Mapping the SF-12 to preference-based instruments

Convergent validity in a low-income, minority population

Peter Franks, Erica I. Lubetkin, Marthe R. Gold, Daniel J Tancredi

Research output: Contribution to journalArticle

59 Citations (Scopus)

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% (boot-strap 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.

Original languageEnglish (US)
Pages (from-to)1277-1283
Number of pages7
JournalMedical Care
Volume41
Issue number11
DOIs
StatePublished - Nov 2003

Fingerprint

Poverty
low income
minority
Health
health
Confidence Intervals
Community Health Centers
regression
confidence
Hispanic Americans
Cost-Benefit Analysis
Cross-Sectional Studies

Keywords

  • EQ-5D
  • Health status
  • HUI Mark 3
  • Low-income
  • Minority
  • SF-12

ASJC Scopus subject areas

  • Nursing(all)
  • Public Health, Environmental and Occupational Health
  • Health(social science)
  • Health Professions(all)

Cite this

Mapping the SF-12 to preference-based instruments : Convergent validity in a low-income, minority population. / Franks, Peter; Lubetkin, Erica I.; Gold, Marthe R.; Tancredi, Daniel J.

In: Medical Care, Vol. 41, No. 11, 11.2003, p. 1277-1283.

Research output: Contribution to journalArticle

@article{761dc5a8940a4712bef4cc0d4a41d5ef,
title = "Mapping the SF-12 to preference-based instruments: Convergent validity in a low-income, minority population",
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{\%} (boot-strap 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.",
keywords = "EQ-5D, Health status, HUI Mark 3, Low-income, Minority, SF-12",
author = "Peter Franks and Lubetkin, {Erica I.} and Gold, {Marthe R.} and Tancredi, {Daniel J}",
year = "2003",
month = "11",
doi = "10.1097/01.MLR.0000093480.58308.D8",
language = "English (US)",
volume = "41",
pages = "1277--1283",
journal = "Medical Care",
issn = "0025-7079",
publisher = "Lippincott Williams and Wilkins",
number = "11",

}

TY - JOUR

T1 - Mapping the SF-12 to preference-based instruments

T2 - Convergent validity in a low-income, minority population

AU - Franks, Peter

AU - Lubetkin, Erica I.

AU - Gold, Marthe R.

AU - Tancredi, Daniel J

PY - 2003/11

Y1 - 2003/11

N2 - 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% (boot-strap 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.

AB - 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% (boot-strap 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.

KW - EQ-5D

KW - Health status

KW - HUI Mark 3

KW - Low-income

KW - Minority

KW - SF-12

UR - http://www.scopus.com/inward/record.url?scp=0642372940&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0642372940&partnerID=8YFLogxK

U2 - 10.1097/01.MLR.0000093480.58308.D8

DO - 10.1097/01.MLR.0000093480.58308.D8

M3 - Article

VL - 41

SP - 1277

EP - 1283

JO - Medical Care

JF - Medical Care

SN - 0025-7079

IS - 11

ER -