The document describes the Newcastle-Ottawa Scale (NOS) for assessing the quality of nonrandomized studies in meta-analyses. It outlines the development of the NOS, including item selection from existing quality assessment forms and review by experts. It then provides the criteria for assessing cohort and case-control studies using the NOS, including sections on selection, comparability, and outcome/exposure. Maximum stars can be awarded in each section. Examples are given of how to apply the NOS to assess the quality of specific cohort and case-control studies. The NOS allows for the quality of nonrandomized studies to be incorporated into meta-analyses.
The document discusses distinguishing between good and poor scientific publications. It is authored by Abdulmohsen Al-Aqeil, an associate professor in the Department of Clinical Pharmacy at the College of Pharmacy, King Saud University. He thanks the audience.
The document discusses a lecture titled "The difference between good and poor scientific research publication" given at the Research Center for Medical and Health Studies at King Saud University. It provides contact information for the lecturer, Dr. Abdulmohsen Al-Aqeil, an associate professor in the Department of Clinical Pharmacy at the College of Pharmacy. The document announces voting for the lecture using an online platform and thanks the audience.
STROBE-IS2012.ppt check list presentationsujitha12341
This document provides an overview and summary of the STROBE Statement, which is guidance on how to report observational studies. It describes the main elements of the STROBE checklist, which contains 22 items addressing different aspects of observational study reporting such as the title, abstract, introduction, methods, results, and discussion sections. The goal of STROBE is to improve transparency in observational study reporting. It focuses on cohort, case-control, and cross-sectional study designs. Several extensions of STROBE have also been developed for specific study types such as genetic association studies.
Narrative review | Systematic review | Data extractionPubrica
When conducting a systematic review of prospective cohort studies, it’s crucial to extract relevant data from the included studies in a consistent and structured manner. Here are some variables to consider when creating a data extraction form for your systematic review.
Visit us @ https://pubrica.com/services/medical-data-collection/
This document discusses bioequivalence studies. It defines bioequivalence as when two drug products reach systemic circulation to the same relative extent, with their plasma concentration-time profiles being identical without statistically significant differences. It describes the analytical methods, pharmacokinetic evaluation, and statistical evaluation used in bioequivalence studies. It also discusses study designs such as parallel designs, crossover designs, and fasting versus fed conditions that can be used in bioequivalence studies.
Narrative review | Prisma systematic review | Medical writingPubrica
At Pubrica, we collect data from a wide range of sources and perform semantic annotation based on the research questions that you wanted to solve. Pubrica has the vast majority of the data in doctor’s notes; electronic medical records, prescriptions, and similar information are available. Although therein lies the golden possibility of big data in medical care, it’s challenging to yield valuable insights due to complex, unstructured, longitudinal, and voluminous data.
Visit us @ https://pubrica.com/academy/systematic-review/variables-used-in-data-extraction-for-prospective-cohort-studies-in-a-systematic-review/
Research Design for health care studentsCharu Parthe
This document discusses research design and methodology. It begins by defining research and outlining the key components of research design, including defining the problem, developing hypotheses, collecting and analyzing data, and formulating conclusions. It then describes different types of research designs, including experimental, non-experimental, analytical, and descriptive studies. Specific methodologies like randomized controlled trials, cohort studies, case-control studies, and cross-sectional studies are explained in detail. Key aspects of research methodology like biases, confounding variables, and validity and reliability are also covered.
The document discusses distinguishing between good and poor scientific publications. It is authored by Abdulmohsen Al-Aqeil, an associate professor in the Department of Clinical Pharmacy at the College of Pharmacy, King Saud University. He thanks the audience.
The document discusses a lecture titled "The difference between good and poor scientific research publication" given at the Research Center for Medical and Health Studies at King Saud University. It provides contact information for the lecturer, Dr. Abdulmohsen Al-Aqeil, an associate professor in the Department of Clinical Pharmacy at the College of Pharmacy. The document announces voting for the lecture using an online platform and thanks the audience.
STROBE-IS2012.ppt check list presentationsujitha12341
This document provides an overview and summary of the STROBE Statement, which is guidance on how to report observational studies. It describes the main elements of the STROBE checklist, which contains 22 items addressing different aspects of observational study reporting such as the title, abstract, introduction, methods, results, and discussion sections. The goal of STROBE is to improve transparency in observational study reporting. It focuses on cohort, case-control, and cross-sectional study designs. Several extensions of STROBE have also been developed for specific study types such as genetic association studies.
Narrative review | Systematic review | Data extractionPubrica
When conducting a systematic review of prospective cohort studies, it’s crucial to extract relevant data from the included studies in a consistent and structured manner. Here are some variables to consider when creating a data extraction form for your systematic review.
Visit us @ https://pubrica.com/services/medical-data-collection/
This document discusses bioequivalence studies. It defines bioequivalence as when two drug products reach systemic circulation to the same relative extent, with their plasma concentration-time profiles being identical without statistically significant differences. It describes the analytical methods, pharmacokinetic evaluation, and statistical evaluation used in bioequivalence studies. It also discusses study designs such as parallel designs, crossover designs, and fasting versus fed conditions that can be used in bioequivalence studies.
Narrative review | Prisma systematic review | Medical writingPubrica
At Pubrica, we collect data from a wide range of sources and perform semantic annotation based on the research questions that you wanted to solve. Pubrica has the vast majority of the data in doctor’s notes; electronic medical records, prescriptions, and similar information are available. Although therein lies the golden possibility of big data in medical care, it’s challenging to yield valuable insights due to complex, unstructured, longitudinal, and voluminous data.
Visit us @ https://pubrica.com/academy/systematic-review/variables-used-in-data-extraction-for-prospective-cohort-studies-in-a-systematic-review/
Research Design for health care studentsCharu Parthe
This document discusses research design and methodology. It begins by defining research and outlining the key components of research design, including defining the problem, developing hypotheses, collecting and analyzing data, and formulating conclusions. It then describes different types of research designs, including experimental, non-experimental, analytical, and descriptive studies. Specific methodologies like randomized controlled trials, cohort studies, case-control studies, and cross-sectional studies are explained in detail. Key aspects of research methodology like biases, confounding variables, and validity and reliability are also covered.
