| Literature DB >> 28609441 |
Zhe Li1, Chun-Mei Yan2, Lei Shi1, Hui-Tong Mu1, Xin Li1, An-Qi Li1, Cheng-Song Zhao3, Tao Sun1, Lei Gao1, Li-Hua Fan1, Yi Mu3.
Abstract
BACKGROUND: In China, medical staff of children's hospitals are commonly exposed to violence. However, few studies on medical violence are conducted in the settings of children's hospitals. The aim of this study is to assess the incidence, magnitude, consequences, and potential risk factors of workplace violence (WPV) against medical staff of children's hospitals.Entities:
Mesh:
Year: 2017 PMID: 28609441 PMCID: PMC5469493 DOI: 10.1371/journal.pone.0179373
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
12 Children's hospital.
| Number | Hospital name | Location | Characteristics |
|---|---|---|---|
| Beijing Children’s Hospital | Beijing | a pure children’s hospital | |
| Dalian Children’s Hospital | Dalian city, Liaoning province | a pure children’s hospital | |
| Liaocheng Children’s Hospital | Liaocheng city, Shandong Province | a pure children’s hospital | |
| Zhengzhou Children’s Hospital | Zhengzhou city, Henan Province | a pure children’s hospital | |
| Anhui Province Children’s Hospital | Hefei city, Anhui Province | a pure children’s hospital | |
| Hangzhou Children’s Hospital | Hangzhou city, Zhejiang Province | a pure children’s hospital | |
| Xi’an Children’s Hospital | Xi’an city, Shanxi Province | a pure children’s hospital | |
| Jiangxi Province Children’s Hospital | Nanchang city, Jiangxi Province | a pure children’s hospital | |
| Shanxi Province Children’s Hospital | Taiyuan city, Shanxi Province | the one combing with women’s care | |
| Wuhan Children’s Hospital | Wuhan city, Hubei Province | the one combing with women’s care | |
| Guiyang Children’s Hospital | Guiyang city, Guizhou Province | the one combing with women’s care | |
| Liuzhou Children’s Hospital | Liuzhou city, Guangxi Province | the one combing with women’s care |
* These hospitals are tertiary hospitals and are located in eastern, central, and western china.
Background characteristics of the participants (n = 1932).
| Characteristic | N | Percent |
|---|---|---|
| Male | 404 | 20.9 |
| Female | 1528 | 79.1 |
| ≤30 | 913 | 47.3 |
| 31–40 | 702 | 36.3 |
| 41–50 | 248 | 12.8 |
| 51–60 | 64 | 3.3 |
| >60 | 5 | 0.3 |
| <Bachelor | 347 | 18.0 |
| Bachelor | 1072 | 55.5 |
| ≥Master | 513 | 26.6 |
| Married | 1267 | 65.6 |
| Single | 646 | 33.4 |
| Other | 19 | 1.0 |
| Junior | 1190 | 61.6 |
| Intermediate | 510 | 26.4 |
| Senior | 232 | 12.0 |
| Formal employee | 1431 | 74.1 |
| Temporary employee | 501 | 25.9 |
| <3000 | 385 | 19.9 |
| 3000–5000 | 1051 | 54.4 |
| 5000–10000 | 424 | 21.9 |
| >10000 | 72 | 3.7 |
| Physician | 882 | 45.7 |
| Nurse | 977 | 50.6 |
| Medical Technician | 73 | 3.8 |
| Emergency | 240 | 12.4 |
| Inter Medical | 468 | 24.2 |
| Surgical | 418 | 21.6 |
| Oncology | 52 | 2.7 |
| Neonate | 218 | 11.3 |
| ENT | 376 | 19.5 |
| Medical Imaging | 160 | 8.3 |
| <1 | 205 | 10.6 |
| 1–4 | 564 | 29.2 |
| 5–10 | 663 | 34.3 |
| 11–20 | 265 | 13.7 |
| >20 | 235 | 12.2 |
| 0–2 | 14 | 0.7 |
| 2–4 | 9 | 0.5 |
| 4–6 | 56 | 2.9 |
| 6–8 | 644 | 33.3 |
| >8 | 1209 | 62.6 |
| 0–2 | 87 | 4.5 |
| 2–4 | 138 | 7.1 |
| 4–6 | 272 | 14.1 |
| 6–8 | 1435 | 74.3 |
*ENT: ears, nose, and throat
Incidence of exposure to workplace violence(n = 1932).
