accepted accounting principles. Managerial accounting comprises assets or liabilities which may not be recognized by generally accepted accounting principles and it makes use of asset or liability quantifying rules like present values or resale prices which is not acceptable under GAAP.
Financial accounting on the other hand emphasizes on commentary to exterior events like shareholders, government interventions, and banks. It evaluates and registers business dealings and provides fiscal reports that are grounded on generally accepted accounting principles (GAAP). Financial bookkeeping is controlled by commonly accepted accounting principles (Weygandt, Kimmel & Kieso, 2015). Financial accounting comprises of sending monetary reports like income reports or balance sheets, to outside bodies like creditors, tax specialists, shareholders, and the Interior Revenue Service.
The managerial accounting positions out profit and loss accounts, job costing accounts, and operating resources, financial accounting conveys facts only for those on the external who want to decide the company's marketplace assessment. Managerial accounting emphases on issues and answers within an institute while financial accounting is worried with productivity from without. Managerial accountants make internal working reports, while financial accountants generat.
Running head LOGISTIC REGRESSION .docx
Running head: LOGISTIC REGRESSION 1
LOGISTIC REGRESSION 2
Logistic Regression
Student Name
Institution
Course
Instructor
Date
Question (a)
Categorical variables are useful in classifying data that usually takes only one form. An example where categorical variables can be used is when classifying the ages of different individual based on the gender of the participants. The use of n-1 variable in categorical variables makes the classification easier since variables take either of the quantitative provided. In these situations, the variables are limited to take either one or zero as the quantitative value to ease the classification process (Bühlmann & Dezeure, 2016). Classification based on n-1 variable tends to be faster and also saves time and does not have many problems. When a particular variable takes 1 is assumed to be quantitative but when it takes zero the assumption made is that the variable is absent. Categorical variables involving n variables, the n-1 variables are the only important variables since they classify the data given accordingly to the required quantitative values which I either 1 or 0.
Classification of information based on categorical valuables, the n variables tend to have problems. The n value can sometimes lead to problems that may end up prolonging the classification process and also make it difficult. The n variable has problem in resulting to multi-co linearity in classifying (Guo & Berkhahn, 2016). The problem results when there is similar interconnections between the variables this create a problem in interpreting the information. The interconnection of the n variables can result in the prediction of the other variable from the other. Another problem resulting in from categorical variables is that n variable is intuitively meaning that variables can be classified based on the interests or feelings of the research. Lastly, the n variables are redundant that is do not have updated information.
Question (b)
In statistics, logistic regressions are used in classification of variable that tend to have different forms either positive or negative values. Logistic regressions classify data consisting of dependent variables with and more than two or more independent variables. The classifications are based on pacing several variables at their different level of existence (van Smeden et al., 2016). Logistic regression predict the relationship of variables that can either take 1or 0 in the classification. Logistic regressions is concerned in giving descriptions to the data and give detailed information relationship between one independent variable and more nominal independent variables. For instance, logistic regression can be used in financial institutions to clarify financial defaulters. In classification of the data, logistic re.
Running head MANAGEMENT OF CONGESTIVE HEART FAILURE THROUGH MO .docx
Running head: MANAGEMENT OF CONGESTIVE HEART FAILURE THROUGH MO 2
MANAGEMENT OF CONGESTIVE HEART FAILURE THROUGH MO 8
Managing Congestive Heart Failure through Motivational Education
Rosaline Hicks
Chamberlain University
Dr. Sheryl Cator
March 26, 2020
The purpose of this paper is to discuss how motivation can improve outcomes in congestive heart failure (CHF). CHF is a chronic progressive condition that affects the pumping ability of the heart muscles. This paper will cover CHF as a practice problem, the role of evidence to in regard to CHF, and the role of the DNP practice scholar in the translation of evidence.
Addressing issues related to CHF management through education program is important in the improvement of self-management. Most of the reported readmission cases, morbidity, and mortality are associated with poor self-care and self-management of the diseases. The focus of most healthcare facilities when it comes to the management of the CHF is focused on an identified medication regimen, and little to no attention is given to the importance of patient education to improve self-management of CHF.
A study by Bader et al (2018) revealed that an advanced heart failure program helped in the improvement of disease awareness and self-care behaviors when the patients were led by well-trained heart failure nurses. Another study by Howie-Esquivel et al (2015) used the approach of TEACH-HF intervention to manage CHF patients. The study outcome revealed a significantly lower hospital re-admission rate and decrease in the length of stay.
DNP practice scholar play a key role in the translation of evidence. The DNP practice scholar is instrumental in the initiation of projects that focus on the standardized educational process for CHF patients. The initiation is done through the development of new education tools and clinician documentation of evidence-based heart failure care (Myslenski, 2018). Practice Problem and Question
Patient education is becoming an effective process of managing CHF at home. Patient education aids in the improvement of knowledge and self-care behaviors, thereby, reducing the incidence of readmissions cases (Bader, et al., 2018).
