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What is the methodological quality of systematic reviews evaluating remote monitoring in heart failure, and what are the clinical outcomes reported in high-quality reviews?
What is the methodological quality of systematic reviews evaluating remote monitoring in heart failure, and what are the clinical outcomes reported in high-quality reviews?
A majority of systematic reviews on remote monitoring in heart failure have poor methodological quality, though high-quality reviews suggest benefits in reducing mortality and hospitalizations.
High-quality reviews support remote monitoring to reduce mortality and HF hospitalizations; underscores need for rigorous systematic reviews.
We carried out a critical appraisal and synthesis of the systematic reviews and meta-analyses of remote monitoring for heart failure. A comprehensive literature search identified 65 relevant publications from 3333 citations. Seventeen studies fulfilled the inclusion and exclusion criteria. Seven (41%) systematic reviews pooled results for meta-analysis. Eight (47%) considered all non-invasive remote monitoring strategies. Five (29%) focused on telemonitoring. Four (24%) included both non-invasive and invasive technologies. The reviews were appraised by two independent reviewers for their quality and risk of bias using the AMSTAR tool. According to the AMSTAR criteria, ten (58%) systematic reviews were of poor methodological quality. In the high quality reviews, the relative risk of mortality in patients who received remote monitoring ranged from 0.53 to 0.88. The high quality reviews also reported that remote monitoring reduced the relative risk of all-cause (0.52 to 0.96) and heart failure-related hospitalizations (0.72 to 0.79) and, as a consequence, healthcare costs. However, further research is required before considering widespread implementation of remote monitoring. The subset of the heart failure population that derives the most benefit from intensive monitoring, the best technology, and the optimum duration of monitoring, all need to be identified.
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Conway et al. (2013) studied this question.
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