Evidence map›Paper›PMID 40046536›Full record

ReviewThe Brown journal of hospital medicine2023

Sick Leave Determinants in the Healthcare Sector (Part I): A Review of Contextual Factors.

Hugh D Brady, Deirdre McGrath, Colum P Dunne

Abstract readReview
In one paragraph

Review in The Brown journal of hospital medicine, 2023. 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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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
  2. Article
  3. Article
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

3 authors.

Hugh D BradySchool of Medicine, University of Limerick, Limerick, Ireland.
Deirdre McGrathSchool of Medicine, University of Limerick, Limerick, Ireland.
Colum P DunneSchool of Medicine, University of Limerick, Limerick, Ireland.ORCID https://orcid.org/0000-0002-5010-3185

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: This study aims to describe contextual factors that influence and contribute to sick leave in healthcare, especially in hospital settings. This review would provide a valuable, comprehensive, and evidence-based resource for readers interested in effective human resource management and healthcare or hospital workforce planning. This review referred to studies on the determinants of absenteeism in the healthcare setting. Methods: To ensure that pertinent papers (2004 - 2022) were identified, a literature search was performed searching Google Scholar, Econ Lit, PubMed, ResearchGate, ScienceDirect, Emerald Insight, Scopus, Medline, PsychInfo, and Web of Science. All abstracts were screened to identify papers that empirically investigated contextual factors of work absence in healthcare populations. A total of 126 papers were initially identified. These were reduced to 61 papers using pre-determined inclusion and exclusion criteria. Results: Contextual factors such as nature of work, cultural expectations, economic conditions, and seasonality have moderately strong associations with absence. There is a negative relationship between high psychological demands and work-related absenteeism. The key factors associated with sickness absence in healthcare staff were long hours worked, night shifts, changing rostering patterns, work overload and stress, physically demanding roles, poor social support. Other contextual factors such as cultural norms and expectations that support poor attendance reflected strong association with absence levels. Economic conditions are negatively associated with absenteeism as a result of job security fears. Absenteeism is more pronounced during winter and school holidays. Conclusions: The review concluded that interventions such as screening the prior attendance levels of potential employees would assist greatly in terms of absenteeism rates, while monitoring current absence patterns of existing employees will negate the development of cultural norms in the workplace. Many of the contextual related variables associated with high levels of absenteeism are reducible with the development of screening and monitoring tools.

Indexed as

absence ratesAbsenteeismdisabilityhealthcarehospitalnursingsick leave

Identifiers

PMID40046536
PMCPMC11878852

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

None linked

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.