Evidence map›Paper›PMID 39165615›Full record

ArticleCureus2024

Identifying Work-Related Injuries Among Healthcare Workers in Makkah Hospitals, Saudi Arabia: A Cross-Sectional Study in 2024.

Maria A Alqithami, Amani ALsadi, Mohammed Tashkandi, Rehab Gaafar

Abstract read
In one paragraph

Article in Cureus, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

4 authors.

Maria A AlqithamiPreventive Medicine, Preventive Medicine Center in Makkah, Makkah, SAU.
Amani ALsadiPreventive Medicine, Ministry of Health, Makkah, SAU.
Mohammed TashkandiPreventive Medicine, Ministry of Health, Makkah, SAU.
Rehab GaafarPreventive Medicine, King Abdullah Medical City, Makkah, SAU.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background Work-related injuries (WRIs) are a major occupational health issue among healthcare workers (HCWs) worldwide. HCWs face numerous daily hazards including needlestick injuries, chemical exposures, ergonomic strains, and psychological stressors crucial for their health and healthcare system functionality. In Makkah, Saudi Arabia, healthcare infrastructure advances raise concerns about work-related injuries among HCWs. This study in Makkah hospitals aims to identify, understand, and manage WRIs for improved occupational health guidelines and strategies. Methods This descriptive cross-sectional study on HCWs was conducted at Makkah hospitals using an electronic questionnaire that investigated the demographics, work-related injuries, and occupational hazards. The data collected from the retrieved questionnaires were analyzed using the IBM SPSS Statistics for Windows, Version 26.0 (Released 2019; IBM Corp., Armonk, New York, United States). Results Among 379 enrolled HCWs, 172 (49.3%) were physicians and 89 (19.8%) were nurses; 304 (80.2%) of the total participants knew about occupational safety. The total incidence of WRIs was 67.8%. WRIs were significantly associated with age (P˂0.001), gender (P=0.02), educational level (P˂0.001), profession (P˂0.001), working hours (P˂0.001), and shift time (P˂0.001). Conclusion WRIs were highly prevalent among HCWs with varying rates based on the type of injury and the frequency of injury. WRIs were associated with various factors including age, gender, education, profession, working house, and shift time of the participants.

Indexed as

accidental injuryhazardshealthcare workersinjuriesneedle stick and sharp injuryoccupational safetywork-related injury

Identifiers

PMID39165615
PMCPMC11335175

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.