Heart failure is a common, high-risk condition that is characterized with high reports hospitalization and sometimes death. This disease affects more than 6.5 million Americans and in 2012 the CDC reported that it cost approximately 30.7 billion dollars to care for CHF patients and wages lost due to hospitalization. Unlike other cardiovascular illnesses, CHF appears to be the most common one and nearly 1 million new cases are being reported annually internationally. This, therefore, makes it the fastest growing cardiovascular disorder (Savarese & Lund, 2017).
This study is guided by the following Picot question: Does the multidisciplinary educational approach work effectively towards the prevention of hospital re-admission for patients diagnosed with congestive heart .
Running head MALWARE .docx
Running head: MALWARE 1
MALWARE 2
Student’s name:
Professor' name:
Topic:
Institution:
Date:
Malware-Trojan horse virus
Malware can be defined as any file or program that is introduced to a computer with the intention of harming the user. The harm to the user can be through interfering with his use of the compute, unauthorized access to his data, locking the user out of his computer and also spying on the user’s activity. There are several types of malware and they include ransom ware, Trojan horses, computer viruses, worms and spyware (White, Fisch & Pooch, 2017). For this particular assignment, I will focus on Trojan horse virus. The name Trojan horse comes from the famous Greek story, where Greek soldiers were able to take down the city of Troy after they sneaked into the city inside a wooden horse that was guised as a gift to the people of Troy. Just like the story the Trojan horse virus disguises itself as a legitimate program however the program provides unauthorized access into the system most of the time to hackers.
Most of the time, Trojan horses gain access to a secured system through social engineering. Most of the time, Trojan horse viruses are introduced into a system by duping a user into executing an attachment on an email guised to be unsuspicious. They can also be introduced via social media where users are tricked into clicking on fake advertisements or advertisements that offer fake rewards. Once the links or attachments are clicked on, a Trojan horse virus is introduced. Trojan horse viruses can allow an attacker to have access to a user’s personal information and other forms of data. Trojan horse viruses can affect other devices on the network through infection caused by the introduction of the first Trojan horse; most ransom ware is introduced through Trojan horse viruses (Wang, Lorch & Parno, 2016). In addition, through the use of Trojan horse viruses, attackers can modify data, copy data, block data, delete data and generally disrupt or distort the performance and operations of targeted computers or devices in a network.
Steps of mitigating a Trojan horse virus attack
The first step in mitigating a Trojan horse virus attack is the installation of effective anti-malware software or what is commonly referred to as an anti-virus. The anti-malware will detect as well as prevent any Trojan horse virus attack on a computer or a network. The second step in mitigating Trojan horse virus attacks is the installation of the latest available patches of the operating system in use. The third step is proper scanning of all external devices that are introduced to a computer or a network (Rader & Rahman, 2015). The fourth step is through the cautioning on the execution of any program th.
Running head LOS ANGELES AND NEW YORK BUDGETARY COMPARISON .docx
Running head: LOS ANGELES AND NEW YORK BUDGETARY COMPARISON 1
LOS ANGELES AND NEW YORK BUDGETARY COMPARISON
3
Los Angeles and New York budgetary comparison
Vibert Jacob
South University
Los Angeles and New York budgetary comparison
The cities for comparison in this assignment are the city of New York and the city of Los Angeles. These two are major cities in the United States that have large population and play a crucial role both locally and internationally. The cities have major infrastructural, social, and economic burdens to bear. They also have huge finances to budget for the management of their cities. In the financial year 2017, the city of New York budgeted for an expenditure of $84 billion (The City of New York, 2017). Los Angeles has a budget of $9.2 billion (City of Los Angeles, 2017). The New York City budget is larger than some of the states in the USA. Both cities are required to ensure they have a balanced budget each year with clear information about the sources of the funds, use of the fund and ensure that the budgetary deficits are clearly financed in each year.
The city of Los Angeles budgets is prepared with several underlying principles that must adhered. The city has a reserve fund, which equals to 5% of the city’s general fund revenues. The capital improvements fund for the city is equal to 1% of the city’s general fund revenue. The city holds that all the funds from one-time sources must be used to finance the one-time expenditures. The city of New York has also established several reserves to take care of uncertainties in the city (City of Los Angeles, 2017). These reserves include the Retiree health benefit trust funds, a general reserve as well as a capital stabilization reserve fund for the city.
Sources of funds
The two cities have almost similar sources of funds for their budgets. These sources of funds, however, have differing contributions to the city’s finances. The table below presents the proportional sources of incomes to the cities.
Los Angeles
New York
Source
%
%
property taxes
21.9
29
allocation from other government agencies
6.5
27
utility user tax
7.1
7
business occupation
8.6
4
licenses and other fees
24.5
8
sales tax
5.7
8
proprietary
5.3
13
miscellaneous
20.4
4
100
100
In the two cities, the property taxes account for the largest source of incomes. In New York, the allocation and distribution from other government and government agencies is the second largest source of income. This is due to the international nature of the city, which hosts major national and international offices. The city of Los Angeles has large commercial enterprises within its jurisdiction that contributed large amount of incomes in form of licenses, fees, and permits compared to New York’s city income from license and fees amounting to only 8% of the overall incomes. The miscellaneous sources of finance include the transfers from the reserve transfers, the special funds .