This document provides an overview of research methods and statistical concepts. It discusses research design types including descriptive, historical, and experimental. Experimental design can be true experiments or quasi-experiments. It also discusses quantitative and qualitative research approaches and mixed methods. Key statistical concepts are defined, such as population, sample, probability and non-probability sampling, and levels of measurement. Common statistical tests are introduced along with important assumptions. The document provides guidance on how to measure learning experimentally using different research designs. It also discusses how to determine appropriate sample sizes and select statistical analyses based on the research questions.
Five steps to conducting a systematic reviewDinesh Rokaya
Five steps to conducting a systematic review outlines a 5-step process for conducting systematic reviews: 1) Framing questions, 2) Identifying relevant publications, 3) Assessing study quality, 4) Summarizing evidence, and 5) Interpreting findings. The document uses the example of a review on water fluoridation safety to illustrate these steps. It describes framing a clear structured question, extensively searching for studies, selecting 254 studies that compared fluoridated to non-fluoridated areas, assessing study quality considering biases, and summarizing evidence on cancer outcomes from 26 studies to determine the safety of water fluoridation.
This document discusses selective outcome reporting bias (ORB), which occurs when researchers select a subset of original outcomes to report based on statistical significance. ORB threatens the validity of systematic reviews and meta-analyses. The document describes different types of ORB and methods to assess risk of bias. It proposes the ORBIT classification system to code incomplete outcome reporting in trials. Sensitivity analyses can estimate the potential impact of ORB on review conclusions. While awareness of ORB is growing, more needs to be done to address this issue through improved trial registration, reporting and access to protocols and outcomes.
This document provides an overview of research methods and biostatistics. It defines key terms like research, research methods, and statistical analysis. It describes different types of study designs including descriptive studies, analytical studies, experimental studies, and epidemiological study designs. It outlines the characteristics of observational studies like cross-sectional and case-control studies as well as experimental studies. It also discusses appropriate statistical tests to analyze different types of data and research problems. Finally, it lists some online resources and computer software that can be used in statistical analysis.
This document provides an overview of quality in scientific research. It defines quality as meeting standards of scientific rigor, such as having a well-defined research question, transparent and reproducible methodology, and unbiased reporting of results. The document discusses research quality standards, validity, quantitative and qualitative research methods, and checklists for standardized research reporting. It also addresses challenges in promoting quality and characteristics of high-quality research.
Level of Evidence- Dina Hudiya Nadana Lubis.pptxdina410715
This document provides an overview of different types of evidence and study designs used to assess levels of evidence in healthcare research. It defines level of evidence as a hierarchical system used to assess the quality and strength of research findings. Randomized controlled trials, cohort studies, case-control studies, and cross-sectional studies are described as primary sources of evidence, while systematic reviews and meta-analyses are secondary sources. The advantages and disadvantages of each study design are summarized in a table. Systematic reviews synthesize existing evidence through a structured process, while meta-analyses conduct quantitative analyses to derive summary effect sizes. Expert opinion is also discussed as a source of evidence.
Study designs & amp; trials presentation1 2Praveen Ganji
This document defines and describes different types of clinical research studies and trials. It discusses meta-analyses, systematic reviews, randomized controlled trials, cohort studies, case-control studies, cross-sectional studies, case reports, editorials, animal research, laboratory research, and clinical trial phases. For each type of study, it provides brief explanations of their purpose and advantages and disadvantages. It also defines key statistical concepts like p-values and standard deviation.
Quick introduction to critical appraisal of quantitative researchAlan Fricker
1) The document provides an introduction to critically appraising quantitative research for healthcare. It discusses key concepts such as levels of evidence, validity, reliability, and transferability.
2) Critical appraisal involves assessing a study's validity, rigor, and relevance through a structured process using checklists to evaluate aspects like research design, sample size, randomization, and potential for bias.
3) Statistical measures like p-values, confidence intervals, and effect sizes are important to consider, but clinical significance is also key when determining if results can be applied to practice.
Critical appraisal.docx IMPORTAN TO HEALTH SCIENCE STUDENTSMulugetaAbeneh1
Critical appraisal is the process of systematically examining evidence to assess its validity, results, and relevance before using it to inform decisions. This document discusses tools for critically appraising different types of studies, including systematic reviews, guidelines, and primary studies. It provides examples of appraising systematic reviews using the AMSTAR tool and appraising randomized controlled trials using the JBI critical appraisal checklist. The document concludes that plastic wraps effectively prevent hypothermia in preterm and low birth weight infants compared to standard care, as shown in multiple systematic reviews and randomized trials.
Presentation1.pptx..this important document for health care workers specially...MulugetaAbeneh1
This document provides an overview of a critical appraisal assignment being conducted by four nursing students in Addis Ababa, Ethiopia. It includes an acknowledgement section thanking instructors for their support. The objective is to develop an understanding of critically appraising evidence using checklists. It introduces levels of evidence and describes how to assess the validity, reliability, and applicability of systematic reviews, randomized controlled trials, and other study designs. Rapid critical appraisal checklists are provided for systematic reviews/meta-analyses and randomized controlled trials to guide evaluation of the studies.
1. The document discusses principles of research design including control, balance, randomization, and replication. It also describes common experimental designs like completely randomized, paired, random block, and cross-over designs.
2. Survey design content includes purpose, population, sample size, observed unit, questionnaire, and data collection. Surveys are classified as overall, sampling, typical, case-control, or cohort.
3. Experimental designs aim to reliably estimate effects with minimal resources, while surveys either observe existing processes or are designed to collect sample data for statistical analysis and inference.
This document discusses meta-analysis, which involves systematically combining results from multiple studies to derive conclusions about a body of research. It describes the key steps in conducting a meta-analysis, including writing a research question and protocol, performing a comprehensive literature search, selecting studies, assessing study quality, extracting data, and analyzing data. Statistical methods for pooling results across studies using fixed and random effects models are also outlined. The document highlights strengths and limitations of meta-analysis for providing more precise estimates of treatment effects and identifying areas needing further research.
Critically appraise evidence based findingsBarryCRNA
The document discusses critical appraisal of evidence-based findings. It defines critical appraisal as assessing the strength and quality of scientific evidence to evaluate its applicability to healthcare decision making. Strength of evidence depends on factors like quality, quantity, and consistency of research. Evidence is ranked in levels based on research design, with systematic reviews and randomized controlled trials having the highest levels of evidence. Evaluating the quality and applicability of evidence involves assessing the validity of results and whether results can be applied to target populations. Statistical evaluation through effect sizes can also aid in appraising evidence.
