Evidence map›Paper›PMID 41987048›Full record

ArticleBMC emergency medicine2026

Generational differences in perceptions and acceptance of violence in emergency rooms: a cross-sectional study in Thailand.

Laddawan Kiettikunwong, Pongmanut Deeod, Narong Kiettikunwong

Abstract read
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Article in BMC emergency medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Laddawan KiettikunwongChumphae Hospital, 82, Moo 8, Maliwan Road, Chumphae, Khon Kaen, 40130, Thailand.
Pongmanut DeeodFaculty of Humanities and Social Sciences, Khon Kaen University, 123 Mitraparp Road, Khon Kaen, 40002, Thailand.ORCID 0000-0003-0410-7297
Narong KiettikunwongCollege of Local Administration, Khon Kaen University, 123 Mitraparp Road, Khon Kaen, 40002, Thailand. naroki@kku.ac.th.ORCID 0000-0003-0446-8287

Funding

National Research Council of Thailand N32A660114
6 · The paper itself

Abstract

BACKGROUND AND

aimViolence in hospital emergency rooms (ERs) presents serious risks to patient safety and healthcare workers. While prior research has focused on organizational risk factors, limited attention has been given to how the public interprets and accepts violent behavior, particularly across different generations. This study examined generational differences in perceptions and acceptance of violent behavior in hospital ERs in Thailand.

methodsA cross-sectional survey was conducted among 615 residents living in communities surrounding seven hospitals. Respondents were classified into four generational cohorts: Generation Z, Millennials, Generation X, and Baby Boomers. Data were collected using a structured questionnaire based on the Theory of Planned Behavior. Data analysis included descriptive statistics, Chi-square tests to examine severity classifications, and multiple regression analysis with dummy-coded generational variables (Baby Boomers as reference group) to examine the association between each generational cohort and acceptance of violence. Bias-corrected bootstrapping was employed to validate confidence intervals for all estimates.

resultsChi-square results indicated significant generational differences in how violence is defined; younger cohorts were more likely to label only physical assault as violence, while overlooking verbal aggression. Multiple regression analysis indicated that, relative to Baby Boomers (reference group), Generation Z (B = 0.263, β = 0.187, p = .019) and Millennials (B = 0.230, β = 0.155, p = .045) were significantly associated with higher acceptance of violent behavior in ERs, while Generation X did not differ significantly (B = 0.100, β = 0.062, p = .393). Overall model: F(3, 611) = 3.075, p = .027, R² = 0.015.

conclusionsGenerational background is significantly associated with differences in how individuals interpret and accept aggression in hospitals. Current Zero Tolerance policies may have limited effectiveness because younger demographics do not perceive verbal aggression as a violation. Prevention strategies may benefit from explicitly defining and prohibiting non-physical violence to align with the interpretive frameworks of younger generations. CLINICAL

trial registrationNot applicable.

Indexed as

Emergency Service, HospitalIntergenerational RelationsViolenceAdolescentAdultAgedAge FactorsCross-Sectional StudiesFemaleHumansMaleMiddle AgedSurveys and QuestionnairesThailandTheory of Planned BehaviorYoung AdultEmergency roomsGenerational differencesHospital violencePatient and staff safetyPerceptions toward violenceViolence prevention

Identifiers

PMID41987048
PMCPMC13196223

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

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.