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

Author

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  • Nguyen, Lien
  • Jokimäki, Hanna
  • Linnosmaa, Ismo
  • Saloniki, Eirini Christina
  • Batchelder, Laurie
  • Malley, Juliette
  • Lu, Hui
  • Burge, Peter
  • Trukeschitz, Birgit
  • Forder, Julien

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.

Suggested Citation

  • Nguyen, Lien & Jokimäki, Hanna & Linnosmaa, Ismo & Saloniki, Eirini Christina & Batchelder, Laurie & Malley, Juliette & Lu, Hui & Burge, Peter & Trukeschitz, Birgit & Forder, Julien, 2022. "Valuing informal carers’ quality of life using best-worst scaling—Finnish preference weights for the Adult Social Care Outcomes Toolkit for carers (ASCOT-Carer)," LSE Research Online Documents on Economics 111885, London School of Economics and Political Science, LSE Library.
    • Handle: RePEc:ehl:lserod:111885
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    More about this item

    Keywords

    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;
    All these keywords.

    JEL classification:

    • C35 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions
    • C90 - Mathematical and Quantitative Methods - - Design of Experiments - - - General
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health
    • I31 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - General Welfare, Well-Being
    • I39 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Other

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