This document provides an outline and guidelines for developing quantitative research methods plans for surveys and experiments. It defines key components and considerations for survey design, experimental design, developing instrumentation, identifying variables, sampling procedures, data analysis, and interpreting results. Checklists are provided to guide the planning of surveys and experiments. Potential threats to validity are also discussed.
Ana Marusic - MedicReS World Congress 2011MedicReS
Four clinical trials (Trials A-D) tested active treatments against placebo for about 5 years. Trial A reported survival rates, Trial B reported risk reduction, Trial C reported mortality reduction, and Trial D reported number needed to treat. Clinicians considered Trials B and D most useful for practice based on how the results were reported. Reporting guidelines recommend presenting numbers of events, absolute risk reductions, relative risks with confidence intervals, and number needed to treat to improve interpretation and clinical applicability of trial results. Adopting reporting standards can enhance transparency and reliability of research literature.
This document provides an overview of evidence-based periodontics. It discusses the need for evidence-based decision making to reduce variations in clinical practice. The advantages of an evidence-based approach are that it is objective, scientifically sound, patient-focused, and incorporates clinical expertise. The process of evidence-based decision making involves framing questions, searching for and appraising evidence from various sources and levels, evaluating outcomes, and implementing decisions. Key aspects include assessing evidence critically and avoiding changes to pre-established hypotheses.
The document discusses various types of clinical trial designs and observational studies. It describes key characteristics and considerations for observational studies like cross-sectional, cohort and case-control studies. It also covers important aspects of designing clinical trials such as determining eligibility criteria, study objectives, randomization, blinding/masking, control groups and follow-up of patients. Overall, the document provides guidance on formulating research questions and selecting appropriate study designs to answer those questions in a valid, unbiased manner.
A cohort study involves following groups of individuals over time to examine exposure and disease status. Cohort studies compare disease incidence between exposed and unexposed groups. Key aspects include selecting cohorts based on exposure status, obtaining exposure data, following cohorts over time to measure disease outcomes, and analyzing results by calculating incidence rates and relative risks. Advantages are the ability to establish temporal relationships and measure multiple outcomes, while disadvantages include time and cost requirements and potential for loss to follow-up.
Research Evaluation WorksheetPSYCH610 Version 11Universit.docxdebishakespeare
Research Evaluation Worksheet
PSYCH/610 Version 1
1
University of Phoenix Material
Research Evaluation Worksheet
Title:
Full Article Reference (APA style):
Abstract
Introduction
a. Is the need for the study clearly stated in the introduction? Explain by using information presented in the literature review.
b. What is the research hypothesis or question?
c. What are the variables of interest (independent and dependent variables)?
d. How are the variables operationally defined?
Method
a. Sample Size (Total): ________________ Size Per Group/Cell: _______________
b. Were the methods and procedures described so that the study could be replicated without further information? What information, if any, would you need to replicate or reproduce this study?
Participants
a. How were participants selected and recruited?
b. Were subjects randomly selected?
c. Were there any biases in sampling? Explain
d. Were the samples appropriate for the population to which the researcher wished to generalize?
e. What are the characteristics of the sample populations?
Research Design (check which design applies)
_______ Single group, time series study
_______ Multiple baseline (sequential) design: ______________
_______ Single group, no measurement
_______ Single group with measurement: Pre ______ During _____ Post _____
_______ Two groups classic experimental versus control group, randomly assigned
_______ (quasi-experimental) two groups experimental versus control group,
not randomly assigned
_______ Correlation research, not manipulated, degree of relationship
_______ Descriptive research (qualitative study)
_______ Natural observation
_______ Analytical research
_______ Interview research
_______ Historical study
_______ Survey research
_______ Legal study
_______ Ethnography research
_______ Policy analysis
_______ Fieldwork research
_______ Evaluation study
_______ Phenomenology
_______ Grounded theory
_______ Protocol analysis (collection and analysis of verbatim reports)
_______ Case study, no measurement
_______ Case study, with measurement: Pre _________ During _______ Post _________
_______ Developmental research
_______ Longitudinal (same group of subjects over period of time)
_______ Cross-sectional (subjects from different age groups compared)
_______ Cross-sequential (subjects from different age groups, shorter period of time)
_______ Correlation, more than two groups: control, treatment, and other treatment comparisons
_______ Factorial design, two or more groups: other treatment differences, no untreated controls
_______ Two or more dependent variables (MANOVA)
_______ Other design: __________________________________________________________
Consider the Following Questions:
a. Was a control group used? Yes ______ No ______ If yes, complete b, c, and d below.
b. Was the “control” method for the study appropriate?
c. What variable was being controlled for?
d. In the case of an experimental stud ...
Research Evaluation WorksheetPSYCH610 Version 12Universit.docxdebishakespeare
Research Evaluation Worksheet
PSYCH/610 Version 1
2
University of Phoenix Material
Research Evaluation Worksheet
Title:
Full Article Reference (APA style):
Abstract
Introduction
a. Is the need for the study clearly stated in the introduction? Explain by using information presented in the literature review.
b. What is the research hypothesis or question?
c. What are the variables of interest (independent and dependent variables)?
d. How are the variables operationally defined?
Method
a. Sample Size (Total): ________________
Size Per Group/Cell: _______________
b. Were the methods and procedures described so that the study could be replicated without further information? What information, if any, would you need to replicate or reproduce this study?
Participants
a. How were participants selected and recruited?
b. Were subjects randomly selected?
c. Were there any biases in sampling? Explain
d. Were the samples appropriate for the population to which the researcher wished to generalize?
e. What are the characteristics of the sample populations?
