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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...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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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. |
format | Online Article Text |
id | pubmed-8306594 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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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