Developing preference-based measures for diabetes: DHP-3D and DHP-5D

Mulhern, B; Labeit, A; Rowen, D; Knowles, E; Meadows, K; Elliott, J; Brazier, J

Developing preference-based measures for diabetes: DHP-3D and DHP-5D

Mulhern, B

Labeit, A Rowen, D Knowles, E Meadows, K Elliott, J Brazier, J

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Publication Type:: Journal Article
Citation:: Diabetic Medicine, 2017, 34 (9), pp. 1264 - 1275
Issue Date:: 2017-09-01

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Field	Value	Language
dc.contributor.author	Mulhern, B https://orcid.org/0000-0003-3656-8063	en_US
dc.contributor.author	Labeit, A	en_US
dc.contributor.author	Rowen, D	en_US
dc.contributor.author	Knowles, E	en_US
dc.contributor.author	Meadows, K	en_US
dc.contributor.author	Elliott, J	en_US
dc.contributor.author	Brazier, J	en_US
dc.date.available	2020-05-25T19:04:43Z
dc.date.issued	2017-09-01	en_US
dc.identifier.citation	Diabetic Medicine, 2017, 34 (9), pp. 1264 - 1275	en_US
dc.identifier.issn	0742-3071	en_US
dc.identifier.uri	http://hdl.handle.net/10453/98257
dc.description.abstract	© 2017 Diabetes UK Aims: The aim of this study was to develop two diabetes-specific preference-based measures [the Diabetes Health Profile–3 Dimension (DHP-3D) and the Diabetes Health Profile–5 Dimension (DHP-5D)] for use in the calculation of Quality Adjusted Life Years, a key outcome in economic evaluation. These measures were based on the non-preference-based instrument the Diabetes Health Profile. Methods: For DHP-3D, psychometric and Rasch analyses were used to develop a health state classification system based on the Diabetes Health Profile–18 (DHP-18). The DHP-5D added two dimensions to the DHP-3D to extend the range of impacts measured. Each classification system was valued by 150 general public respondents in the United Kingdom using Time Trade Off (TTO). Multivariate regression was used to estimate utility value sets. The matched dimensions across each measure were compared using z-score tests. Results: The DHP-3D included three dimensions defined as mood, eating and social limitations, and the DHP-5D added dimensions defined as hypoglycaemic attacks and vitality. For both, the random effects generalized least squares regression model produced consistent value sets, with the DHP-3D and DHP-5D ranging from 0.983 (best state) to 0.717 (worst state), and 0.979 to 0.618 respectively. The addition of the two extra dimensions leads to significant differences for the more severe levels of each matched dimension. Conclusions: We have developed two diabetes-specific preference-based measures that, subject to psychometric assessment, can be used to provide condition-specific utility values to complement generic utilities from more widely validated measures such as the EuroQol-5 Dimension.	en_US
dc.relation.ispartof	Diabetic Medicine	en_US
dc.relation.isbasedon	10.1111/dme.13377	en_US
dc.subject.classification	Endocrinology & Metabolism	en_US
dc.subject.mesh	Humans	en_US
dc.subject.mesh	Diabetes Mellitus	en_US
dc.subject.mesh	Cross-Sectional Studies	en_US
dc.subject.mesh	Psychometrics	en_US
dc.subject.mesh	Health Status	en_US
dc.subject.mesh	Quality-Adjusted Life Years	en_US
dc.subject.mesh	Quality of Life	en_US
dc.subject.mesh	Adult	en_US
dc.subject.mesh	Aged	en_US
dc.subject.mesh	Middle Aged	en_US
dc.subject.mesh	Female	en_US
dc.subject.mesh	Male	en_US
dc.subject.mesh	Surveys and Questionnaires	en_US
dc.subject.mesh	United Kingdom	en_US
dc.title	Developing preference-based measures for diabetes: DHP-3D and DHP-5D	en_US
dc.type	Journal Article
utslib.citation.volume	9	en_US
utslib.citation.volume	34	en_US
utslib.for	140208 Health Economics	en_US
utslib.for	1402 Applied Economics	en_US
utslib.for	1103 Clinical Sciences	en_US
utslib.for	1117 Public Health and Health Services	en_US
utslib.for	1701 Psychology	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Business
pubs.organisational-group	/University of Technology Sydney/Strength - CHERE - Centre for Health Economics Research and Evaluation
utslib.copyright.status	open_access
pubs.issue	9	en_US
pubs.publication-status	Published	en_US
pubs.volume	34	en_US

Abstract:

© 2017 Diabetes UK Aims: The aim of this study was to develop two diabetes-specific preference-based measures [the Diabetes Health Profile–3 Dimension (DHP-3D) and the Diabetes Health Profile–5 Dimension (DHP-5D)] for use in the calculation of Quality Adjusted Life Years, a key outcome in economic evaluation. These measures were based on the non-preference-based instrument the Diabetes Health Profile. Methods: For DHP-3D, psychometric and Rasch analyses were used to develop a health state classification system based on the Diabetes Health Profile–18 (DHP-18). The DHP-5D added two dimensions to the DHP-3D to extend the range of impacts measured. Each classification system was valued by 150 general public respondents in the United Kingdom using Time Trade Off (TTO). Multivariate regression was used to estimate utility value sets. The matched dimensions across each measure were compared using z-score tests. Results: The DHP-3D included three dimensions defined as mood, eating and social limitations, and the DHP-5D added dimensions defined as hypoglycaemic attacks and vitality. For both, the random effects generalized least squares regression model produced consistent value sets, with the DHP-3D and DHP-5D ranging from 0.983 (best state) to 0.717 (worst state), and 0.979 to 0.618 respectively. The addition of the two extra dimensions leads to significant differences for the more severe levels of each matched dimension. Conclusions: We have developed two diabetes-specific preference-based measures that, subject to psychometric assessment, can be used to provide condition-specific utility values to complement generic utilities from more widely validated measures such as the EuroQol-5 Dimension.

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http://hdl.handle.net/10453/98257