Mapping the SF-12 to preference-based instruments: convergent validity in a low-income, minority population

Med Care. 2003 Nov;41(11):1277-83. doi: 10.1097/01.MLR.0000093480.58308.D8.

Abstract

Background: The profile-based SF-12 has a low respondent burden and is used widely in clinical settings to monitor health and evaluate programs. Deriving preference scores for the SF-12 health profile would permit its use in cost-effectiveness analyses. Previous mapping studies of SF family instruments to preference-based instruments have not examined convergent validity or performance in low-income, minority populations.

Objectives: To map the SF-12 to the EuroQol (EQ-5D Index) and the Health Utilities Index Mark 3 (HUI3) in a low-income, predominantly minority sample.

Research design: We used a cross-sectional survey data.

Subjects: We studied a convenience sample of 240 low-income, predominantly Latino and black patients attending a community health center in New York.

Measures: We used separate regressions of the EQ-5D Index and HUI3 onto the physical (PCS-12) and mental (MCS-12) components of the SF-12 scores as measures.

Results: For the EQ-5D Index regression, the adjusted variance explained was 58% (bootstrap validation 95% confidence interval [CI], 46-66). For the HUI3 regression, the adjusted variance explained was 51% (bootstrap 95% CI, 39-59). The correlation coefficient between the 2 predicted measures was 0.96. The correlation of the predicted HUI3 with the EQ-5D Index (0.73) and the predicted EQ-5D Index with the HUI3 (0.70) exceeded that between the 2 original preference-based measures themselves (0.69).

Conclusions: These pilot results suggest that the SF-12 could be successfully mapped to both the EQ-5D Index and HUI3, yielding preference-based scores that demonstrate convergent validity in a low-income, minority sample.

Publication types

  • Comparative Study
  • Validation Study

MeSH terms

  • Adolescent
  • Adult
  • Aged
  • Asian People
  • Black or African American
  • Community Health Services
  • Confidence Intervals
  • Cost-Benefit Analysis
  • Cross-Sectional Studies
  • Education
  • Female
  • Health Status*
  • Health Surveys*
  • Hispanic or Latino
  • Humans
  • Income
  • Male
  • Middle Aged
  • Minority Groups*
  • Native Hawaiian or Other Pacific Islander
  • Pilot Projects
  • Surveys and Questionnaires*
  • White People