| Literature DB >> 34272223 |
Yuanshuo Ma1, Yongchen Wang2, Yu Shi1, Lei Shi3, Licheng Wang1, Zhe Li4, Guoqiang Li1, Yafeng Zhang1, Lihua Fan5, Xin Ni6.
Abstract
OBJECTIVE: The purposes of this study were to evaluate the rate of workplace violence in county hospitals in China and its impact on healthcare workers and to explore the relationship between hospital violence, coping styles and anxiety to provide effective procedures for reducing anxiety among healthcare workers.Entities:
Keywords: health policy; quality in health care; risk management
Year: 2021 PMID: 34272223 PMCID: PMC8287625 DOI: 10.1136/bmjopen-2020-048493
Source DB: PubMed Journal: BMJ Open ISSN: 2044-6055 Impact factor: 2.692
The SAS score in our participants divided by demographic characteristics (N=1030)
| Characteristics | N (%) | SAS score | T/F | P value |
| Gender | ||||
| Male | 224 (21.75) | 47.16±13.45 | 3.810 | <0.001 |
| Female | 806 (78.25) | 43.52±12.40 | ||
| Age | ||||
| <30 | 465 (45.15) | 42.12±11.13 | 6.557 | <0.001 |
| 31–40 | 315 (30.58) | 46.16±13.16 | ||
| 41–50 | 190 (18.45) | 46.09±14.39 | ||
| 51–60 | 57 (5.53) | 46.23±13.97 | ||
| >60 | 3 (0.29) | 40.82±13.93 | ||
| Education level | ||||
| <Bachelor | 370 (35.92) | 43.52±13.10 | 2.139 | 0.118 |
| Bachelor | 594 (57.67) | 44.99±12.56 | ||
| ≥Master | 66 (6.41) | 42.65±11.76 | ||
| Marital status | ||||
| Married | 715 (69.42) | 44.91±12.88 | 4.195 | 0.015 |
| Single | 302 (29.32) | 42.69±11.96 | ||
| Other | 13 (1.26) | 49.13±17.41 | ||
| Professional title | ||||
| Senior | 236 (22.91) | 42.78±11.49 | 7.314 | 0.001 |
| Intermediate | 332 (32.23) | 44.90±12.73 | ||
| Primary | 462 (44.85) | 46.50±14.53 | ||
| Profession | ||||
| Physician | 404 (39.22) | 45.08±12.14 | 6.035 | 0.014 |
| Nurse | 626 (60.78) | 43.53±12.41 | ||
| Department | ||||
| Emergency | 91 (8.83) | 46.46±12.79 | 6.698 | 0.001 |
| Outpatient | 78 (7.57) | 48.56±16.84 | ||
| Ward | 861 (83.59) | 43.70±12.19 | ||
| Work experience (years) | ||||
| <1 | 85 (8.25) | 40.66±12.27 | 4.753 | 0.001 |
| 1–4 | 264 (25.63) | 42.89±11.19 | ||
| 5–10 | 282 (27.38) | 44.15±11.89 | ||
| 11–20 | 214 (20.78) | 46.30±13.46 | ||
| >20 | 185 (17.96) | 45.98±14.68 | ||
| Daily working hours | ||||
| <2 | 43 (4.17) | 43.52±11.40 | 1.952 | 0.100 |
| 2–4 | 48 (4.66) | 46.77±15.61 | ||
| 5–6 | 52 (5.05) | 41.49±10.40 | ||
| 7–8 | 322 (31.26) | 43.37±12.89 | ||
| >8 | 565 (54.85) | 44.96±12.60 |
SAS, Self-rating Anxiety Scale.
