Predictors of Mental Health-Related Sick Leave at Referral to Clinical Psychology: A Population-Based Study Using Electronic Health Records.

IF 2.7 3区 医学 Q1 REHABILITATION
César González-Blanch, Sandra Martínez-Gómez, Saioa Pérez-García-Abad, Jose Ruiz-Gutiérrez, María Del Mar Miras-Aguilar, Carmen Ramos-Barrón, Emilio Pariente-Rodrigo, Lourdes Piñán-Setién, Noelia Otero-Cabanillas, María Isabel Priede
{"title":"Predictors of Mental Health-Related Sick Leave at Referral to Clinical Psychology: A Population-Based Study Using Electronic Health Records.","authors":"César González-Blanch, Sandra Martínez-Gómez, Saioa Pérez-García-Abad, Jose Ruiz-Gutiérrez, María Del Mar Miras-Aguilar, Carmen Ramos-Barrón, Emilio Pariente-Rodrigo, Lourdes Piñán-Setién, Noelia Otero-Cabanillas, María Isabel Priede","doi":"10.1007/s10926-026-10414-7","DOIUrl":null,"url":null,"abstract":"<p><strong>Purpose: </strong>To examine factors associated with sick leave status at referral to clinical psychology and its duration using electronic health records (EHRs).</p><p><strong>Methods: </strong>A population-based observational study was conducted with 2,765 patients referred from primary care to mental health units in a regional public healthcare system in Spain in 2021. Sociodemographic and clinical variables were analysed, and a subsample of 400 patients provided additional data on healthcare use and prior sick leave. Logistic regression and generalized linear models were applied.</p><p><strong>Results: </strong>At referral, 22.1% of patients were on sick leave (median = 181 d). In analyses based on the full sample, psychopharmacological treatment and being in a relationship were associated with higher odds, whereas female sex was associated with lower odds. In the subsample including prior history variables, prior sick leave emerged as the strongest predictor of both status and duration.</p><p><strong>Conclusions: </strong>Routine clinical variables have limited predictive value, whereas prior sick leave episodes are a key and readily available indicator of risk for prolonged sick leave. Incorporating standardized clinical and work-related measures into EHRs may facilitate early identification of individuals at risk of prolonged sick leave and permanent work disability.</p>","PeriodicalId":48035,"journal":{"name":"Journal of Occupational Rehabilitation","volume":" ","pages":""},"PeriodicalIF":2.7000,"publicationDate":"2026-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Occupational Rehabilitation","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1007/s10926-026-10414-7","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"REHABILITATION","Score":null,"Total":0}
引用次数: 0

Abstract

Purpose: To examine factors associated with sick leave status at referral to clinical psychology and its duration using electronic health records (EHRs).

Methods: A population-based observational study was conducted with 2,765 patients referred from primary care to mental health units in a regional public healthcare system in Spain in 2021. Sociodemographic and clinical variables were analysed, and a subsample of 400 patients provided additional data on healthcare use and prior sick leave. Logistic regression and generalized linear models were applied.

Results: At referral, 22.1% of patients were on sick leave (median = 181 d). In analyses based on the full sample, psychopharmacological treatment and being in a relationship were associated with higher odds, whereas female sex was associated with lower odds. In the subsample including prior history variables, prior sick leave emerged as the strongest predictor of both status and duration.

Conclusions: Routine clinical variables have limited predictive value, whereas prior sick leave episodes are a key and readily available indicator of risk for prolonged sick leave. Incorporating standardized clinical and work-related measures into EHRs may facilitate early identification of individuals at risk of prolonged sick leave and permanent work disability.

转诊到临床心理学的心理健康相关病假的预测因素:一项基于人群的电子健康记录研究。
目的:利用电子健康记录(EHRs)研究转介到临床心理学的病假状态及其持续时间的相关因素。方法:一项基于人群的观察性研究于2021年在西班牙的一个地区公共卫生系统中对2,765名从初级保健转介到精神卫生单位的患者进行了研究。对社会人口统计学和临床变量进行了分析,400名患者的子样本提供了关于医疗保健使用和先前病假的额外数据。应用逻辑回归和广义线性模型。结果:转诊时,22.1%的患者休病假(中位数= 181 d)。在基于完整样本的分析中,精神药物治疗和恋爱关系与较高的几率相关,而女性与较低的几率相关。在包含先前历史变量的子样本中,先前病假成为状态和持续时间的最强预测因子。结论:常规临床变量的预测价值有限,而以前的病假事件是延长病假风险的关键和现成的指标。将标准化的临床和与工作有关的措施纳入电子病历,可能有助于早期识别有长期病假和永久工作残疾风险的个人。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
CiteScore
5.80
自引率
12.10%
发文量
64
期刊介绍: The Journal of Occupational Rehabilitation is an international forum for the publication of peer-reviewed original papers on the rehabilitation, reintegration, and prevention of disability in workers. The journal offers investigations involving original data collection and research synthesis (i.e., scoping reviews, systematic reviews, and meta-analyses). Papers derive from a broad array of fields including rehabilitation medicine, physical and occupational therapy, health psychology and psychiatry, orthopedics, oncology, occupational and insurance medicine, neurology, social work, ergonomics, biomedical engineering, health economics, rehabilitation engineering, business administration and management, and law.  A single interdisciplinary source for information on work disability rehabilitation, the Journal of Occupational Rehabilitation helps to advance the scientific understanding, management, and prevention of work disability.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信
小红书