UMMS Affiliation
Department of Quantitative Health Sciences
Date
10-21-2004
Document Type
Article
Medical Subject Headings
Adult; Aged; Aged, 80 and over; *Data Collection; Factor Analysis, Statistical; Female; Humans; Male; *Managed Care Programs; *Medicare; Middle Aged; Outcome Assessment (Health Care); *Psychometrics; United States
Disciplines
Biostatistics | Epidemiology | Health Services Research
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.
Rights and Permissions
Citation: Health Care Financ Rev. 2004 Summer;25(4):5-25. Link to article on publisher's site
