ReviewJournal of Brown hospital medicine2023
Sick Leave Determinants in the Healthcare Sector (Part III): A Review of Individual-Level Factors.
Review in Journal of Brown hospital medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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.
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.
Who cites it
5 citing papers in PubMed.
- A Healthy Healthcare Workforce? Sick and Annual Leave Patterns in Victorian Healthcare Workers, 2012 to 2024.Journal of occupational rehabilitation · 2026Article
- A Healthy Healthcare Workforce? Sick and Annual Leave Patterns in Victorian Healthcare Workers, 2012 to 2024.Journal of occupational rehabilitation · 2026Article
- Short Sickness Absenteeism Rate in a Large Tertiary Hospital: The Role of Fitness for Work and Influenza Vaccination.Epidemiologia (Basel, Switzerland) · 2026Article
- Trajectories of sickness absence in healthcare workers: a cohort study in a Spanish hospital between 2018 and 2023.BMC health services research · 2026Article
- Absenteeism Among Healthcare Workers: Job Grade and Other Factors That Matter in Sickness Absence.International journal of environmental research and public health · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: The objective of this review is to describe individual-level factors that influence and contribute to sick leave in healthcare, and especially hospital, settings. In doing so, to utilize relevant publications from the period 2004 - 2022 in order to provide a comprehensive and evidence-based resource for readers interested in effective human resource management and healthcare or hospital workforce planning. The review referred to studies on the determinants of absenteeism in the healthcare setting. Methods: To ensure that pertinent papers (2004 - 2022) were identified, a systematic literature review 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 factors at individual level that are relevant to sickness absence in a healthcare population. A total of 494 papers were initially identified. These were reduced to 123 papers using pre-determined inclusion and exclusion criteria. Results: Individual-level factors such as age, gender, health, marital status, personality, tenure and job satisfaction have moderately strong associations with absence. There is a negative relationship between ageing, health status and absenteeism. Conclusions: The review concludes that consideration by administrators of the impact of ageing and life phases will assist greatly in strategic workforce planning in the healthcare sector. There are marked differences in rates of absenteeism by gender, specifically by life phase that should be considered in staffing decisions.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.