Bmc Med Res Methodol
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Bmc Med Res Methodol · May 2014
Network-meta analysis made easy: detection of inconsistency using factorial analysis-of-variance models.
Network meta-analysis can be used to combine results from several randomized trials involving more than two treatments. Potential inconsistency among different types of trial (designs) differing in the set of treatments tested is a major challenge, and application of procedures for detecting and locating inconsistency in trial networks is a key step in the conduct of such analyses. ⋯ Factorial analysis of variance provides a convenient framework for conducting network meta-analysis, including diagnostic checks for inconsistency.
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Bmc Med Res Methodol · May 2014
Comparative StudyEfficient clinical evaluation of guideline quality: development and testing of a new tool.
Evaluating the methodological quality of clinical practice guidelines is essential before deciding which ones which could best inform policy or practice. One current method of evaluating clinical guideline quality is the research-focused AGREE II instrument. This uses 23 questions scored 1-7, arranged in six domains, which requires at least two independent testers, and uses a formulaic weighted domain scoring system. Following feedback from time-poor clinicians, policy-makers and managers that this instrument did not suit clinical need, we developed and tested a simpler, shorter, binary scored instrument (the iCAHE Guideline Quality Checklist) designed for single users. ⋯ The iCAHE Guideline Quality Checklist has promising psychometric properties and clinical utility.