Prevalence and spatial distribution of workplace violence against emergency medical staff in China: a cross-sectional study
ObjectiveThis study aimed to analyze the prevalence and spatial distribution of workplace violence (WPV) in emergency departments (EDs) in China, to identify national trends and high-incidence areas, and to provide scientific evidence for the government to formulate and implement relevant interventi...
Saved in:
| Main Authors: | , , , , , , , , , |
|---|---|
| Format: | Article |
| Language: | zho |
| Published: |
Editorial Office of Chinese Journal of Public Health
2024-12-01
|
| Series: | Zhongguo gonggong weisheng |
| Subjects: | |
| Online Access: | https://www.zgggws.com/article/doi/10.11847/zgggws1144927 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1823859492641570816 |
|---|---|
| author | Ruofan ZHANG Jing FENG Ge QU Xinyan LI Zihui LEI Yuchao SUN Aoqi SHEN Chuanzhu LV Xingyue SONG Yong GAN |
| author_facet | Ruofan ZHANG Jing FENG Ge QU Xinyan LI Zihui LEI Yuchao SUN Aoqi SHEN Chuanzhu LV Xingyue SONG Yong GAN |
| author_sort | Ruofan ZHANG |
| collection | DOAJ |
| description | ObjectiveThis study aimed to analyze the prevalence and spatial distribution of workplace violence (WPV) in emergency departments (EDs) in China, to identify national trends and high-incidence areas, and to provide scientific evidence for the government to formulate and implement relevant intervention measures. MethodsA multi-stage random sampling method was used to conduct a survey of 34 819 ED medical staff in 31 provincial administrative regions in China from July to September 2019. The spatial distribution of WPV was explored based on geographic information system technology and spatial analysis methods. Data were analyzed using Stata 17.0 and GeoDa 1.18 software. ResultsThe average incidence of WPV in EDs in China was 84.16%, with the highest incidence of emotional abuse (80.43%), followed by threats and intimidation (59.96%), physical violence (42.11%), verbal harassment (30.54%), and physical harassment (15.27%). Spatial autocorrelation analysis showed that physical violence (Moran′s I = 0.246), threats and intimidation (Moran′s I = 0.092), and physical harassment (Moran′s I = 0.478) in WPV had significant spatial clustering relationships (all P < 0.05). The results of local spatial autocorrelation analysis showed that the high-incidence areas of WPV in EDs in China were mainly in the northwest and northeast regions, with the most serious situation in Inner Mongolia Autonomous Region, while the incidence rate in the southeast coastal areas of China was generally low. ConclusionsWPV among ED medical staff in China is serious, especially in the northwest and northeast regions, with significant spatial distribution differences, which urgently needs the attention of relevant departments. |
| format | Article |
| id | doaj-art-b2f92845135f423a9e62a0ef51ca49df |
| institution | Kabale University |
| issn | 1001-0580 |
| language | zho |
| publishDate | 2024-12-01 |
| publisher | Editorial Office of Chinese Journal of Public Health |
| record_format | Article |
| series | Zhongguo gonggong weisheng |
| spelling | doaj-art-b2f92845135f423a9e62a0ef51ca49df2025-02-11T02:11:59ZzhoEditorial Office of Chinese Journal of Public HealthZhongguo gonggong weisheng1001-05802024-12-0140121471147610.11847/zgggws11449271144927Prevalence and spatial distribution of workplace violence against emergency medical staff in China: a cross-sectional studyRuofan ZHANG0Jing FENG1Ge QU2Xinyan LI3Zihui LEI4Yuchao SUN5Aoqi SHEN6Chuanzhu LV7Xingyue SONG8Yong GAN9School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, ChinaSchool of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, ChinaSchool of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, ChinaSchool of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, ChinaSchool of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, ChinaSchool of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, ChinaSchool of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, ChinaEmergency Medical Center, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu 610072, ChinaHainan Provincial Clinical Research Center for Critical and Emergency Medicine, Department of Emergency Medicine, the Second Affiliated Hospital of Hainan Medical University, Haikou 570100, ChinaSchool of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, ChinaObjectiveThis study aimed to