Research Design (check which design applies)
_______ Single group, time series study
_______ Multiple baseline (sequential) design: ______________
_______ Single group, no measurement
_______ Single group with measurement: Pre ______ During _____ Post _____
_______ Two groups classic experimental versus control group, randomly assigned
_______ (quasi-experimental) two groups experimental versus control group,
not randomly assigned
_______ Correlation research, not manipulated, degree of relationship
_______ Descriptive research (qualitative study)
_______ Natural observation
_______ Analytical research
_______ Interview research
_______ Historical study
_______ Survey research
_______ Legal study
_______ Ethnography research
_______ Policy analysis
_______ Fieldwork research
_______ Evaluation study
_______ Phenomenology
_______ Grounded theory
_______ Protocol analysis (collection and analysis of verbatim reports)
_______ Case study, no measurement
_______ Case study, with measurement: Pre _________ During _______ Post _________
_______ Developmental research
_______ Longitudinal (same group of subjects over period of time)
_______ Cross-sectional (subjects from different age groups compared)
_______ Cross-sequential (subjects from different age groups, shorter period of time)
_______ Correlation, more than two groups: control, treatment, and other treatment comparisons
_______ Factorial design, two or more groups: other treatment differences, no untreated controls
_______ Two or more dependent variables (MANOVA)
_______ Other design: __________________________________________________________
Consider the Following Questions:
a. Was a control group used? Yes ______ No ______ If yes, complete b, c, and d below.
b. Was the “control” method for the study appropriate?
c. What variable was being controlled for?
d. In the case of ...
Summer is a time for fun in the sun, but the heat and humidity can also wreak havoc on your skin. From itchy rashes to unwanted pigmentation, several skin conditions become more prevalent during these warmer months.
Computer in pharmaceutical research and development-Mpharm(Pharmaceutics)MuskanShingari
Statistics- Statistics is the science of collecting, organizing, presenting, analyzing and interpreting numerical data to assist in making more effective decisions.
A statistics is a measure which is used to estimate the population parameter
Parameters-It is used to describe the properties of an entire population.
Examples-Measures of central tendency Dispersion, Variance, Standard Deviation (SD), Absolute Error, Mean Absolute Error (MAE), Eigen Value
This document provides an overview of research methods and statistical concepts. It discusses research design types including descriptive, historical, and experimental. Experimental design can be true experiments or quasi-experiments. It also discusses quantitative and qualitative research approaches and mixed methods. Key statistical concepts are defined, such as population, sample, probability and non-probability sampling, and levels of measurement. Common statistical tests are introduced along with important assumptions. The document provides guidance on how to measure learning experimentally using different research designs. It also discusses how to determine appropriate sample sizes and select statistical analyses based on the research questions.
Five steps to conducting a systematic reviewDinesh Rokaya
Five steps to conducting a systematic review outlines a 5-step process for conducting systematic reviews: 1) Framing questions, 2) Identifying relevant publications, 3) Assessing study quality, 4) Summarizing evidence, and 5) Interpreting findings. The document uses the example of a review on water fluoridation safety to illustrate these steps. It describes framing a clear structured question, extensively searching for studies, selecting 254 studies that compared fluoridated to non-fluoridated areas, assessing study quality considering biases, and summarizing evidence on cancer outcomes from 26 studies to determine the safety of water fluoridation.
This document discusses selective outcome reporting bias (ORB), which occurs when researchers select a subset of original outcomes to report based on statistical significance. ORB threatens the validity of systematic reviews and meta-analyses. The document describes different types of ORB and methods to assess risk of bias. It proposes the ORBIT classification system to code incomplete outcome reporting in trials. Sensitivity analyses can estimate the potential impact of ORB on review conclusions. While awareness of ORB is growing, more needs to be done to address this issue through improved trial registration, reporting and access to protocols and outcomes.
This document provides an overview of research methods and biostatistics. It defines key terms like research, research methods, and statistical analysis. It describes different types of study designs including descriptive studies, analytical studies, experimental studies, and epidemiological study designs. It outlines the characteristics of observational studies like cross-sectional and case-control studies as well as experimental studies. It also discusses appropriate statistical tests to analyze different types of data and research problems. Finally, it lists some online resources and computer software that can be used in statistical analysis.
This document provides an overview of quality in scientific research. It defines quality as meeting standards of scientific rigor, such as having a well-defined research question, transparent and reproducible methodology, and unbiased reporting of results. The document discusses research quality standards, validity, quantitative and qualitative research methods, and checklists for standardized research reporting. It also addresses challenges in promoting quality and characteristics of high-quality research.
Level of Evidence- Dina Hudiya Nadana Lubis.pptxdina410715
This document provides an overview of different types of evidence and study designs used to assess levels of evidence in healthcare research. It defines level of evidence as a hierarchical system used to assess the quality and strength of research findings. Randomized controlled trials, cohort studies, case-control studies, and cross-sectional studies are described as primary sources of evidence, while systematic reviews and meta-analyses are secondary sources. The advantages and disadvantages of each study design are summarized in a table. Systematic reviews synthesize existing evidence through a structured process, while meta-analyses conduct quantitative analyses to derive summary effect sizes. Expert opinion is also discussed as a source of evidence.
Study designs & amp; trials presentation1 2Praveen Ganji
This document defines and describes different types of clinical research studies and trials. It discusses meta-analyses, systematic reviews, randomized controlled trials, cohort studies, case-control studies, cross-sectional studies, case reports, editorials, animal research, laboratory research, and clinical trial phases. For each type of study, it provides brief explanations of their purpose and advantages and disadvantages. It also defines key statistical concepts like p-values and standard deviation.
Quick introduction to critical appraisal of quantitative researchAlan Fricker
1) The document provides an introduction to critically appraising quantitative research for healthcare. It discusses key concepts such as levels of evidence, validity, reliability, and transferability.
2) Critical appraisal involves assessing a study's validity, rigor, and relevance through a structured process using checklists to evaluate aspects like research design, sample size, randomization, and potential for bias.
3) Statistical measures like p-values, confidence intervals, and effect sizes are important to consider, but clinical significance is also key when determining if results can be applied to practice.
Critical appraisal.docx IMPORTAN TO HEALTH SCIENCE STUDENTSMulugetaAbeneh1
Critical appraisal is the process of systematically examining evidence to assess its validity, results, and relevance before using it to inform decisions. This document discusses tools for critically appraising different types of studies, including systematic reviews, guidelines, and primary studies. It provides examples of appraising systematic reviews using the AMSTAR tool and appraising randomized controlled trials using the JBI critical appraisal checklist. The document concludes that plastic wraps effectively prevent hypothermia in preterm and low birth weight infants compared to standard care, as shown in multiple systematic reviews and randomized trials.
