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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.

Publikation: Beiträge in Zeitschriften › Zeitschriftenaufsätze › Forschung › begutachtet

Standard

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

Harvard

Geraedts, AS, Fokkema, M, Kleiboer, A, Smit, F, Wiezer, NW, Majo, MC, van Mechelen, W, Cuijpers, P & Penninx, BW 2014, 'The longitudinal prediction of costs due to health care uptake and productivity losses in a cohort of employees with and without depression or anxiety.', Journal of Occupational and Environmental Medicine, Jg. 56, Nr. 8, S. 794-801. https://doi.org/10.1097/JOM.0000000000000234

APA

Geraedts, A. S., Fokkema, M., Kleiboer, A., Smit, F., Wiezer, N. W., Majo, M. C., van Mechelen, W., Cuijpers, P., & Penninx, B. W. (2014). The longitudinal prediction of costs due to health care uptake and productivity losses in a cohort of employees with and without depression or anxiety. Journal of Occupational and Environmental Medicine, 56(8), 794-801. https://doi.org/10.1097/JOM.0000000000000234

Vancouver

Geraedts AS, Fokkema M, Kleiboer A, Smit F, Wiezer NW, Majo MC et al. The longitudinal prediction of costs due to health care uptake and productivity losses in a cohort of employees with and without depression or anxiety. Journal of Occupational and Environmental Medicine. 2014 Aug;56(8):794-801. doi: 10.1097/JOM.0000000000000234

Bibtex

@article{83e4c97c9ddf4e658f06c7f9401dd162,
title = "The longitudinal prediction of costs due to health care uptake and productivity losses in a cohort of employees with and without depression or anxiety.",
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.",
keywords = "Health sciences",
author = "Geraedts, {A. S.} and M. Fokkema and Annet Kleiboer and Filip Smit and Wiezer, {N. W.} and Majo, {M. C.} and {van Mechelen}, W. and Pim Cuijpers and Penninx, {Brenda W.}",
year = "2014",
month = aug,
doi = "10.1097/JOM.0000000000000234",
language = "English",
volume = "56",
pages = "794--801",
journal = "Journal of Occupational and Environmental Medicine",
issn = "1076-2752",
publisher = "Lippincott Williams and Wilkins Ltd.",
number = "8",

}

RIS

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 -

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