Valuing informal carers’ quality of life using best-worst scaling—Finnish preference weights for the Adult Social Care Outcomes Toolkit for carers (ASCOT-Carer)

Lien Nguyen (), Hanna Jokimäki, Ismo Linnosmaa, Eirini-Christina Saloniki, Laurie Batchelder, Juliette Malley, Hui Lu, Peter Burge, Birgit Trukeschitz and Julien Forder
Additional contact information
Lien Nguyen: Finnish Institute for Health and Welfare (THL)
Hanna Jokimäki: Finnish Institute for Health and Welfare (THL)
Ismo Linnosmaa: Finnish Institute for Health and Welfare (THL)
Laurie Batchelder: University of Kent
Juliette Malley: London School of Economics and Political Science
Hui Lu: RAND Europe
Peter Burge: RAND Europe
Birgit Trukeschitz: WU Vienna University of Economics and Business
Julien Forder: University of Kent

The European Journal of Health Economics, 2022, vol. 23, issue 3, No 3, 357-374

Abstract: Abstract This study developed Finnish preference weights for the seven-attribute Adult Social Care Outcomes Toolkit for carers (ASCOT-Carer) and investigated survey fatigue and learning in best-worst scaling (BWS) experiments. An online survey that included a BWS experiment using the ASCOT-Carer was completed by a sample from the general population in Finland. A block of eight BWS profiles describing different states from the ASCOT-Carer were randomly assigned to each respondent, who consecutively made four choices (best, worst, second best and second worst) per profile. The analysis panel data had 32,160 choices made by 1005 respondents. A scale multinomial logit (S-MNL) model was used to estimate preference weights for 28 ASCOT-Carer attribute levels. Fatigue and learning effects were examined as scale heterogeneity. Several specifications of the generalised MNL model were employed to ensure the stability of the preference estimates. The most and least-valued states were the top and bottom levels of the control over daily life attribute. The preference weights were not on a cardinal scale. We observed the position effect of the attributes on preferences associated with the best or second-best choices. A learning effect was found. The established preference weights can be used in evaluations of the effects of long-term care services and interventions on the quality of life of service users and caregivers. The learning effect implies a need to develop study designs that ensure equal consideration to all profiles (choice tasks) in a sequential choice experiment.

Keywords: Adult Social Care Outcomes Toolkit for carers (ASCOT-Carer); Informal care; Outcome measurement; Quality of life; Evaluation; Best-worst scaling (BWS); Scale multinomial logit; Learning and fatigue effects (search for similar items in EconPapers)
JEL-codes: C35 C90 I18 I31 I39 (search for similar items in EconPapers)
Date: 2022
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Citations: View citations in EconPapers (1)

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DOI: 10.1007/s10198-021-01356-3

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