Presentation1.pptx..this important document for health care workers specially...MulugetaAbeneh1
This document provides an overview of a critical appraisal assignment being conducted by four nursing students in Addis Ababa, Ethiopia. It includes an acknowledgement section thanking instructors for their support. The objective is to develop an understanding of critically appraising evidence using checklists. It introduces levels of evidence and describes how to assess the validity, reliability, and applicability of systematic reviews, randomized controlled trials, and other study designs. Rapid critical appraisal checklists are provided for systematic reviews/meta-analyses and randomized controlled trials to guide evaluation of the studies.
1. The document discusses principles of research design including control, balance, randomization, and replication. It also describes common experimental designs like completely randomized, paired, random block, and cross-over designs.
2. Survey design content includes purpose, population, sample size, observed unit, questionnaire, and data collection. Surveys are classified as overall, sampling, typical, case-control, or cohort.
3. Experimental designs aim to reliably estimate effects with minimal resources, while surveys either observe existing processes or are designed to collect sample data for statistical analysis and inference.
This document discusses meta-analysis, which involves systematically combining results from multiple studies to derive conclusions about a body of research. It describes the key steps in conducting a meta-analysis, including writing a research question and protocol, performing a comprehensive literature search, selecting studies, assessing study quality, extracting data, and analyzing data. Statistical methods for pooling results across studies using fixed and random effects models are also outlined. The document highlights strengths and limitations of meta-analysis for providing more precise estimates of treatment effects and identifying areas needing further research.
Critically appraise evidence based findingsBarryCRNA
The document discusses critical appraisal of evidence-based findings. It defines critical appraisal as assessing the strength and quality of scientific evidence to evaluate its applicability to healthcare decision making. Strength of evidence depends on factors like quality, quantity, and consistency of research. Evidence is ranked in levels based on research design, with systematic reviews and randomized controlled trials having the highest levels of evidence. Evaluating the quality and applicability of evidence involves assessing the validity of results and whether results can be applied to target populations. Statistical evaluation through effect sizes can also aid in appraising evidence.
This document provides an outline and guidelines for developing quantitative research methods plans for surveys and experiments. It defines key components and considerations for survey design, experimental design, developing instrumentation, identifying variables, sampling procedures, data analysis, and interpreting results. Checklists are provided to guide the planning of surveys and experiments. Potential threats to validity are also discussed.
Ana Marusic - MedicReS World Congress 2011MedicReS
Four clinical trials (Trials A-D) tested active treatments against placebo for about 5 years. Trial A reported survival rates, Trial B reported risk reduction, Trial C reported mortality reduction, and Trial D reported number needed to treat. Clinicians considered Trials B and D most useful for practice based on how the results were reported. Reporting guidelines recommend presenting numbers of events, absolute risk reductions, relative risks with confidence intervals, and number needed to treat to improve interpretation and clinical applicability of trial results. Adopting reporting standards can enhance transparency and reliability of research literature.
This document provides an overview of evidence-based periodontics. It discusses the need for evidence-based decision making to reduce variations in clinical practice. The advantages of an evidence-based approach are that it is objective, scientifically sound, patient-focused, and incorporates clinical expertise. The process of evidence-based decision making involves framing questions, searching for and appraising evidence from various sources and levels, evaluating outcomes, and implementing decisions. Key aspects include assessing evidence critically and avoiding changes to pre-established hypotheses.
The document discusses various types of clinical trial designs and observational studies. It describes key characteristics and considerations for observational studies like cross-sectional, cohort and case-control studies. It also covers important aspects of designing clinical trials such as determining eligibility criteria, study objectives, randomization, blinding/masking, control groups and follow-up of patients. Overall, the document provides guidance on formulating research questions and selecting appropriate study designs to answer those questions in a valid, unbiased manner.
A cohort study involves following groups of individuals over time to examine exposure and disease status. Cohort studies compare disease incidence between exposed and unexposed groups. Key aspects include selecting cohorts based on exposure status, obtaining exposure data, following cohorts over time to measure disease outcomes, and analyzing results by calculating incidence rates and relative risks. Advantages are the ability to establish temporal relationships and measure multiple outcomes, while disadvantages include time and cost requirements and potential for loss to follow-up.
Research Evaluation WorksheetPSYCH610 Version 11Universit.docxdebishakespeare
Research Evaluation Worksheet
PSYCH/610 Version 1
1
University of Phoenix Material
Research Evaluation Worksheet
Title:
Full Article Reference (APA style):
Abstract
Introduction
a. Is the need for the study clearly stated in the introduction? Explain by using information presented in the literature review.
b. What is the research hypothesis or question?
c. What are the variables of interest (independent and dependent variables)?
d. How are the variables operationally defined?
Method
a. Sample Size (Total): ________________ Size Per Group/Cell: _______________
b. Were the methods and procedures described so that the study could be replicated without further information? What information, if any, would you need to replicate or reproduce this study?
Participants
a. How were participants selected and recruited?
b. Were subjects randomly selected?
c. Were there any biases in sampling? Explain
d. Were the samples appropriate for the population to which the researcher wished to generalize?
e. What are the characteristics of the sample populations?
Research Design (check which design applies)
_______ Single group, time series study
_______ Multiple baseline (sequential) design: ______________
_______ Single group, no measurement
_______ Single group with measurement: Pre ______ During _____ Post _____
_______ Two groups classic experimental versus control group, randomly assigned
_______ (quasi-experimental) two groups experimental versus control group,
not randomly assigned
_______ Correlation research, not manipulated, degree of relationship
_______ Descriptive research (qualitative study)
_______ Natural observation
_______ Analytical research
_______ Interview research
_______ Historical study
_______ Survey research
_______ Legal study
_______ Ethnography research
_______ Policy analysis
_______ Fieldwork research
_______ Evaluation study
_______ Phenomenology
_______ Grounded theory
_______ Protocol analysis (collection and analysis of verbatim reports)
_______ Case study, no measurement
_______ Case study, with measurement: Pre _________ During _______ Post _________
_______ Developmental research
_______ Longitudinal (same group of subjects over period of time)
_______ Cross-sectional (subjects from different age groups compared)
_______ Cross-sequential (subjects from different age groups, shorter period of time)
_______ Correlation, more than two groups: control, treatment, and other treatment comparisons
_______ Factorial design, two or more groups: other treatment differences, no untreated controls
_______ Two or more dependent variables (MANOVA)
_______ Other design: __________________________________________________________
Consider the Following Questions:
a. Was a control group used? Yes ______ No ______ If yes, complete b, c, and d below.
b. Was the “control” method for the study appropriate?
c. What variable was being controlled for?
d. In the case of an experimental stud ...
