Evidence Synthesis for Clinical Decisions

This module introduces the concept of knowledge synthesis and the knowledge-to-action process in healthcare research. Students will learn about the benefits and limitations of systematic reviews, understand the step-by-step methodology for conducting a systematic review, and explore different levels of evidence in medical research.

This module focuses on effective literature search techniques for systematic reviews. Students will learn how to search for both published and unpublished materials on topics of interest in a systematic and reproducible manner, developing skills in database navigation, search strategy formulation, and evidence management.

This module covers the methodological aspects of conducting intervention reviews. Students will learn techniques for selecting and appraising studies, strategies for collecting and analyzing data, and approaches for reporting and updating systematic reviews, with emphasis on maintaining methodological rigor throughout the process.

This module examines methods for synthesizing data from clinical trials through direct comparisons. Students will learn about qualitative and quantitative synthesis approaches, statistical models for data analysis, the concept of heterogeneity in meta-analysis, and appropriate methods for reporting meta-analysis results.

This module explores advanced meta-analysis techniques involving indirect comparisons. Students will understand methods for conducting indirect comparisons when direct evidence is limited, learn how to develop and interpret evidence networks, and recognize effect modifiers as potential sources of bias in comparative analyses.

This module addresses the challenges and approaches to meta-analysis of non-randomized studies. Students will learn about risks of bias specific to non-randomized studies, understand meta-regression as a tool to reduce bias, recognize the limitations of meta-regression, and learn appropriate methods for reporting meta-analyses of non-randomized studies.

This module covers methods for evaluating diagnostic tests in healthcare. Students will learn about the various purposes of medical testing, understand concepts of precision and accuracy, explore measures of validity for diagnostic and screening tests, and utilize likelihood ratios and ROC curves for analyzing test performance.

This module focuses on qualitative research synthesis techniques. Students will learn methods for collecting and synthesizing qualitative data from multiple studies, understand approaches for integrating findings across qualitative research, and learn appropriate ways to report meta-synthesis findings.

This module examines the development and application of clinical practice guidelines. Students will understand the process of guideline development, learn how evidence is evaluated for guideline creation, and explore methods for evaluating and revising existing clinical practice guidelines to reflect current best practices.

This module introduces economic evaluation in healthcare decision-making. Students will learn about clinical decision analysis and economic evaluation methods, understand different types of costs and methods for economic assessment, explore cost-effectiveness and cost analysis approaches, and follow the steps for conducting comprehensive economic evaluations.

This module covers decision analysis modeling in healthcare outcomes research. Students will learn about decision analysis and various modeling approaches, with emphasis on Markov modeling, understand methods for capturing uncertainty in models, and examine real-world examples of decision modeling in cancer outcomes research.