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Record W4392169154 · doi:10.1186/s13054-024-04844-z

Violence against healthcare professionals in intensive care units: a systematic review and meta-analysis of frequency, risk factors, interventions, and preventive measures

2024· review· en· W4392169154 on OpenAlexfundno aff
Sebastian Berger, Pascale Grzonka, Anja I. Frei, Sabina Hunziker, Sira M. Baumann, Simon A. Amacher, Caroline E. Gebhard, Raoul Sutter

Bibliographic record

VenueCritical Care · 2024
Typereview
Languageen
FieldSocial Sciences
TopicWorkplace Violence and Bullying
Canadian institutionsnot available
FundersSchweizerischer Nationalfonds zur Förderung der Wissenschaftlichen ForschungUniversität BaselMach-Gaensslen Foundation of CanadaSociety of General Internal Medicine
KeywordsMedicineWorkplace violenceHealth carePsychological interventionIntensive careOccupational safety and healthOdds ratioScopusMeta-analysisPoison controlInjury preventionMEDLINEPsychiatryEmergency medicineInternal medicineIntensive care medicine

Abstract

fetched live from OpenAlex

Abstract Background To assess the frequency, risk factors, consequences, and prevention of violence against healthcare workers in intensive care units. Methods PubMed, Scopus, Google Scholar, EMBASE, Cochrane, and Web of Science were searched for studies on violence against healthcare workers in adult intensive care units. Risk factors, patient characteristics, and implications for healthcare workers were collected. Study quality, bias, and level of evidence were assessed using established tools. Results Seventy-five studies with 139,533 healthcare workers from 32 countries were included. The overall median frequency of violence was 51% (IQR 37–75%). Up to 97% of healthcare workers experienced verbal violence, and up to 82% were victims of physical violence. Meta-analysis of frequency revealed an average frequency of 31% (95% CI 22–41%) for physical violence, 57% for verbal violence (95% CI 48–66%), and 12% for sexual violence (95% CI 4–23%). Heterogeneity was high according to the I 2 statistics. Patients were the most common perpetrators (median 56%), followed by visitors (median 22%). Twenty-two studies reported increased risk ratios of up to 2.3 or odds ratios of up to 22.9 for healthcare workers in the ICU compared to other healthcare workers. Risk factors for experiencing violence included young age, less work experience, and being a nurse. Patients who exhibited violent behavior were often male, older, and physically impaired by drugs. Violence was underreported in up to 80% of cases and associated with higher burnout rates, increased anxiety, and higher turnover intentions. Overall the level of evidence was low. Conclusions Workplace violence is frequent and underreported in intensive care units, with potential serious consequences for healthcare workers, calling for heightened awareness, screening, and preventive measures. The potential risk factors for violence should be further investigated. Systematic review registration : The protocol for this review was registered with Prospero on January 15, 2023 (ID CRD42023388449).

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.018
metaresearch head score (Gemma)0.047
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.024
Threshold uncertainty score0.094

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0180.047
Meta-epidemiology (narrow)0.0030.002
Meta-epidemiology (broad)0.0240.034
Bibliometrics0.0080.009
Science and technology studies0.0010.001
Scholarly communication0.0040.002
Open science0.0020.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0030.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.191
GPT teacher head0.484
Teacher spread0.293 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designMeta-analysis
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations79
Published2024
Admission routes1
Has abstractyes

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