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

Author

Listed:
  • Marian Sorin Paveliu

    (Romanian Academic Society, 020071 Bucharest, Romania
    Department of Pharmacology, Titu Maiorescu University, 031593 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)

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.

Suggested Citation

  • Marian Sorin Paveliu & Elena Olariu & Raluca Caplescu & Yemi Oluboyede & Ileana-Gabriela Niculescu-Aron & Simona Ernu & Luke Vale, 2021. "Estimating an EQ-5D-3L Value Set for Romania Using Time Trade-Off," IJERPH, MDPI, vol. 18(14), pages 1-16, July.
    • Handle: RePEc:gam:jijerp:v:18:y:2021:i:14:p:7415-:d:592395
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    References listed on IDEAS

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    Cited by:

    1. Elena Olariu & Wael Mohammed & Yemi Oluboyede & Raluca Caplescu & Ileana Gabriela Niculescu-Aron & Marian Sorin Paveliu & Luke Vale, 2023. "EQ-5D-5L: a value set for Romania," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 24(3), pages 399-412, April.
    2. Micha J. Pilz & Simon Seyringer & Lára R. Hallsson & Andrew Bottomley & Femke Jansen & Madeleine T. King & Richard Norman & Marianne J. Rutten & Irma M. Verdonck-de Leeuw & Peter D. Siersema & Eva Mar, 2024. "The EORTC QLU-C10D is a valid cancer-specific preference-based measure for cost-utility and health technology assessment in the Netherlands," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 25(9), pages 1539-1555, December.

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