Running head MAJOR PROJECT1MAJOR PROJECT9Initial Ou.docx
Running head: MAJOR PROJECT
1
MAJOR PROJECT
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Initial Outline
Chicago
University
(The Working Title of this Major Paper Should Go Here Exactly as on the Title Page)
Foreclosure is a scary word for homeowners, but it is
not all that common today (citation needed). Bortz (2017) reported that the foreclosure rate (meaning the percentage of loans in foreclosure) currently hovers just under 1%. During economic downturns, like the housing crisis of 2011, foreclosure rates rose as high as 3.6% in United State (Bortz, 2017).
Research question
The phenomenon as mentioned above and literature background lead to the overriding research question, “what are the lived experiences of management executives whose companies face foreclosure?” The subareas of exploration for this question are:
i. The manager’s self-care practices
ii. The manager’s relationship with immediate relatives
iii. The manager’s business practices
iv. The manager’s relationships with subordinates
Methodology
In order to investigate the lived experiences of management executives, a phenomenological qualitative method will be employed. The relationships and practices of managers facing company foreclosure are the core of this research. Creswell (2013) discussed that the purpose of a phenomenological qualitative method is to …….
Proposed population
1. The homogenous group for the study is former management executives strictly from the operations department. The selected executives will have a background of having undergone company foreclosure at least once in the past 20 years.
2. Participants will be solicited through enticing advertisements online for filling surveys to participate in a study interview.
3. The number of participants will be restricted to 16 executives aged 35 years or more. Their former positions will be limited to operations management.
Data collection
1. The type of data to be accrued will be unstructured and semi-structured interviews.
2. Participants will be asked to participate in at least two rounds of one-on-one interviews spanning anywhere from 50 to 60 minutes each. Interviews will be conducted in person, by phone, or through an internet source such as Zoom.
3.
Bracketing
I am especially interested in this research question because my research showed scarce primary literature about the impact of company foreclosure on the personal and professional lives of executives’ manager and their families. With many companies facing foreclosure around the globe every year, it is surprising that very little research has been conducted on how they affected the lives of the involved executives. I suspect I may find it useful to know the real potential consequences of organizational shutdown in case I become a manager in the future. Even though one works hoping for the best, preparing for the worst is also a very rational route for any organizational management model.
(Do you have any first or third-party experience and/or knowledge of a.
Running Head MAJOR CONCERNS OF CLIMATE CHANGE IN CHINA 1MAJO.docx
Running Head: MAJOR CONCERNS OF CLIMATE CHANGE IN CHINA 1
MAJOR CONCERNS OF CLIMATE CHANGE IN CHINA 10
Major Concerns of Climate Change in China
Student’s Name:
Course Title:
Course Number:
Professor’s Name:
Date:
Major Concerns of Climate Change in China
Introduction
China is one of the critical countries in the world, which are considered to significantly contribute to the issue of climate change. Research indicates that China produces over 6.000 megatons of carbon dioxide every year. The increased concentration of carbon dioxide in the atmosphere is associated with increase in global warming, which perpetrates the climate change. To this end, China is regarded as the largest emitter of greenhouse gases across the globe based on absolute terms, contributing to about 22 percent of the total amount of emissions (Held, Nag & Roger, 2011). At the moment, the emissions of the greenhouse gases by China have exceeded the global per capita average, following the growth in the emissions by over 200 percent from 1990 to 2008. The concern of increased greenhouse gases emissions in China is largely associated with the countries appetite for economic growth. The historical growth of the Chinese economy has been tremendously effected through the use of fossil fuels as a major source of energy in industries. Despite the increased desire from the global community to mitigate the impacts of climate change, there is fear that the emission of greenhouse gases in the country may rise by between 55 and 75 by 2025 (Held, Nag & Roger, 2011). Therefore, it is important to discuss the different concerns presented by China regarding the issue of climate change that is tremendously perpetrated by increase in emission of carbon dioxide and other greenhouse gases.
Overview of the Issue of Climate Change in China
The Chinese government has established policies that are aimed at adopting effective governance of climate change, improved domestic capacity of effectively governing the energy use and emissions, as well as supporting the commitments that positively impact decline in future international emissions. China acknowledges the need to lower the emission of greenhouse gases as well as mitigating the impacts of climate change, which is a critical solution towards obtaining a healthier international environment (Lipin, 2016). As a matter of fact, numerous multinational negotiations have been advanced so as to develop a global climate regime that governs the efforts of reducing the emission of carbon dioxide and other greenhouse gases. Being among the world’s largest polluters, China has received increase attention from the global community. The country, which has the highest population of over 1.3 billion, has been steadfastly reluctant to comply to the suggestions by international organizations such as the United Nations Framework Convention on Climate Change (UNFCCC) (Held, Nag & Roger, 2011). These organizations have been engaged in pushing for .
