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Using indirect comparisons to compare interventions within a Cochrane review: a tool for comparative effectiveness
Maria Agapova1, Emily B Devine, Hiep Nguyen
1Pharmaceutical Outcomes Research & Policy Program, University of Washington, Box 357630, Seattle, WA 98195-7630, USA.
Journal of Comparative Effectiveness Research
|October 3, 2014
Summary
Bayesian indirect comparisons in Cochrane reviews help determine the best intervention. Individual education showed the highest probability of being the most effective self-management strategy in asthma care.
Area of Science:
- Health Services Research
- Biostatistics
- Evidence-Based Medicine
Background:
- Comparative effectiveness research (CER) is crucial for evaluating competing medical interventions.
- Bayesian indirect comparisons offer a method to enhance existing systematic reviews, such as Cochrane reviews.
- The influence of heterogeneity variance priors on Bayesian indirect comparison results requires careful consideration.
Purpose of the Study:
- To illustrate the application of Bayesian indirect comparisons within a Cochrane review update focused on asthma care.
- To estimate the probability of superiority for different self-management educational interventions in asthma.
- To investigate the impact of various heterogeneity variance prior distributions on study outcomes.
Main Methods:
- Utilized a case study from a Cochrane review update on asthma self-management education.
- Employed Bayesian indirect comparison methodology to analyze intervention effectiveness.
- Conducted simulation studies to assess the sensitivity of results to different prior distributions for heterogeneity variance.
Main Results:
- Individual education was estimated to have a 55% probability of being the most effective intervention.
- Combination (39%) and group (6%) educational interventions followed in probability.
- Interventions with fewer trials demonstrated sensitivity to the choice of prior distributions.
Conclusions:
- Bayesian indirect comparisons represent a valuable tool for updating Cochrane reviews.
- This methodology enhances comparative effectiveness research by providing probabilistic estimates of intervention performance.
- Findings underscore the importance of considering prior distributions in Bayesian analyses, especially for interventions with limited trial data.
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