Workplace Violence in the Emergency Department: Case Study on Staff and Law Enforcement Disagreement on Reportable Crimes
Abstract
:1. Introduction
2. Materials and Methods
2.1. Study Design and Setting
2.2. Selection of Participants
2.3. Measurements
2.4. Outcomes
2.5. Data Analysis
3. Results
3.1. Characteristics of Study Subjects
3.2. Perceptions of a Reportable Crime
4. Discussion
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Conflicts of Interest
Meeting
Abbreviations
ECG | Electrocardiogram |
ED | Emergency Department |
LEO | Law Enforcement Officer |
PCA | Patient Care Assistant(s) |
References
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Scenario 1: An 85-year-old man with known dementia is transferred to the ED from his nursing home for back pain and is not oriented toward the year or his present location. He becomes agitated and punches a nurse attempting to obtain his vitals. |
Scenario 2: A 25-year old man is brought into the ED by EMS with the complaint of broken teeth after getting into an altercation, and he appears to be intoxicated. He spits blood-tinged saliva into the face of the phlebotomist performing venipuncture. |
Scenario 3: A 70-year-old female comes into the ED for abdominal pain. After a lengthy workup and prolonged stay, she begins showing signs of delirium and makes threats to find her doctor’s house upon discharge and harm him. |
Scenario 4: A 1-year old is brought into the ED by his parents for a fever, rash, and upper respiratory symptoms. Upon hearing that a viral infection is the likely culprit and no further diagnostic studies will be ordered or antibiotics prescribed, the mother becomes increasingly angry and eventually throws a chair in the room, narrowly missing the medical student. |
ED Cohort (n = 261) n (%) | LEO Cohort (n = 77) n (%) | |
---|---|---|
Gender | ||
Male | 104 (39.8%) | 62 (80.5%) |
Female | 154 (59.0%) | 8 (10.4%) |
Prefer not to answer | 3 (1.1%) | 7 (9.1%) |
Primary Role | ||
ED Staff | ||
Clinician | 51 (19.5%) | |
Attending physician | 28 (10.7%) | |
Resident physician | 18 (6.9%) | |
Advanced practice provider | 5 (1.9%) | |
Nursing Staff | 99 (37.9%) | |
Registered nurse | 88 (33.7%) | |
Patient care assistant | 11 (4.2%) | |
Phlebotomist | 29 (11.1%) | |
ECG/Radiology technician | 24 (9.2%) | |
Unit Secretary | 12 (4.6%) | |
Registration/Finance | 4 (1.5%) | |
Security | 42 (16.1%) | |
Management | 0 (0%) | |
LEO | 77 (100%) | |
Primary Shift | ||
Day | 68 (26.1%) | |
Evening | 45 (17.2%) | |
Night | 53 (20.3%) | Not asked |
Rotating | 95 (36.4%) | |
Years of Experience | ||
0–4 Years | 86 (33.0%) | 7 (9.1%) |
5–10 Years | 57 (21.8%) | 15 (19.5%) |
11–20 Years | 74 (28.4%) | 26 (33.8%) |
21+ Years | 44 (16.9%) | 29 (37.7%) |
ED Staff (n = 261) n (%) | LEO (n = 77) n (%) | p-Value | |
---|---|---|---|
Scenario 1 | 82 (31.4%) | 20 (26.0%) | 0.439 |
Scenario 2 | 248 (95.0%) | 75 (97.4)% | 0.564 |
Scenario 3 | 112 (42.9%) | 16 (20.8%) | <0.001 |
Scenario 4 | 212 (81.2%) | 51 (66.2%) | 0.009 |
All Participants | |||||
