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Quality of Life Research
Gepubliceerd in: Quality of Life Research 7/2007

01-09-2007 | Original Paper

How can quality of life researchers make their work more useful to health workers and their patients?

Auteurs: Gordon Guyatt, Holger Schunemann

Gepubliceerd in: Quality of Life Research | Uitgave 7/2007

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Abstract

To make optimal use of data from randomized trials in clinical decision-making, clinicians require knowledge of the magnitude of treatment effects. Reports of trials including quality of life data often fail to report results that provide interpretable estimates of magnitude of effect. Strategies that investigators could use to remedy this problem include reporting mean differences between groups in relation to the minimal important difference and reporting the proportion of patients who benefit from treatment and the associated number needed to treat. Techniques are available that allow investigators to use the same strategies in reporting pooled estimates from meta-analyses, even when studies use different instruments to measure the same construct. These reporting approaches, as well as ensuring access to data from individual items, will also help those developing decision aids to use quality of life data.
volgende artikel Measuring quality of health care from the user’s perspective in 41 countries: psychometric properties of WHO’s questions on health systems responsiveness
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Metagegevens
Titel
How can quality of life researchers make their work more useful to health workers and their patients?
Auteurs
Gordon Guyatt
Holger Schunemann
Publicatiedatum
01-09-2007
Uitgeverij
Springer Netherlands
Gepubliceerd in
Quality of Life Research / Uitgave 7/2007
Print ISSN: 0962-9343
Elektronisch ISSN: 1573-2649
DOI
https://doi.org/10.1007/s11136-007-9223-3

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