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

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 co...

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Autores principales: Paveliu, Marian Sorin, Olariu, Elena, Caplescu, Raluca, Oluboyede, Yemi, Niculescu-Aron, Ileana-Gabriela, Ernu, Simona, Vale, Luke
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8306594/
https://www.ncbi.nlm.nih.gov/pubmed/34299864
http://dx.doi.org/10.3390/ijerph18147415
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author Paveliu, Marian Sorin
Olariu, Elena
Caplescu, Raluca
Oluboyede, Yemi
Niculescu-Aron, Ileana-Gabriela
Ernu, Simona
Vale, Luke
author_facet Paveliu, Marian Sorin
Olariu, Elena
Caplescu, Raluca
Oluboyede, Yemi
Niculescu-Aron, Ileana-Gabriela
Ernu, Simona
Vale, Luke
author_sort Paveliu, Marian Sorin
collection PubMed
description 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.
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spelling pubmed-83065942021-07-25 Estimating an EQ-5D-3L Value Set for Romania Using Time Trade-Off Paveliu, Marian Sorin Olariu, Elena Caplescu, Raluca Oluboyede, Yemi Niculescu-Aron, Ileana-Gabriela Ernu, Simona Vale, Luke Int J Environ Res Public Health Article 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. MDPI 2021-07-11 /pmc/articles/PMC8306594/ /pubmed/34299864 http://dx.doi.org/10.3390/ijerph18147415 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Paveliu, Marian Sorin
Olariu, Elena
Caplescu, Raluca
Oluboyede, Yemi
Niculescu-Aron, Ileana-Gabriela
Ernu, Simona
Vale, Luke
Estimating an EQ-5D-3L Value Set for Romania Using Time Trade-Off
title Estimating an EQ-5D-3L Value Set for Romania Using Time Trade-Off
title_full Estimating an EQ-5D-3L Value Set for Romania Using Time Trade-Off
title_fullStr Estimating an EQ-5D-3L Value Set for Romania Using Time Trade-Off
title_full_unstemmed Estimating an EQ-5D-3L Value Set for Romania Using Time Trade-Off
title_short Estimating an EQ-5D-3L Value Set for Romania Using Time Trade-Off
title_sort estimating an eq-5d-3l value set for romania using time trade-off
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8306594/
https://www.ncbi.nlm.nih.gov/pubmed/34299864
http://dx.doi.org/10.3390/ijerph18147415
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