analyze the prevalence and spatial distribution of workplace violence (WPV) in emergency departments (EDs) in China, to identify national trends and high-incidence areas, and to provide scientific evidence for the government to formulate and implement relevant intervention measures. MethodsA multi-stage random sampling method was used to conduct a survey of 34 819 ED medical staff in 31 provincial administrative regions in China from July to September 2019. The spatial distribution of WPV was explored based on geographic information system technology and spatial analysis methods. Data were analyzed using Stata 17.0 and GeoDa 1.18 software. ResultsThe average incidence of WPV in EDs in China was 84.16%, with the highest incidence of emotional abuse (80.43%), followed by threats and intimidation (59.96%), physical violence (42.11%), verbal harassment (30.54%), and physical harassment (15.27%). Spatial autocorrelation analysis showed that physical violence (Moran′s I = 0.246), threats and intimidation (Moran′s I = 0.092), and physical harassment (Moran′s I = 0.478) in WPV had significant spatial clustering relationships (all P < 0.05). The results of local spatial autocorrelation analysis showed that the high-incidence areas of WPV in EDs in China were mainly in the northwest and northeast regions, with the most serious situation in Inner Mongolia Autonomous Region, while the incidence rate in the southeast coastal areas of China was generally low. ConclusionsWPV among ED medical staff in China is serious, especially in the northwest and northeast regions, with significant spatial distribution differences, which urgently needs the attention of relevant departments.https://www.zgggws.com/article/doi/10.11847/zgggws1144927workplace violence (wpv)emergency department (ed)spatial distributiongeographic information system |
| spellingShingle | Ruofan ZHANG Jing FENG Ge QU Xinyan LI Zihui LEI Yuchao SUN Aoqi SHEN Chuanzhu LV Xingyue SONG Yong GAN Prevalence and spatial distribution of workplace violence against emergency medical staff in China: a cross-sectional study Zhongguo gonggong weisheng workplace violence (wpv) emergency department (ed) spatial distribution geographic information system |
| title | Prevalence and spatial distribution of workplace violence against emergency medical staff in China: a cross-sectional study |
| title_full | Prevalence and spatial distribution of workplace violence against emergency medical staff in China: a cross-sectional study |
| title_fullStr | Prevalence and spatial distribution of workplace violence against emergency medical staff in China: a cross-sectional study |
| title_full_unstemmed | Prevalence and spatial distribution of workplace violence against emergency medical staff in China: a cross-sectional study |
| title_short | Prevalence and spatial distribution of workplace violence against emergency medical staff in China: a cross-sectional study |
| title_sort | prevalence and spatial distribution of workplace violence against emergency medical staff in china a cross sectional study |
| topic | workplace violence (wpv) emergency department (ed) spatial distribution geographic information system |
| url | https://www.zgggws.com/article/doi/10.11847/zgggws1144927 |
| work_keys_str_mv | AT ruofanzhang prevalenceandspatialdistributionofworkplaceviolenceagainstemergencymedicalstaffinchinaacrosssectionalstudy AT jingfeng prevalenceandspatialdistributionofworkplaceviolenceagainstemergencymedicalstaffinchinaacrosssectionalstudy AT gequ prevalenceandspatialdistributionofworkplaceviolenceagainstemergencymedicalstaffinchinaacrosssectionalstudy AT xinyanli prevalenceandspatialdistributionofworkplaceviolenceagainstemergencymedicalstaffinchinaacrosssectionalstudy AT zihuilei prevalenceandspatialdistributionofworkplaceviolenceagainstemergencymedicalstaffinchinaacrosssectionalstudy AT yuchaosun prevalenceandspatialdistributionofworkplaceviolenceagainstemergencymedicalstaffinchinaacrosssectionalstudy AT aoqishen prevalenceandspatialdistributionofworkplaceviolenceagainstemergencymedicalstaffinchinaacrosssectionalstudy AT chuanzhulv prevalenceandspatialdistributionofworkplaceviolenceagainstemergencymedicalstaffinchinaacrosssectionalstudy AT xingyuesong prevalenceandspatialdistributionofworkplaceviolenceagainstemergencymedicalstaffinchinaacrosssectionalstudy AT yonggan prevalenceandspatialdistributionofworkplaceviolenceagainstemergencymedicalstaffinchinaacrosssectionalstudy |