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Epidemiology slides by Kuya Kabalo.pptxKUYA KABALO
this presentation gives an overview of epidemiology , concepts ,definition , types of epidemiological studies , uses of epidemiology , scope and application of epidemiology
advantages and disadvantages of each epidemiological study
aims of epidemiology is also covered in this presentation
Clinical Research Informatics (CRI) Year-in-Review 2014Peter Embi
Peter Embi's review of notable publications and events in the field of Clinical Research Informatics (CRI) that took place in 2013+. This was presented as the closing keynote presentation of the 2014 AMIA CRI Summit in San Francisco, CA on April 11, 2014.
Case reports and studies may be defined as the non-experimental description of an individual or a few of cases in terms of new or unusual presentation of the diseases, an unexpected disease course or pathophysiology, and new effects (either beneficial or detrimental) of existing medications or procedures. Although they suffer from the non-experimental nature and other potential bias and errors, case reports and studies have played and will continue to play an important part in the advancement of medicine. They often serve as "primers" leading to discoveries of new diseases/disease pathophysiology as well as development of new preventive and therapeutic measures. Case reports and case studies are also employed as a platform for the training of medical students and/or resident doctors in scientific writing and critical thinking. Although the significance of case reports and studies in medicine has being recognized since the early stage of development of clinical medicine, their value needs to be appreciated in the context of modern clinical research design and the hierarchy of strength of evidence for guiding patient care. This paper discusses case reports and studies within the big picture of clinical research, research design, and evidence-based practice.
Running head CRITIQUE QUANTITATIVE, QUALITATIVE, OR MIXED METHODS.docxtodd271
Running head: CRITIQUE QUANTITATIVE, QUALITATIVE, OR MIXED METHODS DESIGN
5
CRITIQUE OF QUANTITATIVE, QUALITATIVE, OR MIXED METHODS DESIGN
Critiquing Quantitative, Qualitative, or Mixed Methods Studies
Adenike George
Walden University
NURS 6052: Essentials of Evidence-Based Practice
April 11, 2019
Critique of Quantitative, Qualitative, or Mixed Method Design
Both quantitative and qualitative methods play a pivotal role in nursing research. Qualitative research helps nurses and other healthcare workers to understand the experiences of the patients on health and illness. Quantitative data allows researchers to use an accurate approach in data collection and analysis. When using quantitative techniques, data can be analyzed using either descriptive statistics or inferential statistics which allows the researchers to derive important facts like demographics, preference trends, and differences between the groups. The paper comprehensively critiques quantitative and quantitative techniques of research. Furthermore, the author will also give reasons as to why qualitative methods should be regarded as scientific.
The overall value of quantitative and Qualitative Research
Quantitative studies allow the researchers to present data in terms of numbers. Since data is in numeric form, researchers can apply statistical techniques in analyzing it. These include descriptive statistics like mean, mode, median, standard deviation and inferential statistics such as ANOVA, t-tests, correlation and regression analysis. Statistical analysis allows us to derive important facts from data such as preference trends, demographics, and differences between groups. For instance, by conducting a mixed methods study to determine the feeding experiences of infants among teen mothers in North Carolina, Tucker and colleagues were able to compare breastfeeding trends among various population groups. The multiple groups compared were likely to initiate breastfeeding as follows: Hispanic teens 89%, Black American teens 41%, and White teens 52% (Tucker et al., 2011).
The high strength of quantitative analysis lies in providing data that is descriptive. The descriptive statistics helps us to capture a snapshot of the population. When analyzed appropriate, the descriptive data enables us to make general conclusions concerning the population. For instance, through detailed data analysis, Tucker and co-researchers were able to observe that there were a large number of adolescents who ceased breastfeeding within the first month drawing the need for nurses to conduct individualized follow-ups the early days after hospital discharge. These follow-ups would significantly assist in addressing the conventional technical problems and offer support in managing back to school transition (Tucker et al., 2011).
Qualitative research allows researchers to determine the client’s perspective on healthcare. It enables researchers to observe certain behaviors and experiences amo.
