| Literature DB >> 31623179 |
Pei-Yu Wang1, Pin-Hui Fang2, Chen-Long Wu3, Hsiang-Chin Hsu4, Chih-Hao Lin5.
Abstract
Workplace violence among Asian emergency medical services (EMS) has rarely been examined. A cross-sectional, mainly descriptive study using a standardized, paper-based, self-reported questionnaire survey was conducted between August and October 2018 among emergency medical technicians (EMTs) in the Tainan City Fire Bureau, Taiwan. A total of 152 EMT-paramedics responded to the questionnaire survey, constituting an overall response rate of 96.2%. The participants were predominantly male (96.1%), college-educated (4-year bachelor's degree) (49.3%), and middle-aged (35-44 years old) (63.8%). Among them, 113 (74.3%) and 75 (49.3%) participants had experienced verbal and physical assaults at work, respectively. Only 12 (7.9%) participants were familiar with relevant regulations or codes. The assaults predominantly occurred during evening shifts (16:00-24:00) and at the scene of the emergency. The most predominant violence perpetrators included patients, patients' families, or patients' friends. Nearly 10% of participants had experienced verbal assaults from hospital personnel. EMTs who encountered workplace violence rarely completed a paper report, filed for a lawsuit, or sought a psychiatric consultation. Fifty-eight (38.2%) and 16 (10.5%) participants were victims of frequent (at least once every 3 months) verbal and physical forms of violence, respectively; however, no statistically significant association was observed in terms of EMT gender, age, working years, education level, or the number of EMS deployments per month. The prevalence of workplace violence among Asian EMS is considerable and is comparable to that in Western countries. Strategies to prevent workplace violence should be tailored to local practice and effectively implemented.Entities:
Keywords: Asian; Taiwan; emergency medical services system; emergency medical technician; workplace violence
Mesh:
Year: 2019 PMID: 31623179 PMCID: PMC6843119 DOI: 10.3390/ijerph16203936
Source DB: PubMed Journal: Int J Environ Res Public Health ISSN: 1660-4601 Impact factor: 3.390
Personal characteristics and work experience of the study participants.
| Participants N = 152 (%) | |
|---|---|
|
| 146 (96.1) |
|
| |
| 20–34 | 42 (27.6) |
| 35–44 | 97 (63.8) |
| 45–55 | 13 (8.6) |
|
| |
| ≤5 | 1 (0.7) |
| 6–10 | 25 (16.4) |
| 11–15 | 57 (37.5) |
| ≥16 | 69 (45.4) |
|
| |
| 2-year college | 48 (31.6) |
| 4-year college | 75 (49.3) |
| Master’s degree | 29 (19.1) |
|
| |
| ≤20 | 56 (36.8) |
| 21–50 | 37 (24.5) |
| 50–100 | 36 (23.8) |
| ≥101 | 23 (15.2) |
| Have you ever experienced verbal assaults during work? (Yes) | 113 (74.3) |
| Have you ever experienced physical assaults during work? (Yes) | 75 (49.3) |
| Have your colleagues ever experienced verbal assaults during work? (Yes) | 123 (80.9) |
| Have your colleagues ever experienced physical assaults during work? (Yes) | 123 (80.9) |
| Is verbal assault a serious problem in your work environment? (Yes) | 92 (60.5) |
| Is physical assault a serious problem in your work environment? (Yes) | 72 (47.4) |
|
| |
| My department has relevant regulations, and I understand the relevant content | 12 (7.9) |
| My department has relevant regulations, but I am unsure about the relevant content | 15 (9.9) |
| My department does not have such regulations | 78 (51.7) |
| I am unsure whether my department has such regulations | 46 (30.5) |
Frequency of workplace violence.
