| Literature DB >> 35587051 |
İmran Gökçen Yılmaz Karaman1, Zeynep Akı2, Mustafa Emin Çanakçı3, Ali Ercan Altınöz1, Engin Özakın3.
Abstract
OBJECTIVE: Violence against women (VAW) is a major public health problem and a violation of women's human rights. The coronavirus disease 2019 (COVID-19) pandemic has worsened gender inequality, resulting in a heightened incidence of VAW. This study aims to assess the characteristics of women who admit to the emergency department (ED), both before the pandemic and during the pandemic. The secondary aim is to compare the frequencies of violence cases between periods.Entities:
Keywords: COVID-19; emergency department; pandemic; violence against women
Mesh:
Year: 2022 PMID: 35587051 PMCID: PMC9203417 DOI: 10.1017/S1049023X22000826
Source DB: PubMed Journal: Prehosp Disaster Med ISSN: 1049-023X Impact factor: 2.866
Prevalence of ED Admissions by Sex and Prevalence of VAW Cases
| Variable | April 10 – December 31 | Statistics | |
|---|---|---|---|
| 2019 | 2020 | ||
| Emergency Service Admissions by Sex, n (%) | |||
| Women | 40148 (53.43%) | 19009 (48.38%) | P < .001 |
| Men | 34993 (46.57%) | 20279 (51.62%) | |
| Emergency Service Admissions of Women, n (%) | |||
| VAW Cases | 54 (0.1%) | 61 (0.3%) | P < .001 |
| Other Cases | 40094 (99.9%) | 18948 (99.7%) | |
Note: Pearson chi square test was used for statistical analysis.
Abbreviations: VAW, violence against women; ED, emergency department.
Figure 1.Emergency Service Admissions, Per Day, Pre-Pandemic and During Pandemic.
Sociodemographic and Clinical Characteristics of VAW Cases
| Variable | (April 10 – December 31) | Statistics | ||
|---|---|---|---|---|
| 2019 | 2020 | |||
| Age, Median [IQR] | 35 (27- 44) | 34 (27-40) | U = 1563.00; P = .638¹ | |
| Civil Status, n (%) | Single | 23 (42.6%) | 37 (60.7%) | χ² = 3.745; P = .053² |
| Married | 31 (57.4%) | 24 (39.3%) | ||
| Insurance, n (%) | Social Insurance | 54 (100.0%) | 54 (88.5%) | P = .0143 |
| Government Retirement Fund | 0 (0.0%) | 7 (11.5%) | ||
| Previous Psychiatric Diagnose, n (%) | Yes | 10 (18.5%) | 12 (19.7%) | χ² = 0.000; P = 1.0004 |
| No | 44 (81.5%) | 49 (80.3%) | ||
| Usage of Weapon, n (%) | None | 49 (90.7%) | 51 (83.6%) | χ² = 5.300; P = .258² |
| Blunt | 2 (3.7%) | 4 (6.6%) | ||
| Sharp | 0 (0.0%) | 4 (6.6%) | ||
| Blunt and Sharp | 2 (3.7%) | 2 (3.3%) | ||
| Firearm | 1 (1.9%) | 0 (0.0%) | ||
| Place of Violence, n (%) | Residence | 29 (53.7%) | 45 (73.8%) | χ² = 4,191; P = .0414 |
| Other | 25 (46.3%) | 16 (26.2%) | ||
| Perpetrator, n (%) | Intimate Partner | 23 (42.6%) | 33 (54.1%) | χ² = 1.935; P = .380² |
| Familiar Person | 17 (31.5%) | 13 (21.3%) | ||
| Stranger | 14 (25.9%) | 15 (24.6%) | ||
| Admission Type, n (%) | Out-Patient | 41 (75.9%) | 42 (68.9%) | χ² = 0.405; P = .5254 |
| Ambulance | 13 (24.1%) | 19 (31.1%) | ||
| Physical Examination Findings, n (%) | Yes | 43 (79.6%) | 49 (80.3%) | χ² = 0.000; P = 1.0004 |
| None | 11 (20.4%) | 12 (19.7%) | ||
| Effected Part of the Body, n (%) | Extremities | 21 (38.9%) | 28 (45.9%) | χ² = 0.325; P = .5694 |
| Trunk | 5 (9.3%) | 17 (27.9%) | χ² = 5.265; P = .0224 | |
| Head and Neck | 26 (48.1%) | 29 (47.5%) | χ² = 0.004; P = .948² | |
| Need for Complex Medical Intervention, n (%) | Yes | 43 (79.6%) | 46 (75.4%) | χ² = 0.100; P = .7524 |
| No | 11 (20.4%) | 15 (24.6%) | ||
| Life-Threatening Condition, n (%) | Yes | 0 (0.0%) | 5 (8.2%) | P = .039³ |
| No | 54 (100.0%) | 56 (91.8%) | ||
| Hospitalization Requirement, n (%) | Yes | 4 (7.4%) | 5 (8.2%) | P = .577³ |
| No | 50 (92.6%) | 56 (91.8%) | ||
| Imaging, n (%) | X-Ray | 13 (24.1%) | 26 (42.6%) | χ² = 3.609; P = .0574 |
| CT | 25 (46.3%) | 30 (49.2%) | χ² = 0.095; P = .757² | |
| USG | 3 (5.6%) | 1 (1.6%) | P = .340³ | |
| Time Spent in Emergency Service Minutes [IQR] | 150 (60- 240) | 126 (60- 225) | U = 1567.50; P = .654¹ | |
Note: 1 - Mann Whitney U test; 2 - Pearson chi square test; 3 - Fisher’s exact test; 4 - Yates chi square test.
Abbreviations: VAW, violence against women; CT, computed tomography; USG, ultrasound.