This document discusses how to critically appraise a research article. It provides 10 questions to ask when appraising an article, including whether the study question is relevant, if the study design was appropriate, and if the data supports the conclusions. As an example, it summarizes a study that examined the relationship between serum cholesterol levels and exposure to violence in suicide attempters. The study addressed relevant questions, utilized an appropriate cohort study design, and its conclusions were reasonably supported by the collected data.
Critical appraisal is the process of carefully and systematically analyze the research paper to judge its trustworthiness, its value and relevance in a particular context. (Amanda Burls 2009)
A critical review must identify the strengths and limitations in a research paper and this should be carried out in a systematic manner.
The Critical Appraisal helps in developing the necessary skills to make sense of scientific evidence, based on validity, results and relevance.
Critical appraisal of a journal articleDrSahilKumar
This document provides guidance on critically appraising journal articles. It defines critical appraisal as systematically identifying the strengths and weaknesses of research to assess validity and usefulness. Key aspects to evaluate include relevance of the research question, appropriateness of study design, addressing biases, adherence to original protocol, statistical analyses, and conflicts of interest. Checklists like CASP, CONSORT, and STROBE provide frameworks to appraise study methodologies like randomized trials, systematic reviews, and observational studies. The goal of critical appraisal is for clinicians to identify high-quality evidence to inform clinical practice.
This document discusses critical appraisal of published medical research. It notes that thousands of new medical articles are published daily, making it difficult for clinicians to keep up-to-date. Critical appraisal involves assessing the validity, reliability, and applicability of a study rather than just dismissing it or looking only at the results. Key aspects of critical appraisal include describing the evidence, assessing internal validity by examining potential biases and confounding factors, evaluating external validity and whether results can apply to other populations, and comparing results to other evidence. The document provides guidance on how to critically appraise studies and lists resources for further information.
Randomized controlled trial: Going for the GoldGaurav Kamboj
Dr. Gaurav Kamboj's document discusses the hierarchy of evidence and research designs. It provides background on the history of randomization in research from its first use in 1747 to establish the gold standard of randomized controlled trials (RCTs). The document describes the basic design of RCTs and different types of RCT study designs including parallel, crossover, factorial, and cluster designs. It outlines the basic steps to conduct an RCT including developing a protocol, selecting study populations, random allocation of subjects, intervention/manipulation, follow-up, and outcome assessment.
Overview of systematic review and meta analysisDrsnehas2
Systematic reviews and meta-analyses aim to summarize research evidence on a topic. This document provides an overview of how to conduct systematic reviews and meta-analyses, including formulating a question, identifying relevant studies, extracting data, assessing bias, synthesizing data through meta-analysis if appropriate, interpreting results, and updating reviews. Key steps involve developing eligibility criteria, searching multiple databases, assessing risk of bias, addressing heterogeneity, and evaluating for publication bias. Conducting reviews using standardized methods helps provide reliable conclusions to inform clinical practice and policy-making.
A systematic review is a rigorous analysis of published research on a focused question that collects and summarizes the evidence. It contrasts with an overview, which may include non-research articles and be influenced by other evidence. Meta-analysis uses statistical methods to combine results from multiple studies. To ensure validity, meta-analyses must have a well-defined methodology, including comprehensive searches and duplicate screening and data extraction to reduce bias. Important factors include assessing whether all relevant studies were found and the sources searched, as well as controlling for biases such as from selective data extraction or funding influences.
Introduction to meta-analysis (1612_MA_workshop)Ahmed Negida
This document provides an overview of a meta-analysis workshop. It will introduce descriptive and inferential statistics, the concept of meta-analysis, and meta-analysis software and models. The workshop covers new topics like quality effects meta-analysis, heterogeneity models, and assessment of publication bias. It explains that simply averaging study results is incorrect, and meta-analysis statistically combines studies while weighting them by size and power to provide a single pooled effect estimate. Meta-analysis has advantages like larger power but must address heterogeneity and differences between studies.
Critical appraisal is the process of carefully and systematically analyze the research paper to judge its trustworthiness, its value and relevance in a particular context. (Amanda Burls 2009)
A critical review must identify the strengths and limitations in a research paper and this should be carried out in a systematic manner.
The Critical Appraisal helps in developing the necessary skills to make sense of scientific evidence, based on validity, results and relevance.
Critical appraisal of a journal articleDrSahilKumar
This document provides guidance on critically appraising journal articles. It defines critical appraisal as systematically identifying the strengths and weaknesses of research to assess validity and usefulness. Key aspects to evaluate include relevance of the research question, appropriateness of study design, addressing biases, adherence to original protocol, statistical analyses, and conflicts of interest. Checklists like CASP, CONSORT, and STROBE provide frameworks to appraise study methodologies like randomized trials, systematic reviews, and observational studies. The goal of critical appraisal is for clinicians to identify high-quality evidence to inform clinical practice.
This document discusses critical appraisal of published medical research. It notes that thousands of new medical articles are published daily, making it difficult for clinicians to keep up-to-date. Critical appraisal involves assessing the validity, reliability, and applicability of a study rather than just dismissing it or looking only at the results. Key aspects of critical appraisal include describing the evidence, assessing internal validity by examining potential biases and confounding factors, evaluating external validity and whether results can apply to other populations, and comparing results to other evidence. The document provides guidance on how to critically appraise studies and lists resources for further information.