| Verbal Assaults | Physical Assaults | ||
|---|---|---|---|
|
| <0.001 | ||
| ≤10 | 76 (67.3) | 71 (94.7) | |
| 11–20 | 12 (10.6) | 2 (2.7) | |
| 21–50 | 7 (6.2) | 1 (1.3) | |
| ≥51 | 18 (15.9) | 1 (1.3) | |
|
| 0.027 | ||
| ≤10 | 100 (88.5) | 74 (98.7) | |
| 11–20 | 7 (6.2) | 0 | |
| 21–50 | 3 (2.7) | 1 (1.3) | |
| ≥51 | 3 (2.7) | 0 | |
|
| 0.836 | ||
| ≤10 | 112 (99.1) | 75 (100) | |
| 11–20 | 1 (0.9) | 0 | |
| 21–50 | 0 | 0 | |
| ≥51 | 0 | 0 | |
|
| <0.001 | ||
| Every week | 13 (11.5) | 6 (8.0) | |
| Every month | 24 (21.2) | 5 (6.7) | |
| Every 3 months | 21 (18.6) | 5 (6.7) | |
| Every year | 44 (38.9) | 59 (78.7) |
Patterns of workplace violence.
| Verbal Assaults | Physical Assaults | ||
|---|---|---|---|
|
| |||
| Male | 112 (99.1) | 71 (94.7) | 0.083 |
| Female | 49 (43.4) | 29 (38.7) | 0.522 |
|
| |||
| Day shift (08:00–16:00) | 23 (20.4) | 10 (13.3) | 0.127 |
| Evening shift (16:00–24:00) | 54 (47.8) | 36 (48.0) | 0.977 |
| Night shift (00:00–08:00) | 31 (27.4) | 25 (33.3) | 0.386 |
|
| |||
| At the scene | 99 (87.6) | 66 (88.0) | 0.936 |
| During transportation to the hospital | 53 (46.9) | 32 (42.7) | 0.567 |
| At the hospital | 19 (16.8) | 15 (20.0) | 0.578 |
| At the fire station | 37 (32.7) | 5 (6.7) | <0.001 |
|
| |||
| Patients | 90 (79.6) | 67 (89.3) | 0.079 |
| Patients’ families | 93 (82.3) | 42 (56.0) | <0.001 |
| Patients’ friends | 80 (70.8) | 38 (50.7) | 0.005 |
| Bystanders | 58 (51.3) | 19 (25.3) | <0.001 |
| Fire bureau colleagues | 26 (23.0) | 6 (8.0) | 0.007 |
| Other governmental officers (such as policepersons or traffic light regulators) | 24 (21.2) | 3 (4.0) | 0.001 |
| Physicians | 10 (8.8) | 0 | 0.007 |
| Nurses | 13 (11.5) | 0 | 0.002 |
| Hospital administrators | 16 (14.2) | 1 (1.3) | 0.003 |
|
| |||
| Traumatic patients with clear consciousness | 48 (42.5) | 26 (34.7) | 0.283 |
| Traumatic patients with unclear consciousness that was mainly due to trauma | 21 (18.6) | 21 (28.0) | 0.129 |
| Traumatic patients with unclear consciousness that was mainly due to alcohol intoxication or drug abuse | 79 (69.9) | 50 (66.7) | 0.638 |
| Nontraumatic patients with clear consciousness | 44 (38.9) | 27 (36.0) | 0.684 |
| Nontraumatic patients with unclear consciousness that was mainly due to illness | 30 (26.5) | 19 (25.3) | 0.852 |
| Nontraumatic patients with unclear consciousness that was mainly due to alcohol intoxication or drug abuse | 81 (71.7) | 47 (62.7) | 0.194 |
| Pregnant patients | 4 (3.5) | 1 (1.3) | 0.357 |
| Pediatric patients | 4 (3.5) | 1 (1.3) | 0.357 |
Responses to workplace violence.
