An EQ-5D-5L Value Set for Ghana Using an Adapted EuroQol Valuation Technology Protocol.

Addo, R; Mulhern, B; Norman, R; Owusu, R; Viney, R; Nonvignon, J

An EQ-5D-5L Value Set for Ghana Using an Adapted EuroQol Valuation Technology Protocol.

Addo, R

Mulhern, B

Norman, R Owusu, R Viney, R

Nonvignon, J

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Publisher:: Elsevier
Publication Type:: Journal Article
Citation:: Value Health Reg Issues, 2024, 45, pp. 101045
Issue Date:: 2024-09-04

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Field	Value	Language
dc.contributor.author	Addo, R https://orcid.org/0000-0002-5970-1122
dc.contributor.author	Mulhern, B https://orcid.org/0000-0003-3656-8063
dc.contributor.author	Norman, R
dc.contributor.author	Owusu, R
dc.contributor.author	Viney, R https://orcid.org/0000-0002-0039-9635
dc.contributor.author	Nonvignon, J
dc.date.accessioned	2024-09-19T05:22:03Z
dc.date.available	2024-07-27
dc.date.available	2024-09-19T05:22:03Z
dc.date.issued	2024-09-04
dc.identifier.citation	Value Health Reg Issues, 2024, 45, pp. 101045
dc.identifier.issn	2212-1099
dc.identifier.issn	2212-1102
dc.identifier.uri	http://hdl.handle.net/10453/180874
dc.description.abstract	OBJECTIVES: Ghana's economic evaluation reference case recommends quality-adjusted life-years as an outcome measure for the conduct of cost-utility analysis. There is no Ghanaian value set available to be used in estimating quality-adjusted life-years. This study aimed to develop a value set for Ghana using the EQ-5D-5L instrument. METHODS: Face-to-face preference data were collected from 300 adults across 3 regions of Ghana using the adapted version of the EuroQol valuation technology (EQ-VT) standardized valuation protocol; with composite time-trade-off (cTTO) and discrete-choice experiments (DCEs) elicitation techniques. The cTTO and DCE data were modeled individually or together to provide complementary results on respondents' utility preferences. Models explored were generalized least squares, Tobit, heteroskedastic, logit, and hybrid. The best-fitting model for the value set was selected based on its logical consistency, accounting for left-censored and heteroscedasticity data, and the statistical significance of parameters. RESULTS: The 300 interviews provided 4500 cTTO responses and 4200 DCE responses. The preferred model chosen for the Ghana value set was the Hybrid Tobit random effect heteroscedastic-constrained model. The predicted value for the worst attainable health state (55555) was -0.493 and the best health state (11112) was 0.969. The largest decrement was registered for level 5 mobility (0.369) followed by pain/discomfort (0.312), self-care (0.273), anxiety/depression (0.271), and usual activities (0.268). CONCLUSIONS: This is the first Ghanaian EQ-5D-5L value set based on social preference derived from a nationally representative sample. The value set will play a key role in the use of economic evaluation studies to inform priority setting in Ghana where different health technologies can be compared.
dc.format	Print-Electronic
dc.language	eng
dc.publisher	Elsevier
dc.relation.ispartof	Value Health Reg Issues
dc.relation.isbasedon	10.1016/j.vhri.2024.101045
dc.rights	info:eu-repo/semantics/openAccess
dc.subject	1115 Pharmacology and Pharmaceutical Sciences, 1117 Public Health and Health Services, 1402 Applied Economics
dc.subject.classification	3801 Applied economics
dc.subject.classification	4203 Health services and systems
dc.subject.classification	4407 Policy and administration
dc.title	An EQ-5D-5L Value Set for Ghana Using an Adapted EuroQol Valuation Technology Protocol.
dc.type	Journal Article
utslib.citation.volume	45
utslib.location.activity	United States
utslib.for	1115 Pharmacology and Pharmaceutical Sciences
utslib.for	1117 Public Health and Health Services
utslib.for	1402 Applied Economics
pubs.organisational-group	University of Technology Sydney
pubs.organisational-group	University of Technology Sydney/Faculty of Health
pubs.organisational-group	University of Technology Sydney/Strength - CHERE - Centre for Health Economics Research and Evaluation
pubs.organisational-group	University of Technology Sydney/Faculty of Health/Research Centres/Centre for Health Economics Research and Evaluation
pubs.organisational-group	University of Technology Sydney/UTS Groups
pubs.organisational-group	University of Technology Sydney/UTS Groups/Centre for Health Economics Research and Evaluation (CHERE)
pubs.organisational-group	University of Technology Sydney/Faculty of Health/Research Centres
utslib.copyright.status	open_access	*
dc.rights.license	This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0). To view a copy of this license, visit https://creativecommons.org/licenses/by/4.0/
dc.date.updated	2024-09-19T05:22:01Z
pubs.publication-status	Published online
pubs.volume	45

Abstract:

OBJECTIVES: Ghana's economic evaluation reference case recommends quality-adjusted life-years as an outcome measure for the conduct of cost-utility analysis. There is no Ghanaian value set available to be used in estimating quality-adjusted life-years. This study aimed to develop a value set for Ghana using the EQ-5D-5L instrument. METHODS: Face-to-face preference data were collected from 300 adults across 3 regions of Ghana using the adapted version of the EuroQol valuation technology (EQ-VT) standardized valuation protocol; with composite time-trade-off (cTTO) and discrete-choice experiments (DCEs) elicitation techniques. The cTTO and DCE data were modeled individually or together to provide complementary results on respondents' utility preferences. Models explored were generalized least squares, Tobit, heteroskedastic, logit, and hybrid. The best-fitting model for the value set was selected based on its logical consistency, accounting for left-censored and heteroscedasticity data, and the statistical significance of parameters. RESULTS: The 300 interviews provided 4500 cTTO responses and 4200 DCE responses. The preferred model chosen for the Ghana value set was the Hybrid Tobit random effect heteroscedastic-constrained model. The predicted value for the worst attainable health state (55555) was -0.493 and the best health state (11112) was 0.969. The largest decrement was registered for level 5 mobility (0.369) followed by pain/discomfort (0.312), self-care (0.273), anxiety/depression (0.271), and usual activities (0.268). CONCLUSIONS: This is the first Ghanaian EQ-5D-5L value set based on social preference derived from a nationally representative sample. The value set will play a key role in the use of economic evaluation studies to inform priority setting in Ghana where different health technologies can be compared.

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http://hdl.handle.net/10453/180874