Randomized controlled trial: Going for the GoldGaurav Kamboj
Dr. Gaurav Kamboj's document discusses the hierarchy of evidence and research designs. It provides background on the history of randomization in research from its first use in 1747 to establish the gold standard of randomized controlled trials (RCTs). The document describes the basic design of RCTs and different types of RCT study designs including parallel, crossover, factorial, and cluster designs. It outlines the basic steps to conduct an RCT including developing a protocol, selecting study populations, random allocation of subjects, intervention/manipulation, follow-up, and outcome assessment.
Overview of systematic review and meta analysisDrsnehas2
Systematic reviews and meta-analyses aim to summarize research evidence on a topic. This document provides an overview of how to conduct systematic reviews and meta-analyses, including formulating a question, identifying relevant studies, extracting data, assessing bias, synthesizing data through meta-analysis if appropriate, interpreting results, and updating reviews. Key steps involve developing eligibility criteria, searching multiple databases, assessing risk of bias, addressing heterogeneity, and evaluating for publication bias. Conducting reviews using standardized methods helps provide reliable conclusions to inform clinical practice and policy-making.
A systematic review is a rigorous analysis of published research on a focused question that collects and summarizes the evidence. It contrasts with an overview, which may include non-research articles and be influenced by other evidence. Meta-analysis uses statistical methods to combine results from multiple studies. To ensure validity, meta-analyses must have a well-defined methodology, including comprehensive searches and duplicate screening and data extraction to reduce bias. Important factors include assessing whether all relevant studies were found and the sources searched, as well as controlling for biases such as from selective data extraction or funding influences.
Introduction to meta-analysis (1612_MA_workshop)Ahmed Negida
This document provides an overview of a meta-analysis workshop. It will introduce descriptive and inferential statistics, the concept of meta-analysis, and meta-analysis software and models. The workshop covers new topics like quality effects meta-analysis, heterogeneity models, and assessment of publication bias. It explains that simply averaging study results is incorrect, and meta-analysis statistically combines studies while weighting them by size and power to provide a single pooled effect estimate. Meta-analysis has advantages like larger power but must address heterogeneity and differences between studies.
This document provides an overview of evidence-based medicine and how to critically appraise clinical papers. It discusses how evidence-based medicine involves using both clinical expertise and the best available external evidence in decision making. The origins of evidence-based medicine in the 1970s and 1990s are also reviewed. The document then focuses on how to critically read clinical papers, including the key things to assess for diagnostic tests, clinical course/prognosis, causation, and therapy papers. It provides guidance on an appraisal format and emphasizes the need to both evaluate the study and summarize what it was about. Evidence-based medicine is positioned as an important guide but not a replacement for clinical expertise and judgment.
1. A meta-analysis systematically combines data from multiple studies to identify patterns among study results, increase statistical power, and resolve uncertainties in areas where individual studies may be too narrow.
2. Key steps include defining the question, reviewing literature and extracting data, computing effect sizes, determining average effect sizes and confidence intervals, and looking for associations that may explain variability among studies.
3. Factors like study quality and publication bias must be considered, as missing or unpublished studies could change conclusions. Meta-analyses aim to synthesize evidence from diverse studies and elucidate general patterns.
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.
Meta-analysis is a statistical technique used to synthesize the results of multiple scientific studies. It provides a high-level overview of the key steps in conducting a meta-analysis, which include: formulating the research question, performing a literature search and selecting studies based on eligibility criteria, extracting relevant data from the studies, using statistical methods like fixed or random effects models to calculate an overall effect, and conducting sensitivity analyses to evaluate the robustness of the results. Meta-analysis allows researchers to obtain a better understanding of how an intervention works by combining results from several studies while accounting for variability between the studies.
This document discusses different types of error and bias that can occur in epidemiological studies. It defines random error as occurring due to chance and resulting in imprecise measures, while systematic error or bias results in invalid measures that are not true. Types of bias discussed include selection bias, information bias, and confounding. Selection bias can arise from how cases and controls are selected, while information bias occurs when exposure or disease status is incorrectly classified. The document emphasizes the importance of reducing both random and systematic errors to obtain valid study results.
Systematic and random errors can affect epidemiological studies. Random errors are due to chance and include individual biological variation, measurement error, and sampling error. Systematic errors, also called biases, are non-random and can distort study results. Selection bias occurs if study groups differ in characteristics unrelated to exposure that influence outcomes. Measurement bias happens if exposures or diseases are inaccurately classified. Confounding is present when a third factor is associated with both the exposure and outcome under investigation. Careful study design and analysis techniques can help reduce biases and errors to obtain more accurate results.
Randomized controlled trials (RCTs) are considered the gold standard for clinical research. An RCT involves randomly assigning participants into experimental and control groups to receive different interventions. Randomization aims to make the groups comparable to limit bias. It reduces the influence of unknown factors and ensures the only difference between groups is the intervention being tested. RCTs can be single blind, double blind, or triple blind depending on who is aware of group assignments. They provide the most powerful and least biased assessments of clinical interventions.
A nested case control study examines the relationship between risk factors and outcomes by sampling cases and controls from within a larger cohort study. For example, a study identified 150 women who developed breast cancer during follow-up of a cohort of over 57,000 females and matched them to 150 women from the cohort who did not develop cancer. Serum samples collected at the start of the cohort study were then used to compare organochloride levels between the cancer and control groups in a more efficient manner than testing all cohort members. Key advantages include efficiency, flexibility, and reduced bias, though power is decreased due to the smaller sample size.