| Verbal Assaults | Physical Assaults | ||
|---|---|---|---|
|
| |||
| No response at all | 31 (27.4) | 10 (13.3) | 0.022 |
| Pretend nothing happened | 15 (13.3) | 4 (5.3) | 0.077 |
| Comfort the perpetrators | 62 (54.9) | 33 (44.0) | 0.144 |
| Take a deep breath and manage the patients first | 77 (68.1) | 44 (58.7) | 0.184 |
| Fight back immediately | 22 (19.5) | 20 (26.7) | 0.245 |
| Discuss with colleagues | 18 (15.9) | 15 (20.0) | 0.472 |
|
| |||
| Complete a paper report at the fire bureau | 0 | 3 (4.0) | 0.062 |
| Apply for a job transition | 1 (0.9) | 1 (1.3) | 0.379 |
| Seek psychiatric consultation | 0 | 1 (1.3) | 0.086 |
| Verbally report to superiors at the fire bureau | 10 (8.8) | 17 (22.7) | 0.008 |
|
| |||
| Report to news media, such as television | 0 | 3 (4.0) | 0.062 |
| Report to social media, such as Facebook | 6 (5.3) | 2 (2.7) | 0.379 |
|
| |||
| Report to the police | 27 (23.9) | 33 (44.0) | 0.004 |
| File for a lawsuit | 4 (3.5) | 11 (14.7) | 0.006 |
| Request an apology from the perpetrator | 5 (4.4) | 9 (12.0) | 0.052 |
| Request financial compensation | 1 (0.9) | 8 (10.7) | 0.002 |
|
| |||
| Personal mood | 95 (84.1) | 68 (90.7) | 0.192 |
| Professional performance | 49 (43.4) | 38 (50.7) | 0.353 |
| Interpersonal relationship | 11 (9.7) | 9 (12.0) | 0.621 |
| Family relationship | 9 (8.0) | 8 (10.7) | 0.527 |
| No impact | 13 (11.5) | 7 (9.3) | 0.636 |
Regression analysis of risks for frequent (at least once every 3 months) verbal or physical violence.
| Frequent Verbal Violence (N = 58) | Frequent Physical Violence (N = 16) | |||
|---|---|---|---|---|
| ODs (95% CIs) | aODs (95% CIs) | ODs (95% CIs) | aODs (95% CIs) | |
|
| ||||
| Female | Ref. | Ref. | Ref. | Ref. |
| Male | 0.60 (0.12–3.10) | 0.60 (0.10–3.58) | 0.57 (0.06–5.23) | 0.76 (0.06–9.34) |
|
| ||||
| 20–34 | Ref. | Ref. | Ref. | Ref. |
| 35–44 | 0.65 (0.31–1.37) | 0.71 (0.27–1.81) | 0.54 (0.17–1.66) | 0.72 (0.17–2.98) |
| 45–55 | 0.76 (0.21–2.70) | 1.38 (0.30–6.41) | 1.09 (0.19–6.20) | 3.55 (0.36–34.61) |
|
| ||||
| ≤10 | Ref. | Ref. | Ref. | Ref. |
| 11–15 | 1.07 (0.42–2.72) | 1.30 (0.46–3.69) | 1.25 (0.30–5.16) | 1.29 (0.26–6.44) |
| ≥16 | 0.64 (0.25–1.61) | 0.77 (0.24–2.46) | 0.60 (0.13–2.71) | 0.61 (0.09–4.11) |
|
| ||||
| 2-year college | Ref. | Ref. | Ref. | Ref. |
| 4-year college | 0.90 (0.42–1.92) | 1.21 (0.52–2.83) | 0.40 (0.11–1.50) | 0.49 (0.11–2.08) |
| Master’s degree | 1.46 (0.58–3.68) | 2.32 (0.78–6.90) | 1.75 (0.51–6.03) | 2.77 (0.58–13.30) |
|
| ||||
| ≤20 | Ref. | Ref. | Ref. | Ref. |
| 21–50 | 1.29 (0.54–3.07) | 1.13 (0.44–2.86) | 1.59 (0.43–5.94) | 1.26 (0.28–5.59) |
| 51–100 | 1.51 (0.63–3.59) | 2.04 (0.77–5.35) | 1.27 (0.32–5.10) | 1.95 (0.39–9.70) |
| ≥101 | 1.94 (0.72–5.22) | 2.58 (0.89–7.51) | 0.97 (0.17–5.41) | 1.35 (0.21–8.64) |
Abbreviations: ODs, odds ratios; aODs, adjusted odds ratios.
