Valuing informal carers' quality of life using best-worst scaling-Finnish preference weights for the Adult Social Care Outcomes Toolkit for carers (ASCOT-Carer).
Adult Social Care Outcomes Toolkit for carers (ASCOT-Carer)
Best-worst scaling (BWS)
Evaluation
Informal care
Learning and fatigue effects
Outcome measurement
Quality of life
Scale multinomial logit
Journal
The European journal of health economics : HEPAC : health economics in prevention and care
ISSN: 1618-7601
Titre abrégé: Eur J Health Econ
Pays: Germany
ID NLM: 101134867
Informations de publication
Date de publication:
Apr 2022
Apr 2022
Historique:
received:
03
07
2020
accepted:
13
07
2021
pubmed:
2
9
2021
medline:
1
4
2022
entrez:
1
9
2021
Statut:
ppublish
Résumé
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.
Identifiants
pubmed: 34468882
doi: 10.1007/s10198-021-01356-3
pii: 10.1007/s10198-021-01356-3
pmc: PMC8964536
doi:
Types de publication
Clinical Study
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
357-374Subventions
Organisme : NORFACE
ID : 462-14-160
Informations de copyright
© 2021. The Author(s).
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