| Literature DB >> 34173953 |
Nanees S Ghareeb1,2, Dalia A El-Shafei3, Afaf M Eladl1.
Abstract
During the COVID-19 pandemic, significant cases of violence, intimidation, or stigmatization were targeted at healthcare workers (HCWs), patients, and medical infrastructure. These occurrences were most likely just the "tip of the iceberg," with much more remaining unnoticed. The present study's purpose was to assess the frequency, characteristics, effects, and contributing factors of workplace violence (WPV) committed against HCWs in AlKarak Governmental Hospital (KGH), South Jordan, during the COVID-19 pandemic. A cross-sectional study was conducted among 382 HCWs (170 physicians and 212 nurses) working in the KGH, Jordan, during January and February 2021, using a semi-structured questionnaire. The current study showed that most participants (65.5%) reported exposure to WPV, mainly verbal violence (52.0%), and patients' relatives were the principal perpetrators in most incidents. The regular reporting of these incidents is deficient. The victims suffered psychological and physical effects. These assaults on healthcare facilities highlight the importance of effective risk communication at all levels of society to minimize anxiety, stigma, and, eventually, WPV. The way we communicate about COVID-19 is vital in motivating people to take proactive steps to fight the disease and safeguard healthcare.Entities:
Keywords: COVID-19 pandemic; Front lines; Governmental hospital; Healthcare workers; Jordan; Workplace violence
Mesh:
Year: 2021 PMID: 34173953 PMCID: PMC8233595 DOI: 10.1007/s11356-021-15112-w
Source DB: PubMed Journal: Environ Sci Pollut Res Int ISSN: 0944-1344 Impact factor: 4.223
Socio-demographic and occupational characteristics of the studied participants (N = 382)
| Items | No. | % |
|---|---|---|
| Age | ||
| 20–35 | 135 | 35.34 |
| 35–50 | 180 | |
| > 50 | 67 | 17.54 |
| Mean ± SD: 40.24 ± 11.5 | ||
| Range (years): 22–55 | ||
| Sex | ||
| Male | 162 | 42.40 |
| Female | 220 | |
| Educational level | ||
| Diploma | 115 | 30.10 |
| Bachelor | 180 | |
| Higher educational degree | 87 | 22.78 |
| Occupation | ||
| Physician | 170 | 44.50 |
| Nurse | 212 | |
| Work duration | ||
| < 5 years | 125 | 32.72 |
| 5–10 years | 165 | |
| > 10 years | 92 | 24.08 |
| Rotating shifts | ||
| Yes | 220 | |
| No | 162 | 42.41 |
Bold imphasis indicates the highest frequency
Workplace violence, types, perpetrators, negative effects, and reaction to it in KGH during the last six months among the studied participants
| WPV during the last 6 months | No. | % |
|---|---|---|
| History of exposure (n = 382) | ||
| Yes | 250 | |
| No | 132 | 34.55 |
| Type of violence: (n = 250) | ||
| Physical | 40 | 16.00 |
| Verbal | 130 | |
| Mixed | 80 | 32.00 |
| Physical violence: (n = 120) | ||
| Hits | 97 | 80.83 |
| Kicks | 55 | 45.83 |
| Scratches | 33 | 27.5 |
| Pushes | 110 | |
| Pinches | 38 | 31.67 |
| Verbal violence: (n = 210) | ||
| Shouts | 190 | |
| Swears | 95 | 45.24 |
| Humiliations | 38 | 18.10 |
| Threats with harm | 123 | 58.57 |
| Perpetrators of violence: (n = 250) | ||
| Colleagues | 20 | 08.00 |
| Patients | 55 | 22.00 |
| Patient relatives | 220 | |
| Negative effect of violence: (n = 250) | ||
| Physical health | 90 | 36.00 |
| Psychological health | 210 | |
| Work performance | 190 | 76.00 |
| Social life | 100 | 40.00 |
| Reaction to violence: (n = 250) | ||
| Nothing | 90 | 36.00 |
| Avoid source of violence | 100 | 40.00 |
| Tries to defend themselves physically | 75 | 30.00 |
| Report abuse to manager | 46 | 18.40 |
| Transferred to another position | 73 | 29.20 |
| Tell the person to stop | 160 | |
| Use medicine for sleeping | 88 | 35.20 |
| Look for counseling | 75 | 30.00 |
| Avoid thinking or talking about the abuse | 83 | 33.20 |
| Be super alert | 92 | 36.80 |
| Taking sick leave | 85 | 34.00 |
Bold imphasis indicates the highest frequency
Reasons for non-reporting and contributing factors for WPV among the studied participants
| Items | No. | % |
|---|---|---|
| Reasons for non-reporting: (n = 204) | ||
| Not considered important | 110 | 53.92 |
| No harm intended | 120 | 58.82 |
| Offender apologized | 142 | 69.60 |
| Feel ashamed | 85 | 41.67 |
| Considered not beneficial | 173 | 84.80 |
| Can manage without help | 102 | 50.00 |
| Did not want to it be recorded in their professional file | 155 | 75.98 |
| Others | 2 | 0.98 |
| Contributing factors: (n = 382) | ||
| Intense workload | 225 | 58.90 |
| High patient expectation | 302 | 79.06 |
| Substance abuse by the patient | 210 | 54.97 |
| Long waiting period | 234 | 61.26 |
| Rejection of demands that cannot be accepted | 77 | 20.16 |
| Sensational reports from media | 64 | 16.75 |
| Lack of communication | 98 | 25.65 |
| Inadequate security | 129 | 33.77 |
| Others | 3 | 0.79 |
Graph 1Participants’ opinion regarding WPV in KGH
Graph 2Possible preventive measures to control WPV from participants’ points of view
Stepwise multiple logistic regression analysis for risk factors of WPV in KGH among the studied participants
| Risk factors of WPV | Adjusted OR (95% CI) |
|---|---|
| Rotating shift (yes) | |
| Duration of work (≤ 10 years) | |
| Age group (< 35 years) | |
| Male group | |
| Nurse group | 1.5 (0.75 |
| Educational level (diploma/bachelor) | 1.03 (0.44 |
*Statistically significant (p < 0.05)