Research Evaluation WorksheetPSYCH610 Version 12Universit.docxdebishakespeare
Research Evaluation Worksheet
PSYCH/610 Version 1
2
University of Phoenix Material
Research Evaluation Worksheet
Title:
Full Article Reference (APA style):
Abstract
Introduction
a. Is the need for the study clearly stated in the introduction? Explain by using information presented in the literature review.
b. What is the research hypothesis or question?
c. What are the variables of interest (independent and dependent variables)?
d. How are the variables operationally defined?
Method
a. Sample Size (Total): ________________
Size Per Group/Cell: _______________
b. Were the methods and procedures described so that the study could be replicated without further information? What information, if any, would you need to replicate or reproduce this study?
Participants
a. How were participants selected and recruited?
b. Were subjects randomly selected?
c. Were there any biases in sampling? Explain
d. Were the samples appropriate for the population to which the researcher wished to generalize?
e. What are the characteristics of the sample populations?
Research Design (check which design applies)
_______ Single group, time series study
_______ Multiple baseline (sequential) design: ______________
_______ Single group, no measurement
_______ Single group with measurement: Pre ______ During _____ Post _____
_______ Two groups classic experimental versus control group, randomly assigned
_______ (quasi-experimental) two groups experimental versus control group,
not randomly assigned
_______ Correlation research, not manipulated, degree of relationship
_______ Descriptive research (qualitative study)
_______ Natural observation
_______ Analytical research
_______ Interview research
_______ Historical study
_______ Survey research
_______ Legal study
_______ Ethnography research
_______ Policy analysis
_______ Fieldwork research
_______ Evaluation study
_______ Phenomenology
_______ Grounded theory
_______ Protocol analysis (collection and analysis of verbatim reports)
_______ Case study, no measurement
_______ Case study, with measurement: Pre _________ During _______ Post _________
_______ Developmental research
_______ Longitudinal (same group of subjects over period of time)
_______ Cross-sectional (subjects from different age groups compared)
_______ Cross-sequential (subjects from different age groups, shorter period of time)
_______ Correlation, more than two groups: control, treatment, and other treatment comparisons
_______ Factorial design, two or more groups: other treatment differences, no untreated controls
_______ Two or more dependent variables (MANOVA)
_______ Other design: __________________________________________________________
Consider the Following Questions:
a. Was a control group used? Yes ______ No ______ If yes, complete b, c, and d below.
b. Was the “control” method for the study appropriate?
c. What variable was being controlled for?
d. In the case of ...
Summer is a time for fun in the sun, but the heat and humidity can also wreak havoc on your skin. From itchy rashes to unwanted pigmentation, several skin conditions become more prevalent during these warmer months.
Computer in pharmaceutical research and development-Mpharm(Pharmaceutics)MuskanShingari
Statistics- Statistics is the science of collecting, organizing, presenting, analyzing and interpreting numerical data to assist in making more effective decisions.
A statistics is a measure which is used to estimate the population parameter
Parameters-It is used to describe the properties of an entire population.
Examples-Measures of central tendency Dispersion, Variance, Standard Deviation (SD), Absolute Error, Mean Absolute Error (MAE), Eigen Value
STUDIES IN SUPPORT OF SPECIAL POPULATIONS: GERIATRICS E7shruti jagirdar
Unit 4: MRA 103T Regulatory affairs
This guideline is directed principally toward new Molecular Entities that are
likely to have significant use in the elderly, either because the disease intended
to be treated is characteristically a disease of aging ( e.g., Alzheimer's disease) or
because the population to be treated is known to include substantial numbers of
geriatric patients (e.g., hypertension).
Know the difference between Endodontics and Orthodontics.Gokuldas Hospital
Your smile is beautiful.
Let’s be honest. Maintaining that beautiful smile is not an easy task. It is more than brushing and flossing. Sometimes, you might encounter dental issues that need special dental care. These issues can range anywhere from misalignment of the jaw to pain in the root of teeth.
PGx Analysis in VarSeq: A User’s PerspectiveGolden Helix
Since our release of the PGx capabilities in VarSeq, we’ve had a few months to gather some insights from various use cases. Some users approach PGx workflows by means of array genotyping or what seems to be a growing trend of adding the star allele calling to the existing NGS pipeline for whole genome data. Luckily, both approaches are supported with the VarSeq software platform. The genotyping method being used will also dictate what the scope of the tertiary analysis will be. For example, are your PGx reports a standalone pipeline or would your lab’s goal be to handle a dual-purpose workflow and report on PGx + Diagnostic findings.
The purpose of this webcast is to:
Discuss and demonstrate the approaches with array and NGS genotyping methods for star allele calling to prep for downstream analysis.
Following genotyping, explore alternative tertiary workflow concepts in VarSeq to handle PGx reporting.
Moreover, we will include insights users will need to consider when validating their PGx workflow for all possible star alleles and options you have for automating your PGx analysis for large number of samples. Please join us for a session dedicated to the application of star allele genotyping and subsequent PGx workflows in our VarSeq software.
5-hydroxytryptamine or 5-HT or Serotonin is a neurotransmitter that serves a range of roles in the human body. It is sometimes referred to as the happy chemical since it promotes overall well-being and happiness.
It is mostly found in the brain, intestines, and blood platelets.
5-HT is utilised to transport messages between nerve cells, is known to be involved in smooth muscle contraction, and adds to overall well-being and pleasure, among other benefits. 5-HT regulates the body's sleep-wake cycles and internal clock by acting as a precursor to melatonin.
It is hypothesised to regulate hunger, emotions, motor, cognitive, and autonomic processes.
The skin is the largest organ and its health plays a vital role among the other sense organs. The skin concerns like acne breakout, psoriasis, or anything similar along the lines, finding a qualified and experienced dermatologist becomes paramount.