| Exposure | Physical violence | Non-physical violence | Overall | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Verbal | Threats | Sexual | Total Non-physical | |||||||||
| N | % | N | % | N | % | N | % | N | % | N | % | |
| Yes | 206 | 10.7 | 1276 | 66.0 | 728 | 37.7 | 15 | 0.8 | 1316 | 68.1 | 1326 | 68.6 |
| No | 1726 | 89.3 | 656 | 34.0 | 1204 | 62.3 | 1917 | 99.2 | 616 | 31.9 | 606 | 31.4 |
Characteristics of exposures to physical and non-physical violence in the last 12 months (n = 1932).
| N | Non-physical violence | Physical violence | |||||||
|---|---|---|---|---|---|---|---|---|---|
| n | % | χ2 | P-value | n | % | χ | P-value | ||
| Male | 404 | 303 | 75.0 | 11.146 | 0.001 | 64 | 15.8 | 14.384 | 0.000 |
| Female | 1528 | 1013 | 66.3 | 142 | 9.3 | ||||
| ≤30 | 913 | 553 | 60.6 | 46.019 | 0.000 | 76 | 8.3 | 11.962 | 0.008 |
| 31–40 | 702 | 527 | 75.1 | 96 | 13.7 | ||||
| 41–50 | 248 | 182 | 73.4 | 27 | 10.9 | ||||
| ≥51 | 69 | 54 | 78.3 | 7 | 10.1 | ||||
| <Bachelor | 347 | 194 | 55.9 | 44.236 | 0.000 | 28 | 8.1 | 6.252 | 0.044 |
| Bachelor | 1072 | 725 | 67.6 | 110 | 10.3 | ||||
| ≥Master | 513 | 397 | 77.4 | 68 | 13.3 | ||||
| Married | 1267 | 924 | 72.9 | 39.249 | 0.000 | 157 | 12.4 | 11.551 | 0.001 |
| Single or other | 665 | 392 | 58.9 | 49 | 7.4 | ||||
| Primary | 1190 | 757 | 63.6 | 28.940 | 0.000 | 111 | 9.3 | 6.511 | 0.039 |
| Middle | 510 | 385 | 75.5 | 62 | 12.2 | ||||
| Senior | 232 | 174 | 75.0 | 33 | 14.2 | ||||
| Formal employee | 1431 | 1025 | 71.6 | 31.345 | 0.000 | 161 | 11.3 | 2.005 | 0.157 |
| Temporary employee | 501 | 291 | 58.1 | 45 | 9.0 | ||||
| <3000 | 385 | 227 | 59.0 | 26.581 | 0.000 | 40 | 10.4 | 8.318 | 0.040 |
| 3000–5000 | 1051 | 716 | 68.1 | 99 | 9.4 | ||||
| 5000–10000 | 424 | 317 | 74.8 | 61 | 14.4 | ||||
| >10000 | 72 | 56 | 77.8 | 6 | 8.3 | ||||
| Physician | 882 | 662 | 75.1 | 36.843 | 0.000 | 103 | 11.7 | 3.003 | 0.223 |
| Nurse | 977 | 605 | 61.9 | 93 | 9.5 | ||||
| Medical Technician | 73 | 49 | 67.1 | 10 | 13.7 | ||||
| Emergency | 240 | 167 | 69.6 | 65.859 | 0.000 | 44 | 18.3 | 26.770 | 0.000 |
| Internal medicine | 468 | 335 | 71.6 | 53 | 11.3 | ||||
| Surgery | 418 | 256 | 61.2 | 31 | 7.4 | ||||
| Oncology | 52 | 45 | 86.5 | 8 | 15.4 | ||||
| Neonate | 218 | 110 | 50.5 | 13 | 6.0 | ||||
| ENT | 376 | 290 | 77.1 | 37 | 9.8 | ||||
| Medical Imaging | 160 | 113 | 70.6 | 20 | 12.5 | ||||
| <1 | 205 | 82 | 40.0 | 96.017 | 0.000 | 6 | 2.9 | 22.840 | 0.000 |
| 1–4 | 564 | 375 | 66.5 | 53 | 9.4 | ||||
| 5–10 | 663 | 484 | 73.0 | 90 | 13.6 | ||||
| 11–20 | 265 | 207 | 78.1 | 36 | 13.6 | ||||
| >20 | 235 | 168 | 71.5 | 21 | 8.9 | ||||
| 0–6 | 79 | 33 | 41.8 | 55.837 | 0.000 | 6 | 7.6 | 1.322 | 0.516 |
| 6–8 | 644 | 394 | 61.2 | 65 | 10.1 | ||||
| >8 | 1209 | 889 | 73.5 | 135 | 11.2 | ||||
| 0–2 | 87 | 39 | 44.8 | 23.798 | 0.000 | 3 | 3.4 | 8.451 | 0.038 |
| 2–4 | 138 | 96 | 69.6 | 10 | 7.2 | ||||
| 4–6 | 272 | 181 | 66.5 | 36 | 13.2 | ||||
| 6–8 | 1435 | 1000 | 69.7 | 157 | 10.9 | ||||
* Nonphysical violence includes threats, verbal abuse and sexual harassment.