Critical appraisal is the process of carefully examining research to judge its validity, relevance, and applicability. It is important to ensure research findings are valid and applicable to one's own population before incorporating them into clinical practice. While research is peer-reviewed, critical appraisal is still needed to avoid misinterpreting results. When critically appraising research, one should examine aspects like the research question, methodology, results, discussion and conclusions to determine the overall quality and implications. Checklists exist to standardize the critical appraisal of different study designs.
This document discusses case-control studies. It begins with an introduction and definition of case-control studies. It then covers the basic steps in conducting a case-control study, including estimating sample size, measures of association, and potential biases. Key points include that case-control studies are retrospective and compare exposures between cases and controls to determine associations with outcomes. Odds ratios are commonly used to measure associations while potential biases include recall and selection biases.
1) A systematic review follows a strict methodology to identify and analyze relevant research on a focused question.
2) The process involves developing a protocol, searching multiple databases, screening studies, assessing bias, and synthesizing data.
3) Reporting guidelines like PRISMA ensure transparency and consistency in reporting systematic reviews.
Systematic reviews and meta-analyses aim to summarize all available evidence on a topic. A systematic review collects and analyzes results from relevant studies, while a meta-analysis uses statistical methods to combine results into a pooled estimate. Meta-analyses can determine if an effect exists and its direction, but are subject to biases from unpublished or missing studies. They provide more reliable conclusions than individual studies but also have limitations like heterogeneity between studies.
Introduction to Systematic Review & Meta-Analysis Hasanain Ghazi
The document discusses systematic reviews and meta-analyses. It defines systematic reviews as a summary of available healthcare studies that provides high-level evidence on healthcare interventions. Meta-analyses use statistical methods to quantitatively summarize results across multiple studies. The document outlines the steps in conducting systematic reviews, including developing a protocol, searching for evidence, assessing risk of bias, and synthesizing findings. It also discusses how meta-analyses can help determine the strength and consistency of effects across studies.
This document provides an overview of various clinical trial reporting guidelines developed by the EQUATOR Network, including CONSORT for randomized controlled trials, STROBE for observational studies, PRISMA for systematic reviews/meta-analyses, and ARRIVE and CARE for animal and case studies respectively. It discusses the goals of the EQUATOR Network, describes the development and components of these guidelines, and reviews evidence on their impact in improving the quality and transparency of research reporting over time, though adoption remains incomplete.
This document discusses cross-sectional studies, which measure exposure and health outcomes at the same point in time. It notes that cross-sectional studies can be descriptive, providing prevalence rates, or analytic, examining associations between exposures and outcomes. While able to generate hypotheses, cross-sectional studies cannot determine causation due to their inability to assess temporal relationships. The document also briefly touches on case reports and case series, which lack control groups for formally assessing relationships.
This document provides an overview of critical appraisal of randomized controlled trials (RCTs). It defines critical appraisal as carefully examining research to assess its trustworthiness and relevance. RCTs are described as the gold standard for clinical trials, where participants are randomly allocated to groups that receive either a treatment or a control. Key factors to examine in appraising an RCT are described, including sample size, eligibility criteria, baseline characteristics, randomization, blinding, follow-up of participants, data collection, presentation of results, and applicability to local populations. Advantages of critical appraisal and RCTs include providing a systematic way to assess research validity and improving practice, while disadvantages include taking time and not always finding clear answers.
This document describes different types of epidemiological study designs, including observational studies like cross-sectional, case-control, cohort, and experimental studies like randomized controlled trials. It provides details on descriptive versus analytical epidemiology and cross-sectional studies specifically. Cross-sectional studies measure prevalence at a single point in time by surveying exposures and disease status simultaneously in a population cross-section. They are useful for assessing disease burden, comparing prevalence between populations, and examining trends over time.
This document discusses various types of epidemiological study designs. It describes observational studies like case studies, case series, cross-sectional studies and ecological studies which are descriptive in nature. Analytical observational studies include case-control and cohort studies. Experimental studies involve intervention and comparison groups like randomized controlled trials. The stages of epidemiological investigations are also outlined, from the diagnostic and descriptive phases to the analytical, intervention, decision-making and monitoring phases. Common epidemiological terms like relative risk, odds ratio and attributable risk are defined.
CONCEPTUALIZATION AND PLANNING RESEARCH.pptxRuthJoshila
This document discusses the conceptual phase and design/planning phase of quantitative research. It covers developing a research problem by selecting and narrowing a topic, evaluating problems based on significance, researchability and feasibility. It also discusses formulating a final research problem statement. The conceptual phase also involves reviewing related literature and defining a theoretical framework. Developing hypotheses is also covered. The design/planning phase involves selecting a research design such as experimental, quasi-experimental, or pre-experimental designs. Key methodological decisions are made to ensure validity and credibility of study findings.
This document discusses research methodology and how it can be applied to homeopathy. It defines different types of study designs including observational studies, treatment studies, randomized controlled trials, and meta-analyses. It explains how to apply these research methodologies to homeopathy through drug provings, clinical research studies, and disease-related studies while respecting homeopathic principles. Randomized controlled trials and meta-analyses are important for providing evidence but must be designed carefully to fit within homeopathic individualization and philosophy.
This document provides an overview of evidence-based medicine and how to critically appraise clinical papers. It discusses how evidence-based medicine involves using both clinical expertise and the best available external evidence in decision making. The origins of evidence-based medicine in the 1970s and 1990s are also reviewed. The document then focuses on how to critically read clinical papers, including the key things to assess for diagnostic tests, clinical course/prognosis, causation, and therapy papers. It provides guidance on an appraisal format and emphasizes the need to both evaluate the study and summarize what it was about. Evidence-based medicine is positioned as an important guide but not a replacement for clinical expertise and judgment.
