Course description
Certain: Knowledge Synthesis: Systematic Reviews and Clinical Decision Making
Discover practical ways to critically appraise scientific literature, including the conduction and interpretation of systematic reviews and meta-analyses. Additionally, you will learn how to conduct literature searches using online academic databases, hear about economic evaluations, and understand how clinical practice guidelines are used to guide decision making.
This course includes the following 11 lectures:
- Overview of Systematic Reviews
- Finding and Managing the Evidence from the Biomedical Literature
- Intervention Reviews Methodology
- Meta-Analysis of Clinical Trials: Direct Comparisons
- Introduction to Meta-Analysis: Indirect Comparisons
- Meta-Analysis of Non-Randomized Studies
- Diagnostic Test Evaluation
- Meta-Synthesis
- Clinical Practice Guidelines
- Economic Evaluation
- Decision Analysis for Outcomes Research
This course is intended for anyone interested in comparative effectiveness research (CER) and patient-centered outcomes research (PCOR) methods.
This course is supported by grant number R25HS023214 from the Agency for Healthcare Research and Quality.
Upcoming start dates
Who should attend?
Prerequisites
Introduction course (Certain.1x) recommended, but not required.
Training content
Overview of Systematic Reviews
- Knowledge synthesis and the knowledge-to-action process
- Benefits and limitations of systematic reviews
- Steps of a systematic review and levels of evidence
Finding and Managing the Evidence from the Biomedical Literature
- How to search published and unpublished materials on topic of interest in a systematic and repeatable manner
Intervention Reviews Methodology
- How to select and appraise studies
- Strategies for collecting and analyzing data
- How to report and update systematic reviews
Meta-Analysis of Clinical Trials: Direct Comparisons
- Qualitative and quantitative synthesis
- Models to use during data analysis
- Heterogeneity
- Reporting methods for meta-analyses
Introduction to Meta-Analysis: Indirect Comparisons
- Indirect comparisons
- Evidence networks
- Effect modifiers and how they are a source of bias
Meta-Analysis of Non-Randomized Studies
- Risks of bias in non-randomized studies
- Meta-regression as a tool to reduce risk of bias
- Caveats of meta-regression
- Reporting meta-analyses of non-randomized studies
Diagnostic Test Evaluation
- Purposes for medical testing
- Precision and accuracy
- Measures of validity for diagnostic/screening tests
- Likelihood ratio for analysis of test performance
- ROC curves for analysis of test performance
Meta-Synthesis
- Methods for collecting and synthesizing data
- Reporting of meta-synthesis findings
Clinical Practice Guidelines
- Process of guideline development
- How evidence is evaluated
- How clinical practice guidelines are evaluated and revised
Economic Evaluation
- Clinical decision analysis and economic evaluation
- Costs and methods for economic evaluation
- Cost-effectiveness and cost analysis
- Steps for economic evaluation
Decision Analysis for Outcomes Research
- Decision analysis and modeling
- Markov modeling
- Capturing of unCertainty in models
- Examples of decision modeling in cancer outcomes research
Course delivery details
This course is offered through The University of Texas MD Anderson Cancer Center in Houston, a partner institute of EdX.
4-5 hours per week
Costs
- Verified Track -$249
- Audit Track - Free
Certification / Credits
What you'll learn
- Conduct systematic reviews and meta-analyses using academic databases and interpret and report results
- Define strategies for critically appraising the literature
- Describe economic evaluation methods
- Describe how decisions can be made using clinical practice guidelines
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