Evidence map›Paper›PMID 39857580›Full record

ArticleInternational journal of environmental research and public health2025

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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In one paragraph

Article in International journal of environmental research and public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Carine J SakrEmployee Health Unit, Department of Family Medicine, Faculty of Medicine, American University of Beirut Medical Center, Beirut P.O. Box 11-0236, Lebanon.ORCID 0000-0003-0776-3230
Lina M FakihEmployee Health Unit, Department of Family Medicine, Faculty of Medicine, American University of Beirut Medical Center, Beirut P.O. Box 11-0236, Lebanon.ORCID 0000-0003-0016-9642
Umayya M MusharrafiehEmployee Health Unit, Department of Family Medicine, Faculty of Medicine, American University of Beirut Medical Center, Beirut P.O. Box 11-0236, Lebanon.
Ghassan M KhairallahEmployee Health Unit, Department of Family Medicine, Faculty of Medicine, American University of Beirut Medical Center, Beirut P.O. Box 11-0236, Lebanon.ORCID 0009-0006-2143-0829
Maha H MakkiClinical Research Institute, Faculty of Medicine, American University of Beirut, Beirut P.O. Box 11-0236, Lebanon.
Rita M DoudakianEmployee Health Unit, Department of Family Medicine, Faculty of Medicine, American University of Beirut Medical Center, Beirut P.O. Box 11-0236, Lebanon.
Hani TamimClinical Research Institute, Faculty of Medicine, American University of Beirut, Beirut P.O. Box 11-0236, Lebanon.
Carrie A RedlichYale Occupational and Environmental Medicine Program, Yale University School of Medicine, Yale-New Haven Hospital, Yale University, New Haven, CT 06501, USA.ORCID 0000-0001-6486-6725
Martin D SladeYale Occupational and Environmental Medicine Program, Yale University School of Medicine, Yale-New Haven Hospital, Yale University, New Haven, CT 06501, USA.ORCID 0000-0001-7480-7470
Diana V RahmeEmployee Health Unit, Department of Family Medicine, Faculty of Medicine, American University of Beirut Medical Center, Beirut P.O. Box 11-0236, Lebanon.ORCID 0000-0002-7318-4336

Funding

Research Mentoring and Building Capacity of underrepresented Minority Research Scientists in India.D43TW010540 · FIC · YALE UNIVERSITY · PI MICHELE BARRY, Eva Harris · 2017 to 2026
$15.5M
FIC NIH HHS D43 TW010540
6 · The paper itself

Abstract

backgroundAbsenteeism 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.

methodsA 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.

resultsThe 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.

conclusionDemographic, 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.

Indexed as

AbsenteeismHealth PersonnelSick LeaveAdultFemaleHumansLebanonMaleMiddle AgedRetrospective Studieshealthcare workershealth inequityjob gradesick leave predictorssickness absenteeismtailored interventions

Identifiers

PMID39857580
PMCPMC11764580

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.