1. A meta-analysis systematically combines data from multiple studies to identify patterns among study results, increase statistical power, and resolve uncertainties in areas where individual studies may be too narrow.
2. Key steps include defining the question, reviewing literature and extracting data, computing effect sizes, determining average effect sizes and confidence intervals, and looking for associations that may explain variability among studies.
3. Factors like study quality and publication bias must be considered, as missing or unpublished studies could change conclusions. Meta-analyses aim to synthesize evidence from diverse studies and elucidate general patterns.
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.
Meta-analysis is a statistical technique used to synthesize the results of multiple scientific studies. It provides a high-level overview of the key steps in conducting a meta-analysis, which include: formulating the research question, performing a literature search and selecting studies based on eligibility criteria, extracting relevant data from the studies, using statistical methods like fixed or random effects models to calculate an overall effect, and conducting sensitivity analyses to evaluate the robustness of the results. Meta-analysis allows researchers to obtain a better understanding of how an intervention works by combining results from several studies while accounting for variability between the studies.
This document discusses different types of error and bias that can occur in epidemiological studies. It defines random error as occurring due to chance and resulting in imprecise measures, while systematic error or bias results in invalid measures that are not true. Types of bias discussed include selection bias, information bias, and confounding. Selection bias can arise from how cases and controls are selected, while information bias occurs when exposure or disease status is incorrectly classified. The document emphasizes the importance of reducing both random and systematic errors to obtain valid study results.
Systematic and random errors can affect epidemiological studies. Random errors are due to chance and include individual biological variation, measurement error, and sampling error. Systematic errors, also called biases, are non-random and can distort study results. Selection bias occurs if study groups differ in characteristics unrelated to exposure that influence outcomes. Measurement bias happens if exposures or diseases are inaccurately classified. Confounding is present when a third factor is associated with both the exposure and outcome under investigation. Careful study design and analysis techniques can help reduce biases and errors to obtain more accurate results.
Randomized controlled trials (RCTs) are considered the gold standard for clinical research. An RCT involves randomly assigning participants into experimental and control groups to receive different interventions. Randomization aims to make the groups comparable to limit bias. It reduces the influence of unknown factors and ensures the only difference between groups is the intervention being tested. RCTs can be single blind, double blind, or triple blind depending on who is aware of group assignments. They provide the most powerful and least biased assessments of clinical interventions.
A nested case control study examines the relationship between risk factors and outcomes by sampling cases and controls from within a larger cohort study. For example, a study identified 150 women who developed breast cancer during follow-up of a cohort of over 57,000 females and matched them to 150 women from the cohort who did not develop cancer. Serum samples collected at the start of the cohort study were then used to compare organochloride levels between the cancer and control groups in a more efficient manner than testing all cohort members. Key advantages include efficiency, flexibility, and reduced bias, though power is decreased due to the smaller sample size.
Critical appraisal is the process of carefully examining research to judge its validity, relevance, and applicability. It is important to ensure research findings are valid and applicable to one's own population before incorporating them into clinical practice. While research is peer-reviewed, critical appraisal is still needed to avoid misinterpreting results. When critically appraising research, one should examine aspects like the research question, methodology, results, discussion and conclusions to determine the overall quality and implications. Checklists exist to standardize the critical appraisal of different study designs.
This document discusses case-control studies. It begins with an introduction and definition of case-control studies. It then covers the basic steps in conducting a case-control study, including estimating sample size, measures of association, and potential biases. Key points include that case-control studies are retrospective and compare exposures between cases and controls to determine associations with outcomes. Odds ratios are commonly used to measure associations while potential biases include recall and selection biases.
1) A systematic review follows a strict methodology to identify and analyze relevant research on a focused question.
2) The process involves developing a protocol, searching multiple databases, screening studies, assessing bias, and synthesizing data.
3) Reporting guidelines like PRISMA ensure transparency and consistency in reporting systematic reviews.
Systematic reviews and meta-analyses aim to summarize all available evidence on a topic. A systematic review collects and analyzes results from relevant studies, while a meta-analysis uses statistical methods to combine results into a pooled estimate. Meta-analyses can determine if an effect exists and its direction, but are subject to biases from unpublished or missing studies. They provide more reliable conclusions than individual studies but also have limitations like heterogeneity between studies.
Introduction to Systematic Review & Meta-Analysis Hasanain Ghazi
The document discusses systematic reviews and meta-analyses. It defines systematic reviews as a summary of available healthcare studies that provides high-level evidence on healthcare interventions. Meta-analyses use statistical methods to quantitatively summarize results across multiple studies. The document outlines the steps in conducting systematic reviews, including developing a protocol, searching for evidence, assessing risk of bias, and synthesizing findings. It also discusses how meta-analyses can help determine the strength and consistency of effects across studies.
This document provides an overview of various clinical trial reporting guidelines developed by the EQUATOR Network, including CONSORT for randomized controlled trials, STROBE for observational studies, PRISMA for systematic reviews/meta-analyses, and ARRIVE and CARE for animal and case studies respectively. It discusses the goals of the EQUATOR Network, describes the development and components of these guidelines, and reviews evidence on their impact in improving the quality and transparency of research reporting over time, though adoption remains incomplete.
This document discusses cross-sectional studies, which measure exposure and health outcomes at the same point in time. It notes that cross-sectional studies can be descriptive, providing prevalence rates, or analytic, examining associations between exposures and outcomes. While able to generate hypotheses, cross-sectional studies cannot determine causation due to their inability to assess temporal relationships. The document also briefly touches on case reports and case series, which lack control groups for formally assessing relationships.
