| Literature DB >> 29871642 |
Peng Li1, Kai Xing1, Hong Qiao2, Huiying Fang1, Hongkun Ma3, Mingli Jiao4,5, Yanhua Hao6, Ye Li6, Libo Liang7, Lijun Gao6, Zheng Kang6, Yu Cui6, Hong Sun7, Qunhong Wu8, Ming Liu9.
Abstract
BACKGROUND: International reports indicating that around 10-50% of health care staff are exposed to violence every year; in certain settings, this rate might reach over 85%. Evidence has shown that people who experience psychological violence are seven times as likely to be victims of physical violence. Although there have been numerous studies on WPV in general hospitals, there is no consensus regarding the current status of psychological violence directed at health care workers in township hospitals in China. The purpose of this study was to estimate the prevalence and the risk factors of psychological violence in Chinese township hospitals.Entities:
Keywords: Psychological violence; Risk factors; Township hospitals; Workplace violence
Mesh:
Year: 2018 PMID: 29871642 PMCID: PMC5989437 DOI: 10.1186/s12955-018-0940-9
Source DB: PubMed Journal: Health Qual Life Outcomes ISSN: 1477-7525 Impact factor: 3.186
Demographic characteristics of the respondents (N= 840)
| Characteristics | Number | Percent |
|---|---|---|
| Gender | ||
| Male | 442 | 52.62 |
| Female | 398 | 47.38 |
| Age | ||
| < 35 | 140 | 16.67 |
| 35–45 | 426 | 50.71 |
| > 45 | 274 | 32.62 |
| Years of experiences | ||
| | 116 | 13.81 |
| | 394 | 46.90 |
| | 330 | 39.29 |
| Education | ||
| Postgraduate | 8 | 0.95 |
| Undergraduate | 380 | 45.24 |
| College | 348 | 41.43 |
| Technical secondary school education and below | 104 | 12.38 |
| Professional Title | ||
| Senior | 170 | 20.24 |
| Intermediate | 410 | 48.81 |
| Junior | 192 | 22.86 |
| No title | 68 | 8.09 |
| Occupation | ||
| General practitioner | 442 | 52.62 |
| General nurse | 398 | 47.38 |
| Work in shifts | ||
| Yes | 385 | 45.83 |
| No | 455 | 54.17 |
Prevalence of psychological violence
| Violence type | During career | During past 36 months | During past 12 months | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| GPs (442) | Nurses (398) | GPs (436) | Nurses (383) | GPs (442) | Nurses (398) | |||||||
| N | % | N | % | N | % | N | % | N | % | N | % | |
| Verbal abuse | 171 | 38.69 | 215 | 54.02 | 132 | 30.28 | 168 | 43.86 | 124 | 28.05 | 161 | 40.45 |
| Yi Nao | 102 | 23.08 | 116 | 29.15 | 75 | 17.20 | 77 | 20.10 | 66 | 14.93 | 77 | 19.35 |
| Threat | 90 | 20.36 | 110 | 27.64 | 73 | 16.74 | 88 | 22.98 | 61 | 13.80 | 78 | 19.60 |
| Verbal sexual harassment | 68 | 15.38 | 104 | 26.13 | 48 | 11.01 | 75 | 19.58 | 45 | 10.18 | 57 | 14.32 |
| Sex harassment | 38 | 8.60 | 62 | 15.58 | 32 | 7.34 | 44 | 11.49 | 27 | 6.11 | 37 | 9.30 |
| Any type of violence | 198 | 44.80 | 229 | 57.54 | 164 | 37.61 | 207 | 54.04 | 153 | 34.62 | 180 | 45.23 |
Perpetrators of psychological violence and health care workers’ response to and method of dealing with psychological violence (N = 333
| General practitioner | Nurse | |||
|---|---|---|---|---|
| Perpetrator | N(156) | % | N(177) | % |
| Patient | 59 | 37.82 | 57 | 32.20 |
| Patient’s relative | 76 | 48.72 | 93 | 52.54 |
| Colleague | 1 | 0.64 | 9 | 5.09 |
| Supervisor | 2 | 1.28 | 8 | 4.52 |
| Others | 18 | 11.54 | 10 | 5.65 |
| Respond to the incident(Multiple choice) | N(410) | % | N(497) | % |
| No measures to take | 36 | 24.32 | 52 | 28.11 |
| Pretend nothing happened | 74 | 50.00 | 69 | 37.30 |
| Told the person to stop | 45 | 30.41 | 52 | 27.66 |
| Told friends/family | 66 | 44.59 | 68 | 36.76 |
| Sought counseling | 18 | 12.16 | 19 | 10.11 |
| Told a colleague | 56 | 37.84 | 77 | 41.62 |
| Transferred to another position | 20 | 13.51 | 25 | 16.89 |
