| Literature DB >> 31542763 |
Sheng Zhi Yang1, Dan Wu2, Nan Wang1, Therese Hesketh3,4, Kai Sing Sun5, Lu Li6, Xudong Zhou6.
Abstract
OBJECTIVES: To determine the prevalence of physical violence and threats against health workers and the aftermath in tertiary, secondary and primary care facilities in China.Entities:
Keywords: China; health sector; impunity; workplace violence
Year: 2019 PMID: 31542763 PMCID: PMC6756606 DOI: 10.1136/bmjopen-2019-031513
Source DB: PubMed Journal: BMJ Open ISSN: 2044-6055 Impact factor: 2.692
Demographics and professional characteristics of health workers who reported physical violence, threats or Yi Nao in the past year in Zhejiang, China
| Total* | Physical violence (%) (n=224) | Threats of physical violence (%) (n=848) | Yi Nao (%) (n=1956) | |
| Age | ||||
| Mean (SD) | 33.7 (8.6) | 34.9 (8.5) | 34.5 (7.9) | 33.9 (8.1) |
| Sex | ||||
| Male | 1295 (26.7) | 99 (44.6) | 277 (32.7) | 625 (32.1) |
| Female | 3551 (73.3) | 123 (55.4) | 570 (67.3) | 1325 (67.9) |
| Level of facility | ||||
| Tertiary hospitals | 1873 (38.5) | 67 (29.9) | 315 (37.1) | 765 (39.1) |
| Secondary hospitals | 1509 (31.0) | 120 (53.6) | 323 (38.1) | 765 (39.1) |
| Primary care facilities | 1480 (30.4) | 37 (16.5) | 210 (24.8) | 426 (21.8) |
| Type of health workers | ||||
| Doctors | 1954 (40.2) | 118 (52.7) | 398 (47.0) | 898 (46.0) |
| Nurses | 1911 (39.4) | 78 (34.8) | 328 (38.7) | 755 (38.7) |
| Laboratory | 692 (14.3) | 20 (8.9) | 95 (11.2) | 221 (11.3) |
| Administrators | 299 (6.2) | 8 (3.6) | 26 (3.1) | 78 (4.0) |
| Professional ranking | ||||
| Junior | 2205 (45.5) | 94 (42) | 344 (40.6) | 821 (42.1) |
| Intermediate | 1571 (32.4) | 84 (37.5) | 320 (37.8) | 678 (34.7) |
| Senior | 579 (11.9) | 33 (14.7) | 140 (16.5) | 303 (15.5) |
| None | 496 (10.2) | 13 (5.8) | 43 (5.1) | 150 (7.7) |
| Encourage reporting violence in the facility | ||||
| No | 487 (10.0) | 62 (27.7) | 141 (16.7) | 282 (14.4) |
| Yes | 2752 (56.8) | 101 (45.1) | 423 (50.1) | 1058 (54.1) |
| Don't know | 1609 (33.2) | 61 (27.2) | 281 (33.3) | 615 (31.5) |
%: valid percentages.
*Column frequencies do not add up to the total due to missing values.
Characteristics of physical violence incidents against health workers in Zhejiang, China (n=224)
| Characteristics | N (%) | Characteristics | N (%) |
| How did the perpetrator(s) attack you? | How did you respond after it happened? | ||
| Pushing | 107 (47.8) | Reported to police | 64 (29.1) |
| Beating up | 32 (14.3) | Reported to senior doctors/hospital | 122 (55.5) |
| Kicking | 23 (10.3) | Shared with my friends/family | 47 (21.4) |
| Stamping | 3 (1.3) | Shared with my colleague | 90 (40.9) |
| Slapping | 19 (8.5) | Took no action | 34 (15.5) |
| Pulling hair | 12 (5.4) | Reported to medical association | 1 (0.4) |
| Strangling | 14 (6.3) | Why did not you report to police? (n=153) | |
| Punching | 20 (8.9) | Felt useless | 90 (58.8) |
| Biting | 7 (3.1) | Not important | 14 (9.2) |
| Scratching | 11 (4.9) | Felt ashamed | 7 (4.6) |
| Stabbing | 1 (0.4) | Cumbersome | 28 (18.3) |
| Other damaging behaviours using implements | 28 (12.5) | Fear of negative consequences or retaliation | 26 (17.0) |
| Others | 62 (27.7) | Didn’t know who to report to | 32 (20.9) |
| Who attacked you? | Victim was physically injured | 64 (28.6) | |
| Patient | 102 (45.7) | The consequences of the perpetrator(s) | |
| Relatives or friends of patient | 160 (71.7) | None | 157 (72.4) |
| Yi Nao | 12 (5.4) | Verbal warning and apology | 27 (12.4) |
| Others | 3 (1.3) | Fined | 2 (0.9) |
| How did you respond when it happened? | Short-term police detention | 19 (8.8) | |
| Swearing | 7 (3.2) | Prosecuted with unknown results | 5 (2.3) |
| Fight back | 19 (8.6) | Sentenced | 3 (1.4) |
| Run away | 52 (23.5) | Other | 13 (6.0) |
| Shout for help | 32 (14.5) | Case investigated | |
| Protected myself, not fight back | 63 (28.5) | Yes | 56 (25.7) |
| Asked attacker to stop | 45 (20.4) | No | 119 (54.6) |
| Try to calm perpetrator(s) down | 109 (49.3) | Don’t know | 43 (19.7) |
| Took no action | 17 (7.7) | Spread on social media* | 10 (4.5) |
| Other | 13 (5.9) | Reported in wider news media† | 6 (2.7) |
| Satisfied with how the incident was handled | 11 (4.9) |
%: valid percentages.