Running Head LOGISTICS1Running Head LOGISTICS7.docx
Running Head: LOGISTICS 1
Running Head: LOGISTICS 7
Logistics and Supply Chain Operations
Stanley Thompson Jr.
DB 8035
24 May 2020
INTRODUCTION
Amazon is one of the fastest growing online retailer company in the United States of America that has been able to overhaul its business structure by using innovative strategies in supply chain management. Amazon has left most of its competitors have a hard time trying to catch up. The firm has made huge investments in the management of its inventory to include recent forms of technology to beat its competition. The firm has optimized every link in its supply chain to ensure its customers are satisfied and well attended to (Leblanc, 2019). This paper hence seeks to discuss Amazons supply chain operation factors such as; transport and security, procurement and inventory management, technology and information management, and articulate some of the global risk factors affecting the firm. Comment by TJS: Paragraphs need to be left justified Comment by TJS: Great point here. Amazon is dominating the industry Comment by TJS: Anthropomorphisms should not be utilized. An anthropomorphism is the attribution of human characteristics or behavior to a good, animal, or object.
TRANSPORTATION AND SECURITY
Transportation cost structures, modes, and distribution centers, inventory control systems, and inventory costs reduction strategies
Amazon initially launched a two-day delivery program for its customers to ensure that its customers had fast delivery of products but soon other competitors started catching on. Amazon hence had to make another adjustment in its freight services and now offers a two-hour delivery service to Amazon Prime customers. For product freight, Amazon has equally sub-contracted firms such as the United Parcel Service to transport its products to its customers. Amazon has been relying on third-party couriers to make their deliveries as they have a better-established delivery route and path that they can leverage for efficient delivery services (Leblanc, 2019). Comment by TJS: Yes. They set a new industry standard
However, due to the consideration of numerous factors involved in using third-party carriers for deliveries, Amazon has developed its privately-owned freight service. Amazon hence uses its privately-owned vehicles to carry products to its clients specifically for same-day deliveries. In recent times, Amazon has been developing cargo freight service in certain specific areas where the firm uses drones to carry items straight to their clients who are within a 10-mile radius from their warehouses. This has cut product deliveries to half an hour or less. Amazon is progressively incorporating newer technologies in its supply chain that systems can hence run without human supervision. This strategy has been articulated to be efficient so far as there are has been reduced inventory management costs over the last few years since the acquisition of Kiva Systems (Leblanc, 2.
Running head LOGIC MODELLOGIC MODEL 2Logic modelStu.docx
Running head: LOGIC MODEL
LOGIC MODEL
2
Logic model
Student’s name
University affiliation
Date
References
Blue-Howells, J., McGuire, J., & Nakashima, J. (2008). Co-location of health care services for homeless veterans: a case study of innovation in program implementation. Social work in health care, 47(3), 219-231.
Output
Integrating patient care
Communication and collaboration between workers hence resulting to communities of practicing clinicians
Attracting new patients to GLA
Funding a two-year pilot grant
Effective process for psychiatric screening for homeless patients
Outcomes
Homeless project were integrated
The issues of homeless veterans were addressed due to institutional barriers
There was creation of coalition and linking the project to legitimate VA-wide goals
Good sustained program maintenance, process evaluation and encouraging development of communities.
Activities
Building a coalition of decision makers
Introduction of a new integrated program
Inputs
The decision to implement
Initial implementation
Sustained maintenance
Termination or transformation
Running head: PROGRAM EVALUATION 1
PROGRAM EVALUATION 2
Program Evaluation
Institutional Affiliation
Insert the student’s name
Instructor’s name
Course
Date
Introduction
Evaluation of the program is usually done to in order to determine the quality of the program, how effective the program is and how the program is performing. This can help to know if the program is making a significant difference among the targeted people. It can also assist to know if the program is functioning or not. This paper therefore seeks to evaluate the program which is assisting the homeless people within the community.
The two program evaluation questions are: what is the reach of the program? And what has been the impact of the program on the homeless people? The answers to these questions would elicit both qualitative and quantitative results. Therefore, the program evaluation will require both quantitative and qualitative data collection plan. This is because the use of mixed-method approach is convenient since the results and findings would be reliable (Creswell, 2017). After identifying the evaluation program questions, the next step will be to come up with plan of evaluating a program. The plan should consist of methods of collecting data, evidences, the person responsible and the duration.
Program Evaluation Question
Evidence
Methods and sources of collecting data
Person in charge
Duration
1. What is the reach of the program?
Number of building materials distributed
Records of the program
Robert
One month
2. What has been the impact of the program on the homeless people?
Number of people resettled
Number of people not yet re.
