AI Article Synopsis
- Clinicians are dealing with more health-related quality of life (HRQOL) data, highlighting the need for better analysis and interpretation methods.
- The National Cancer Institute of Canada's Clinical Trials Group offers a straightforward four-step approach that focuses on the clinical significance of HRQOL results rather than complex statistics.
- The four steps include calculating completion rates, baseline scores, individual score changes over time, and identifying proportions of patients with clinically meaningful score changes, with rationale provided for each.
Article Abstract
Clinicians are being confronted with increasing amounts of health-related quality of life (HRQOL) data. Thus, there is a need for a greater understanding of the analysis and interpretation of HRQOL so that the data can be reported in an appropriate manner. The approach of the Clinical Trials Group of the National Cancer Institute of Canada emphasises the clinical meaning of the results, while avoiding complex statistical modelling. It consists of four steps: calculating the questionnaire completion rates, calculating the baseline scores, determining the individual change in scores over time for the domains specified in the trial hypothesis, and culminates in determining the proportions of patients who have reported clinically meaningful changes in scores since baseline. A rationale supporting each step is given. This approach is presented as a simple and practical aid to the analysis, interpretation and reporting of HRQOL results.
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| http://dx.doi.org/10.1016/j.ejca.2004.10.017 | DOI Listing |
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