Data collection is important for:
1. Diagnosis of community health problems and assessment of community needs.
2. Helps in the comparison of health status and disease status in different countries and in one country over the years.
3. Evaluation of health services and health programs.
Effective strategies to monitor clinical risks using biostatistics - Pubrica.pdfPubrica
In clinical science, biostatistics services are essential for data collection, analysis, presentation, and interpretation. Epidemiology, clinical trials, population genetics, systems biology, and other disciplines all benefit from it. It aids in the evaluation of a drug's effectiveness and safety in clinical trials.
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COLLEGE BUS MANAGEMENT SYSTEM PROJECT REPORT.pdfKamal Acharya
The College Bus Management system is completely developed by Visual Basic .NET Version. The application is connect with most secured database language MS SQL Server. The application is develop by using best combination of front-end and back-end languages. The application is totally design like flat user interface. This flat user interface is more attractive user interface in 2017. The application is gives more important to the system functionality. The application is to manage the student’s details, driver’s details, bus details, bus route details, bus fees details and more. The application has only one unit for admin. The admin can manage the entire application. The admin can login into the application by using username and password of the admin. The application is develop for big and small colleges. It is more user friendly for non-computer person. Even they can easily learn how to manage the application within hours. The application is more secure by the admin. The system will give an effective output for the VB.Net and SQL Server given as input to the system. The compiled java program given as input to the system, after scanning the program will generate different reports. The application generates the report for users. The admin can view and download the report of the data. The application deliver the excel format reports. Because, excel formatted reports is very easy to understand the income and expense of the college bus. This application is mainly develop for windows operating system users. In 2017, 73% of people enterprises are using windows operating system. So the application will easily install for all the windows operating system users. The application-developed size is very low. The application consumes very low space in disk. Therefore, the user can allocate very minimum local disk space for this application.
Automobile Management System Project Report.pdfKamal Acharya
The proposed project is developed to manage the automobile in the automobile dealer company. The main module in this project is login, automobile management, customer management, sales, complaints and reports. The first module is the login. The automobile showroom owner should login to the project for usage. The username and password are verified and if it is correct, next form opens. If the username and password are not correct, it shows the error message.
When a customer search for a automobile, if the automobile is available, they will be taken to a page that shows the details of the automobile including automobile name, automobile ID, quantity, price etc. “Automobile Management System” is useful for maintaining automobiles, customers effectively and hence helps for establishing good relation between customer and automobile organization. It contains various customized modules for effectively maintaining automobiles and stock information accurately and safely.
When the automobile is sold to the customer, stock will be reduced automatically. When a new purchase is made, stock will be increased automatically. While selecting automobiles for sale, the proposed software will automatically check for total number of available stock of that particular item, if the total stock of that particular item is less than 5, software will notify the user to purchase the particular item.
Also when the user tries to sale items which are not in stock, the system will prompt the user that the stock is not enough. Customers of this system can search for a automobile; can purchase a automobile easily by selecting fast. On the other hand the stock of automobiles can be maintained perfectly by the automobile shop manager overcoming the drawbacks of existing system.
Industrial Training at Shahjalal Fertilizer Company Limited (SFCL)MdTanvirMahtab2
This presentation is about the working procedure of Shahjalal Fertilizer Company Limited (SFCL). A Govt. owned Company of Bangladesh Chemical Industries Corporation under Ministry of Industries.
Saudi Arabia stands as a titan in the global energy landscape, renowned for its abundant oil and gas resources. It's the largest exporter of petroleum and holds some of the world's most significant reserves. Let's delve into the top 10 oil and gas projects shaping Saudi Arabia's energy future in 2024.
Explore the innovative world of trenchless pipe repair with our comprehensive guide, "The Benefits and Techniques of Trenchless Pipe Repair." This document delves into the modern methods of repairing underground pipes without the need for extensive excavation, highlighting the numerous advantages and the latest techniques used in the industry.
Learn about the cost savings, reduced environmental impact, and minimal disruption associated with trenchless technology. Discover detailed explanations of popular techniques such as pipe bursting, cured-in-place pipe (CIPP) lining, and directional drilling. Understand how these methods can be applied to various types of infrastructure, from residential plumbing to large-scale municipal systems.
