The Longitudinal Prediction of Costs due to Health Care Uptake and Productivity Losses in a Cohort of Employees With and Without Depression or Anxiety

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...

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Bibliographic Details
Published in:Journal of occupational and environmental medicine 2014-08, Vol.56 (8), p.794-801
Main Authors: Geraedts, Anna S., Fokkema, Marjolein, Kleiboer, Annet M., Smit, Filip, Wiezer, Noortje W., Majo, Maria Cristina, van Mechelen, Willem, Cuijpers, Pim, Penninx, Brenda W. J. H.
Format: Article
Language:English
Subjects:
Absenteeism
Adolescent
Adult
Adult and adolescent clinical studies
Aged
Anxiety
Anxiety Disorders - economics
Biological and medical sciences
Cost estimates
Depression
Depressive Disorder - economics
Disease prevention
Efficiency, Organizational
Female
Health Care Costs - statistics & numerical data
Health Care Costs - trends
Health care expenditures
Health Services - utilization
Humans
Intervention
Male
Medical diagnosis
Medical sciences
Mental depression
Middle Aged
Mood disorders
Netherlands
Occupational Health - economics
Original Article
Psychology. Psychoanalysis. Psychiatry
Psychopathology. Psychiatry
Young Adult
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Summary: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.
ISSN:1076-2752
1536-5948
DOI:10.1097/JOM.0000000000000234