| Reported it to a senior staff member | 56 | 37.84 | 77 | 41.62 |
| Completed incident/accident form | 9 | 6.08 | 19 | 10.27 |
| Pursued prosecution | 15 | 10.14 | 16 | 8.64 |
| Completed a compensation claim | 7 | 4.73 | 9 | 4.86 |
| Sought help from the union | 8 | 5.41 | 14 | 7.57 |
| The incident could have been prevented | N(156) | % | N(177) | % |
| Yes | 88 | 56.41 | 105 | 59.32 |
| No | 68 | 43.59 | 72 | 40.68 |
| Consequence for the perpetrator | N(156) | % | N(177) | % |
| None | 89 | 57.05 | 109 | 61.58 |
| Verbal warning issued by hospital managers | 49 | 31.41 | 56 | 31.64 |
| Stopping treatment | 11 | 7.05 | 7 | 3.96 |
| Reported to police | 7 | 4.49 | 5 | 2.82 |
Policy, procedures, and intervention strategies against workplace violence
| Number | Percent | |
|---|---|---|
| Procedures for the reporting of violence in your workplace | ||
| Reporting only if suffered physical injury | 256 | 30.48 |
| Reporting as long as suffered verbal threat | 184 | 21.90 |
| No | 400 | 47.62 |
| Know how to use them if have the procedures( | ||
| Yes | 254 | 57.73 |
| No | 186 | 42.27 |
| Encouragement to report workplace violence | ||
| Yes | 378 | 45.00 |
| No | 462 | 55.00 |
| Train in the management of aggression and violence | ||
| Yes | 329 | 39.17 |
| No | 500 | 59.52 |
| Data lost | 11 | 1.31 |
| Specific measures to deal with the psychological violence | ||
| Yes | 248 | 29.52 |
| no | 454 | 54.05 |
| Do not know | 138 | 16.43 |
Risk factors associated with psychological violence among GPs and general nurses in township hospitals in Heilongjiang province (binary logistic regression model results)
| Characteristics | Psychological violence ( | ||||||||||||
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| Univariate analysis | logistic regression(initial model) | logistic regression(final model) | |||||||||||
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| Gender | Male | 200 | 45.25 | 242 | 54.75 | 0.000 | 0.995 | 1.00 | Reference | ||||
| Female | 180 | 45.23 | 218 | 54.77 | 0.809 | (0.586,1.116) | 0.379 | ||||||
| Age | < 35 | 73 | 51.41 | 69 | 48.59 | 9.922 | 0.007 | 1.00 | Reference | 1.00 | Reference | ||
| 35–45 | 156 | 36.97 | 266 | 63.03 | 0.423 | (0.280, 0.639) | < 0.001 | 0.473 | (0.283, 0.832) | 0.006 | |||
| > 45 | 104 | 37.68 | 172 | 62.32 | 0.484 | (0.313, 0.750) | 0.001 | 0.544 | (0.333, 0.956) | 0.009 | |||
| Years of experiences | < 10 | 49 | 41.53 | 69 | 58.47 | 1.160 | 0.560 | 1.00 | Reference | ||||
| 10–20 | 147 | 37.69 | 243 | 62.31 | 0.640 | (0.380,1.079) | 0.094 | ||||||
| > 20 | 137 | 41.27 | 195 | 58.73 | 0.445 | (0.024–8.187) | 0.498 | ||||||
| Education | Postgraduate | 4 | 50.00 | 4 | 50.00 | 14.057 | 0.003 | 1.00 | Reference | ||||
| Undergraduate | 135 | 35.71 | 243 | 64.29 | 0.645 | (0.146,2.848) | 0.562 | ||||||
| College | 158 | 45.14 | 192 | 54.86 | 1.136 | (0.260,4.969) | 0.866 | ||||||
| Technical secondary school education and below | 28 | 26.92 | 76 | 73.08 | 0.708 | (0.156,3.215) | 0.655 | ||||||
| Occupation | General Practitioner | 156 | 35.29 | 286 | 64.71 | 7.373 | 0.007 | 1.00 | Reference | 1.00 | Reference | ||
| General nurse | 177 | 44.47 | 221 | 55.53 | 1.787 | (1.330, 2.402) | 0.001 | 1.832 | (1.520, 2.603) | 0.001 | |||
| Professional title | Senior | 102 | 58.62 | 72 | 41.38 | 33.033 | < 0.001 | 1.00 | Reference | 1.00 | Reference | ||
| Intermediate/Junior/No title | 231 | 34.68 | 435 | 65.32 | 0.632 | (0.541, 0.739) | < 0.001 | 0.680 | (0.571, 0.810) | < 0.001 | |||
| Work in shifts | Yes | 169 | 43.90 | 216 | 56.10 | 5.374 | 0.020 | 1.00 | Reference | 1.00 | Reference | ||
| No | 164 | 36.04 | 291 | 63.96 | 0.613 | (0.455,0.826) | 0.001 | 0.675 | (0.506,0.901) | 0.008 | |||