Search results for "Meta-Analyses"
showing 4 items of 14 documents
Clinical evidence from randomized trials, network meta-analyses, and conflicts of interests
2013
Known knowns and known unknowns on behavior change interventions and mechanisms of action.
2020
Systematic reviews and meta-analyses of research play an important role in summarizing current knowledge on the efficacy of the behavior change techniques and mechanisms of action that comprise behavioral interventions. The current reviews in the science of behavior change (SOBC) special issue represent a ‘step change’ in evaluating current evidence on behavior change interventions and mechanisms. This concluding article outlines the key findings and emerging issues identified in the reviews (‘known knowns’), and summarizes the evidence gaps highlighted by the reviews that need to be addressed in future research (‘known unknowns’). Specifically, findings of the reviews indicate that: tests …
Effectiveness of Organizational Interventions to Reduce Emergency Department Utilization: A Systematic Review
2012
BackgroundEmergency department (ED) utilization has dramatically increased in developed countries over the last twenty years. Because it has been associated with adverse outcomes, increased costs, and an overload on the hospital organization, several policies have tried to curb this growing trend. The aim of this study is to systematically review the effectiveness of organizational interventions designed to reduce ED utilization.Methodology/principal findingsWe conducted electronic searches using free text and Medical Subject Headings on PubMed and The Cochrane Library to identify studies of ED visits, re-visits and mortality. We performed complementary searches of grey literature, manual s…
Gill area explains deviations from body size–metabolic rate relationship in teleost fishes
2022
Whether gill area constrains fish metabolism through oxygen limitation is a debated topic. Here, the authors provide insights into this question by analysing mass-specific metabolic rates across 44 teleost fishes extracted from FishBase. They explore whether species deviations from metabolic rates predicted by body mass can be explained by species gill area. They show that the gill area explains c. 26%–28% of species-level deviations from mass-specific metabolic rates. Their findings suggest that gill area might indeed be one of the factors limiting metabolic rate in fishes.