Absenteeism Among Healthcare Workers: Job Grade and Other Factors That Matter in Sickness Absence.

Carine J Sakr, Lina M Fakih, Umayya M Musharrafieh, Ghassan M Khairallah, Maha H Makki, Rita M Doudakian, Hani Tamim, Carrie A Redlich, Martin D Slade, Diana V Rahme
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Abstract

Background: Absenteeism among healthcare workers (HCWs) disrupts workflows and hampers the delivery of adequate patient care. The aim of the study was to examine predictors of sick leaves among HCWs in a tertiary medical center in Lebanon.

Methods: A retrospective analysis of sick leaves linked to health records of 2850 HCWs between 2015 and 2018 was performed. Sick leave episodes were stratified by diagnosis. Bivariate and negative binomial regression analyses were performed to investigate predictors.

Results: The mean number of sick leave episodes was 10.6 per person over 4 years. The strongest predictor of higher sickness absenteeism was low job grade (IR = 1.52; 95% CI = 1.39, 1.67). Female sex (IR = 1.24; 95% CI = 1.14, 1.36), older age (IR = 1.19; 95% CI = 1.08, 1.30), being married (IR = 1.21; 95% CI = 1.11, 1.33), being a current smoker (IR = 1.21; 95% CI = 1.11, 1.32), and having a history of selected medical conditions were all significant sick leave predictors.

Conclusion: Demographic, work-related, and health-related predictors are associated with the number of sick leave episodes. To address the health inequity, additional research should evaluate how some socio-economic factors determine poorer health outcomes and should guide approaches to address this crucial issue to protect the health and well-being of this key workforce.

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医疗工作者的缺勤:工作等级和其他因素对病假缺勤的影响。
背景:卫生保健工作者(HCWs)的缺勤扰乱了工作流程,阻碍了提供充分的患者护理。该研究的目的是检查黎巴嫩三级医疗中心卫生保健工作者的病假预测因素。方法:对2015年至2018年2850名卫生保健工作者的病假进行回顾性分析。病假事件按诊断分层。采用双变量和负二项回归分析来研究预测因子。结果:人均4年病假次数为10.6次。高病假缺勤的最强预测因子是低工作等级(IR = 1.52;95% ci = 1.39, 1.67)。女性(IR = 1.24;95% CI = 1.14, 1.36),年龄较大(IR = 1.19;95% CI = 1.08, 1.30),已婚(IR = 1.21;95% CI = 1.11, 1.33),当前吸烟者(IR = 1.21;95% CI = 1.11, 1.32),以及是否有特定医疗病史都是重要的病假预测因素。结论:人口统计学、工作相关和健康相关预测因素与病假次数相关。为解决卫生不平等问题,应进一步开展研究,评估某些社会经济因素如何决定较差的健康结果,并应指导解决这一关键问题的方法,以保护这一关键劳动力的健康和福祉。
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期刊介绍: International Journal of Environmental Research and Public Health (IJERPH) (ISSN 1660-4601) is a peer-reviewed scientific journal that publishes original articles, critical reviews, research notes, and short communications in the interdisciplinary area of environmental health sciences and public health. It links several scientific disciplines including biology, biochemistry, biotechnology, cellular and molecular biology, chemistry, computer science, ecology, engineering, epidemiology, genetics, immunology, microbiology, oncology, pathology, pharmacology, and toxicology, in an integrated fashion, to address critical issues related to environmental quality and public health. Therefore, IJERPH focuses on the publication of scientific and technical information on the impacts of natural phenomena and anthropogenic factors on the quality of our environment, the interrelationships between environmental health and the quality of life, as well as the socio-cultural, political, economic, and legal considerations related to environmental stewardship and public health. The 2018 IJERPH Outstanding Reviewer Award has been launched! This award acknowledge those who have generously dedicated their time to review manuscripts submitted to IJERPH. See full details at http://www.mdpi.com/journal/ijerph/awards.
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