Estimating an EQ-5D-3L Value Set for Romania Using Time Trade-Off

Marian Sorin Paveliu, Elena Olariu, Raluca Caplescu, Yemi Oluboyede, Ileana-Gabriela Niculescu-Aron, Simona Ernu and Luke Vale
Additional contact information
Marian Sorin Paveliu: Romanian Academic Society, 020071 Bucharest, Romania
Elena Olariu: Population Health Sciences Institute, Newcastle University, Newcastle upon Tyne NE2 4AX, UK
Raluca Caplescu: Department of Statistics and Econometrics, Bucharest University of Economic Studies, 010374 Bucharest, Romania
Yemi Oluboyede: Population Health Sciences Institute, Newcastle University, Newcastle upon Tyne NE2 4AX, UK
Ileana-Gabriela Niculescu-Aron: Department of Statistics and Econometrics, Bucharest University of Economic Studies, 010374 Bucharest, Romania
Simona Ernu: Romanian Academic Society, 020071 Bucharest, Romania
Luke Vale: Population Health Sciences Institute, Newcastle University, Newcastle upon Tyne NE2 4AX, UK

IJERPH, 2021, vol. 18, issue 14, 1-16

Abstract: Objective: To provide health-related quality of life (HRQoL) data to support health technology assessment (HTA) and reimbursement decisions in Romania, by developing a country-specific value set for the EQ-5D-3L questionnaire. Methods: We used the cTTO method to elicit health state values using a computer-assisted personal interviewing approach. Interviews were standardized following the most recent version of the EQ-VT protocol developed by the EuroQoL Foundation. Thirty EQ-5D-3L health states were randomly assigned to respondents in blocks of three. Econometric modeling was used to estimate values for all 243 states described by the EQ-5D-3L. Results: Data from 1556 non-institutionalized adults aged 18 years and older, selected from a national representative sample, were used to build the value set. All tested models were logically consistent; the final model chosen to generate the value set was an interval regression model. The predicted EQ-5D-3L values ranged from 0.969 to 0.399, and the relative importance of EQ-5D-3L dimensions was in the following order: mobility, pain/discomfort, self-care, anxiety/depression, and usual activities. Conclusions: These results can support reimbursement decisions and allow regional cross-country comparisons between health technologies. This study lays a stepping stone in the development of a health technology assessment process more driven by locally relevant data in Romania.

Keywords: cost-utility analysis; EQ-5D; utilities; health-related quality of life; quality-adjusted life years; time trade-off (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
https://www.mdpi.com/1660-4601/18/14/7415/pdf (application/pdf)
https://www.mdpi.com/1660-4601/18/14/7415/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jijerp:v:18:y:2021:i:14:p:7415-:d:592395

Access Statistics for this article

IJERPH is currently edited by Ms. Jenna Liu

More articles in IJERPH from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().