Ideal for homeowners, contractors, engineers, and anyone interested in modern plumbing solutions, this guide provides valuable insights into why trenchless pipe repair is becoming the preferred choice for pipe rehabilitation. Stay informed about the latest advancements and best practices in the field.
Cosmetic shop management system project report.pdfKamal Acharya
Buying new cosmetic products is difficult. It can even be scary for those who have sensitive skin and are prone to skin trouble. The information needed to alleviate this problem is on the back of each product, but it's thought to interpret those ingredient lists unless you have a background in chemistry.
Instead of buying and hoping for the best, we can use data science to help us predict which products may be good fits for us. It includes various function programs to do the above mentioned tasks.
Data file handling has been effectively used in the program.
The automated cosmetic shop management system should deal with the automation of general workflow and administration process of the shop. The main processes of the system focus on customer's request where the system is able to search the most appropriate products and deliver it to the customers. It should help the employees to quickly identify the list of cosmetic product that have reached the minimum quantity and also keep a track of expired date for each cosmetic product. It should help the employees to find the rack number in which the product is placed.It is also Faster and more efficient way.
Final project report on grocery store management system..pdfKamal Acharya
In today’s fast-changing business environment, it’s extremely important to be able to respond to client needs in the most effective and timely manner. If your customers wish to see your business online and have instant access to your products or services.
Online Grocery Store is an e-commerce website, which retails various grocery products. This project allows viewing various products available enables registered users to purchase desired products instantly using Paytm, UPI payment processor (Instant Pay) and also can place order by using Cash on Delivery (Pay Later) option. This project provides an easy access to Administrators and Managers to view orders placed using Pay Later and Instant Pay options.
In order to develop an e-commerce website, a number of Technologies must be studied and understood. These include multi-tiered architecture, server and client-side scripting techniques, implementation technologies, programming language (such as PHP, HTML, CSS, JavaScript) and MySQL relational databases. This is a project with the objective to develop a basic website where a consumer is provided with a shopping cart website and also to know about the technologies used to develop such a website.
This document will discuss each of the underlying technologies to create and implement an e- commerce website.
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Overview of the fundamental roles in Hydropower generation and the components involved in wider Electrical Engineering.
This paper presents the design and construction of hydroelectric dams from the hydrologist’s survey of the valley before construction, all aspects and involved disciplines, fluid dynamics, structural engineering, generation and mains frequency regulation to the very transmission of power through the network in the United Kingdom.
Author: Robbie Edward Sayers
Collaborators and co editors: Charlie Sims and Connor Healey.
(C) 2024 Robbie E. Sayers
TECHNICAL TRAINING MANUAL GENERAL FAMILIARIZATION COURSEDuvanRamosGarzon1
AIRCRAFT GENERAL
The Single Aisle is the most advanced family aircraft in service today, with fly-by-wire flight controls.
The A318, A319, A320 and A321 are twin-engine subsonic medium range aircraft.
The family offers a choice of engines
2. This session covers:
Background and need to know
Biostatistics
Origin and development of Biostatistics
Definition of Statistics and Biostatistics
Types of data
Graphical representation of a data
Frequency distribution of a data
3. “Statistics is the science which deals
with collection, classification and
tabulation of numerical facts as the
basis for explanation, description
and comparison of phenomenon”.
------ Lovitt
4. “BIOSTATISICS”
(1) Statistics arising out of biological
sciences, particularly from the fields of
Medicine and public health.
(2) The methods used in dealing with
statistics in the fields of medicine, biology
and public health for planning,
conducting and analyzing data which
arise in investigations of these branches.
5. Origin and development of
statistics in Medical Research
In 1929 a huge paper on application of
statistics was published in Physiology
Journal by Dunn.
In 1937, 15 articles on statistical methods
by Austin Bradford Hill, were published in
book form.
In 1948, a RCT of Streptomycin for
pulmonary tb., was published in which
Bradford Hill has a key influence.
