Evidence map›Paper›PMID 32176610›Full record

ArticleHealthcare policy = Politiques de sante2020

Gender Differences in Surgery for Work-Related Musculoskeletal Injury: A Population-Based Cohort Study.

Andrea M Jones, Mieke Koehoorn, Christopher B Mcleod

Abstract readComparative Study
In one paragraph

Article in Healthcare policy = Politiques de sante, 2020. 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. Kicking Off the 2020s with Healthcare Policy.Healthcare policy = Politiques de sante · 2020
    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.

Andrea M JonesSchool of Population and Public Health, University of British Columbia, Vancouver, BC.
Mieke KoehoornProfessor, School of Population and Public Health, University of British Columbia, Vancouver, BC.
Christopher B McleodAssociate Professor, School of Population and Public Health, University of British Columbia, Vancouver, BC, Scientist, Institute for Work and Health, University Avenue, Toronto, ON.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe objective of this study is to examine if women are less likely than men to receive surgery following work-related musculoskeletal injury in the Canadian province of British Columbia.

methodsThe study included 2,403 workers with work-related knee meniscal tear, thoracic/lumbar disc displacement or rotator cuff tear. Probability of surgery was compared by gender using Kaplan-Meier methods and Cox proportional hazards models.

resultsFor each injury type, a smaller proportion of women received surgery compared to men (knee: 76% vs. 80%; shoulder: 13% vs. 36%; back: 13% vs. 19%). In adjusted models, compared to men, women were 0.87 (95% confidence interval [CI] [0.69, 1.09]), 0.35 (95% CI [0.25, 0.48]) and 0.54 (95% CI [0.31, 0.95]) times less likely to receive knee, shoulder or back surgery, respectively.

conclusionsProbability of surgery following work-related musculoskeletal injury was lower for women than for men. Strategies to ensure gender equitable delivery of surgical services by workers' compensation systems may be warranted, although further research is necessary to investigate determinants of the gender difference and the impact of elective orthopaedic surgery on occupational outcomes.

Indexed as

Occupational DiseasesBritish ColumbiaCohort StudiesFemaleHumansLumbosacral RegionMaleMeniscusMusculoskeletal DiseasesProportional Hazards ModelsRotator Cuff InjuriesSex FactorsWorkers' Compensation

Identifiers

PMID32176610
PMCPMC7075441

What OpenQuestion holds

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LicenceCC BY-NC
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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.