Running head LITERATURE REVIEW1MINORITY BOYS SCHOOL DROPOUT A.docx
Running head: LITERATURE REVIEW 1
MINORITY BOYS SCHOOL DROPOUT AND CONTINUATION SCHOOL 2
Literature Review
Literature Review
It is expected that every student enrolled in high school works hard towards the completion of their high school diploma. However, research indicates there was a 5.4% drop out among the minority groups, in which 6.4% of the overall status dropout rate is that of the male youth. Among the Africans, Hispanics, and American Indian Natives, the dropout rates among the boys are 8%, 10%, and 11.6%, respectively (Musu-Gillette, De Brey, McFarland, Hussar, Sonnenberg, & Wilkinson-Flicker, 2017). These dropouts often join continuation schools later in life with the hope that they will get an equivalent of their high school diploma. The theoretical framework of this research is based on the phenomenological approach, in which the aim is to examine the occurrence of school dropout among minority boys and their performance after joining continuation school.
One of the theories that explain why minority boys drop out of school is the Critical Race Theory. The model argues that education opportunities are often affected by an individual’s race and racism (Colbert, 2017). Based on this theory, minority groups are often faced with issues such as poverty and racial discrimination in schools, which causes some of the male students to drop out of school. Racism victims in school feel inferior to the whites and sometimes feel like they do not deserve a quality education, and they end up falling behind in school.
Cultural production theory, on the other hand, explains why the dropouts choose to go back to school. The theory holds that the education system helps to level out the playing field so that people get equal opportunities to make their lives. The approach provides an essential perspective as to why minority boys dropouts join continuation schools and complete their learning process.
According to Bania, Lydersen, and Kvernmo (2016), non-completion of high school mostly results from different problems, most of which are health-related. In research in which the authors carried out among the youths in the Arctic, they found out that dropout rates were higher among males. Additionally, minority males often drop out due to mental issues. Based on the article, education affects an individual’s employment opportunities and income, as well as the quality of life, which explains why the dropouts choose to join continuation schools later in life.
Hernandez and Ortez (2019) undertake research in which they analyze the experiences of some Latinas who are enrolled in continuation school. Based on the writers’ claims, continuation schools have put in place strategies that enable the students to cope and realize that they have an opportunity to succeed just like any other individual. Additionally, due to the improvement in the prospects for quality education presented to the marginalized groups, the article indicates that there are .
Running head LIVING WITH CHRONIC ILLNESS1Living with Chroni.docx
Running head: LIVING WITH CHRONIC ILLNESS 1
Living with Chronic Illnesses 2
Living with chronic illnesses: How are those with a chronic illness treated by their families since their diagnosis?
Maura K. Little
University of West Florida
Abstract
This study aims to figure out what the relationship and meaning of the ways that a family treats a family member with a chronic mental or physical illness. The exploration of the way those with a chronic illness are treated since their diagnosis is important to understand the perceptions, behaviors, and communication that surrounds illness. Chronic mental illness will be analyzed against chronic physical illness to assess similarities and differences in family behaviors. Participants included individuals selected from local support groups based on their illness as well as family structure. An ethnographic study would be used to compare both the verbal and nonverbal relationship between the ill family member and the rest of the family.
Introduction
This study aimed to focus on both physical chronic illnesses and mental chronic illnesses and their effects on family communication, particularly surrounding the diagnosis of the illnesses.
Family has a large impact on the perceptions of illness. In recent times, the publicity around individuals with chronic illnesses, both mental and physical, has increased dramatically in the media. From the production of films about those with physical chronic illnesses to celebrity diagnosis of a mental illness, illness is something our society is beginning to talk about more frequently. However there are certain stigmas attached to these illnesses that make it harder for patients and their families to cope with their situation. Most often because of the portrayals of chronic illness that romanticize illnesses and do not necessarily show all of the effects of these illnesses on the patient or their family.
Both mental and physical chronic illnesses are much more complex than how they are portrayed in the media. These illnesses often produce copious amounts of side effects that bring a whole new level of challenges to the patient's struggle through their daily life and readjustment after diagnosis. One effect that is often not publicized as much as others is the relationships that exist between the patient and their family. These family relationships may change drastically with the diagnosis of and grappling with a chronic illness, changing how family members perceive one another, how they act, and even how they communicate. All of these things depend upon the nature of the family, and the illness and produce different changes. However, through all different types of families and illnesses, communication in situations like these is essential to understanding one another. According to Rosland (2009), several interviews and focus groups showed that family members lowered stress, and are central to patient success. In most instances, the family i.
Running Head LITERATURE REVIEW2LITERATURE REVIEW 2.docx
Running Head: LITERATURE REVIEW 2
LITERATURE REVIEW 2
Effect of Tobacco Use
Gideon Aryertey
Embry Riddle Aeronautical University
Introduction
Over decades, many individuals have been using tobacco without being aware of its harmful effects. For instance, in the U.S., the rate of cigarette smoking increased immensely in the early twentieth century. This was due to the invention of the cigarette rolling machine as well as an increase in the advertisement of tobacco products. As a result, cigarette smoking expanded regardless of the opposition of religious leaders or other members. Tobacco consumption reaches its peak especially between the ages of 20 to 40 in both females and males although statistically males consume more than females. Furthermore, the smoking rate amongst African-Americans (16.7%) are higher than the national average in comparison to Caucasians (16.6%). In fact, mixed race individuals and American Indian/Alaska Natives have higher smoking rates than African-Americans. As a result, this shows that there’s a big issue with the use of tobacco. Tobacco has led to many diseases such as lung cancer, diabetes, heart disease, stroke. It also leads to addiction. However, it is significant for one to overcome the addiction of tobacco use to improve their health status. Educating people about the harmful effect of tobacco consumption and making tobacco less affordable will correspond to a gradual decrease in its use.