Then the growth of Statistics in Medicine
from 1952 was a 8-fold increase by 1982.
8. Sources of Medical
Uncertainties
1. Intrinsic due to biological,
environmental and sampling factors
2. Natural variation among methods,
observers, instruments etc.
3. Errors in measurement or assessment
or errors in knowledge
4. Incomplete knowledge
9. Intrinsic variation as a
source of medical
uncertainties
Biological due to age, gender, heredity, parity, height,
weight, etc. Also due to variation in anatomical,
physiological and biochemical parameters
Environmental due to nutrition, smoking, pollution,
facilities of water and sanitation, road traffic, legislation,
stress and strains etc.,
Sampling fluctuations because the entire world cannot
be studied and at least future cases can never be
included
Chance variation due to unknown or complex to
comprehend factors
10. Natural variation despite
best care as a source of
uncertainties
In assessment of any medical parameter
Due to partial compliance by the patients
Due to incomplete information in
conditions such as the patient in coma
11. Medical Errors that cause
Uncertainties
Carelessness of the providers such as physicians,
surgeons, nursing staff, radiographers and
pharmacists.
Errors in methods such as in using incorrect quantity or
quality of chemicals and reagents, misinterpretation of
ECG, using inappropriate diagnostic tools,
misrecording of information etc.
Instrument error due to use of non-standardized or
faulty instrument and improper use of a right
instrument.
Not collecting full information
Inconsistent response by the patients or other subjects
under evaluation
12. Incomplete knowledge as a
source of Uncertainties
Diagnostic, therapeutic and prognostic
uncertainties due to lack of knowledge
Predictive uncertainties such as in
survival duration of a patient of cancer
Other uncertainties such as how to
measure positive health
14. Reasons to know about
biostatistics:
Medicine is becoming increasingly
quantitative.
The planning, conduct and interpretation
of much of medical research are
becoming increasingly reliant on the
statistical methodology.
Statistics pervades the medical literature.
15. CLINICAL MEDICINE
Documentation of medical history of
diseases.
Planning and conduct of clinical studies.
Evaluating the merits of different
procedures.
In providing methods for definition of
“normal” and “abnormal”.
16. Role of Biostatistics in
patient care
In increasing awareness regarding diagnostic,
therapeutic and prognostic uncertainties and
providing rules of probability to delineate those
uncertainties
In providing methods to integrate chances with value
judgments that could be most beneficial to patient
In providing methods such as sensitivity-specificity
and predictivities that help choose valid tests for
patient assessment
In providing tools such as scoring system and expert
system that can help reduce epistemic uncertainties
17. PREVENTIVE MEDICINE
To provide the magnitude of any health
problem in the community.
To find out the basic factors underlying
the ill-health.
To evaluate the health programs which
was introduced in the community
(success/failure).
To introduce and promote health
legislation.
18. Role of Biostatics in Health
Planning and Evaluation
In carrying out a valid and reliable health
situation analysis, including in proper
summarization and interpretation of data.
In proper evaluation of the achievements
and failures of a health programme
19. Role of Biostatistics in
Medical Research
In developing a research design that can
minimize the impact of uncertainties
In assessing reliability and validity of
tools and instruments to collect the
infromation
In proper analysis of data
20. Example: Evaluation of Penicillin (treatment
A) vs Penicillin & Chloramphenicol
(treatment B) for treating bacterial
pneumonia in children< 2 yrs.
What is the sample size needed to demonstrate the significance
of one group against other ?
Is treatment A is better than treatment B or vice versa ?
If so, how much better ?
What is the normal variation in clinical measurement ? (mild,
moderate & severe) ?
How reliable and valid is the measurement ? (clinical &
radiological) ?
What is the magnitude and effect of laboratory and technical
error ?
How does one interpret abnormal values ?
21. WHAT DOES STAISTICS
COVER ?
