Population-based preference weights for the Adult Social Care Outcomes Toolkit (ASCOT) for service users for Austria: Findings from a best-worst experiment

Assma Hajji, Birgit Trukeschitz, Juliette Malley, Laurie Batchelder, Eirini Saloniki, Ismo Linnosmaa, Hui Lu

Publication: Scientific journalJournal articlepeer-review

Abstract

Background: The Adult Social Care Outcomes Toolkit (ASCOT) measures quality-of-life (QoL) outcomes of long-term care (LTC) service provision. Country-specificpreference weights are required to calculate ASCOT scores. ASCOT has been translated into German, but lacks preference weights for German-speaking countries.

Objectives: This paper aims to establish Austrian preference weights for the German version of the ASCOT service user measure, using best-worst scaling (BWS).

Methods: Data were collected using an online BWS-experiment from a general population sample (n=1,000) of Austrian adults. We use a scale-adjusted multinomiallogit model (S-MNL) accounting for positioning effects to estimate preference weights.

Results: Austrians value the top attribute-levels in the ASCOT domains 'being meaningfully occupied during the day' and 'having control over daily life' most highly,whereas high needs were the least preferred in the domains 'dignity' and 'social participation'. From a methods perspective, we found significant positioning effectsonly for 'best' choices, with statements at the top of a list being picked more often than those further down in the list. Factors related to survey completion (self-assessed understanding of the tasks and survey completion time) were shown to have the greatest effect on individual choice consistency.

Discussion:The paper provides Austrian preference weights for the German version of ASCOT for service users. The weights also provide insight into how Austriansvalue different LTC-QoL states. Future research may investigate how values for different LTC-QoL states differ between socioeconomic groups.
Original languageEnglish
Pages (from-to)1 - 10
JournalSocial Science and Medicine
Volume250
Issue number11279
DOIs
Publication statusPublished - 2020

Austrian Classification of Fields of Science and Technology (ÖFOS)

  • 502046 Economic policy
  • 504007 Empirical social research
  • 509005 Gerontology
  • 509012 Social policy

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