ArticleAsian Pacific journal of cancer prevention : APJCP2023
Mapping EORTC-QLQ-C30 onto EQ-5D-5L Index in Indonesian Cancer Patients.
Article in Asian Pacific journal of cancer prevention : APJCP, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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5 citing papers in PubMed.
- Effects of bevacizumab combined with anti-epidermal growth factor receptor monoclonal antibody-targeted drugs in patients with metastatic colorectal cancer.Naunyn-Schmiedeberg's archives of pharmacology · 2026Article
- Economic Evaluation of Fecal Occult Blood Test and Colonoscopy for Colorectal Cancer Screening in Indonesia: A Cost-Effectiveness Analysis.Asian Pacific journal of cancer prevention : APJCP · 2026Article
- Translating the EORTC CAT core and the QLQ-C30 to the EQ-5D-5L in patients with metastatic breast cancer: A comparison of direct and indirect mapping algorithms.The European journal of health economics : HEPAC : health economics in prevention and care · 2026Article
- The Impact of a Diet Rich in Omega-3 Fatty Acids on the Quality of Life of Patients with Squamous Cell Lung Cancer and Comorbid Depression: A Retrospective Study.Actas espanolas de psiquiatria · 2024Article
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Abstract
objectiveThis study aims to develop a mapping algorithm for EORTC QLQ-C30 to EQ-5D-5L which can produce utility values in patients with cancer.
methodsWe used a cross sectional study design with 300 cancer patients. The research instruments used were EORTC QLQ-C30 and EQ-5D-5L. Data were collected by interviewing cancer patients who were hospitalized in the Kasuari Installation of Dr Kariadi Hospital Semarang, Indonesia. The Ordinary Least Squares (OLS) regression method was used to predict the utility value of EQ-5D-5L. This study uses two models to predict utility values, namely model 1 with all domains, and model 2 with domains that affect the EQ-5D-5L. The predictive power of regression on the model is evaluated by calculating the mean absolute error (MAE) and root mean square error (RMSE) values.
resultThe highest score in the functional domain is the 'emotional function' domain (mean: 85.89; SD: 16.04) and the highest symptom domain is 'weakness' (mean: 36.21; SD:21.69). The predicted utility values of models 1 and 2 are 0.683. The mean absolute error (MAE) and root mean square error (RMSE) values of model 1 are 0.128 and 0.173, while in model 2 the MAE and RMSE values obtained are 0.125 and 0.168.
conclusionThe development of the mapping algorithm from the EORTC QLQ-C30 to EQ-5D-5L instrument shows a predictive value of utility in a sample of patients with cancer at Dr. Kariadi Hospital, Semarang, Indonesia. The utility prediction in both model is similar, however model 2 involves fewer domains and symptoms.<br />.
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