*Common social media platforms included Weibo (microblog similar to Twitter), QQ and WeChat (instant messaging and social networking mobile phone applications which are similar to Facebook).
†This included news websites or traditional news media like TV and newspapers.
Impact of physical violence or threats on victims in the health sector in Zhejiang, China
| Total (%) | Physical violence (%) | Threats (%) | |
| Repeated, disturbing memories, thoughts or images of the attack | 835 (79.9) | 169 (77.9) | 666 (80.4) |
| Made you trust less in patients as a whole | 826 (79.0) | 161 (75.2) | 665 (79.9) |
| Avoiding thinking about or talking about the attack | 653 (62.8) | 125 (58.7) | 528 (63.9) |
| Being ‘super-alert’ or watchful and on guard | 1000 (95.5) | 201 (93.1) | 799 (96.1) |
| Fearful of dealing with urgent or severe cases | 791 (76.0) | 163 (76.5) | 628 (75.8) |
| Often consider how to protect yourself while seeing patients | 873 (83.5) | 189 (87.5) | 684 (82.5) |
| Wanting to quit the current post | 618 (59.4) | 131 (61.5) | 487 (58.9) |
| Took some time off from work after being attacked | 185 (18.0) | 46 (21.0) | 139 (17.1) |
%: valid percentages.
Correlates of physical violence, threats and exposure to Yi Nao among health workers in China
| Physical violence | Threats of physical violence | Exposure to Yi Nao | ||||||||||
| OR (95% CI) | P value | AOR (95% CI)† | P value | OR (95% CI) | P value | AOR (95% CI)† | P value | OR (95% CI) | P value | AOR (95% CI)† | P value | |
| Age | 1.02 | 0.034 | 1.00 | 0.689 | 1.01 | 0.002 | 0.99 | 0.074 | 1.01 | 0.129 | 0.98 | <0.001 |
| Sex | ||||||||||||
| Female | Ref | |||||||||||
| Male | 2.31 | <0.001 | 2.18 | <0.001 | 1.42 | <0.001 | 1.33 | 0.004 | 1.57 | <0.001 | 1.42 | <0.001 |
| Level of facility | ||||||||||||
| Primary care | Ref | |||||||||||
| Secondary hospitals | 3.37 | <0.001 | 3.29 | <0.001 | 1.65 | <0.001 | 1.61 | <0.001 | 2.57 | <0.001 | 2.47 | <0.001 |
| Tertiary hospitals | 1.45 | 1.447 | 1.47 | 0.082 | 1.22 | 0.038 | 1.28 | 0.018 | 1.71 | <0.001 | 1.68 | <0.001 |
| Types of health workers | ||||||||||||
| Nurses | Ref | |||||||||||
| Doctors | 1.51 | 0.006 | 1.02 | 0.908 | 1.23 | 0.011 | 1.07 | 0.536 | 1.30 | <0.001 | 1.17 | 0.053 |
| Laboratory | 0.70 | 0.160 | 0.57 | 0.044 | 0.77 | 0.036 | 0.78 | 0.064 | 0.72 | 0.001 | 0.74 | 0.004 |
| Administrators | 0.65 | 0.246 | 0.69 | 0.362 | 0.46 | <0.001 | 0.62 | 0.035 | 0.54 | <0.001 | 0.69 | 0.022 |
| Professional ranking | ||||||||||||
| Junior | Ref | |||||||||||
| Intermediate | 1.27 | 0.122 | 1.14 | 0.482 | 1.38 | <0.001 | 1.46 | <0.001 | 1.28 | <0.001 | 1.48 | <0.001 |
| Senior | 1.36 | 0.142 | 0.92 | 0.780 | 1.73 | <0.001 | 1.86 | <0.001 | 1.84 | <0.001 | 2.04 | <0.001 |
| None | 0.60 | 0.119 | 0.75 | 0.351 | 0.51 | <0.001 | 0.53 | <0.001 | 0.73 | 0.022 | 0.75 | 0.045 |
| Encourage reporting violence in the facility | ||||||||||||
| Yes | Ref | |||||||||||
| No | 3.83 | <0.001 | 3.64 | <0.001 | 2.24 | <0.001 | 2.21 | <0.001 | 2.22 | <0.001 | 2.26 | <0.001 |
| Don't know | 1.03 | 0.838 | 1.07 | 0.709 | 1.17 | 0.070 | 1.23 | 0.020 | 0.99 | 0.847 | 1.02 | 0.825 |
*<0.05; **<0.01; ***<0.001.
*Adjusted for age, sex, level of facility, type of health workers, professional ranking and encouragement perceived to report violence in the facility.
AOR, adjusted OR.