Planning
Design
Execution (Data collection)
Data Processing
Data analysis
Presentation
Interpretation
Publication
22. BASIC CONCEPTS
Data : Set of values of one or more variables recorded
on one or more observational units
Categories of data
1. Primary data: observation, questionnaire, record form,
interviews, survey,
2. Secondary data: census, medical record,registry
Sources of data 1. Routinely kept records
2. Surveys (census)
3. Experiments
4. External source
23. TYPES OF DATA
QUALITATIVE DATA
DISCRETE QUANTITATIVE
CONTINOUS QUANTITATIVE
26. QUANTITATIVE (DISCRETE)
Example: The no. of family members
The no. of heart beats
The no. of admissions in a day
QUANTITATIVE (CONTINOUS)
Example: Height, Weight, Age, BP, Serum
Cholesterol and BMI
27. Discrete data -- Gaps between possible values
Continuous data -- Theoretically,
no gaps between possible values
Number of Children
Hb
29. hospital length of stay Number Percent
1 – 3 days 5891 43.3
4 – 7 days 3489 25.6
2 weeks 2449 18.0
3 weeks 813 6.0
1 month 417 3.1
More than 1 month 545 4.0
Total 14604 100.0
Mean = 7.85 SE = 0.10
Table 1 Distribution of blunt injured patients
according to hospital length of stay
31. Scale of measurement
Quantitative variable:
A numerical variable: discrete; continuous
Interval scale :
Data is placed in meaningful intervals and order. The unit of
measurement are arbitrary.
- Temperature (37º C -- 36º C; 38º C-- 37º C are equal) and
No implication of ratio (30º C is not twice as hot as 15º C)
32. Ratio scale:
Data is presented in frequency distribution in
logical order. A meaningful ratio exists.
- Age, weight, height, pulse rate
- pulse rate of 120 is twice as fast as 60
- person with weight of 80kg is twice as heavy
as the one with weight of 40 kg.
33. Scales of Measure
Nominal – qualitative classification of
equal value: gender, race, color, city
Ordinal - qualitative classification
which can be rank ordered:
socioeconomic status of families
Interval - Numerical or quantitative
data: can be rank ordered and sizes
compared : temperature
Ratio - Quantitative interval data along
with ratio: time, age.
34. CLINIMETRICS
A science called clinimetrics in which
qualities are converted to meaningful
quantities by using the scoring system.
Examples: (1) Apgar score based on
appearance, pulse, grimace, activity and
respiration is used for neonatal prognosis.
(2) Smoking Index: no. of cigarettes, duration,
filter or not, whether pipe, cigar etc.,
(3) APACHE( Acute Physiology and Chronic
Health Evaluation) score: to quantify the
severity of condition of a patient
39. Frequency Distributions
data distribution – pattern of
variability.
the center of a distribution
the ranges
the shapes
simple frequency distributions
grouped frequency distributions
midpoint
40. Patien
t No
Hb
(g/dl)
Patien
t No
Hb
(g/dl)
Patien
t No
Hb
(g/dl)
1 12.0 11 11.2 21 14.9
2 11.9 12 13.6 22 12.2
3 11.5 13 10.8 23 12.2
4 14.2 14 12.3 24 11.4
5 12.3 15 12.3 25 10.7
6 13.0 16 15.7 26 12.5
7 10.5 17 12.6 27 11.8
8 12.8 18 9.1 28 15.1
9 13.2 19 12.9 29 13.4
10 11.2 20 14.6 30 13.1
Tabulate the hemoglobin values of 30 adult
male patients listed below
41. Steps for making a
table
Step1 Find Minimum (9.1) & Maximum (15.7)
Step2 Calculate difference 15.7 – 9.1 = 6.6
Step3 Decide the number and width of
the classes (7 c.l) 9.0 -9.9, 10.0-10.9,----
Step4 Prepare dummy table –
Hb (g/dl), Tally mark, No. patients
43. Hb (g/dl) No. of
patients
9.0 – 9.9
10.0 – 10.9
11.0 – 11.9
12.0 – 12.9
13.0 – 13.9
14.0 – 14.9
15.0 – 15.9
1
3
6
