Evidence map›Paper›PMID 39833833›Full record

ArticleHuman resources for health2025

Perspectives of physicians on risk factors for patient aggression and violence against physicians in Chinese hospitals: a Q-methodology study.

Yuhan Wu, Kees Ahaus, Jiaming Shi, Dahai Zhao, Martina Buljac-Samardzic

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Article in Human resources for health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

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4citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Yuhan WuErasmus School of Health Policy & Management, Erasmus University Rotterdam, Rotterdam, The Netherlands. wu@eshpm.eur.nl.
Kees AhausErasmus School of Health Policy & Management, Erasmus University Rotterdam, Rotterdam, The Netherlands.
Jiaming ShiSchool of Public Administration, Southwestern University of Finance and Economics, Chengdu, Sichuan, China.
Dahai ZhaoSchool of International and Public Affairs, Shanghai Jiao Tong University, Shanghai, China.
Martina Buljac-SamardzicErasmus School of Health Policy & Management, Erasmus University Rotterdam, Rotterdam, The Netherlands.

Funding

China Scholarship Council 202107720007the Ministry of Education Humanities and Social Science Research Foundation 24YJC840025the Philosophy and Social Science Foundation Project of Chengdu City 2024BS018
6 · The paper itself

Abstract

backgroundThe prevalence of patient (and their relatives/friends) aggression and violence against healthcare professionals in general, and physicians in particular, is a recognized problem worldwide. While numerous risk factors for such aggression and violence from patients (and their relatives/friends) have been identified, little is known about which risk factors are perceived as relatively most important in a specific context and among a particular group, and about the potentially differing views on the relative importance. This lack of insight prohibits preventive measures being tailored to address the main risk factors.

methodWe conducted a Q-methodology study to investigate physicians' perspectives on risk factors for aggression and violence from patients (and their relatives/friends) against physicians in Chinese hospitals. A total of 33 physicians from public Chinese hospitals participated in this study and were asked to rank 30 risk factors according to their importance in triggering violent incidents. In addition, respondents were asked to explain their ranking of most and least important risk factors.

resultsBy employing a by-person factor analysis, four distinct perspectives on the importance of risk factors were identified: (1) unmet expectations of treatment and lack of resources; (2) perpetrator's educational background and personal characteristics; (3) distrust and limited protection measures; and (4) perpetrator's emotional well-being and poor interaction. There was a consensus across perspectives that failure to meet perpetrator's expectations is one of the most important risk factors and that physician's gender is one of the least important risk factors in the occurrence of patient (and their relatives/friends) aggression and violence against physicians in Chinese hospitals.

conclusionsThis study has identified four distinct perspectives held among physicians on the risk factors for patient aggression and violence against physicians in Chinese hospitals. These insights enable the development and prioritization of targeted measures to address specific risk factors according to the dominant views among physicians.

Indexed as

AggressionAttitude of Health PersonnelPatientsPhysician-Patient RelationsPhysiciansViolenceWorkplace ViolenceAdultChinaFemaleHospitalsHospitals, PublicHumansMaleMiddle AgedRisk FactorsAggressionPatientPhysicianQ-methodologyRisk factorsViolence

Identifiers

PMID39833833
PMCPMC11749401

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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.