χ2: Pearson Chi-Square Test
Multiple logistic regression of non-physical violence (n = 1315) and physical violence (n = 206).
| Non-physical violence | Physicalviolence | |||||
|---|---|---|---|---|---|---|
| OR | 95% CI | P-value | OR | 95% CI | P-value | |
| Female | 1.0 | Reference | ||||
| Male | 1.979 | 1.378–2.841 | 0.000 | |||
| <Bachelor | 1.0 | Reference | 1.0 | Reference | ||
| Bachelor | 1.203 | 0.908–1.592 | 0.198 | 1.020 | 0.647–1.607 | 0.932 |
| ≥Master | 1.734 | 1.149–2.617 | 0.009 | 1.574 | 0.951–2.605 | 0.078 |
| <3000 | 1.0 | Reference | ||||
| 3000–5000 | 0.621 | 0.409–0.941 | 0.025 | |||
| 5000–1000 | 0.819 | 0.506–1.327 | 0.417 | |||
| >10000 | 0.363 | 0.137–0.960 | 0.041 | |||
| Physician | 1.0 | Reference | ||||
| Nurse | 0.664 | 0.497–0.888 | 0.006 | |||
| Medical Technician | 0.729 | 0.396–1.342 | 0.309 | |||
| Emergency | 1.0 | Reference | 1.0 | Reference | ||
| Internalmedicine | 1.054 | 0.735–1.511 | 0.775 | 0.553 | 0.353–0.866 | 0.010 |
| Surgery | 0.650 | 0.454–0.932 | 0.019 | 0.284 | 0.169–0.478 | 0.000 |
| Oncology | 2.733 | 1.126–6.633 | 0.026 | 0.770 | 0.332–1.785 | 0.543 |
| Neonate | 0.392 | 0.260–0.592 | 0.000 | 0.287 | 0.148–0.557 | 0.000 |
| ENT | 1.408 | 0.953–2.078 | 0.086 | 0.438 | 0.269–0.713 | 0.001 |
| Medical Imaging | 1.016 | 0.611–1.689 | 0.952 | 0.560 | 0.306–1.028 | 0.061 |
| <1 | 1.0 | Reference | 1.0 | Reference | ||
| 1–4 | 3.116 | 2.193–4.429 | 0.000 | 3.703 | 1.534–8.938 | 0.004 |
| 5–10 | 4.443 | 3.112–6.342 | 0.000 | 6.304 | 2.610–15.229 | 0.000 |
| 11–20 | 5.398 | 3.512–8.298 | 0.000 | 6.468 | 2.538–16.485 | 0.000 |
| >20 | 4.108 | 2.676–6.306 | 0.000 | 4.377 | 1.636–11.706 | 0.003 |
| 0–6 | 1.0 | Reference | ||||
| 6–8 | 1.603 | 0.934–2.751 | 0.087 | |||
| >8 | 2.633 | 1.554–4.459 | 0.000 | |||
| 0–2 | 1.0 | Reference | 1.0 | Reference | ||
| 2–4 | 1.995 | 1.081–3.681 | 0.027 | 1.664 | 0.433–6.388 | 0.458 |
| 4–6 | 2.025 | 1.173–3.496 | 0.011 | 3.232 | 0.943–11.077 | 0.062 |
| 6–8 | 2.216 | 1.360–3.611 | 0.001 | 2.857 | 0.867–9.412 | 0.084 |
OR: Odds ratios, CI: Confidence interval, Reference: reference category in the logistic regression model
Characteristics of perpetrators, time and place associated with workplace violence.