This document provides an overview of critical appraisal of randomized controlled trials (RCTs). It defines critical appraisal as carefully examining research to assess its trustworthiness and relevance. RCTs are described as the gold standard for clinical trials, where participants are randomly allocated to groups that receive either a treatment or a control. Key factors to examine in appraising an RCT are described, including sample size, eligibility criteria, baseline characteristics, randomization, blinding, follow-up of participants, data collection, presentation of results, and applicability to local populations. Advantages of critical appraisal and RCTs include providing a systematic way to assess research validity and improving practice, while disadvantages include taking time and not always finding clear answers.
This document describes different types of epidemiological study designs, including observational studies like cross-sectional, case-control, cohort, and experimental studies like randomized controlled trials. It provides details on descriptive versus analytical epidemiology and cross-sectional studies specifically. Cross-sectional studies measure prevalence at a single point in time by surveying exposures and disease status simultaneously in a population cross-section. They are useful for assessing disease burden, comparing prevalence between populations, and examining trends over time.
This document discusses various types of epidemiological study designs. It describes observational studies like case studies, case series, cross-sectional studies and ecological studies which are descriptive in nature. Analytical observational studies include case-control and cohort studies. Experimental studies involve intervention and comparison groups like randomized controlled trials. The stages of epidemiological investigations are also outlined, from the diagnostic and descriptive phases to the analytical, intervention, decision-making and monitoring phases. Common epidemiological terms like relative risk, odds ratio and attributable risk are defined.
CONCEPTUALIZATION AND PLANNING RESEARCH.pptxRuthJoshila
This document discusses the conceptual phase and design/planning phase of quantitative research. It covers developing a research problem by selecting and narrowing a topic, evaluating problems based on significance, researchability and feasibility. It also discusses formulating a final research problem statement. The conceptual phase also involves reviewing related literature and defining a theoretical framework. Developing hypotheses is also covered. The design/planning phase involves selecting a research design such as experimental, quasi-experimental, or pre-experimental designs. Key methodological decisions are made to ensure validity and credibility of study findings.
This document discusses research methodology and how it can be applied to homeopathy. It defines different types of study designs including observational studies, treatment studies, randomized controlled trials, and meta-analyses. It explains how to apply these research methodologies to homeopathy through drug provings, clinical research studies, and disease-related studies while respecting homeopathic principles. Randomized controlled trials and meta-analyses are important for providing evidence but must be designed carefully to fit within homeopathic individualization and philosophy.
This document discusses research methodology and how it can be applied to homeopathy. It defines different types of study designs including observational studies, treatment studies, randomized controlled trials, and meta-analyses. It explains how to apply research methodologies like randomized controlled trials and meta-analyses to homeopathic drug provings and clinical research while respecting homeopathic principles. Clinical research in homeopathy should involve screening and confirming diagnoses, individualized case taking and prescribing for all patients regardless of group allocation in a blinded manner.
Use the Capella library to locate two psychology research articles.docxdickonsondorris
Use the Capella library to locate two psychology research articles: a quantitative methods article and a qualitative methods article. These do not need to be on the same topic, but if you have a research topic in mind for your proposal (see Assessment 5), you may wish to pick something similar for this assessment. Read each article carefully.
Then, in a 2–3-page assessment, address the following elements:
1 Summarize the research question and hypothesis, the research methods, and the overall findings.
2 Compare the research methodologies used in each study. In what ways are the methodologies similar? In what ways are they different? (Be sure to use the technical psychological terms we are studying.)
3 Describe the sample and sample size for each study. Which one used a larger sample and why? How were participants selected?
4 Describe the data collection process for each study. What methods were used to collect the data? Surveys? Observations? Interviews? Be specific and discuss the instruments or measures fully—what do they measure? How is the test designed?
5 Summarize the data analysis process for each study. How was the data analyzed? Were statistics used? Were interviews coded?
6 In conclusion, craft 1–2 paragraphs explaining how these two articles illustrate the main differences between quantitative and qualitative research.
Additional Requirements
· Written communication: Written communication should be free of errors that detract from the overall message.
· APA formatting: Your assessment should be formatted according to APA (6th ed.) style and formatting.
· Length: A typical response will be 2–3 typed and double-spaced pages.
Font and font size: Times New Roman, 12 point.
Research Methods
There are many different types of research studies, and the type of study that is done depends very much on the research question. Some studies demand strictly numerical data, such as a comparison of GPA among different college majors or weight loss among different types of eating programs. Others require more in-depth data, like interview responses. Such studies might include the lived experience of people that have been through a terrorist attack or understanding the experience of being physically disabled on a college campus. While there are a number of different types of studies that can be done, all of them fall under two basic categories: quantitative and qualitative.
Quantitative Research
Quantitative research deals with numerical data. This means that any topic you study in a quantitative study must be quantifiable—grades, weight, height, depression, and intelligence are all things that can be quantified on some scale of measurement. Quantitative data is often considered hard data—numbers are seen as concrete, irrefutable evidence, but we have to take into account a number of factors that could impact such data. Errors in measurement and recording of such data, as well as the influence of other factors outside those in the study, make for ...
This document provides an overview of research methodology in dentistry. It defines research and describes the various steps in the research process, including formulating a research problem/question and hypothesis, study design types, sampling methods, outcome measures, and statistical analysis. Ethical considerations in research involving human subjects are also discussed. The hierarchy of evidence is explained, with randomized controlled trials and systematic reviews considered the strongest levels of evidence.