Tobacco use has caused numerous deaths amongst individuals despite their socioeconomic backgrounds. For instance, approximately 30 percent of people who perish due to cancer in the United States; 80 percent of these deaths are caused by lung cancer. lung cancer is the main cause of cancer related deaths in the youth and adults. (Addicott, Sweitzer & McClernon, 2018). Lung cancer attacks both genders and the treatment process can be very complex. Consumers of tobacco are affected by this disease because it exterminates the cells responsible for fighting against the disease. Also, the use of tobacco affects the proper functioning of all the organs in the body. Other than lung cancer, tobacco consumption can also lead to mouth, esophagus, larynx, liver, kidney, bladder, cervix, pharynx, stomach, myeloid leukemia, pancreas and colon cancers (Ebbert, Elrashidi & Stead, 2015).
In fact, about 7300 nonsmokers die from lung disease every year according to the International Agency that is responsible for Research on Cancer (IARC) after being exposed to tobacco. Additionally, a 2009 survey that was conducted in China indicated that about 38 percent of smokers were aware that smoking contributes to attack of coronary heart disease while 27 percent were aware that it can lead to a stroke (Ambrose, et. al, 2017). However, individuals who smoke about five cigarettes a day showed signs of various diseases and damages to the blood vessels (Gilreath, et. al, 2016). In fact, blood vessels are thickened and then become narrow.
Running head LOGIC MODELLOGIC MODEL 4Situ.docx
Running head: LOGIC MODEL
LOGIC MODEL
4
Situation: due to language barrier, patients are unable to receive adequate healthcare
Inputs
Outputs
Outcomes – Impact
Activities
Participation
ShortMediumLong
-Funding
-Staff
-Technology
-Trainers
-Software
-Facilitators
-Computer devices
In order to measure the effectiveness of these inputs, a comprehensive program evaluation may be done through interviews, questionnaires etc
-Training of staff
-Use of technology
-Use of professional interpreter
-Use of multiple languages
-Use of visuals like graphs and pictures
-Interview patients and healthcare
- Assessing the language barrier
-Improving staff ability to communicate using different languages
-Developing ways that can be used in eradicating the issue of language barrier
-50% of healthcare providers trained within three months.
75% of patients reporting greater satisfaction in healthcare services
-70% increase in number of patient comeback.
-Training completed
-100% effective communication between healthcare providers and patients
-Improved patient satisfaction
-Increase number of community patients
-Improved quality of patient quality.
Project assumptions
There will be enough funding for the training and equipments.
Healthcare providers/staff will be open to participation
References
Chou, C. & Cooley, L. (2018). Communication Rx : transforming healthcare through relationship-centered communication. New York: McGraw-Hill Education.
Jacobs, E. & Diamond, L. (2017). Providing health care in the context of language barriers : international perspectives. Bristol, U.K. Blue Ridge Summit, PA: Multilingual Matters.
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- 1. Running head: Final Project Data Analysis 1 Final Project Data Analysis 2 Final Project Data Analysis: Luz Rodriguez Southern New Hampshire University Process and calculations In completing the research on the influence that gender (male/female) has over the length of the hospital stay. We can use several types of statistical tests in analysis a more accurate analysis of the research question. This involves a dot plot and a histogram. In responding to this question, we can place gender in one category but studying it under two separate samples, male and female and the effects of length of stay after a myocardial infarction. We can compute this by resolving quantitative data and the relationship between the two factors s dot plot and a histogram would be effective in achieving this analysis. Research question To what extent does gender influence length of hospital stay for MI patients? Response and predictor variables Response: Length of hospital stay (LOS) -Predictor: Gender (female and male)
- 2. Type of variable for predictor variable Predictor: gender (female or male) Type of diagram for analysis Dot plot Histogram Data analysis As shown the data tries to compare the differences between gender (male and Female) and the length of stay in hospitals with respect to each other. It’s clear that the length of hospital stay which is represented by 0 is shorter as compared to that of the female which is represented by 1. If there is a larger differences between the two genders, then there is a meaning which would reduce the standard deviation (Gerstman, 2015). gender n mean variance Std. dev Std. err. median range min max Q1 Q3 0 65 0 0 0 0
- 3. 0 0 0 0 0 0 1 35 1 0 0 0 1 0 1 1 1 1 Hypothesis test results: Difference Sample Diff. Std. Err. DF T-Stat P-value μ1 - μ2 6.49 0.59375453 198 10.930443 <0.0001
- 4. References Gerstman, B. B. (2015). Basic Biostatistics Statistics for Public Health (2nd ed.). Burlington, MA: Jones & Bartlett Learning. gender 1 0.0 10.0 20.0 30.0 40.0 50.0 60.0 30.0 4.0 0.0 0.0 0.0 0.0 1.0 gender 0 2.0 17.0 34.0 3.0 6.0 1.0 3.0 gender 1 30.0 4.0 0.0 0.0 0.0 0.0 1.0 gender 0 0.0 2.5 5.0 7.5 10.0 12.5 15.0 2.0 17.0 34.0 3.0 6.0 1.0 3.0 Course ProjectCriteriaPointsDescribes the patient that is the subject of the project including diagnoses, medications, and history OR describes the community, its strengths and problems and the mental health issue that will be the subject of the paper.4Includes any substance abuse or violence issues for the patient or community 2Discusses attempted interventions, what has been successful and what has not.4Describes own personal thoughts about the patient's or community's mental health
