Exploring the causal paths and longitudinal impact of telework on health: the TeleHealth survey-data linkage study protocol.

IF 2.3 3区 医学 Q1 MEDICINE, GENERAL & INTERNAL BMJ Open Pub Date : 2025-02-03 DOI:10.1136/bmjopen-2024-096105
Eduardo Antonio Bracho Montes de Oca, Laura Int Panis, Mathieu Verbrugghe, Els De Waegeneer, Barbara Cagnie, Bas de Geus, Robby De Pauw
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Abstract

Background: The transition from traditional office work to telework has accelerated significantly since the late 20th century, especially in light of the COVID-19 pandemic. Despite its widespread adoption, the long-term health impacts of telework remain unclear. This study seeks to clarify the telework-health relationship by integrating longitudinal self-reported health data with health-related administrative records.

Methods and analysis: An online self-reported longitudinal survey with four follow-ups of 6 months each, starting in November 2024, will be set up and linked with administrative data sources. In total, a non-probabilistic sample of 5000 non-teleworkers and teleworkers will be recruited. This survey will mainly assess the effect of teleworking on mental (eg, depression and anxiety) and physical (eg, pain) health. Administrative data (eg, healthcare consumption contacts and socioeconomic status) will be extracted from Belgian administrative data sources (Statistics Belgium and the InterMutualistic Agency) for the same period. This administrative data will be linked to the survey data using the Social Security ID. The underlying relationships between telework and health will be analysed via regression models and mediation models embedded in the natural effects framework. The analysis will aim to (1) identify the impact of telework on self-reported health and administrative data, (2) identify the moderators and mediators between the telework-health relationship, (3) understand the long-term patterns of telework and health interaction and (4) predict the health outcomes of teleworkers. To mitigate biases associated with non-probabilistic samples and attrition, standardised probability weights scoring will be derived from the data.

Ethics and dissemination: This study involves human participants and has been approved by the Ethics Committee of Universitair Ziekenhuis Gent (Nr°. ONZ-2023-0630). The participants will participate in the study after signing an informed consent form. The study will be disseminated in academic journals, on (social) media and on the project website.

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探索远程工作对健康的因果路径和纵向影响:远程医疗调查-数据关联研究协议。
背景:自20世纪末以来,特别是在2019冠状病毒病大流行的背景下,从传统办公室工作向远程工作的转变明显加快。尽管远程办公被广泛采用,但其对健康的长期影响仍不清楚。本研究旨在通过整合纵向自我报告的健康数据与健康相关的行政记录来澄清远程工作与健康的关系。方法与分析:从2024年11月开始,将建立一项在线自我报告的纵向调查,四次随访,每次6个月,并与行政数据源相关联。总共将招募5000名非远程工作者和远程工作者的非概率样本。这项调查将主要评估远程工作对心理(如抑郁和焦虑)和身体(如疼痛)健康的影响。同期的行政数据(例如,医疗消费联系和社会经济地位)将从比利时行政数据源(比利时统计局和互助机构)中提取。此管理数据将使用社会安全ID链接到调查数据。将通过嵌入在自然效果框架中的回归模型和中介模型分析远程工作与保健之间的潜在关系。分析的目的是:(1)确定远程工作对自我报告的健康和管理数据的影响;(2)确定远程工作与健康关系之间的调节和中介;(3)了解远程工作与健康互动的长期模式;(4)预测远程工作者的健康结果。为了减轻与非概率样本和磨损相关的偏差,将从数据中导出标准化概率权重评分。伦理与传播:本研究涉及人类参与者,并已获得Universitair Ziekenhuis Gent (Nr°)伦理委员会的批准。onz - 2023 - 0630)。参与者在签署知情同意书后将参与研究。这项研究将在学术期刊、(社交)媒体和项目网站上发布。
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来源期刊
BMJ Open
BMJ Open MEDICINE, GENERAL & INTERNAL-
CiteScore
4.40
自引率
3.40%
发文量
4510
审稿时长
2-3 weeks
期刊介绍: BMJ Open is an online, open access journal, dedicated to publishing medical research from all disciplines and therapeutic areas. The journal publishes all research study types, from study protocols to phase I trials to meta-analyses, including small or specialist studies. Publishing procedures are built around fully open peer review and continuous publication, publishing research online as soon as the article is ready.
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