Estimation of a preference-based carer experience scale

Al-Janabi, H; Flynn, TN; Coast, J

Estimation of a preference-based carer experience scale

Al-Janabi, H Flynn, TN Coast, J

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Publication Type:: Journal Article
Citation:: Medical Decision Making, 2011, 31 (3), pp. 458 - 468
Issue Date:: 2011-05-01

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Field	Value	Language
dc.contributor.author	Al-Janabi, H	en_US
dc.contributor.author	Flynn, TN	en_US
dc.contributor.author	Coast, J	en_US
dc.date.issued	2011-05-01	en_US
dc.identifier.citation	Medical Decision Making, 2011, 31 (3), pp. 458 - 468	en_US
dc.identifier.issn	0272-989X	en_US
dc.identifier.uri	http://hdl.handle.net/10453/30700
dc.description.abstract	Background. There is growing interest in incorporating the effects of interventions on unpaid carers in economic evaluation. Current methods focus on using health measures (which neglect important aspects of care-related quality of life) or using carer-specific sum score measures (which are not preference based). Objective. To estimate preference-based index values for a profile measure of the caring experience (the Carer Experience Scale). Methods. Eighteen profiles from the Carer Experience Scale were included in a best-worst scaling experiment. In each profile, respondents were asked to pick the best and worst attribute level from the profiles. The choice task was completed in a postal questionnaire by 162 unpaid carers of older people from 5 geographical locations in the United Kingdom. Logistic regression was used to estimate utility weights for the attribute levels of the Carer Experience Scale. Alternative modeling assumptions were employed to determine the stability of the parameter estimates. These parameter estimates were rescaled so that the profile index values for the Carer Experience Scale lay on a 0-to-100 scale. Results. The results indicate that low levels of "activities" and "getting on" result in larger decrements to utility than other attributes of the caring experience. In general, greater value is placed on differences between the bottom and middle levels of attributes than between the middle and top levels. Alternative modeling approaches had a negligible effect on the index values. Conclusion. The index values reported in this study offer a new preference-based approach to incorporating the effects on carers in economic evaluation, focusing on care (rather than health)-related quality of life. Copyright © 2011 by Society for Medical Decision Making.	en_US
dc.relation.ispartof	Medical Decision Making	en_US
dc.relation.isbasedon	10.1177/0272989X10381280	en_US
dc.subject.classification	Health Policy & Services	en_US
dc.subject.mesh	Humans	en_US
dc.subject.mesh	Caregivers	en_US
dc.subject.mesh	Choice Behavior	en_US
dc.subject.mesh	Female	en_US
dc.subject.mesh	Job Satisfaction	en_US
dc.subject.mesh	Logistic Models	en_US
dc.subject.mesh	Male	en_US
dc.subject.mesh	Middle Aged	en_US
dc.subject.mesh	Models, Psychological	en_US
dc.subject.mesh	Psychometrics	en_US
dc.subject.mesh	Qualitative Research	en_US
dc.subject.mesh	Quality-Adjusted Life Years	en_US
dc.subject.mesh	Surveys and Questionnaires	en_US
dc.title	Estimation of a preference-based carer experience scale	en_US
dc.type	Journal Article
utslib.citation.volume	3	en_US
utslib.citation.volume	31	en_US
utslib.for	1117 Public Health and Health Services	en_US
utslib.for	1402 Applied Economics	en_US
dc.location.activity	WOS:000290909600012
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 - CENSOC - Study of Choice
utslib.copyright.status	closed_access
pubs.issue	3	en_US
pubs.publication-status	Published	en_US
pubs.volume	31	en_US

Abstract:

Background. There is growing interest in incorporating the effects of interventions on unpaid carers in economic evaluation. Current methods focus on using health measures (which neglect important aspects of care-related quality of life) or using carer-specific sum score measures (which are not preference based). Objective. To estimate preference-based index values for a profile measure of the caring experience (the Carer Experience Scale). Methods. Eighteen profiles from the Carer Experience Scale were included in a best-worst scaling experiment. In each profile, respondents were asked to pick the best and worst attribute level from the profiles. The choice task was completed in a postal questionnaire by 162 unpaid carers of older people from 5 geographical locations in the United Kingdom. Logistic regression was used to estimate utility weights for the attribute levels of the Carer Experience Scale. Alternative modeling assumptions were employed to determine the stability of the parameter estimates. These parameter estimates were rescaled so that the profile index values for the Carer Experience Scale lay on a 0-to-100 scale. Results. The results indicate that low levels of "activities" and "getting on" result in larger decrements to utility than other attributes of the caring experience. In general, greater value is placed on differences between the bottom and middle levels of attributes than between the middle and top levels. Alternative modeling approaches had a negligible effect on the index values. Conclusion. The index values reported in this study offer a new preference-based approach to incorporating the effects on carers in economic evaluation, focusing on care (rather than health)-related quality of life. Copyright © 2011 by Society for Medical Decision Making.

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http://hdl.handle.net/10453/30700