Identifying workers at risk for high health care expenditures: a short questionnaire

Disease Management : DM
C BoultPeter Yedidia

Abstract

The objective of this study was to create and measure the predictive accuracy of a brief questionnaire for screening new workers to identify those at increased risk for generating high health care insurance expenditures during the following year. Such an instrument could help health plans and providers intervene to mitigate the health risks of identified high-risk workers. We mailed a 53-item questionnaire to members of a "derivation cohort" (adult food processing workers, n = 15496) and obtained records of the eligible respondents' health insurance expenditures during the following year. Using multiple linear regression, we identified eight of the questions that predicted future expenditures most accurately, and created a formula to predict total expenditures from answers to these questions. To validate the formula's predictive accuracy, we used the eight-item questionnaire to survey two "validation cohorts" (transportation workers, n = 7445; and their dependents, n = 5562), inserted responses into the scoring formula, classified respondents into high-risk (top 10%) or low-risk (lower 90%) groupings, and then compared health insurance expenditures generated by the high- and low-risk groups during the following year. In the der...Continue Reading

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Citations

Aug 28, 2009·Radiology·Thomas H GallagherJoann G Elmore
Dec 12, 2007·Journal of Evaluation in Clinical Practice·Ariel Linden, Steven Goldberg
Dec 19, 2014·American Journal of Public Health·Beth MalinowskiLaura Stock
Jun 5, 2010·Journal of Occupational and Environmental Medicine·David R AndersonBenjamin J Heinz

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