| Literature DB >> 35958846 |
Miao Qi1, Xiuli Hu1, Jun Liu2, Jing Wen3, Xue Hu4, Zhizhong Wang4, Xiuquan Shi1,5.
Abstract
Background: The pandemic of COVID-19 has significantly increased the burden on healthcare workers and potentially affect their risk of workplace violence (WPV). This study aimed to explore the prevalence and risk factors of WPV among healthcare workers during the peaking and the remission of the COVID-19 pandemic in China.Entities:
Keywords: COVID-19; China; healthcare workers; prevalence; risk factors; workplace violence
Mesh:
Year: 2022 PMID: 35958846 PMCID: PMC9358256 DOI: 10.3389/fpubh.2022.938423
Source DB: PubMed Journal: Front Public Health ISSN: 2296-2565
Socio-demographic, occupational characteristics of participants, and prevalence of workplace violence in year 2020 and 2021 [n (%)].
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| Total | 3,006 (100.0) | 1,931 (64.2) | 2,397 (79.7) | 3,465 (100.0) | 1,844 (53.2) | 2,263 (65.3) |
| Gender, males | 1,049 (34.9) | 761 (39.4) | 891 (37.2) | 853 (24.6) | 514 (27.9) | 628 (27.8) |
| Age (years) | ||||||
| ≤ 30 | 1,085 (36.1) | 602 (31.2) | 792 (33.0) | 1,108 (32.0) | 487 (26.4) | 622 (27.5) |
| 31–40 | 1,206 (40.1) | 810 (41.9) | 975 (40.7) | 1,501 (43.3) | 819 (44.4) | 982 (43.4) |
| 41–50 | 572 (19.0) | 412 (21.3) | 508 (21.2) | 623 (18.0) | 385 (20.9) | 476 (21.0) |
| >50 | 143 (4.8) | 107 (5.5) | 122 (5.1) | 233 (6.7) | 153 (8.3) | 183 (8.1) |
| Education | ||||||
| Bachelor | 2,029 (67.5) | 1,296 (67.1) | 1,590 (66.3) | 2,812 (81.2) | 1,500 (81.3) | 1,830 (80.9) |
| Master | 813 (27.0) | 521 (27.0) | 664 (27.7) | 541 (15.6) | 276 (15.0) | 360 (15.9) |
| Ph.D | 164 (5.5) | 114 (5.9) | 143 (6.0) | 112 (3.2) | 68 (3.7) | 73 (3.2) |
| Marital status | ||||||
| Unmarried | 656 (21.8) | 365 (18.9) | 476 (19.9) | 734 (21.2) | 345 (18.7) | 442 (19.5) |
| Married | 2,266 (75.4) | 1,506 (78.0) | 1,849 (77.1) | 2,614 (75.4) | 1,428 (77.4) | 1,739 (76.8) |
| Divorced/widow | 84 (2.8) | 60 (3.1) | 72 (3.0) | 117 (3.4) | 71 (3.9) | 82 (3.6) |
| Specialty | ||||||
| Nurse | 540 (18.0) | 314 (16.3) | 416 (17.4) | 509 (14.7) | 223 (12.1) | 312 (13.8) |
| Internal medicine | 583 (19.4) | 337 (17.5) | 422 (17.6) | 1,549 (44.7) | 828 (44.9) | 991 (43.8) |
| Obstetrics/gynecology/pediatrics | 1,043 (34.7) | 691 (35.8) | 857 (35.8) | 731 (21.1) | 381 (20.7) | 496 (21.9) |
| Surgery | 290 (9.6) | 189 (9.8) | 229 (9.6) | 170 (4.9) | 93 (5.0) | 109 (4.8) |
| Psychiatry | 343 (11.4) | 245 (12.7) | 295 (12.3) | 294 (8.5) | 195 (10.6) | 217 (9.6) |
| Other | 207 (6.9) | 155 (8.0) | 178 (7.4) | 212 (6.1) | 124 (6.7) | 138 (6.1) |
| Length in practice (years) | ||||||
| ≤ 5 | 969 (32.2) | 527 (27.3) | 708 (29.5) | 827 (23.9) | 358 (19.4) | 467 (20.6) |
| 6–9 | 495 (16.5) | 314 (16.3) | 390 (16.3) | 608 (17.5) | 299 (16.2) | 357 (15.8) |
| ≥10 | 1,542 (51.3) | 1,090 (56.4) | 1,299 (54.2) | 2,030 (58.6) | 1,187 (64.4) | 1,439 (63.6) |
| COVID−19 patient care, yes | 668 (22.2) | 475 (24.6) | 559 (23.3) | 462 (13.3) | 262 (14.2) | 309 (13.7) |
| Medical error (self–discovery), yes | 1,495 (49.7) | 1,140 (59.0) | 1,305 (54.4) | 1,339 (38.6) | 918 (49.8) | 1,043 (46.1) |
| Moral injury, yes | 1,695 (56.4) | 1,149 (59.5) | 1,390 (58.0) | 1,270 (36.7) | 756 (41.0) | 873 (38.6) |
| Depression, yes | 1,663 (55.3) | 1,159 (60.0) | 1,384 (57.7) | 2,621 (75.6) | 1,500 (81.3) | 1,820 (80.4) |
| Anxiety, yes | 860 (28.6) | 624 (32.3) | 724 (30.2) | 712 (20.5) | 447 (24.2) | 532 (23.5) |
Violence-Participants had been physically or verbally attacked by patients or their close relatives; Witness-Participants witnessed co-workers being physically or verbally attacked by patients or their close relatives.
Figure 1Multiple logistic regression analysis of related factors of workplace violence experienced by healthcare workers. (A) Results of the 2020 survey; (B) Results of the 2021 survey.
Figure 2Multiple logistic regression analysis of related factors of healthcare workers witnessing colleagues' workplace violence. (A) Results of the 2020 survey; (B) Results of the 2021 survey.