| Literature DB >> 30496220 |
Wendy Nieto-Gutierrez1, Carlos J Toro-Huamanchumo2,3, Alvaro Taype-Rondan2, Raúl Timaná-Ruiz4, Carlos Alva Diaz5,6,7, David Jumpa-Armas5,8, Seimer Escobedo-Palza6,9.
Abstract
OBJECTIVE: To determine the prevalence of workplace violence among Peruvian medical residents and to evaluate the association between medical specialty and workplace violence per type of aggressor.Entities:
Mesh:
Year: 2018 PMID: 30496220 PMCID: PMC6264828 DOI: 10.1371/journal.pone.0207769
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Characteristics of Peruvian residents and residents included in the study.
| Variable | Total of residents in Peru | Residents included in the analysis | Residents included in the analysis | Chi2 p |
|---|---|---|---|---|
| <0.001 | ||||
| Public university of Lima | 2,628 | -307 | 11.7% | |
| Private university of Lima | 2,551 | 370 | 14.5% | |
| Public university not Lima | 1,546 | 233 | 15.1% | |
| Private university not Lima | 668 | 144 | 21.6% | |
| 0.032 | ||||
| MINSA | 4,573 | 696 | 15.2% | |
| EsSalud | 2,208 | 281 | 12.7% | |
| Others | 612 | 77 | 12.6% | |
| 0.015 | ||||
| Clinical | 3,704 | 521 | 14.1% | |
| Surgical | 2,786 | 372 | 13.4% | |
| Other | 903 | 161 | 17.8% | |
| <0.001 | ||||
| First year | 2,713 | 432 | 15.9% | |
| Second year | 2,642 | 287 | 10.9% | |
| Third year or higher | 2,038 | 335 | 16.4% |
Characteristics of the population according to having suffered workplace violence (n = 1054).
| Variables | Total | No workplace violence | Workplace violence | Chi2 p |
|---|---|---|---|---|
| 0.231 | ||||
| Male | 608 (57.7) | 170 (28.0) | 438 (72.0) | |
| Female | 446 (42.3) | 110 (24.7) | 336 (75.3) | |
| 0.356 | ||||
| 20–29 years | 364 (34.5) | 106 (29.1) | 258 (70.9) | |
| 30–34 years | 391 (37.1) | 96 (24.6) | 295 (75.4) | |
| 35–54 years | 299 (28.4) | 78 (26.1) | 221 (73.9) | |
| 0.739 | ||||
| No | 616 (58.4) | 166 (26.9) | 450 (73.1) | |
| Yes | 438 (41.6) | 114 (26.0) | 324 (74.0) | |
| 0.014 | ||||
| First year | 432 (41.0) | 135 (31.3) | 297 (68.8) | |
| Second year | 287 (27.2) | 64 (22.3) | 223 (77.7) | |
| Third year or higher | 335 (31.8) | 81 (24.2) | 254 (75.8) | |
| 0.219 | ||||
| Public university of Lima | 307 (29.1) | 76 (24.8) | 231 (75.2) | |
| Private university of Lima | 370 (35.1) | 99 (26.8) | 271 (73.2) | |
| Public university not Lima | 233 (22.1) | 57 (24.5) | 176 (75.5) | |
| Private university not Lima | 144 (13.7) | 48 (33.3) | 96 (66.7) | |
| 0.116 | ||||
| MINSA | 696 (66.0) | 191 (27.4) | 505 (72.6) | |
| EsSalud | 281 (26.7) | 66 (23.5) | 215 (76.5) | |
| Armed forces/pólice | 55 (5.2) | 13 (23.6) | 42 (76.4) | |
| Private | 22 (2.1) | 10 (45.5) | 12 (54.5) | |
| <0.001 | ||||
| Clinical | 521 (49.4) | 120 (23.0) | 401 (77.0) | |
| Surgical | 372 (35.3) | 89 (23.9) | 283 (76.1) | |
| Other | 161 (15.3) | 71 (44.1) | 90 (55.9) | |
| 0.055 | ||||
| < 10 hours | 423 (42.6) | 124 (29.3) | 299 (70.7) | |
| 10–12 hours | 485 (48.8) | 122 (25.2) | 363 (74.8) | |
| > 12 hours | 86 (8. 6) | 15 (17.4) | 71 (82.6) |
Physical and verbal violence according to aggressor (n = 1054).
| Type of violence and perpetrators | Physical violence | Verbal violence | Total N (%) |
|---|---|---|---|
| Patients/Relatives | 94 (8.9) | 343 (32.5) | 363 (34.4) |
| Attending physician | 58 (5.5) | 472 (44.8) | 479 (45.5) |
| Senior resident | 27 (2.6) | 262 (24.9) | 263 (25.0) |
| Younger or same-year resident | 7 (0.7) | 61 (5.8) | 62 (5.9) |
| Non-medical health professional (Medical interns, nurses, technologists etc.) | 16 (1.5) | 120 (11.4) | 128 (12.1) |
| Other institution staff (Administrative, security, etc.) | 19 (1.8) | 122 (11.6) | 128 (12.1) |
Medical specialties associated with workplace violence according to type of aggressor (n = 1054).
| Variables | Violence from patients/relatives | Worker-to-worker violence | Violence from any aggressor |
|---|---|---|---|
| Clinics (n = 521) | Ref | Ref | Ref |
| Surgical (n = 372) | 0.99 (0.92–1.07) | ||
| Others (n = 161) | |||
| Paediatrics (n = 102) | Ref | Ref | Ref |
| Internal medicine (n = 60) | 1.20 (0.84–1.72) | 1.08 (0.83–1.42) | 1.13 (0.95–1.35) |
| Family Medicine (n = 85) | 0.95 (0.65–1.39) | 1.21 (0.95–1.54) | 1.01 (0.84–1.22) |
| Other clinical specialties (n = 274) | 1.03 (0.78–1.36) | 1.09 (0.88–1.34) | 1.09 (0.94–1.25) |
| General surgery (n = 72) | 1.00 (0.68–1.48) | 1.11 (0.85–1.43) | 1.05 (0.86–1.27) |
| Gynecology (n = 68) | 1.03 (0.71–1.48) | ||
| Other surgical specialties (n = 232) | 1.03 (0.89–1.20) | ||
| Others (n = 161) | 0.83 (0.64–1.07) |
*These regressions were adjusted by sex, age, university responsible of the residency, city where the residency is undertaken, migration, year of residency, health system of the institution and hours worked per day.
Bold numbers indicate p < 0.05
Fig 1Prevalence of workplace violence according to specialty.
Specialty group.