- 5. issues. 4Describes any cognitive concerns and possible interventions.2Writes a nursing care plan including three priority nursing diagnoses with r/t and AEB factors.4Includes outcomes in Nursing Outcomes Classification language and interventions in Nursing Intervention Classification language with a plan for evaluation.4Identifies mental health resources that can be used with the patient or community. Includes an educational tool.4Supports answers using academic resources, with citations in APA format.2Total30 1 IHP 525 Milestone Three Table For this milestone, in order to explore your health question you are investigating, you need to plan what descriptive statistics and statistical test you will need to run, as well as what graph you will need to create. Step 1: Complete the table below in which you will propose the calculations and graph(s) you will need to perform to answer the health question you are investigating. Question: Answer: What is your health (research) question? To what extent does gender influence length of hospital stay for MI patients? What is the corresponding null and alternative hypotheses? Null hypothesis: gender does not influence the length of hospital stay for MI patients.
- 6. Alternative hypothesis: gender does influence the length of hospital stay for MI patients List the descriptive statistics you will compute, using which variable(s), to help answer your health question. Variables are male and female which would be used in determining variance. The graph would depict instance of the MI with respect to both male and female What is the name of the statistical test that you will use to test your hypothesis and answer your health question? Summary stats chart Dot-plot What is the formula for your chosen statistical test? The summary is used as there is no specified formulae that is used Why is the statistical test you chose appropriate to answer your health question? Be sure to be clear on how the two variables you described in Milestone Two are used to complete this test. The two variables male and female are used in figuring the relationship between the length of hospital stays and gender for the different genders. As much as this does not take into account statistical calculations, this calculations can also be used in the final conclusion. The used test tries to figure out both the variance and summary. The summary and graph used show age length of hospital stay depending on the gender. Which graph(s) (histogram, stem and leaf, boxplot, bar graph, scatterplot) will you use to visualize the answer to your health question? Be specific and include which variables will be used and if the graph will be created for different subgroups of subjects. A dot-plot was used in showing a visual reference. A bar graph would also be created to support this information gender would be on the x axis as the dots increases from left to right on the males summary and this statistics varies further when it comes to the women summary. Step 2: Provide a 1-2 paragraph explanation below as to why
- 7. you chose the calculations outlined in the table above to explore your health question. Describe what statistics you will compute in order to answer your chosen health (research) question. Be sure to discuss any graphs that you will compute and what information they will provide to help you answer your health question. In examining the health question and the data that is being computed, it’s evident that this question puts more emphasis on the progressive relationship other than the calculation. To my view I decided that I would determine the instances of MI with relation to the different gender and the length of hospital stays. The health question does not give the relation to each other but rather giving the relationship between gender and the length of hospital patients with MI. with this information, you may determine the statistical calculations which may help in interpreting the instances of MI as per the different gender with their respective percentages. This would be more helpful in supporting the visual graphs which may not have been availed. In disapproving the null hypothesis, the statistics was taken computing the different gender (male and female) (Sadhukhan et al. 2019). This statistical data proved that gender is a variable when it comes to the hospital patient’s diagnosed with MI. the dot plot on the other hand showed increased dots among the female. References Sadhukhan, D., Dhar, S., Pal, S., & Mitra, M. (2019). Automated Screening of Myocardial Infarction based on Statistical Analysis of Photoplethysmographic data. IEEE Transactions on Instrumentation and Measurement. Running head: FINAL PROJECT PART II 1 FINAL PROJECT PART II 7
- 8. Final project part II: Luz Rodriguez Southern New Hampshire The statistics shows that over one third of American adults (36%) are obese and more than two thirds (69%) of the remaining population is overweight. The paper tries to relate the relationship between the hospital stay of the patients as associated with the different BMI of the different patients. This tries to depict the time duration that is associated with the hospital stays among the patients. The BMI has a direct impact to the length of hospital stay. Taking the WHAS100 data into consideration, the statistics shows the different factors, which are associated with the different trends and the survival rates with respect to the hospital admission for the acute myocardial infarction. This data was taken from all patients that were admitted for MI in the hospital for the time duration stated (Gerstman et al., 2015). The collected data was put under a longitudinal model with 9 different variables within 100 different observations. The variables that were put under observation are those that lies between the focus in LOS and the BMI. BMI is the body mass index which be calculated by taking observing the measure and dividing the weights in kilograms and dividing it by the respective heights in meters squared. A longitudinal model was used in generalizing the estimates of the equations and also was used in bringing the analysis and relationship between the BMI and the hospital stay (Hosmer et al. 2016).