| Item | Variable | Frequency | Percent |
|---|---|---|---|
| Patient | 72 | 5.4 | |
| Family members | 1258 | 94.9 | |
| Visitors | 268 | 20.2 | |
| Other | 16 | 1.2 | |
| Male | 1110 | 83.8 | |
| Female | 776 | 58.6 | |
| ≤20years | 37 | 2.8 | |
| 21–30years | 533 | 40.2 | |
| 31–40years | 844 | 63.7 | |
| 41–50years | 308 | 23.2 | |
| 51–60years | 231 | 17.4 | |
| >60years | 67 | 5.1 | |
| Outpatients Department | 373 | 28.1 | |
| Ward | 554 | 41.8 | |
| Doctor's Office | 156 | 11.8 | |
| Nursing station/office | 158 | 11.9 | |
| Treatment room | 51 | 3.8 | |
| Other | 34 | 2.6 | |
| Day shift | 937 | 70.7 | |
| Night shift | 362 | 27.3 | |
| After work | 27 | 2.0 | |
| Alone | 418 | 31.5 | |
| There are other colleagues present | 908 | 68.5 |
The characteristics of the perpetrators were multiple-choice(identity, gender and age). The time and place of occurrence is a single-choice.
Victim's coping style and psychosomatic effect, victims' views on the causes of hospital workplace violence.
| Item | Frequency | Percent |
|---|---|---|
| Tolerance and avoidance | 736 | 55.5 |
| Patience and understanding | 743 | 56.0 |
| Give tit for tat(such as sparring,insults) | 34 | 2.6 |
| Afterthefirstreasonablecounterattack | 258 | 19.5 |
| Ask a colleague for help | 369 | 27.8 |
| Ask a managers or security for help | 606 | 45.7 |
| Ask a other patients or family member for help | 39 | 2.9 |
| Call the police | 278 | 21.0 |
| Other | 24 | 1.8 |
| The influence of psychology andbehavior | ||
| No effect | 95 | 7.2 |
| Unable to concentrate | 535 | 40.3 |
| Aggrievement | 828 | 62.4 |
| Angry | 793 | 59.8 |
| Anxious | 398 | 30.0 |
| Depressed | 322 | 24.3 |
| Insomnia | 280 | 21.1 |
| Work enthusiasm decline | 755 | 56.9 |
| Work efficiency decline | 581 | 43.8 |
| Hate and fear of patients and their families | 298 | 22.5 |
| Interpersonal communication barriers | 112 | 8.4 |
| Have turnover intention | 334 | 25.2 |
| Havesuicidalthoughts | 34 | 2.6 |
| Scene repetition | 160 | 12.1 |
| Other | 11 | 0.8 |
| Because of this event to see a doctor | ||
| Psychological counseling | 74 | 5.6 |
| Routine treatment | 36 | 2.7 |
| No | 1216 | 91.7 |
| The causes of perpetrators initiated violence | ||
| Patient disability or death | 95 | 7.2 |
| Patients with dysfunction or complications | 100 | 7.5 |
| Mental disorders | 66 | 5.0 |
| Drinking and drug abuse | 166 | 12.5 |
| Low education level | 689 | 52.0 |
| Long waiting time for treatment | 498 | 37.6 |
| Unreasonable demands are rejected | 597 | 45.0 |
| Not satisfied with treatment effect | 582 | 43.9 |
| Not satisfied with the service attitude of medical staff | 338 | 25.5 |
| The hospital service process is cumbersome | 434 | 32.7 |
| Medical expenses are expensive | 403 | 30.4 |
| Want to seek economic compensation | 248 | 18.7 |
| Other | 76 | 5.7 |