---|---|---|---|---|---|
0–4 Years (n= 93) | 5–10 Years (n= 72) | 11–20 Years (n= 100) | 21+ Years (n= 73) | p-Value | |
Scenario 1 | 35 (37.6%) | 23 (31.9%) | 21 (21.0%) | 23 (31.5%) | 0.085 |
Scenario 2 | 89 (95.7%) | 67 (93.1%) | 97 (97.0%) | 70 (95.9%) | 0.665 |
Scenario 3 | 48 (51.6%) | 25 (34.7%) | 30 (30.0%) | 25 (34.2%) | 0.013 |
Scenario 4 | 72 (77.4%) | 56 (77.8%) | 76 (76.0%) | 59 (80.8%) | 0.901 |
ED Staff Only | |||||
0–4 Years (n= 86) | 5–10 Years (n= 57) | 11–20 Years (n= 74) | 21+ Years (n= 44) | p-Value | |
Scenario 1 | 31 (36.0%) | 19 (33.3%) | 19 (25.7%) | 13 (29.5%) | 0.541 |
Scenario 2 | 82 (95.3%) | 53 (93.0%) | 71 (95.9%) | 42 (95.5%) | 0.880 |
Scenario 3 | 45 (52.3%) | 22 (38.6%) | 29 (39.2%) | 16 (36.4%) | 0.192 |
Scenario 4 | 67 (77.9%) | 48 (84.2%) | 58 (78.4%) | 39 (88.6%) | 0.402 |
Law Enforcement Officers Only | |||||
0–4 Years (n= 7) | 5–10 Years (n= 15) | 11–20 Years (n= 26) | 21+ Years (n= 29) | p-Value | |
Scenario 1 | 4 (57.1%) | 4 (26.7%) | 2 (7.7%) | 10 (34.5%) | 0.027 |
Scenario 2 | 7 (100%) | 14 (93.3%) | 26 (100%) | 28 (96.6%) | 0.584 |
Scenario 3 | 3 (42.9%) | 3 (20.0%) | 1 (3.8%) | 9 (31.0%) | 0.037 |
Scenario 4 | 5 (71.4%) | 8 (53.3%) | 18 (69.2%) | 20 (69.0%) | 0.705 |
Scenario 1 | Scenario 2 | Scenario 3 | Scenario 4 | |
---|---|---|---|---|
Clinician | 8 (15.7%) | 47 (92.2%) | 19 (37.3%) | 39 (76.5%) |
Nursing Staff | 16 (16.2%) | 95 (96.0%) | 24 (24.2%) | 84 (84.8%) |
Phlebotomist | 12 (41.4%) | 28 (96.6%) | 18 (62.1%) | 28 (96.6%) |
ECG/Radiology Technician | 8 (33.3%) | 22 (91.7%) | 12 (50.0%) | 19 (79.2%) |
Unit Secretary | 8 (66.7%) | 12 (100.0%) | 7 (58.3%) | 9 (75.0%) |
Registration/Finance | 2 (50.0%) | 4 (100.0%) | 4 (100.0%) | 3 (75.0%) |
Security | 28 (66.7%) | 40 (95.2%) | 28 (66.7%) | 30 (71.4%) |
p-Value | <0.001 | 0.854 | <0.001 | 0.163 |
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McGuire, S.S.; Mullan, A.F.; Clements, C.M. Workplace Violence in the Emergency Department: Case Study on Staff and Law Enforcement Disagreement on Reportable Crimes. Int. J. Environ. Res. Public Health 2022, 19, 6818. https://doi.org/10.3390/ijerph19116818
McGuire SS, Mullan AF, Clements CM. Workplace Violence in the Emergency Department: Case Study on Staff and Law Enforcement Disagreement on Reportable Crimes. International Journal of Environmental Research and Public Health. 2022; 19(11):6818. https://doi.org/10.3390/ijerph19116818
Chicago/Turabian StyleMcGuire, Sarayna S., Aidan F. Mullan, and Casey M. Clements. 2022. "Workplace Violence in the Emergency Department: Case Study on Staff and Law Enforcement Disagreement on Reportable Crimes" International Journal of Environmental Research and Public Health 19, no. 11: 6818. https://doi.org/10.3390/ijerph19116818
APA StyleMcGuire, S. S., Mullan, A. F., & Clements, C. M. (2022). Workplace Violence in the Emergency Department: Case Study on Staff and Law Enforcement Disagreement on Reportable Crimes. International Journal of Environmental Research and Public Health, 19(11), 6818. https://doi.org/10.3390/ijerph19116818