Bivariate analysis of reporting to the superiors when emergency medical technicians encounter verbal (N = 113) or physical (N = 75) violence at work.
| Reporting Verbal Violence (N = 10) | Reporting Physical Violence (N = 17) | |
|---|---|---|
| ODs (95% CIs) | ODs (95% CIs) | |
|
| ||
| 20–34 | Ref. | Ref. |
| 35–44 | 0.74 (0.17–3.32) | 0.85 (0.22–3.31) |
| 45–55 | 2.15 (0.31–14.94) | 4.25 (0.61–29.45) |
|
| ||
| ≤10 | Ref. | Ref. |
| 11–15 | 1.50 (0.15–15.46) | 0.27 (0.05–1.50) |
| ≥16 | 2.20 (0.25–19.59) | 0.56 (0.13–2.42) |
|
| ||
| 2-year college | Ref. | Ref. |
| 4-year college | 2.24 (0.44–11.47) | 0.70 (0.17–2.88) |
| Master’s degree | 0.76 (0.06–8.94) | 1.27 (0.26–6.27) |
|
| ||
| ≤20 | Ref. | Ref. |
| 21–50 | 0.36 (0.04–3.42) | 1.38 (0.31–6.26) |
| 51–100 | 0.78 (0.13–4.62) | 0.58 (0.10–3.48) |
| ≥101 | 1.50 (0.30–7.43) | 1.04 (0.21–5.20) |
Note: Gender was not included in the analysis due to limited numbers. Abbreviations: ODs, odds ratios.
Strategies to prevent workplace violence in emergency medical services systems.
| Verbal Assaults | Physical Assaults | ||
|---|---|---|---|
|
| |||
| Educational lectures | 82 (53.9) | 103 (67.8) | 0.014 |
| Simulation training | 88 (57.9) | 104 (68.4) | 0.057 |
| Emotion management consultation | 99 (65.1) | 108 (71.1) | 0.268 |
| Antiviolence law enforcement | 114 (75.0) | 108 (71.1) | 0.438 |
|
| |||
| Chemical or physical restraints | 89 (58.6) | 106 (69.7) | 0.042 |
| Video-recording devices | 127 (83.6) | 128 (84.2) | 0.876 |
| Self-defense skills | 89 (58.6) | 104 (68.4) | 0.074 |
| Helmets or bullet-proof vests | 87 (52.7) | 99 (65.1) | 0.157 |
|
| |||
| Post-event report system | 116 (76.3) | 124 (81.6) | 0.260 |
| Mutual aid with policepersons | 123 (80.9) | 127 (83.6) | 0.548 |
| Registry of patients with history of violence assaults | 119 (78.3) | 122 (80.3) | 0.671 |
| Registry of substance abuser | 116 (76.3) | 122 (80.3) | 0.404 |
|
| |||
| Policy of emergency medical services agency | 128 (84.2) | 125 (82.2) | 0.645 |
| Public awareness of workplace violence | 115 (75.7) | 102 (67.1) | 0.990 |
| Standard protocols toward workplace violence | 123 (80.9) | 122 (80.3) | 0.884 |
| Advocating on internet social media | 124 (81.6) | 122 (80.3) | 0.770 |
|
| |||
| Maintenance of safe distance | 135 (88.8) | 133 (87.5) | 0.722 |
| Improvement of situation sensitivity | 135 (88.8) | 134 (88.2) | 0.857 |
| Early application of protection strategy | 121 (79.6) | 125 (82.2) | 0.559 |
| Removal of dangerous materials | 128 (84.2) | 129 (84.9) | 0.873 |
|
| |||
| Instant reporting and alarming system | 119 (78.3) | 126 (82.9) | 0.310 |
| Real-time video surveillance | 133 (87.5) | 132 (86.8) | 0.863 |
| Sufficient protection equipment | 122 (80.3) | 121 (79.6) | 0.886 |
| Working with police escorts | 133 (87.5) | 129 (84.9) | 0.506 |