- 9. Summary statistics for los: Group by: bmi BMI n Mean Variance Std. dev. Std. err. Median Range min Max Q1 Q3 10- 15 1 8 8 0 8 8 8 8 15- 20 6 8 14 3.7416574 1.5275252 7.5 11 3 14
- 11. 4 7 35 to 40 6 4.6666667 3.8666667 1.9663842 0.80277297 4 5 3 8 3 6 On the other hand, the t-test showed two sample T hypothesis test: Hypothesis test results: Difference Sample Diff. Std. Err. DF T-Stat P-value μ1 - μ2 6.49 0.59375453 198 10.930443 <0.0001 The histogram helps in identifying the gender and the length of stay at the institution. This shows the difference in the groups taking the length of stay and gender as the variables. This shows that women have longer stays in the hospitals. From this
- 12. analysis, its that the number of women overstaying in the hospitals is more than the number of men who over stay in the hospital (Akinyemiju, 2016, July 18). References Gerstman, Burt B. (2015). Basic Biostatistics Statistics for Public Health Practice. Jones & Bartlett Learning. Burlington, MA. Hosmer, D. W., Lemeshow, S., & May, S. (2016). Applied survival analysis: Regression modeling of time to event data (2nd ed.). New York, NY: John Wiley and Sons Inc. Akinyemiju, T.-R. N. (2016, July 18). Association between body mass index and in-hospital outcomes. Medicine. Baltimore, Md.: Wolters Kluwer. IHP 525 Milestone Two Table Information on data set Which variables are you investigating? Length of hospital stay based on gender What is the type of each variable?
- 13. Length of stay is quantitative Gender is category List the descriptive stats you will run on the data. Distribution, Mean, Medium, Mode, Minimum, Maximum, & Standard Deviation What does each calculation tell you about the data? Distribution describes the shape / how the data trends when graphed Mean = the average Mode = the value that appears the most Median = The midpoint of the data Minimum = The lowest value observed Maximum = The highest value observed Standard Deviation = the amount of variation present among the data values A. Assess the collected data. Use this section to layout the source, parameters, and any limitations of your data. Specifically, you should: 1. Describe the key features of your data set. Be sure to assess how these features affect your analysis. Summary statistics for los (Length of stay): Group by: gender gender n Mean Median Mode Min Max Std. dev. 0 = Male 65 6.3
- 14. 5 5 1 17 3.3406011 1 = Female 35 7.8 6 4 3 56 8.9172668 This data set helps in analyzing the observation related from the length of stay in the hospitals and among this patients, the data set shows that 65 are male and the remaining are female. Analyzing the male, their shortest time period was a single day while their longest duration way 17 days. However on the other hand, females took a shorter period of 3 days while the longest time period was 56 days. This shows that females take a longer stay as compared to men with MI. Analyzing the other parameters, the mean, mode and the median of both male and female that stays in the hospitals and the analysis is as shown in the table above. This would probably give a skewed graph to the right since the mean>median. The standard deviation also shows that the length of stay are closer to the expected average while the case is not the same for the females as in this case it spread out and contains outliers (Lisitsyna et al., 2019). 2. Analyze the limitations of the data set you were provided and how those limitations might affect your findings. Justify your response. In this case, there are several limitation and this also affects the results differently, this include the fact that the sample size is small, there is no stated reasons why females take longer stays.
- 15. For this case it’s likely to skew the data. Taking a large sample size may bring up the idea and reasons behind longer stays and if age is a factor in this case. This also does not give a clear picture since the sample size of the male and the female was not the same and the fact that some information regarding the patients is not disclosed which makes it impossible to know if there is any other reason associated with the longer stay and or if environmental condition in the hospital is a factor. All this limitations are likely to impact the results as maybe gender maybe one of the factors that needs to be considered when analyzing hospital stays of MI patients (Sall et al., 2017). References Lisitsyna, L. S., & Oreshin, S. A. (2019). Sampling and Analyzing Statistical Data to Predict the Performance of MOOC. In Smart Education and e-Learning 2019 (pp. 77-85). Springer, Singapore. Sall, J., Stephens, M. L., Lehman, A., & Loring, S. (2017). JMP start statistics: a guide to statistics and data analysis using JMP. Sas Institute. los 0.0 5.0 10.0 2.0 17.0 33.0 3.0 6.0 1.0 los 0-10 10 to 20 30-40 40-50 50-60 30.0 4.0 0.0 0.0 2.0