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Developing prognostic models for health care utilization in patients with work-related mental health problems
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...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10405445/ https://www.ncbi.nlm.nih.gov/pubmed/37550656 http://dx.doi.org/10.1186/s12913-023-09802-z |
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author | Willert, Morten Vejs Christiansen, David Høyrup Dalgaard, Ligaya Vestergaard, Jesper Medom Andersen, Johan Hviid Kyndi, Marianne |
author_facet | Willert, Morten Vejs Christiansen, David Høyrup Dalgaard, Ligaya Vestergaard, Jesper Medom Andersen, Johan Hviid Kyndi, Marianne |
author_sort | Willert, Morten Vejs |
collection | PubMed |
description | 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. TRIAL REGISTRATION: The study was registered at clinicaltrials.gov (Identifier: NCT04459793) prior to analyses. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12913-023-09802-z. |
format | Online Article Text |
id | pubmed-10405445 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-104054452023-08-08 Developing prognostic models for health care utilization in patients with work-related mental health problems Willert, Morten Vejs Christiansen, David Høyrup Dalgaard, Ligaya Vestergaard, Jesper Medom Andersen, Johan Hviid Kyndi, Marianne BMC Health Serv Res Research 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. TRIAL REGISTRATION: The study was registered at clinicaltrials.gov (Identifier: NCT04459793) prior to analyses. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12913-023-09802-z. BioMed Central 2023-08-07 /pmc/articles/PMC10405445/ /pubmed/37550656 http://dx.doi.org/10.1186/s12913-023-09802-z Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Willert, Morten Vejs Christiansen, David Høyrup Dalgaard, Ligaya Vestergaard, Jesper Medom Andersen, Johan Hviid Kyndi, Marianne Developing prognostic models for health care utilization in patients with work-related mental health problems |
title | Developing prognostic models for health care utilization in patients with work-related mental health problems |
title_full | Developing prognostic models for health care utilization in patients with work-related mental health problems |
title_fullStr | Developing prognostic models for health care utilization in patients with work-related mental health problems |
title_full_unstemmed | Developing prognostic models for health care utilization in patients with work-related mental health problems |
title_short | Developing prognostic models for health care utilization in patients with work-related mental health problems |
title_sort | developing prognostic models for health care utilization in patients with work-related mental health problems |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10405445/ https://www.ncbi.nlm.nih.gov/pubmed/37550656 http://dx.doi.org/10.1186/s12913-023-09802-z |
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