Osvaldo Bernardo Muchanga-GASTROINTESTINAL INFECTIONS AND GASTRITIS-2024.pdfOsvaldo Bernardo Muchanga
GASTROINTESTINAL INFECTIONS AND GASTRITIS
Osvaldo Bernardo Muchanga
Gastrointestinal Infections
GASTROINTESTINAL INFECTIONS result from the ingestion of pathogens that cause infections at the level of this tract, generally being transmitted by food, water and hands contaminated by microorganisms such as E. coli, Salmonella, Shigella, Vibrio cholerae, Campylobacter, Staphylococcus, Rotavirus among others that are generally contained in feces, thus configuring a FECAL-ORAL type of transmission.
Among the factors that lead to the occurrence of gastrointestinal infections are the hygienic and sanitary deficiencies that characterize our markets and other places where raw or cooked food is sold, poor environmental sanitation in communities, deficiencies in water treatment (or in the process of its plumbing), risky hygienic-sanitary habits (not washing hands after major and/or minor needs), among others.
These are generally consequences (signs and symptoms) resulting from gastrointestinal infections: diarrhea, vomiting, fever and malaise, among others.
The treatment consists of replacing lost liquids and electrolytes (drinking drinking water and other recommended liquids, including consumption of juicy fruits such as papayas, apples, pears, among others that contain water in their composition).
To prevent this, it is necessary to promote health education, improve the hygienic-sanitary conditions of markets and communities in general as a way of promoting, preserving and prolonging PUBLIC HEALTH.
Gastritis and Gastric Health
Gastric Health is one of the most relevant concerns in human health, with gastrointestinal infections being among the main illnesses that affect humans.
Among gastric problems, we have GASTRITIS AND GASTRIC ULCERS as the main public health problems. Gastritis and gastric ulcers normally result from inflammation and corrosion of the walls of the stomach (gastric mucosa) and are generally associated (caused) by the bacterium Helicobacter pylor, which, according to the literature, this bacterium settles on these walls (of the stomach) and starts to release urease that ends up altering the normal pH of the stomach (acid), which leads to inflammation and corrosion of the mucous membranes and consequent gastritis or ulcers, respectively.
In addition to bacterial infections, gastritis and gastric ulcers are associated with several factors, with emphasis on prolonged fasting, chemical substances including drugs, alcohol, foods with strong seasonings including chilli, which ends up causing inflammation of the stomach walls and/or corrosion. of the same, resulting in the appearance of wounds and consequent gastritis or ulcers, respectively.
Among patients with gastritis and/or ulcers, one of the dilemmas is associated with the foods to consume in order to minimize the sensation of pain and discomfort.
“Psychiatry and the Humanities”: An Innovative Course at the University of Mo...Université de Montréal
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“Psychiatry and the Humanities”: An Innovative Course at the University of Mo...
NOS SCALE.ppt
1. The Newcastle-Ottawa Scale (NOS)
for Assessing the Quality of
Nonrandomized Studies in Meta-
Analysis
G. Wells, B. Shea, D. O’Connell,
J. Robertson, J. Peterson, V.
Welch, M. Losos, P. Tugwell
3. Development: Item Selection
• Newcastle quality assessment form
• Ottawa comprehensive list
• Panel review
• Critical review by experts
4. Development: Grouping Items
• Cohort studies
• Selection of cohorts
• Comparability of cohorts
• Assessment of outcome
• Case-Control studies
• Selection of case and controls
• Comparability of cases and controls
• Ascertainment of exposure
5. Development: Identifying Items
• Identify ‘high’ quality choices with a
‘star’
• A maximum of one ‘star’ for each h
item within the ‘Selection’ and
‘Exposure/Outcome’ categories;
maximum of two ‘stars’ for
‘Comparability’
6. NEWCASTLE - OTTAWA QUALITY ASSESSMENT SCALE
COHORT STUDIES
Note: A study can be awarded a ma ximum of one star for each numbered item within the Selection and
Outcome categories. A maximum of two stars can be given for Comparability
Selection
1) Representativeness of the exposed cohort
a) truly representative of the average _______________ (describe) in the community
b) somewhat representative of the average ______________ in the community
c) selected group of users eg nurses, volunteers
d) no description of the derivation of the cohort
2) Selection of the non exposed cohort
a) drawn from the same community as the exposed cohort
b) drawn from a different source
c) no description of the derivation of the non exposed cohort
3) Ascertainment of exposure
a) secure record (eg surgical records)
b) structured interview
c) written self report
d) no description
4) Demonstration that outcome of interest was not present at start of study
a) yes
b) no
Comparability
1) Comparability of cohorts on the basis of the design or analysis
a) study controls for _____________ (select the most important factor)
b) study controls for any additional factor (This criteria could be modified to indicate specific
control for a second important factor.)
Outcome
1) Assessment of outcome
a) independent blind assessment
b) record linkage
c) self report
d) no description
2) Was follow-up long enough for outcomes to occur
a) yes (select an adequate follow up period for outcome of interest)
b) no
3) Adequacy of follow up of cohorts
a) complete follow up - all subjects accounted for
b) subjects lost to follow up unlikely to introduce bias - small number lost - > ____ % (select an
adequate %) follow up, or description provided of those lost)
c) follow up rate < ____% (select an adequate %) and no description of those lost
d) no statement
7. NEWCASTLE - OTTAWA QUALITY ASSESSMENT SCALE
CASE CONTROL STUDIES
Note: A study can be awarded a ma ximum of one star for each numbered item within the Selection and
Exposure categories. A maximum of two stars can be given for Comparability.
Selection
1) Is the case definition adequate?
a) yes, with independent validation
b) yes, eg record linkage or based on self reports
c) no description
2) Representativeness of the cases
a) consecutive or obviously representative series of cases
b) potential for selection biases or not stated
3) Selection of Controls
a) community controls
b) hospital controls
c) no description
4) Definition of Controls
a) no history of disease (endpoint)
b) no description of source
Comparability
1) Comparability of cases and controls on the basis of the design or analysis
a) study controls for _______________ (Select the most important factor.)
b) study controls for any additional factor (This criteria could be modified to indicate specific
control for a second important factor.)
