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Quality of Life Research

, Volume 16, Issue 7, pp 1097–1105 | Cite as

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

  • Gordon GuyattEmail author
  • Holger Schunemann
Original Paper

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.

Keywords

Minimal important difference Number needed to treat Systematic reviews Decision aids 

Notes

Acknowledgments

We are grateful for the very helpful advice that Dr. Tim Whelan gave us regarding making quality of life data helpful for those developing decision aids.

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Copyright information

© Springer Science+Business Media B.V. 2007

Authors and Affiliations

  1. 1.CLARITY Research Group, Department of Clinical Epidemiology and Biostatistics, Health Sciences CentreMcMaster UniversityHamiltonCanada
  2. 2.Department of Medicine, Health Sciences CentreMcMaster UniversityHamiltonCanada
  3. 3.Division of Clinical Research Development and Information Translation/INFORMA, Department of EpidemiologyIstituto Regina Elena/Italian National Cancer Institute Regina ElenaRomeItaly

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