EORTC QLQ-C30 Descriptive Analysis with the qlqc30 Command

Health-related quality of life is often an endpoint in oncology clinical trials. The European Organization for Research and Treatment of Cancer (EORTC) developed the cancer-specific quality of life questionnaire (QLQ-C30), which includes five functions, nine symptoms, and a global health status. The...

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Bibliographic Details
Published in:The Stata journal 2015-12, Vol.15 (4), p.1060-1074
Main Authors: Bascoul-Mollevi, Caroline, Castan, Florence, Azria, David, Gourgou-Bourgade, Sophie
Format: Article
Language:English
Subjects:
Cancer research
Clinical trials
Methods
Statistical methods
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Summary:Health-related quality of life is often an endpoint in oncology clinical trials. The European Organization for Research and Treatment of Cancer (EORTC) developed the cancer-specific quality of life questionnaire (QLQ-C30), which includes five functions, nine symptoms, and a global health status. These questionnaires are completed by the patients themselves throughout the process of care. The recommended approaches for processing EORTC QLQ-C30 data are usually descriptive and graphic. Our aim was to develop a user-written command that provided an automatic descriptive analysis of EORTC QLQ-C30 data, consisting of profile plots per visit and longitudinal plots per functional and symptom scale.
ISSN:1536-867X
1536-8734
DOI:10.1177/1536867X1501500407