Analysis of the factors that influence healthcare workers' anxiety
| Characteristics | B | SE | t | 95% CI | P value |
| Constant | 37.64 | 2.58 | 14.57 | 32.57 to 42.70 | <0.001 |
| Gender | |||||
| Male | 1.00 | ||||
| Female | −2.72 | 0.94 | −2.88 | −4.57 to 0.87 | 0.004 |
| Age | |||||
| <30 | 1.00 | ||||
| 31–40 | 2.83 | 1.06 | 2.66 | 0.75 to 4.92 | 0.008 |
| 41–50 | 2.07 | 1.49 | 1.39 | −0.85 to 4.99 | 0.165 |
| 51–60 | 1.64 | 2.06 | 0.80 | −2.40 to 5.68 | 0.427 |
| >60 | |||||
| Marital status | |||||
| Married | 1.00 | ||||
| Single | 0.75 | 0.92 | 0.81 | −1.06 to 2.55 | 0.42 |
| Other | 3.74 | 2.81 | 1.33 | −1.77 to 9.25 | 0.18 |
| Professional title | |||||
| Senior | 1.00 | ||||
| Intermediate | −0.84 | 0.95 | −0.89 | −2.69 to 1.02 | 0.38 |
| Primary | −0.93 | 1.18 | −0.79 | −3.24 to 1.39 | 0.43 |
| Profession | |||||
| Physician | 1.00 | ||||
| Nurse | 0.90 | 0.84 | 1.08 | −0.74 to 2.55 | 0.28 |
| Department | |||||
| Emergency | 1.00 | ||||
| Outpatient | 1.97 | 1.57 | 1.25 | −1.11 to 5.06 | 0.21 |
| Ward | −1.92 | −1.11 | −1.72 | −4.10 to 0.27 | 0.09 |
| Work experience (years) | |||||
| <1 | 1.00 | ||||
| 1–4 | 1.88 | 1.27 | 1.48 | −0.62 to 4.38 | 0.14 |
| 5–10 | 1.68 | 1.42 | 1.18 | −1.12 to 4.47 | 0.24 |
| 11–20 | 2.06 | 1.69 | 1.22 | −1.27 to 5.38 | 0.23 |
| >20 | 2.11 | 1.89 | 1.12 | −1.61 to 5.83 | 0.27 |
Type of violence experienced by healthcare workers (N=1030)
| Type of violence | N | Per cent (%) |
| Verbal violence | 681 | 66.12 |
| Physical violence | 157 | 15.24 |
| Sexual harassment | 47 | 4.56 |
| Total | 693 | 67.28 |
Healthcare workers who suffer from hospital violence and anxiety (N=1030)
| Variables | No anxiety | Anxiety | Total | ||
| N | Per cent (%) | N | Per cent (%) | ||
| No violence | 259 | 36.02 | 78 | 25.08 | 337 |
| Violence | 460 | 63.98 | 233 | 74.92 | 693 |
| Total | 719 | 100.00 | 311 | 100.00 | 1030 |
Means, SD, scale range and Pearson’s correlation coefficients (N=1030)
| Variables | M | SD | Hospital violence | Positive coping | Negative coping | Anxiety |
| Hospital violence | 2.765 | 3.189 | – | |||
| Positive coping | 31.543 | 7.754 | −0.091* | – | ||
| Negative coping | 26.626 | 7.581 | 0.114* | 0.177† | – | |
| Anxiety | 44.313 | 12.719 | 0.298† | −0.085* | 0.254† | – |
*P<0.01.
†P<0.001.
Figure 1Parallel mediation of trait coping styles between hospital violence and anxiety Note: **p<0.01, ***p<0.001.
The mediating effect of trait coping styles in the relationship between hospital violence and anxiety (N=1030)
| Variables | Effect | SE | 95% CI | Percentage mediated (%) |
| Direct effect | 0.9098 | 0.1216 | 0.000 to 0.671 | 84.42 |
| Total indirect effect | 0.1680 | 0.0343 | 0.108 to 0.245 | 15.59 |
| Positive coping | 0.0407 | 0.0172 | 0.012 to 0.079 | 3.78 |
| Negative coping | 0.1272 | 0.0349 | 0.066 to 0.205 | 11.80 |
| P-N | −0.0865 | 0.0431 | −0.177 to -0.006 |
Note: P-N means positive coping-negative coping; when the 95% CI does not contain 0, the mediation effect between the two mediation paths is different.