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Valuing the Quality-of-Life Aged Care Consumers (QOL-ACC) Instrument for Quality Assessment and Economic Evaluation

OBJECTIVE: This paper reports on the valuation of the classification system for the Quality-of-Life Aged Care Consumers (QOL-ACC) instrument using a discrete choice experiment (DCE) with duration with a large sample of older people receiving aged care services. METHODS: A DCE with 160 choice sets of...

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Autores principales: Ratcliffe, Julie, Bourke, Siobhan, Li, Jinhu, Mulhern, Brendan, Hutchinson, Claire, Khadka, Jyoti, Milte, Rachel, Lancsar, Emily
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9550725/
https://www.ncbi.nlm.nih.gov/pubmed/35922616
http://dx.doi.org/10.1007/s40273-022-01158-2
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author Ratcliffe, Julie
Bourke, Siobhan
Li, Jinhu
Mulhern, Brendan
Hutchinson, Claire
Khadka, Jyoti
Milte, Rachel
Lancsar, Emily
author_facet Ratcliffe, Julie
Bourke, Siobhan
Li, Jinhu
Mulhern, Brendan
Hutchinson, Claire
Khadka, Jyoti
Milte, Rachel
Lancsar, Emily
author_sort Ratcliffe, Julie
collection PubMed
description OBJECTIVE: This paper reports on the valuation of the classification system for the Quality-of-Life Aged Care Consumers (QOL-ACC) instrument using a discrete choice experiment (DCE) with duration with a large sample of older people receiving aged care services. METHODS: A DCE with 160 choice sets of two quality-of-life state–survival duration combinations blocked into 20 survey versions, with eight choice sets in each version, was designed and administered through an on-line survey to older Australians receiving aged care services in home and via interviewer facilitation with older people in residential aged care settings. Model specifications investigating preferences with respect to survival duration and interactions between QOL-ACC dimension levels were estimated. Utility weights were developed, with estimated coefficients transformed to the 0 (being dead) to 1 (full health) scale to generate a value set suitable for application in quality assessment and for the calculation of quality-adjusted life-years for use in economic evaluation. RESULTS: In total, 953 older people completed the choice experiment with valid responses. The estimation results from econometric model specifications indicated that utility increased with survival duration and decreased according to quality-of-life impairment levels. An Australian value set (range − 0.56 to 1.00) was generated for the calculation of utilities for all QOL-ACC states. CONCLUSION: The QOL-ACC is unique in its focus on measuring and valuing quality of life from the perspective of older people themselves, thereby ensuring that the preferences of aged care service users are the primary focus for quality assessment and economic evaluation. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s40273-022-01158-2.
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spelling pubmed-95507252022-10-12 Valuing the Quality-of-Life Aged Care Consumers (QOL-ACC) Instrument for Quality Assessment and Economic Evaluation Ratcliffe, Julie Bourke, Siobhan Li, Jinhu Mulhern, Brendan Hutchinson, Claire Khadka, Jyoti Milte, Rachel Lancsar, Emily Pharmacoeconomics Original Research Article OBJECTIVE: This paper reports on the valuation of the classification system for the Quality-of-Life Aged Care Consumers (QOL-ACC) instrument using a discrete choice experiment (DCE) with duration with a large sample of older people receiving aged care services. METHODS: A DCE with 160 choice sets of two quality-of-life state–survival duration combinations blocked into 20 survey versions, with eight choice sets in each version, was designed and administered through an on-line survey to older Australians receiving aged care services in home and via interviewer facilitation with older people in residential aged care settings. Model specifications investigating preferences with respect to survival duration and interactions between QOL-ACC dimension levels were estimated. Utility weights were developed, with estimated coefficients transformed to the 0 (being dead) to 1 (full health) scale to generate a value set suitable for application in quality assessment and for the calculation of quality-adjusted life-years for use in economic evaluation. RESULTS: In total, 953 older people completed the choice experiment with valid responses. The estimation results from econometric model specifications indicated that utility increased with survival duration and decreased according to quality-of-life impairment levels. An Australian value set (range − 0.56 to 1.00) was generated for the calculation of utilities for all QOL-ACC states. CONCLUSION: The QOL-ACC is unique in its focus on measuring and valuing quality of life from the perspective of older people themselves, thereby ensuring that the preferences of aged care service users are the primary focus for quality assessment and economic evaluation. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s40273-022-01158-2. Springer International Publishing 2022-08-04 2022 /pmc/articles/PMC9550725/ /pubmed/35922616 http://dx.doi.org/10.1007/s40273-022-01158-2 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by-nc/4.0/Open AccessThis article is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License, which permits any non-commercial 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-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) .
spellingShingle Original Research Article
Ratcliffe, Julie
Bourke, Siobhan
Li, Jinhu
Mulhern, Brendan
Hutchinson, Claire
Khadka, Jyoti
Milte, Rachel
Lancsar, Emily
Valuing the Quality-of-Life Aged Care Consumers (QOL-ACC) Instrument for Quality Assessment and Economic Evaluation
title Valuing the Quality-of-Life Aged Care Consumers (QOL-ACC) Instrument for Quality Assessment and Economic Evaluation
title_full Valuing the Quality-of-Life Aged Care Consumers (QOL-ACC) Instrument for Quality Assessment and Economic Evaluation
title_fullStr Valuing the Quality-of-Life Aged Care Consumers (QOL-ACC) Instrument for Quality Assessment and Economic Evaluation
title_full_unstemmed Valuing the Quality-of-Life Aged Care Consumers (QOL-ACC) Instrument for Quality Assessment and Economic Evaluation
title_short Valuing the Quality-of-Life Aged Care Consumers (QOL-ACC) Instrument for Quality Assessment and Economic Evaluation
title_sort valuing the quality-of-life aged care consumers (qol-acc) instrument for quality assessment and economic evaluation
topic Original Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9550725/
https://www.ncbi.nlm.nih.gov/pubmed/35922616
http://dx.doi.org/10.1007/s40273-022-01158-2
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