Investigating 5-Level EQ-5D (EQ-5D-5L) Values Based on Preferences of Patients With Heart Disease
| Autor: | Mihir Gandhi, Ru San Tan, Nan Luo, Carolyn S.P. Lam, Shir Lynn Lim, Kim Rand, Yin Bun Cheung |
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| Přispěvatelé: | Tampere University, Clinical Medicine |
| Rok vydání: | 2021 |
| Předmět: |
Adult
Male Sociodemographic Factors Mean squared error Heart disease Heart Diseases Cost-Benefit Analysis Health Status Population 3121 Internal medicine Decision Support Techniques Young Adult Sex Factors Discriminative model Quality of life EQ-5D Statistics Medicine Humans education education.field_of_study Singapore business.industry Health Policy Public Health Environmental and Occupational Health Linear model Age Factors Reproducibility of Results Patient Preference Middle Aged medicine.disease 3142 Public health care science environmental and occupational health Cross-Sectional Studies Economic evaluation Insurance Health Reimbursement Quality of Life Female business |
| Zdroj: | Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research. 25(3) |
| ISSN: | 1524-4733 |
| Popis: | Objectives: Several studies have shown that patients with heart disease value hypothetical health states differently from the general population. We aimed to investigate the health preferences of patients with heart disease and develop a value set for the 5-level EQ-5D (EQ-5D-5L) based on these patient preferences. Methods: Patients with confirmed heart disease were recruited from 2 hospitals in Singapore. A total of 86 EQ-5D-5L health states (10 per patient) were valued using a composite time trade-off method according to the international valuation protocol for EQ-5D-5L; 20-parameter linear models and 8-parameter cross-attribute level effects models with and without an N45 term (indicating whether any health state dimension at level 4 or 5 existed) were estimated. Each model included patient-specific random intercepts. Model performance was evaluated for out-of-sample and in-sample predictive accuracy in terms of root mean square error. The discriminative ability of the utility values was assessed using heart disease-related functional classes. Results: A total of 576 patients were included in the analysis. The preferred model, with the lowest out-of-sample root mean square error, was a 20-parameter linear model including N45. Predicted utility values ranged from −0.727 for the worst state to 1 for full health; the value for the second-best state was 0.981. Utility values demonstrated good discriminative ability in differentiating among patients of varied functional classes. Conclusions: An EQ-5D-5L value set representing the preferences of patients with heart disease was developed. The value set could be used for patient-centric economic evaluation and health-related quality of life assessment for patients with heart disease. acceptedVersion |
| Databáze: | OpenAIRE |
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