This document provides an overview of research methodology in dentistry. It defines research and describes the various steps, including formulating a research problem or question, developing a hypothesis, different study designs (observational and experimental), types of experimental designs, controls, blinding, and writing a report. Observational designs include correlational studies, case reports, cross-sectional studies, case-control studies, cohort studies, and ecological studies. Experimental designs include randomized controlled trials.
This document provides an overview of critical appraisal and how to appraise a cohort study. It discusses the key elements of cohort studies, including their use in identifying environmental and lifestyle factors that influence health outcomes. The document also provides a sample cohort study paper and the CASP checklist for appraising cohort studies. It addresses appraising elements like selection of study participants, measurement of exposures, follow-up, and consideration of confounding factors.
TYPES OF RESEARCHESAND ITS IMPORTANCE IN PHYSIOTHERAPYQURATULAIN MUGHAL
This document defines and describes different types of research methods, including:
- Applied research, which seeks to solve practical problems rather than acquire knowledge for its own sake.
- Basic research, which is driven by scientific curiosity to expand knowledge without a direct commercial application.
- Correlational research, which investigates statistical relationships between two or more variables without determining cause and effect.
- Descriptive research, which provides an accurate portrayal of characteristics, situations, or groups through statistical analysis.
The document also covers qualitative research methods like ethnographic research, grounded theory research, historical research, and phenomenological research. It concludes by distinguishing between qualitative and quantitative research approaches.
How To Read A Medical Paper: Part 2, Assessing the Methodological QualityDrLukeKane
This document outlines five essential questions to ask when assessing the methodological quality of papers: 1) Was the study original? 2) Whom is the study about? 3) Was the design of the study sensible? 4) Was systematic bias avoided or minimized? 5) Was the study large enough and long enough to make the results credible? It discusses factors to consider for each question when evaluating a study's methods section such as sample size, duration of follow up, and completeness of follow up.
This document provides an overview of important considerations for designing a successful clinical research study. It discusses how to begin by defining research questions and assessing feasibility. It then covers common study design types including experimental, observational, descriptive, and analytical designs. Examples are given of randomized clinical trials, cohort studies, cross-sectional studies, and case-control studies that could be used to study the relationship between hormone therapy and coronary heart disease. Statistical issues like sample size calculations and analytic approaches are also highlighted.
This document provides an introduction to critical appraisal. It defines critical appraisal as systematically weighing the quality and relevance of research to inform decision making. The document outlines different types of research studies including systematic reviews, randomized controlled trials, cohort studies, and case-control studies. It discusses how to critically appraise studies by assessing their validity, results, and relevance. Key aspects of appraising randomized controlled trials are described such as randomization, blinding, accounting for all participants, and interpreting results including p-values and confidence intervals. The goal is to help readers gain skills to critically evaluate research.
The document provides an overview of research methodology. It defines key terminology related to research such as population, sample, variables, and statistics. It discusses different types of research designs including observational studies like cross-sectional and case-control studies as well as experimental designs like randomized clinical trials. The document also covers topics like formulating research questions and hypotheses, sampling methods, levels of evidence in clinical research, and the various steps involved in the research process from data collection to interpretation and reporting of findings.
This document discusses different types of observational studies and experimental trials used in research methodology. It defines observational studies as those that involve collecting data without intervening or altering the course of events. The main types of observational studies covered are case-control studies, cohort studies, cross-sectional studies, and ecological studies. Experimental trials involve manipulating a variable and measuring the effects. Randomized controlled trials are described as the gold standard for determining causation. Key aspects of randomized controlled trial design and methodology are outlined.
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Research design involves decisions about how to collect and analyze data to answer research questions or solve problems. There are two main types of research design: observational studies and experimental studies. Observational studies observe naturally occurring events without intervention, while experimental studies involve deliberate human intervention to change the course of events. Common research designs include descriptive studies, analytical studies, case-control studies, cohort studies, cross-sectional studies, and randomized controlled trials. Research design aims to ensure valid, unbiased conclusions through careful planning of study type, variables, data collection, and statistical analysis.
This document provides guidance on formulating a good research question. It discusses that a research question aims to explore an uncertainty and support an arguable thesis. Characteristics of a good research question include being focused, adding context to the problem, and guiding data collection. The document then outlines a FINERMAPS acronym for qualities of a strong research question and provides examples of different types of research questions. It also offers a step-by-step process for developing a research question and evaluating its clarity, focus, complexity, and feasibility. The document concludes by contrasting research questions and hypotheses.
184 Deutsches Ärzteblatt International⏐⏐Dtsch Arztebl Int 2009.docxhyacinthshackley2629
184 Deutsches Ärzteblatt International⏐⏐Dtsch Arztebl Int 2009; 106(11): 184–9
M E D I C I N E
M edical research studies can be split into fivephases—planning, performance, documenta-
tion, analysis, and publication (1, 2). Aside from finan-
cial, organizational, logistical and personnel questions,
scientific study design is the most important aspect of
study planning. The significance of study design for
subsequent quality, the relability of the conclusions,
and the ability to publish a study are often underestimated
(1). Long before the volunteers are recruited, the study
design has set the points for fulfilling the study objec-
tives. In contrast to errors in the statistical evaluation,
errors in design cannot be corrected after the study has
been completed. This is why the study design must be
laid down carefully before starting and specified in the
study protocol.
