Improving the interpretation of quality of life evidence in meta-analyses: the application of minimal important difference units View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2010-12

AUTHORS

Bradley C Johnston, Kristian Thorlund, Holger J Schünemann, Feng Xie, Mohammad Hassan Murad, Victor M Montori, Gordon H Guyatt

ABSTRACT

Systematic reviews of randomized trials that include measurements of health-related quality of life potentially provide critical information for patient and clinicians facing challenging health care decisions. When, as is most often the case, individual randomized trials use different measurement instruments for the same construct (such as physical or emotional function), authors typically report differences between intervention and control in standard deviation units (so-called "standardized mean difference" or "effect size"). This approach has statistical limitations (it is influenced by the heterogeneity of the population) and is non-intuitive for decision makers. We suggest an alternative approach: reporting results in minimal important difference units (the smallest difference patients experience as important). This approach provides a potential solution to both the statistical and interpretational problems of existing methods. More... »

PAGES

116

Identifiers

URI

http://scigraph.springernature.com/pub.10.1186/1477-7525-8-116

DOI

http://dx.doi.org/10.1186/1477-7525-8-116

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1040900340

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/20937092


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