Replicability of SF-36 summary scores by the SF-12 in stroke patients

Stroke. 1999 Jun;30(6):1213-7. doi: 10.1161/01.str.30.6.1213.

Abstract

Background and purpose: The replicability of the physical and mental component summary scores of the Short Form (SF)-36 has been established using the SF-12 in selected patient populations but has yet to be assessed in stroke patients. If the summary scores of the SF-12 are highly correlated with those of the SF-36, the benefits of using a shorter health-status measure may be realized without substantial loss of information or precision. Both self-reported and proxy assessments were evaluated for replicability.

Methods: Intraclass correlation coefficients (ICCs) and linear regression were used to assess the ability of the SF-12 physical component summary (PCS-12) scores to predict PCS-36 scores and the SF-12 mental component summary (MCS-12) scores to predict MCS-36 scores. Multivariate regression was used to explore the relationship between SF-12 and SF-36 scores.

Results: The MCS-12 and PCS-12 scores were strongly correlated with the corresponding SF-36 summary scores for surveys completed by proxy or self-report (ICCs ranged from 0.954 to 0.973). Regression analysis of the proxy assessments indicated that patient age was an important effect modifier in the relationship between MCS-12 and MCS-36 scores.

Conclusions: The SF-12 reproduced SF-36 summary scores without substantial loss of information in stroke patients. Accordingly, the SF-12 can be used at the summary score level as a substitute for the SF-36 in stroke survivors capable of self-report. However, the mental health summary scores of proxy assessments are influenced by patient age, thereby limiting the replicability of the SF-36 by the SF-12 under these conditions.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Aged
  • Cerebrovascular Disorders / physiopathology*
  • Cerebrovascular Disorders / psychology*
  • Female
  • Health Status Indicators*
  • Health Status*
  • Humans
  • Male
  • Quality of Life*
  • Regression Analysis
  • Reproducibility of Results
  • Self-Assessment