title: Psychometric evaluation of the SF-36 health survey in Medicare managed care.
abstract: Data quality and scoring assumptions for the SF-36 Health Survey were evaluated among the elderly and disabled, using 1998 Cohort I baseline Medicare HOS data (n=177,714). Missing data rates were low, and scoring assumptions were met. Internal consistency reliability was 0.83 to 0.93 for the eight scales and 0.94 and 0.89, respectively, for the physical (PCS) and mental (MCS) component summary measures. Results declined with increased risk factors (e.g., older age, more chronic conditions), but were well above accepted standards for all subgroups. These findings support using standard algorithms for scoring the SF-36 in the HOS and subgroup analyses of HOS data.
authors.affiliation: Health Assessment Lab and Tufts University School of Medicine, Waltham, MA 02451, USA. bgandek@hal-health.org
authors.forename: Barbara
authors.initials: B
authors.lastname: Gandek
authors.forename: Samuel J
authors.initials: SJ
authors.lastname: Sinclair
authors.forename: Mark
authors.initials: M
authors.lastname: Kosinski
authors.forename: John E
authors.initials: JE
authors.lastname: Ware
mesh_terms: D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D003625:Data Collection / Q000295:instrumentation* / Q000706:statistics & numerical data*; D005163:Factor Analysis, Statistical; D005260:Female; D006801:Humans; D008297:Male; D008329:Managed Care Programs; D006278:Medicare; D008875:Middle Aged; D017063:Outcome Assessment, Health Care; D011594:Psychometrics; D014481:United States