Developing prognostic models for health care utilization in patients with work-related mental health problems

Morten Vejs Willert*, David Høyrup Christiansen, Ligaya Dalgaard, Jesper Medom Vestergaard, Johan Hviid Andersen, Marianne Kyndi

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Abstract

Background: The long-term prognosis for employees with work-related mental health problems is unclear. We aim to describe long-term trends in health care utilization (HCU) and develop multivariable prognostic models for long-term mental health care utilization.

Methods: From the Danish Occupational Medicine Cohort we included mental health patients (N = 17,822) assessed from 2000 to 2013 at Departments of Occupational Medicine. Outcomes were general health (general practitioner, somatic hospital) and mental health (psychiatrist/psychologist, psychiatric hospital) HCU obtained from registries five years before/after assessment. The 10-year period was divided into phases relative to assessment: 5 - 3 years before, 2 years before/after, and 3-5 years after. We developed gender-stratified Lasso-penalized multivariable prognostic models for HCU 3-5 years after assessment assessing both calibration and discrimination.

Results: Prevalent HCU for general practitioner, psychiatrist/psychologist and psychiatric hospital services was relatively stable 5 - 3 years prior to assessment, then rising during the 2 years before/after. At 3-5 years after assessment prevalent general practitioner HCU declined to previous levels, while prevalent HCU for psychologist/psychiatrist and psychiatric hospital services remained elevated compared to previous levels during years 5 - 3. Prognostic models for long-term psychologist/psychiatrist and psychiatric hospital HCU indicated acceptable calibration and modest discrimination.

Conclusions: Prevalent HCU rose two years before/after assessment and remained elevated for psychiatrist/psychologist and psychiatric hospital HCU 3-5 years after. Gender-stratified prognostic models were developed for long-term mental health HCU, but discrimination and calibration should be further improved before out-of-sample application for personal prognosis.
OriginalsprogEngelsk
Artikelnummer834
TidsskriftBMC Health Services Research
Vol/bind23
ISSN1472-6963
DOI
StatusUdgivet - 7 aug. 2023

Bibliografisk note

Funding Information:
The study was funded by the Danish Research Fund for the Work Environment (Grant-no. 20185100851).

Publisher Copyright:
© 2023, BioMed Central Ltd., part of Springer Nature.

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