Psychometric Evaluation of the SF-36 Health Survey in Medicare Managed Care

Overview

Journal Health Care Financ Rev

Specialty Health Services

Date 2004 Oct 21

PMID 15493441

Citations 91

Authors

Barbara Gandek

Samuel J Sinclair

Mark Kosinski

John E Ware Jr

Affiliations

Soon will be listed here.

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.

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