UMMS Affiliation

Department of Quantitative Health Sciences

Publication Date

10-21-2004

Document Type

Article

Subjects

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

Journal/Book/Conference Title

Health care financing review

PubMed ID

15493441

Related Resources

Link to Article in PubMed

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