Evidence map›Paper›PMID 35096514›Full record

ReviewZeitschrift fur Gesundheitswissenschaften = Journal of public health2022

Violence against physicians and nurses: a systematic literature review.

Sayantan Chakraborty, Saidur Rahman Mashreky, Koustuv Dalal

Abstract readReview
In one paragraph

Review in Zeitschrift fur Gesundheitswissenschaften = Journal of public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
49citing papers in PubMed, 3 pooled it
–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

49 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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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.

Sayantan ChakrabortyKolkata Haematology Research Initiatives (KHERI), Kolkata, India.
Saidur Rahman MashrekyCentre for Injury Prevention and Research Bangladesh (CIPRB), Dhaka, Bangladesh.
Koustuv DalalDivision of Public Health Science, School of Health Sciences, Mid Sweden University, Sundsvall, Sweden, and School of Medicine and Health Care, al-Farabi Kazakh National University, Almaty, Kazakhstan.ORCID 0000-0001-7393-796X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Violence against physicians and nurses is a global public health problem. This study explored violence against physicians and nurses using a systematic literature review. Methods: Pubmed and Scopus were searched using search words 'violence' OR 'aggression' 'against' 'physicians' AND 'nurses'. Articles published between 2010 and 2020 in the English language, excluding review/systemic review articles, were included in the study. We used the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines for literature search and reporting and assessed the quality of the article based on the JBI checklist for analytical cross sectional studies. Results: A total of 22 studies were included. The majority of the studies showed that there was a significant violent incident within every setting, often directly involving patients or their relatives. Workers of emergency departments were more likely to be exposed to violence. Verbal abuses were the highest among all settings. Physicians were more likely to face physical violence, while nurses were more prone to sexual harassment. Lack of communication plays a significant role. Fewer reports of violence were noted due to lack of action taken previously. Conclusion: Adequate policy making and implementation and operational research are required to further mitigate the episodes of violence.

Indexed as

HealthcareNursesPhysicianSystematic reviewViolence

Identifiers

PMID35096514
PMCPMC8783572

What OpenQuestion holds

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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.