Exposure
1) Ascertainment of exposure
a) secure record (eg surgical records)
b) structured interview where blind to case/control status
c) interview not blinded to case/control status
d) written self report or medical record only
e) no description
2) Same method of ascertainment for cases and controls
a) yes
b) no
3) Non-Response rate
a) same rate for both groups
b) non respondents described
c) rate different and no designation
8. Newcastle-Ottawa Quality Assessment Scale:
Case-Control Studies
• Selection (4)
• Comparability (1)
• Exposure (3)
– A study can be awarded a maximum of one star for each
numbered item within the Selection and Exposure categories.
A maximum of two stars can be given for Comparability
9. 1. Is the case definition adequate?
a) yes, with independent validation
b) yes, eg record linkage or based on self reports
c) no description
2. Representativeness of the cases
a) consecutive or obviously representative series of cases
b) potential for selection biases or not stated
3. Selection of Controls
a) community controls
b) hospital controls
c) no description
4. Definition of Controls
a) no history of disease (endpoint)
b) no description of source
Selection
>1 person/record/time/process
to extract information, or
reference to primary record
source such as x-rays or
medical/hospital records
e.g. ICD codes in database
or self-report with no
reference to primary record
or no description
10. Comparability
1. Comparability of cases and controls on the
basis of the design or analysis
a) study controls for ___________ (select
the most important factor)
b) study controls for any additional factor (This
criteria could be modified to indicate specific
control for a second important factor.)
11. Exposure
1. Ascertainment of exposure
a) secure record (eg surgical records)
b) structured interview where blind to case/control status
c) interview not blinded to case/control status
d) written self report or medical record only
e) no description
2. Same method of ascertainment for cases and controls
a) yes
b) no
3. Non-Response Rate
a) same rate for both groups
b) non respondents described
c) rate different and no designation
12. Newcastle-Ottawa Quality Assessment Scale:
Cohort Studies
• Selection (4)
• Comparability (1)
• Outcome (3)
– A study can be awarded a maximum of one star for each
numbered item within the Selection and outcome categories.
A maximum of two stars can be given for Comparability
13. Selection
1. Representativeness of the exposed cohort
a) truly representative of the average ___________ (describe) in the community
b) somewhat representative of the average ___________ in the community
c) selected group of users eg nurses, volunteers
d) no description of the derivation of the cohort
2. Selection of the non exposed cohort
a) drawn from the same community as the exposed cohort
b) drawn from a different source
c) no description of the derivation of the non exposed cohort
3. Ascertainment of exposure to implants
a) secure record (eg surgical records)
b) structured interview
c) written self report
d) no description
4. Demonstration that outcome of interest was not present at start of study
a) yes
b) no
In the case of mortality
studies, outcome of
interest is still the presence
of a disease/ incident,
rather than death; that is a
statement of no history of
disease or incident earns a
star
14. Comparability
1. Comparability of cohorts on the basis of the
design or analysis
a) study controls for ___________ (select
the most important factor)
b) study controls for any additional factor (This
criteria could be modified to indicate specific
control for a second important factor.)
15. Outcome
1. Assessment of outcome
a) independent blind assessment
b) record linkage
c) self report
d) no description
2. Was follow up long enough for outcomes to occur
a) yes (select an adequate follow up period for outcome of interest)
b) no
3. Adequacy of follow up of cohorts
a) complete follow up - all subjects accounted for
b) subjects lost to follow up unlikely to introduce bias - small number
lost - > ___ % (select an adequate %) follow up, or description of those
lost)
c) follow up rate < ___% (select an adequate %) and no description of
those lost
d) no statement
16. Applications:
• Assess quality of nonrandomized
studies
• Incorporate assessments in
interpretation of meta-analytic
results
• Design, content and ease of use
17. Long Term Hormone Replacement
Therapy and Coronary Heart
Disease Events
18. • Clearly formulated question
• Comprehensive data search
• Unbiased selection and abstraction
process
• Critical appraisal of data
• Synthesis of data
• Perform sensitivity and subgroup
analyses if appropriate and possible
• Prepare a structured report
Steps of a Cochrane Systematic
Review
19. Objective
• Is there a relationship between hormone
replacement therapy and the incidence
of coronary heart disease in
postmenopausal women
20. Inclusion Criteria
• Types of studies
– case-control, cohort or cross-sectional studies
• Population
– postmenopausal women
• Intervention
– women exposed to hormone replacement therapy (estrogen
or estrogen + progesterone)
– ever, current, past
• Outcomes
– coronary heart disease (events)
– fatal, non-fatal, both
21. • Clearly formulated question
• Comprehensive data search
• Unbiased selection and abstraction
process
• Critical appraisal of data
• Synthesis of data
• Perform sensitivity and subgroup
analyses if appropriate and possible
• Prepare a structured report
Steps of a Cochrane Systematic
Review
22. Search Strategy
• Electronic Search of:
– MEDLINE (1966 to May 2000)
– Current Contents (to May 2000)
• Other Data Sources:
– review of references cited in retrieved articles
23. • Clearly formulated question
• Comprehensive data search
• Unbiased selection and abstraction
process
• Critical appraisal of data
• Synthesis of data
• Perform sensitivity and subgroup
analyses if appropriate and possible
• Prepare a structured report
Steps of a Cochrane Systematic
Review
24. Data Extraction
• 2 independent reviewers selected trials
• 2 independent reviewers extracted data using
pre-determined forms
– study design
– population characteristics
– exposure to implants
– outcomes measures
– results
• differences resolved by consensus
26. Quantification of Effects
• Exposure (ever, current, past)
• Outcome (fatal, non-fatal, both)
• Effect estimates (EE)
• Relative Risk (RR)
• Odds Ratio (OR)
• Adjusted effect estimates
• Effects vs population, follow-up periods,
etc. (homogeneity)
27. • Clearly formulated question
• Comprehensive data search
• Unbiased selection and abstraction
process
• Critical appraisal of data
• Synthesis of data
• Perform sensitivity and subgroup
analyses if appropriate and possible
• Prepare a structured report
Steps of a Cochrane Systematic
Review
39. The Newcastle-Ottawa Scale (NOS)
for Assessing the Quality of
Nonrandomized Studies in Meta-
Analysis
www.lri.ca
NOS Quality Assessment Scales:
Case-control studies
Cohort studies
Manual for NOS Scales