Workplace Violence against Health Care Workers in North Chinese Hospitals: A Cross-Sectional Survey

Int J Environ Res Public Health. 2017 Jan 19;14(1):96. doi: 10.3390/ijerph14010096.

Abstract

This research aimed to determine the prevalence of workplace violence (WPV) against healthcare workers, explore the frequency distribution of violence in different occupational groups, and determine which healthcare occupation suffers from WPV most frequently. Furthermore, the current study aimed to compare risk factors affecting different types of WPV in Chinese hospitals. A cross-sectional design was utilized. A total of 1899 healthcare workers from Heilongjiang, a province in Northeastern China, completed the questionnaire. Of the respondents, 83.3% reported exposure to workplace violence, and 68.9% reported non-physical violence. Gender, education, shift work, anxiety level, and occupation were significantly correlated with physical violence (p < 0.05 for all correlations). Additionally, age, professional title, and occupation were correlated with non-physical violence, which critically affected doctors. Thus, gender, age, profession, anxiety, and shift work were predictive of workplace violence toward healthcare workers. Doctors appeared to experience non-physical workplace violence with particularly higher frequency when compared to nurses and other workers in hospitals. For healthcare workers, interventions aimed at WPV reduction should be enacted according to the types of violence, profession, and other factors underlying the various types of WPV in hospitals.

Keywords: different types of violence; risk factors; workplace violence.

MeSH terms

  • Adult
  • Age Factors
  • China / epidemiology
  • Cross-Sectional Studies
  • Female
  • Hospitals / statistics & numerical data*
  • Humans
  • Male
  • Occupations / statistics & numerical data
  • Personnel, Hospital / statistics & numerical data*
  • Physical Abuse / statistics & numerical data
  • Prevalence
  • Risk Factors
  • Sex Factors
  • Violence / statistics & numerical data
  • Workplace Violence / statistics & numerical data*