10
5
3
2
Total 30
Table Frequency distribution of 30 adult male
patients by Hb
44. Table Frequency distribution of adult patients by
Hb and gender:
Hb
(g/dl)
Gender Total
Male Female
<9.0
9.0 – 9.9
10.0 – 10.9
11.0 – 11.9
12.0 – 12.9
13.0 – 13.9
14.0 – 14.9
15.0 – 15.9
0
1
3
6
10
5
3
2
2
3
5
8
6
4
2
0
2
4
8
14
16
9
5
2
Total 30 30 60
45. Elements of a Table
Ideal table should have Number
Title
Column headings
Foot-notes
Number – Table number for identification in a report
Title,place - Describe the body of the table, variables,
Time period (What, how classified, where and when)
Column - Variable name, No. , Percentages (%), etc.,
Heading
Foot-note(s) - to describe some column/row headings,
special cells, source, etc.,
46. Death rate (/1000 per annum)
No. of divisions
7.0-7.9 4 (3.3)
8.0 - 8.9 13 (10.8)
9.0 - 9.9 20 (16.7)
10.0 - 10.9 27 (22.5)
11.0 - 11.9 18 (15.0)
12.0 - 12.9 11 (0.2)
13.0 - 13.9 11 (9.2)
14.0 - 14.9 6 (5.0)
15.0 - 15.9 2 (1.7)
16.0 - 16.9 4 (3.3)
17.0 - 18.9 3 (2.5)
19.0 + 1 (0.8)
Total 120 (100.0)
Table II. Distribution of 120 (Madras) Corporation divisions
according to annual death rate based on registered deaths in
1975 and 1976
Figures in parentheses indicate percentages
47. DIAGRAMS/GRAPHS
Discrete data
--- Bar charts (one or two groups)
Continuous data
--- Histogram
--- Frequency polygon (curve)
--- Stem-and –leaf plot
--- Box-and-whisker plot
54. Descriptive statistics report:
Boxplot
- minimum score
- maximum score
- lower quartile
- upper quartile
- median
- mean
- the skew of the distribution:
positive skew: mean > median & high-score whisker is longer
negative skew: mean < median & low-score whisker is longer
55. 10%
20%
70%
Mild
Moderate
Severe
The prevalence of different degree of
Hypertension
in the population
Pie Chart
•Circular diagram – total -100%
•Divided into segments each
representing a category
•Decide adjacent category
•The amount for each category is
proportional to slice of the pie
56. Bar Graphs
9
12
20
16
12
8
20
0
5
10
15
20
25
Smo Alc Chol DM HTN No
Exer
F-H
Riskfactor
Number
The distribution of risk factor among cases with
Cardio vascular Diseases
Heights of the bar indicates
frequency
Frequency in the Y axis
and categories of variable
in the X axis
The bars should be of equal
width and no touching the
other bars
57. HIV cases enrolment in
USA by gender
0
2
4
6
8
10
12
1986 1987 1988 1989 1990 1991 1992
Year
Enrollment
(hundred)
Men
Women
Bar chart
58. HIV cases Enrollment
in USA by gender
0
2
4
6
8
10
12
14
16
18
1986 1987 1988 1989 1990 1991 1992
Year
Enrollment
(Thousands)
Women
Men
Stocked bar chart
59. Graphic Presentation of
Data
the histogram
(quantitative data)
the bar graph
(qualitative data)
the frequency polygon
(quantitative data)
60.
61. General rules for designing
graphs
A graph should have a self-explanatory
legend
A graph should help reader to understand
data
Axis labeled, units of measurement
indicated
Scales important. Start with zero (otherwise
// break)
Avoid graphs with three-dimensional
impression, it may be misleading (reader
visualize less easily
63. Origin and development of
statistics in Medical Research
In 1929 a huge paper on application of
statistics was published in Physiology
Journal by Dunn.
In 1937, 15 articles on statistical methods
by Austin Bradford Hill, were published in
book form.
In 1948, a RCT of Streptomycin for
pulmonary tb., was published in which
Bradford Hill has a key influence.
Then the growth of Statistics in Medicine
from 1952 was a 8-fold increase by 1982.