The term "study design" is not used consistently in
the scientific literature. The term is often restricted to
the use of a suitable type of study. However, the term
can also mean the overall plan for all procedures in-
volved in the study. If a study is properly planned, the
factors which distort or bias the result of a test procedure
can be minimized (3, 4). We will use the term in a
comprehensive sense in the present article. This will
deal with the following six aspects of study design:
the question to be answered, the study population, the
type of study, the unit of analysis, the measuring tech-
nique, and the calculation of sample size—, on the
basis of selected articles from the international litera-
ture and our own expertise. This is intended to help
the reader to classify and evaluate the results in publi-
cations. Those who plan to perform their own studies
must occupy themselves intensively with the issue of
study design.
Question to be answered
The question to be answered by the research is of
decisive importance for study planning. The research
worker must be clear about the objectives. He must
think very carefully about the question(s) to be
answered by the study. This question must be opera-
tionalized, meaning that it must be converted into a
measurable and evaluable form. This demands an
adequate design and suitable measurement parameters.
A distinction must be made between the main questions
to be answered and secondary questions. The result of
the study should be that open questions are answered
R E V I E W A RT I C L E
Study Design in Medical Research
Part 2 of a Series on the Evaluation of Scientific Publications
Bernd Röhrig, Jean-Baptist du Prel, Maria Blettner
SUMMARY
Background: The scientific value and informativeness of
a medical study are determined to a major extent by the
study design. Errors in study design cannot be corrected
afterwards. Various aspects of study design are discussed
in this article.
Methods: Six essential considerations in the planning and
evaluation of medical research studies are presented and
discussed in the light.
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.
Similar to Critical appraisal presentation by mohamed taha 2 (20)
1. Critical
Appraisal
Presented by
How to critically MOHAMED TAHA appraise MOHAMED
an
Assistant lecturer of psychiatry
article?
Faculty of Medicine - Beni Suef University
2. WHAT IS CRITICAL
APPRAISAL??
▪ Critical appraisal is a systematic process used to
identify the strengths and weaknesses of a research
article in order to assess the usefulness and validity of
research findings.
▪ The most important components of a critical appraisal
are an evaluation of the appropriateness of the study
design for the research question and a careful
assessment of the key methodological features of this
design.
3. ▪ Selection and critical appraisal of
research literature
▪ 10 QUESTIONS TO ASK WHEN
CRITICALLY APPRAISING A
RESEARCH ARTICLE:
1-Is the study question relevant?
2-Does the study add anything new?
3-What type of research question is
being asked?
4-Was the study design appropriate
for the research question?
4. TEN QUESTIONS TO ASK WHEN
CRITICALLY APPRAISING A
RESEARCH ARTICLE: Cont.
5. Did the study methods address the most important sources of
bias?
6. Was the study performed according to the original protocol?
7. Does the study test a stated hypothesis?
8. Were the statistical analyses performed correctly?
9. Do the data justify the conclusions?
10. Are there any conflicts of interest?
5.
6. 1- Is the study question relevant?
▪ Even if a study is of the highest
methodological design… it is of little value
unless it addresses an important topic and
adds to what is already known about It.
▪ This is based on subjective opinion, as what
might be crucial to some will be irrelevant to
others.
7. 1- Is the study question relevant? Cont.
In this study:
The question was to determine The role of serum
cholesterol in the cycle of violence.
And to investigate association between
exposure to violence during childhood And
used adult violence in suicide attempters with
low and high serum cholesterol levels.
Which is considered relevant and crucial to
our field of work.
8. 2-Does the study add
anything new?
▪ Research papers that make a substantial
new contribution to knowledge are a
relative rarity.
▪ For example, a study might increase
confidence in the validity of previous
research by replicating its findings.
Or might enhance the ability to
generalize a study by extending the
original research findings to a new
population of patients.
9. 2-Does the study add anything new?
This study discussed a new subject ,role of serum
cholesterol in the cycle of violence . As was found that a
significant correlation between exposure to violence as a child and
expression of violence as an adult(i.e. cycle of violence),only in the
group with cholesterol levels below the median. Serum cholesterol may
thus modify the effect of the “cycle of violence” and might be of interest
as a biomarker concerning risk of expression of violence in traumatised
Individuals
& increased the confidence in the validity of previous
research by replicating its findings e.g. The link between
cholesterol and violence is hypothesised to be Mainly mediated through
alteration of serotonergic activity. Low Cholesterol is related to low
serotonin and, in turn, linked to violence, suicidal behaviour and
impulsivity ( Wallnerand Machatschke, 2009).
10. 3-What type of research question is being
asked?
▪ The most fundamental task of critical
appraisal is to identify the specific
research question; which will determine
the optimal study design.
11. 3-What type of research question is
being asked? Cont.
▪ A well-developed research question
usually identifies three
components:
1-The group of patients.
2-The studied parameter (e.g. a therapy,
clinical intervention, or a risk factor).
3-The outcomes of interest.
12. 3-What type of research
question is being asked? Cont.
In this study the research question identified the three
important components:
1-The group of patients: 81 patients with a recent suicide
attempt .
2-The studied parameter : Serum cholesterol level, the
exposure to and expression of interpersonal violence as a
child and as an adult .
3-The outcomes of interest: Serum cholesterol may thus modify the
effect of the “cycle of violence” and might be of interest as a biomarker
concerning risk of expression of violence in traumatised Individuals.
13. 4-Was the study
design appropriate
for the research
question?
14. -Studies that answer
questions about
effectiveness have a well-established
hierarchy of
study designs based on the
degree to which the design
protects against bias.
- RCTsprovide the
strongest evidence
followed by non RCT,
cohort studies,
case–control studies &
other observational study
designs .
