The longitudinal prediction of costs due to health care uptake and productivity losses in a cohort of employees with and without depression or anxiety.

A.S. Geraedts, M. Fokkema, A.M. Kleiboer, H.F.E. Smit, N.W. Wiezer, M.C. Majo, W. van Mechelen, P. Cuijpers, B.W.J.H. Penninx

Research output: Contribution to JournalArticleAcademicpeer-review

Abstract

Objective: To examine how various predictors and subgroups of respondents contribute to the prediction of health care and productivity costs in a cohort of employees. Methods: We selected 1548 employed people from a cohort study with and without depressive and anxiety symptoms or disorders. Prediction rules, using the RuleFit program, were applied to identify predictors and subgroups of respondents, and to predict estimations of subsequent 1-year health care and productivity costs. RESULTS:: Symptom severity and diagnosis of depression and anxiety were the most important predictors of health care costs. Depressive symptom severity was the most important predictor for productivity costs. Several demographic, social, and work predictors did not predict economic costs. Conclusions: Our data suggest that from a business perspective it can be beneficial to offer interventions aimed at prevention of depression and anxiety. Copyright © 2014 by American College of Occupational and Environmental Medicine.
Original languageEnglish
Pages (from-to)794-801
Number of pages8
JournalJournal of Occupational and Environmental Medicine
Volume56
Issue number8
DOIs
Publication statusPublished - 2014

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