Evidence map›Paper›PMID 36799409›Full record

ArticleInquiry : a journal of medical care organization, provision and financing

Criminal Litigation of Workplace Violence in Chinese Hospitals and Legal Effort to Deescalate Crimes.

Heng Li, Dajun Gao, Yanjie Guan, Chang Xu

Abstract read
In one paragraph

Article in Inquiry : a journal of medical care organization, provision and financing. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 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

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. 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.

Heng LiAcademy for China's Rule-of-Law, East China University of Political Science and Law, Shanghai, China.ORCID 0000-0003-4854-8537
Dajun GaoShanghai Ninth People's Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.
Yanjie GuanShanghai General Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.
Chang XuIntelligent Hospital Research Academy, Peking University Shenzhen Hospital, Shenzhen, Guangdong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Workplace violence in Chinese hospitals has increasingly attracted world attention. This study aimed to describe the characteristics of criminal litigation cases on workplace violence in Chinese hospitals at a national level and explore the influencing factors associated with the severity of workplace violence. A retrospective study was designed to analyse 507 criminal litigation cases on workplace violence in Chinese hospitals, with data extracted from the Chinese court website. The multiple ordered logistic regression model was used to analyse the impact of the potential influencing factors on the severity of workplace violence. The crimes as workplace violence in the hospitals were concentrated in East and Central China (53.9%). The most common clinical specialty involved in workplace violence was Gynecology and Obstetrics (27.8%). The first 4 types of crimes as workplace violence in the hospitals were the crime as picking quarrels and provoking trouble (26.0%), the crime as disrupting public service (20.7%), the crime as intentional injury (19.1%), and the crime as gathering people to disturb public order (15.2%). The severity of crimes as workplace violence in the hospitals was significantly associated with location (OR = 2.569,

Indexed as

CriminalsWorkplace ViolenceCrimeHospitalsHumansRetrospective StudiesWorkplaceChinese hospitalscrimeslaw and policyretrospective studyworkplace violence

Identifiers

PMID36799409
PMCPMC9940235

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.