Using the SF-12 health status measure to improve predictions of medical expenditures

Medical Care
John A FleishmanMark Kosinski

Abstract

Relatively few studies have used self-reported health status in models to predict medical expenditures, and many of these have used the SF-36. We sought to examine the ability of the briefer SF-12 measure of health status to predict medical expenditures in a nationally representative sample. We used data from the 2000-2001 panel of the Medical Expenditure Panel Study. Respondents (n = 5542) completed the SF-12 in a questionnaire. Interviews obtained data on demographics and selected chronic conditions. Data on expenditures incurred subsequent to the interview were obtained in part from provider records. We examined different regression model specifications and compared different statistical estimation techniques. Adding the SF-12 to a regression model improved the prediction of subsequent medical expenditures. In a model with only age and gender, adding the SF-12 increased R from 0.06 to 0.13. The coefficients for the Physical Component Summary (PCS) and the Mental Component Summary (MCS) of the SF-12 for this model were -0.045 (P < 0.01) and -0.012 (P < 0.01), respectively. In a model including demographic characteristics, chronic conditions, and previous expenditures, adding the SF-12 increased the R from 0.26 to 0.29. The co...Continue Reading

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