15. 4-Was the study design appropriate for the
research question? Cont.
In this study :
▪ This study design is
considered appropriate for
the research question.
16. 4-Was the study design appropriate for the
research question? Cont.
Cohort, or longitudinal, studies involve following up two or
more groups of patients to observe who develops the
outcome of interest. Prospective cohort studies have been
likened to natural experiments, as outcomes are measured
in large groups of individuals over extended periods of time
in the real world. Cohort studies can also be performed
retrospectively; such studies usually involve identifying a
group of patients and following up their progress by
examining records that have been collected routinely or for
another purpose, such as medical data, death registry
records and hospital admission databases.
17.
18. Advantages of cohort
studies
▪ The temporal dimension, where by
exposure is seen to occur before outcome,
gives some indication of causality
▪ Can be used to study more than one
outcome
▪ Good for the study of rare exposures
▪ Can measure the change in exposure and
outcome over time
▪ Incidence of outcome can be measured
19. Disadvantages of cohort
studies
▪ Costly (less so for retrospective) and may take a long
time, particularly where onset of the outcome measure
can occur both early and late on in life
▪ Require accurate records for retrospective studies
▪ When studying rare outcomes, a very large sample size
is required
▪ Prone to dropout
▪ Changes in aetiology of disease over time may be hard
to disentangle from changes observed as age increases
▪ Selection bias: a difference in incidence of the outcome
of interest, between those who participated and those
who did not, would give biased results
20. 5. Did the study methods address
the most important potential
sources of bias?
In epidemiological terms:
▪ The presence of bias does not imply a preconception
on the part of the researcher, but rather means that
the results of a study have deviated from the truth.
▪ Bias can be attributed to chance (e.g. a random error)
or to the study methods (systematic bias).
▪ Random error does not influence the results but it
will affect the precision of the study.
21. 5. Did the study methods address the most
important potential sources of bias? cont.
▪ Key methodological points to
consider in the appraisal of a
Cohort, study .
Is the study prospective or
retrospective?
Is the cohort representative of a
defined group or population?
22. Key methodological points to consider in the appraisal
of a cross-sectional study. Cont.
▪ Were there important losses to follow-up?
Were all important confounding
factors identified?
23. 5. Did the study methods address the most
important potential sources of bias? Cont.
In this study
1- Is the study prospective or retrospective?
the study is retrospective .
2-Is the cohort representative of a defined group or
population?
Yes, study participants (81 patients )were
recruited among patients having recently com-mitted
a suicide attempt and having their
clinical follow-up at the Karolinska University
Hospital..
24. 5. Did the study methods address the most
important potential sources of bias? Cont.
3-Were all important confounding factors identified?
Not really;
Because of a small sample size ,leading to a limitation of
the amount of independent variables that could be used
and Relatively large age span might also some what
confound the results.
4-Were there important losses to follow-up?
there are no important losses to follow up.
25. 6. Was the study performed
according to the original protocol?
▪ One of the most common problems
encountered in clinical research is the
failure to recruit the planned number of
participants written in the protocol.
▪ Other differences to the protocol
include:
-changes to the inclusion and exclusion
criteria,
- or variations in the provided interventions
etc...
26. 6. Was the study performed according to
the original protocol?
▪ In this study:
The study protocols (Dnr 93-211) were
Approved by the Regional Ethical Review
Board in Stockholm, and all patients gave
their written informed consent before
inclusion in the study.
27. 7. Does the study test a stated hypothesis?
▪ A hypothesis is a clear statement of what the investigators
expect the study to find and is central to any research as it
states the research question in a form that can be tested and
refuted.
▪ In this study
There was a clear hypothesis stated.
28. 8. Were the statistical analyses
performed correctly?
▪ Assessing the appropriateness of statistical analyses can
be difficult for non-statisticians.
▪ Yet, research articles should include a segment within
their 'Method' section that explains the tools used in the
statistical analysis and the rationale for this approach.
▪ In this study:
▪ Group differences were computed with one-way ANOVA .
Tests of parametric correlations were performed using
Pearson0`s and non-parametric correlations using
Spearman`s.
29. 9. Do the data justify the conclusions?
▪ The next consideration is whether the conclusions presented
are reasonable on the basis of the accumulated data.
▪ Sometimes an overemphasis is placed on statistically
significant findings that invoke differences that are too small
to be of clinical value;
▪ Alternatively, some researchers might dismiss important
differences between groups that are not statistically
significant, often because sample sizes were small.
30. 9. Do the data justify
the conclusions?
▪ In this study
▪ The conclusions that the authors presented were
reasonable on the basis of the accumulated data:
▪ There is a significant correlation between expo-sure to
violence as a child and expression of violence as an adult(i.e.
cycle of violence),only in the group with cholesterol levels
below the median.
Serum cholesterol may thus modify the effect of the “cycle
of violence” and might be of interest as a biomarker
concerning risk of expression of violence in traumatised
individuals.
31. 10. Are there any
conflicts of interest?
▪ Conflicts of interest occur when personal
factors have the potential to influence
professional roles .
▪ In the process of critically appraising a
research article, one important step is to
check for a declaration about the source
of funding for the study.
32. 10. Are there any conflicts of interest?
▪ A main mechanism for
dealing with potential
conflicts of interest is open
disclosure.
In this study:
There was no declaration
about the source of
funding.
Editor's Notes
validity refers to whether a study is able to scientifically answer the questions it is intended to answer
It would go like: we expect to find that the severity of depression increase and that the academic achievement decrease as cellular phone dependence increases.