Mapping health-related quality of life scores from FACT-G, FAACT, and FACIT-F onto preference-based EQ-5D-5L utilities in non-small cell lung cancer cachexia

Autor: Michela Meregaglia, Ludovica Borsoi, John Cairns, Rosanna Tarricone
Jazyk: angličtina
Rok vydání: 2019
Předmět:
Male
EQ-5D-5L
FAACT
FACIT-F
FACT-G
MAPPING
NON-SMALL CELL LUNG CANCER CACHEXIA
2001
HEALTH POLICY
Cachexia
Lung Neoplasms
Cost-Benefit Analysis
Economics
Econometrics and Finance (miscellaneous)
MAPPING
0302 clinical medicine
Quality of life
I1
Carcinoma
Non-Small-Cell Lung
Surveys and Questionnaires
Health Status Indicators
Medicine
030212 general & internal medicine
Netherlands
Aged
80 and over
FACIT-F
HEALTH POLICY
030503 health policy & services
Middle Aged
humanities
Preference
3. Good health
Hydrazines
EQ-5D-5L
Regression Analysis
Female
NON-SMALL CELL LUNG CANCER CACHEXIA
Non small cell
0305 other medical science
Oligopeptides
Algorithms
Adult
medicine.medical_specialty
FAACT
03 medical and health sciences
FACT-G
EQ-5D
Humans
Lung cancer
C2
Aged
Health related quality of life
Original Paper
business.industry
Cancer
medicine.disease
United Kingdom
Quality of Life
Physical therapy
business
Zdroj: The European Journal of Health Economics
ISSN: 1618-7598
Popis: Background Health-related quality of life (HRQoL) measurements from disease-specific tools cannot be directly used in economic evaluations. This study aimed to develop and validate mapping algorithms that predicted EuroQol 5-Dimensions 5-Levels (EQ-5D-5L) utilities from Functional Assessment of Anorexia-Cachexia Therapy (FAACT) and Functional Assessment of Chronic Illness Therapy-Fatigue (FACIT-F) and their common component (Functional Assessment of Cancer Therapy-General—FACT-G) in patients with non-small cell lung cancer cachexia. Methods Data were collected on five occasions over a 12-week period in two multicenter placebo-controlled trials. EQ-5D-5L utilities were calculated using both English and Dutch value sets. The study sample was divided into development and validation datasets according to patients’ geographical residence. Generalized estimating equations were applied to five different sets of independent variables including overall, Trial Outcome Index (TOI), and individual subscales results. The best performing models were selected based on mean absolute error (MAE) and root-mean square error (RMSE). Results EQ-5D-5L and FAACT/FACIT-F results were available for 96 patients. The developed algorithms showed a good predictive performance, with acceptable MAE/RMSE and small differences between mean observed and predicted EQ-5D-5L utilities. In FACT-G models, Physical Well-Being had the highest explanatory value, while Emotional Well-Being did not significantly affect the EQ-5D-5L score; Anorexia-Cachexia and Fatigue subscales were highly statistically significant in FAACT and FACIT-F models, respectively, as well as the TOI scores. The Eastern Cooperative Oncology Group status was included as covariate in all models. Conclusion The developed algorithms enable the estimation of EQ-5D-5L utilities from three cancer-specific instruments when preference-based HRQoL data are missing. Electronic supplementary material The online version of this article (doi:10.1007/s10198-017-0930-6) contains supplementary material, which is available to authorized users.
Databáze: OpenAIRE
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