Deriving utility scores from the SF-36 health instrument using Rasch analysis

Graeme Hawthorne, Konstancja Densley, Julie F. Pallant, Duncan Mortimer, Leonie Segal

    Research output: Contribution to journalArticle

    20 Citations (Scopus)

    Abstract

    Background: Utility scores for use in cost-utility analysis may be imputed from the SF-36 health instrument using various techniques, typically regression analysis. This paper explored imputation using partial credit Rasch analysis. Method: Data from the Assessment of Quality of Life (AQoL) instrument validation study were re-analysed (n = 996 inpatients, outpatients and a community sample). For each AQoL item, factor analysis identified those SF-36 items forming a unidimensional scale. Rasch analysis located scale logit scores for these SF-36 items. The logit scores were used to assign AQoL item scores. The standard AQoL scoring algorithm was then applied to obtain the utility scores. Results: Many SF-36 items were limited predictors of AQoL items; some items from both instruments obtained disordered thresholds. All imputed scores were consistent with the AQoL model and fell within AQoL score boundaries. The explained variance between imputed and true AQoL scores was 61%. Discussion: Rasch-imputed mapping, unlike many regression-based algorithms, produced results consistent with the axioms of utility measurement, while the proportion of explained variance was similar to regression-based modelling. Item properties on both instruments implied that some items should be revised using Rasch analysis. The methods and results may be used by researchers needing to impute utility scores from SF-36 health scores.

    LanguageEnglish
    Pages1183-1193
    Number of pages11
    JournalQuality of Life Research
    Volume17
    Issue number9
    DOIs
    Publication statusPublished - 1 Nov 2008

    Keywords

    • AQoL
    • Cost-utility analysis
    • Health services research
    • Item response theory
    • Quality of life
    • Rasch analysis
    • SF-36

    ASJC Scopus subject areas

    • Public Health, Environmental and Occupational Health

    Cite this

    Hawthorne, Graeme ; Densley, Konstancja ; Pallant, Julie F. ; Mortimer, Duncan ; Segal, Leonie. / Deriving utility scores from the SF-36 health instrument using Rasch analysis. In: Quality of Life Research. 2008 ; Vol. 17, No. 9. pp. 1183-1193.
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    abstract = "Background: Utility scores for use in cost-utility analysis may be imputed from the SF-36 health instrument using various techniques, typically regression analysis. This paper explored imputation using partial credit Rasch analysis. Method: Data from the Assessment of Quality of Life (AQoL) instrument validation study were re-analysed (n = 996 inpatients, outpatients and a community sample). For each AQoL item, factor analysis identified those SF-36 items forming a unidimensional scale. Rasch analysis located scale logit scores for these SF-36 items. The logit scores were used to assign AQoL item scores. The standard AQoL scoring algorithm was then applied to obtain the utility scores. Results: Many SF-36 items were limited predictors of AQoL items; some items from both instruments obtained disordered thresholds. All imputed scores were consistent with the AQoL model and fell within AQoL score boundaries. The explained variance between imputed and true AQoL scores was 61{\%}. Discussion: Rasch-imputed mapping, unlike many regression-based algorithms, produced results consistent with the axioms of utility measurement, while the proportion of explained variance was similar to regression-based modelling. Item properties on both instruments implied that some items should be revised using Rasch analysis. The methods and results may be used by researchers needing to impute utility scores from SF-36 health scores.",
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    Deriving utility scores from the SF-36 health instrument using Rasch analysis. / Hawthorne, Graeme; Densley, Konstancja; Pallant, Julie F.; Mortimer, Duncan; Segal, Leonie.

    In: Quality of Life Research, Vol. 17, No. 9, 01.11.2008, p. 1183-1193.

    Research output: Contribution to journalArticle

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