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.

A cross-sectional survey of healthcare professionals from 19 hospitals in six cities of Heilongjiang Province, China was conducted. This study had two objectives: (1) to examine the factors influencing healthcare workers’ opinions of strategies to prevent workplace violence, using social support theory, and (2) to encourage healthcare organisations and the larger society to offer greater support to healthcare workers. The respondents exposed to workplace violence expected to receive organisational and social support. Those exposed to psychological violence had a strong opinion of the need for target training to strengthen their competence in responding to violence (OR = 1.319, 95% CI: 1.034–1.658) and enacting workplace violence legislation (OR = 1.968, 95% CI: 1.523–2.543).Those exposed to physical violence thought it might be useful to reinforce staff with back-up support (OR = 3.101, 95% CI: 1.085–8.860). Those exposed to both types of violence and those with high anxiety levels need greater support at both the organisational and societal levels.

BackgroundThe death of a loved one can trigger a range of responses, including painful thoughts and emotions, as well as positive changes, such as post-traumatic growth (PTG). To understand more about the relationship between these outcomes this study explored the co-occurrence of depression, anxiety and PTG among a group of bereaved Chinese adults.MethodsData were collected from 194 participants, who had lost a first-degree relative. Latent class analysis was used to analyze the data to identify subgroups of participants with shared symptom profiles.ResultsThree classes were identified: a Growth class, a Depression/Anxiety/Growth class and a Depression/Anxiety class. Marital status, social support, close relationship with the deceased and witnessing the suffering of the deceased were identified as differential predictors of class membership.ConclusionThe findings contribute to our understanding of the potentially wide ranging impacts of bereavement and highlight the important role of stressor characteristics and support and in influencing impairment and positive outcomes.