Estimating preference-based single index measures for dementia using DEMQOL and DEMQOL-proxy

Rowen, D; Mulhern, B; Banerjee, S; Van Hout, B; Young, TA; Knapp, M; Smith, SC; Lamping, DL; Brazier, JE

Estimating preference-based single index measures for dementia using DEMQOL and DEMQOL-proxy

Rowen, D Mulhern, B

Banerjee, S Van Hout, B Young, TA Knapp, M Smith, SC Lamping, DL Brazier, JE

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Publication Type:: Journal Article
Citation:: Value in Health, 2012, 15 (2), pp. 346 - 356
Issue Date:: 2012-03-01

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Field	Value	Language
dc.contributor.author	Rowen, D	en_US
dc.contributor.author	Mulhern, B https://orcid.org/0000-0003-3656-8063	en_US
dc.contributor.author	Banerjee, S	en_US
dc.contributor.author	Van Hout, B	en_US
dc.contributor.author	Young, TA	en_US
dc.contributor.author	Knapp, M	en_US
dc.contributor.author	Smith, SC	en_US
dc.contributor.author	Lamping, DL	en_US
dc.contributor.author	Brazier, JE	en_US
dc.date.available	2011-10-19	en_US
dc.date.issued	2012-03-01	en_US
dc.identifier.citation	Value in Health, 2012, 15 (2), pp. 346 - 356	en_US
dc.identifier.issn	1098-3015	en_US
dc.identifier.uri	http://hdl.handle.net/10453/114107
dc.description.abstract	Objective: Although condition-specific measures are commonly used in dementia, they cannot be used in analyses of cost per quality-adjusted life-year because they do not incorporate preferences. We addressed this gap by estimating two preference-based single index measures: the DEMQOL-U from the self-report DEMQOL (mild-to-moderate dementia severity) and the DEMQOL-Proxy-U from the carer-report DEMQOL-Proxy (all levels of dementia severity). Methods: We conducted valuation studies on 593 members of the general population (306 for the DEMQOL-U, 287 for the DEMQOL-Proxy-U) using the time trade-off elicitation technique. We then fitted a range of mean and individual-level multivariate regression models to the valuation data to derive preference weights for each measure. We applied the estimated weights to a large, clinically representative sample. Results: Mean observed time trade-off values ranged from 0.18 to 0.95 for DEMQOL-U and from 0.33 to 0.96 for DEMQOL-Proxy-U. The best performing models for each measure were main effects models estimated using individual-level data. DEMQOL-Proxy-U had inconsistent but insignificant coefficient estimates for one dimension. Models were estimated to remove these inconsistencies. Conclusion: Preference-based single index measures from DEMQOL and DEMQOL-Proxy for use in economic evaluation will enable economic evaluation using quality-adjusted life-years to be undertaken for people across the full range of dementia severity. Future research will examine how the utilities from each measure can be used and combined to populate cost-effectiveness models. Copyright © 2012, International Society for Pharmacoeconomics and Outcomes Research (ISPOR). Published by Elsevier Inc.	en_US
dc.relation.ispartof	Value in Health	en_US
dc.relation.isbasedon	10.1016/j.jval.2011.10.016	en_US
dc.subject.classification	Health Policy & Services	en_US
dc.subject.mesh	Humans	en_US
dc.subject.mesh	Dementia	en_US
dc.subject.mesh	Severity of Illness Index	en_US
dc.subject.mesh	Adolescent	en_US
dc.subject.mesh	Adult	en_US
dc.subject.mesh	Aged	en_US
dc.subject.mesh	Costs and Cost Analysis	en_US
dc.subject.mesh	Female	en_US
dc.subject.mesh	Interviews as Topic	en_US
dc.subject.mesh	Male	en_US
dc.subject.mesh	Middle Aged	en_US
dc.subject.mesh	Multivariate Analysis	en_US
dc.subject.mesh	Patient Preference	en_US
dc.subject.mesh	Proxy	en_US
dc.subject.mesh	Psychometrics	en_US
dc.subject.mesh	Quality of Life	en_US
dc.subject.mesh	Quality-Adjusted Life Years	en_US
dc.subject.mesh	Surveys and Questionnaires	en_US
dc.subject.mesh	United Kingdom	en_US
dc.subject.mesh	Value of Life	en_US
dc.subject.mesh	Young Adult	en_US
dc.title	Estimating preference-based single index measures for dementia using DEMQOL and DEMQOL-proxy	en_US
dc.type	Journal Article
utslib.citation.volume	2	en_US
utslib.citation.volume	15	en_US
utslib.for	1117 Public Health and Health Services	en_US
utslib.for	1402 Applied Economics	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	closed_access
pubs.issue	2	en_US
pubs.publication-status	Published	en_US
pubs.volume	15	en_US

Abstract:

Objective: Although condition-specific measures are commonly used in dementia, they cannot be used in analyses of cost per quality-adjusted life-year because they do not incorporate preferences. We addressed this gap by estimating two preference-based single index measures: the DEMQOL-U from the self-report DEMQOL (mild-to-moderate dementia severity) and the DEMQOL-Proxy-U from the carer-report DEMQOL-Proxy (all levels of dementia severity). Methods: We conducted valuation studies on 593 members of the general population (306 for the DEMQOL-U, 287 for the DEMQOL-Proxy-U) using the time trade-off elicitation technique. We then fitted a range of mean and individual-level multivariate regression models to the valuation data to derive preference weights for each measure. We applied the estimated weights to a large, clinically representative sample. Results: Mean observed time trade-off values ranged from 0.18 to 0.95 for DEMQOL-U and from 0.33 to 0.96 for DEMQOL-Proxy-U. The best performing models for each measure were main effects models estimated using individual-level data. DEMQOL-Proxy-U had inconsistent but insignificant coefficient estimates for one dimension. Models were estimated to remove these inconsistencies. Conclusion: Preference-based single index measures from DEMQOL and DEMQOL-Proxy for use in economic evaluation will enable economic evaluation using quality-adjusted life-years to be undertaken for people across the full range of dementia severity. Future research will examine how the utilities from each measure can be used and combined to populate cost-effectiveness models. Copyright © 2012, International Society for Pharmacoeconomics and Outcomes Research (ISPOR). Published by Elsevier Inc.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/114107