Accuracy of health-related quality of life assessment: What is the benefit of incorporating patients' preferences for domain functioning?

Kristina G. Gorbatenko-Roth, Irwin P. Levin, Elizabeth M. Altmaier, Bradley N. Doebbeling

Research output: Contribution to journalArticlepeer-review

11 Scopus citations

Abstract

This study investigated the accuracy benefit of incorporating patients' preferences for domains of functioning into health-related quality of life (HRQOL) measurement. Using policy-capturing techniques, 102 medical outpatients judged the HRQOL of 16 scenarios describing varying levels of functioning in 3 domains. For each participant, regression analysis determined relative domain preferences and 2 decision models were built: one incorporating (preference-weighted) and one ignoring (equally weighted) domain preferences. To assess accuracy, the average proportion of judgment variance accounted for by each model was determined and both accounted for approximately 50%. However, for patients showing the greatest differences in importance across domains, the preference-weighted model was more accurate. Findings are discussed in the context of enhancing HRQOL assessment.

Original languageEnglish (US)
Pages (from-to)136-140
Number of pages5
JournalHealth Psychology
Volume20
Issue number2
DOIs
StatePublished - 2001
Externally publishedYes

Keywords

  • Decision making
  • HRQOL
  • Measurement
  • Preferences
  • Quality of life
  • Social judgment theory

ASJC Scopus subject areas

  • Applied Psychology
  • Psychiatry and Mental health

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