2022
DOI: 10.1186/s12960-022-00736-x
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Prevalence and associated factors for workplace violence among general practitioners in China: a national cross-sectional study

Abstract: Background General practitioners (GPs) were at risk of violence in their everyday working lives. Workplace violence (WPV) among GPs is a global public health concern. This study aimed to investigate the prevalence and factors associated with WPV among GPs in China. Methods A cross-sectional study was conducted among 4376 GPs in eastern, central, and western China between March and May 2021 using a structured self-administered questionnaire. The mul… Show more

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Cited by 7 publications
(17 citation statements)
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“…In addition, medical staff have high work pressure, frequent interpersonal contact, irregular work and rest, and high occupational risk, thus becoming a high-risk group exposed to occupational stress. A survey of 3236 general practitioners in China showed that 313 (9.67%) had low occupational stress, 1028 (31.77%) had medium occupational stress, and 1895 (58.56%) had high occupational stress [ 13 ]. A survey of 256 dentists in Shaanxi Province of China showed that 34.4% of dentists had occupational stress [ 14 ].…”
Section: Introductionmentioning
confidence: 99%
“…In addition, medical staff have high work pressure, frequent interpersonal contact, irregular work and rest, and high occupational risk, thus becoming a high-risk group exposed to occupational stress. A survey of 3236 general practitioners in China showed that 313 (9.67%) had low occupational stress, 1028 (31.77%) had medium occupational stress, and 1895 (58.56%) had high occupational stress [ 13 ]. A survey of 256 dentists in Shaanxi Province of China showed that 34.4% of dentists had occupational stress [ 14 ].…”
Section: Introductionmentioning
confidence: 99%
“…The modulating role of job satisfaction [ 38 ] David Pina et al (2022) Cross-sectional Spain 574 Respondents: Medical staff, nursing staff, support personnel (80.60% response rate) Self-administered survey Validated questionnaire consisting of four sections: Socio-demographic details, HABS–U-PHC, OJS, and the Maslach Burnout Inventory-General Survey (MSI-GS) 22. Prevalence and associated factors for workplace violence among general practitioners in China: A national cross-sectional study [ 39 ] Feng et al (2022) Cross-sectional China 4376 GPs (95% response rate) Self-administered survey Chinese version of the Workplace Violence Scale developed by Wang et al 2006 23. Physician–nurse conflict resolution styles in primary health care [ 40 ] Delak and Širok (2018) Cross-sectional Slovenia 298 Respondents: 173 nurses, 125 physicians (49% response rate) Self-administered survey Thomas–Kilmann Conflict Mode Instrument …”
Section: Resultsmentioning
confidence: 99%
“…Several socio-demographic factors were identified as predictors of WPV. Male gender and female gender were associated with risk of physical violence [ 21 23 ] and non-physical violence [ 12 , 19 , 24 , 32 , 35 , 39 ], respectively. Nevertheless, a specific form of non-physical violence, such as coercion, was also reported less frequently among women [ 34 ].…”
Section: Resultsmentioning
confidence: 99%
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“…Previous studies evaluating workplace aggression have shown that 7-82.9% of HWs are targets of violence (5)(6)(7)(8)(9)(10)(11). In China, the prevalence of WPV among HWs ranges from 14.26-69.24% (12)(13)(14)(15). However, there are still gaps in the mid-term and long-term descriptions of WPV in healthcare, especially with reference to the effectiveness of midterm and long-term WPV interventions (16)(17)(18)(19).…”
Section: Introductionmentioning
confidence: 99%