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Estimating the EQ-5D-5L value set for the Philippines

BACKGROUND: The Philippines has recommended the use of Quality-Adjusted Life Years (QALYs) in government health technology assessments (HTA). We aimed to develop a value set for the EQ-5D-5L based on health preferences of the healthy general adult population in the Philippines. METHODS: Healthy, lit...

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Autores principales: Miguel, Red Thaddeus D., Rivera, Adovich S., Cheng, Kent Jason G., Rand, Kim, Purba, Fredrick Dermawan, Luo, Nan, Zarsuelo, Ma-Ann, Genuino-Marfori, Anne Julienne, Florentino-Fariñas, Irene, Guerrero, Anna Melissa, Lam, Hilton Y.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9356948/
https://www.ncbi.nlm.nih.gov/pubmed/35532835
http://dx.doi.org/10.1007/s11136-022-03143-w
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author Miguel, Red Thaddeus D.
Rivera, Adovich S.
Cheng, Kent Jason G.
Rand, Kim
Purba, Fredrick Dermawan
Luo, Nan
Zarsuelo, Ma-Ann
Genuino-Marfori, Anne Julienne
Florentino-Fariñas, Irene
Guerrero, Anna Melissa
Lam, Hilton Y.
author_facet Miguel, Red Thaddeus D.
Rivera, Adovich S.
Cheng, Kent Jason G.
Rand, Kim
Purba, Fredrick Dermawan
Luo, Nan
Zarsuelo, Ma-Ann
Genuino-Marfori, Anne Julienne
Florentino-Fariñas, Irene
Guerrero, Anna Melissa
Lam, Hilton Y.
author_sort Miguel, Red Thaddeus D.
collection PubMed
description BACKGROUND: The Philippines has recommended the use of Quality-Adjusted Life Years (QALYs) in government health technology assessments (HTA). We aimed to develop a value set for the EQ-5D-5L based on health preferences of the healthy general adult population in the Philippines. METHODS: Healthy, literate adults were recruited from the Philippine general population with quota targets based on age, sex, administrative region, type of residence, education, income, and ethnolinguistic groups. Each participant’s preference was elicited by completing Composite Time Trade-Off (C-TTO) and Discrete Choice Experiment (DCE) tasks. Tasks were computer-assisted using the EuroQol Valuation Technology 2.0. To estimate the value set, we explored 20- and 8-parameter models that either use c-TTO-only data or both c-TTO and DCE (also called hybrid models). Final model choice was guided by principles of monotonicity, out-of-sample likelihood, model fit, and parsimony. RESULTS: We recruited 1000 respondents with demographic characteristics that approximate the general population such as 49.6% Female, 82% Roman Catholic, 40% in urban areas, and 55% finished high school. None of the 20-parameter models demonstrated monotonicity (logical worsening of coefficients with increasing severity). From the 8-parameter models, the homoscedastic TTO-only model exhibited the best fit. From this model, mobility and pain/ discomfort had the highest effect on utilities. CONCLUSION: The selected model for representing the Philippine general population preferences for EQ-5D-5L health states was an 8-parameter homoscedastic TTO-only model. This value set is recommended for use in QALY calculations in support of HTA-informed coverage decisions in the Philippines. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11136-022-03143-w.
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spelling pubmed-93569482022-08-08 Estimating the EQ-5D-5L value set for the Philippines Miguel, Red Thaddeus D. Rivera, Adovich S. Cheng, Kent Jason G. Rand, Kim Purba, Fredrick Dermawan Luo, Nan Zarsuelo, Ma-Ann Genuino-Marfori, Anne Julienne Florentino-Fariñas, Irene Guerrero, Anna Melissa Lam, Hilton Y. Qual Life Res Article BACKGROUND: The Philippines has recommended the use of Quality-Adjusted Life Years (QALYs) in government health technology assessments (HTA). We aimed to develop a value set for the EQ-5D-5L based on health preferences of the healthy general adult population in the Philippines. METHODS: Healthy, literate adults were recruited from the Philippine general population with quota targets based on age, sex, administrative region, type of residence, education, income, and ethnolinguistic groups. Each participant’s preference was elicited by completing Composite Time Trade-Off (C-TTO) and Discrete Choice Experiment (DCE) tasks. Tasks were computer-assisted using the EuroQol Valuation Technology 2.0. To estimate the value set, we explored 20- and 8-parameter models that either use c-TTO-only data or both c-TTO and DCE (also called hybrid models). Final model choice was guided by principles of monotonicity, out-of-sample likelihood, model fit, and parsimony. RESULTS: We recruited 1000 respondents with demographic characteristics that approximate the general population such as 49.6% Female, 82% Roman Catholic, 40% in urban areas, and 55% finished high school. None of the 20-parameter models demonstrated monotonicity (logical worsening of coefficients with increasing severity). From the 8-parameter models, the homoscedastic TTO-only model exhibited the best fit. From this model, mobility and pain/ discomfort had the highest effect on utilities. CONCLUSION: The selected model for representing the Philippine general population preferences for EQ-5D-5L health states was an 8-parameter homoscedastic TTO-only model. This value set is recommended for use in QALY calculations in support of HTA-informed coverage decisions in the Philippines. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11136-022-03143-w. Springer International Publishing 2022-05-09 2022 /pmc/articles/PMC9356948/ /pubmed/35532835 http://dx.doi.org/10.1007/s11136-022-03143-w Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Miguel, Red Thaddeus D.
Rivera, Adovich S.
Cheng, Kent Jason G.
Rand, Kim
Purba, Fredrick Dermawan
Luo, Nan
Zarsuelo, Ma-Ann
Genuino-Marfori, Anne Julienne
Florentino-Fariñas, Irene
Guerrero, Anna Melissa
Lam, Hilton Y.
Estimating the EQ-5D-5L value set for the Philippines
title Estimating the EQ-5D-5L value set for the Philippines
title_full Estimating the EQ-5D-5L value set for the Philippines
title_fullStr Estimating the EQ-5D-5L value set for the Philippines
title_full_unstemmed Estimating the EQ-5D-5L value set for the Philippines
title_short Estimating the EQ-5D-5L value set for the Philippines
title_sort estimating the eq-5d-5l value set for the philippines
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9356948/
https://www.ncbi.nlm.nih.gov/pubmed/35532835
http://dx.doi.org/10.1007/s11136-022-03143-w
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