For a typical intervention review including quantitative data, standard effect measures will need to be chosen to compare studies. The next step usually involves determining whether statistical synthesis is possible and appropriate. This step entails determining whether the studies are sufficiently homogenous regarding clinical aspects, methodological characteristics, and statistical characteristics. Clinical and methodological heterogeneity are explored using clinical and methodological insight. Statistical heterogeneity is examined by visualizing the range of point estimates and 95% confidence intervals presented in forest plots and by calculating the I2 statistic and/or Cochran Q, which determines if the results from each study are more different from each other than one would expect due to chance alone.
- Buy the book
- Table of Contents
- Summarized book content
- Introduction to Knowledge Translation
- Knowledge Creation
- Knowledge Synthesis
- The Review Team
- Formulating the Question, Eligibility Criteria, and Protocol
- Finding Relevant Studies
- Selecting Studies for Inclusion
- Assessing Risk of Bias of Included Studies
- Extracting Data from the Individual Studies
- Analyzing the Data
- Presenting the Results of the Review
- Interpreting the Results
- Disseminating the Results of the Review
- Increasing Uptake of Review Results
- Knowledge Translation Tools
- Knowledge Dissemination
- Knowledge Synthesis
- The Action Cycle
- Teaching Resources
- About the Authors