The longitudinal prediction of costs due to health care uptake and productivity losses in a cohort of employees with and without depression or anxiety.
Publikation: Beiträge in Zeitschriften › Zeitschriftenaufsätze › Forschung › begutachtet
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The longitudinal prediction of costs due to health care uptake and productivity losses in a cohort of employees with and without depression or anxiety. / Geraedts, A. S.; Fokkema, M.; Kleiboer, Annet et al.
in: Journal of Occupational and Environmental Medicine, Jahrgang 56, Nr. 8, 08.2014, S. 794-801.Publikation: Beiträge in Zeitschriften › Zeitschriftenaufsätze › Forschung › begutachtet
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TY - JOUR
T1 - The longitudinal prediction of costs due to health care uptake and productivity losses in a cohort of employees with and without depression or anxiety.
AU - Geraedts, A. S.
AU - Fokkema, M.
AU - Kleiboer, Annet
AU - Smit, Filip
AU - Wiezer, N. W.
AU - Majo, M. C.
AU - van Mechelen, W.
AU - Cuijpers, Pim
AU - Penninx, Brenda W.
PY - 2014/8
Y1 - 2014/8
N2 - 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.
AB - 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.
KW - Health sciences
UR - http://www.scopus.com/inward/record.url?scp=84905915414&partnerID=8YFLogxK
U2 - 10.1097/JOM.0000000000000234
DO - 10.1097/JOM.0000000000000234
M3 - Journal articles
C2 - 25099404
VL - 56
SP - 794
EP - 801
JO - Journal of Occupational and Environmental Medicine
JF - Journal of Occupational and Environmental Medicine
SN - 1076-2752
IS - 8
ER -