| Literature DB >> 36205671 |
Denise McCormack1,2, Sushi Subburamu2,3, Glenda Guzman2, Carmen Calderon4, Ruchika Darapaneni5, Robert Lis5, Niloofar Sima5, Jeremy Sperling1,2, Jill Corbo1,2.
Abstract
INTRODUCTION: The emergency department (ED) is at the forefront for treatment of sexual assault patients. Many require treatment for injuries sustained during the assault, ranging from mild to severe. Our objective in this study was to characterize types of injuries associated with sexual assault and identify associated factors.Entities:
Mesh:
Year: 2022 PMID: 36205671 PMCID: PMC9541987 DOI: 10.5811/westjem.2022.1.53994
Source DB: PubMed Journal: West J Emerg Med ISSN: 1936-900X
Sexual assault patient characteristics.
| Patient characteristics | Total N = 157 |
|---|---|
| Age | |
| 27.9 years ± 11.5 | |
| 13–18 years adolescent | 35, 22.3% |
| ≥19 years adult | 122, 77.7% |
| Adult | |
| 19–34 years | 82, 67.2% |
| 35–64 years | 38, 31.1% |
| ≥ 65 years | 2, 1.7% |
| Gender | |
| Female | 145, 92.4% |
| Male | 12, 7.6% |
| Race | |
| Hispanic | 75, 47.7% |
| Black | 51, 32.5% |
| White | 22, 14% |
| Asian | 7, 4.5% |
| Other | 2, 1.3% |
| Perpetrator | |
| Acquaintance | 96, 61.2% |
| Stranger | 36, 22.9% |
| Intimate partner | 25, 15.9% |
| DFSA | |
| Yes | 22, 14.0% |
| No | 135, 86.0% |
| Alcohol-related | |
| Yes | 39, 24.8% |
| No | 118, 75.2% |
| Illicit drug | |
| Yes | 6, 3.8% |
| No | 151, 96.2% |
| Mode of arrival | |
| EMS | 89, 56.7% |
| Walk-in | 68, 43.3% |
| SAFE Facility | |
| Level I trauma center | 109, 69.4% |
| Community hospital | 48, 30.6% |
| Forensic rape kit | |
| Yes | 92, 58.6% |
| No | 65, 41.4% |
| Traumatic Injury | |
| Yes | 57, 36.3% |
| Major | 12, 21.1% |
| Minor | 45, 78.9% |
| No | 100, 63.7% |
| Non-fatal strangulation | |
| Yes | 10, 6.4% |
| No | 147, 93.6% |
DFSA, drug-facilitated sexual assault; EMS, emergency medical services
SAFE, Sexual Assault Forensic Examiner.
Comparison of sexual assault patients who suffered trauma.
| Patient characteristics | All | Trauma | No trauma | X2 |
|---|---|---|---|---|
| Age | ||||
| Adolescent | 35 | 6, 17.1% | 29, 82.9% | *P<0.05 |
| Adult | 122 | 51, 41.8% | 71, 58.2% | |
| Adult | ||||
| 19–34 years | 82 | 31, 37.8% | 51, 62.2% | 0.15 |
| 35–64 years | 38 | 18, 47.4% | 20, 52.6% | |
| ≥ 65 years | 2 | 2, 100% | 0, 0% | |
| Gender | ||||
| Female | 145 | 54, 37.2% | 91, 62.8% | 0.69 |
| Male | 12 | 3, 25% | 9, 75% | |
| Race | ||||
| Hispanic | 75 | 29, 38.7% | 46, 61.3% | 0.75 |
| Black | 51 | 17, 33.3% | 34, 66.7% | |
| White | 22 | 9, 40.9% | 13, 59.1% | |
| Asian | 7 | 2, 28.6% | 5, 71.4% | |
| Other | 2 | 0, 0% | 2, 100% | |
| Perpetrator | ||||
| Acquaintance | 96 | 24, 25% | 72, 75% | *P<0.05 |
| Stranger | 36 | 18, 50% | 18, 50% | |
| Intimate partner | 25 | 15, 60% | 10, 40% | |
| DFSA | ||||
| Yes | 22 | 7, 31.8% | 15, 68.2% | 0.64 |
| No | 135 | 50, 37.1% | 85, 62.9% | |
| Alcohol-related | ||||
| Yes | 39 | 14, 35.9% | 25, 64.1% | 0.95 |
| No | 118 | 43, 36.4% | 75, 63.6% | |
| Illicit drug | ||||
| Yes | 6 | 2, 33.3% | 4, 66.7% | 0.88 |
| No | 151 | 55, 36.4% | 96, 63.6% | |
| SAFE facility | ||||
| Level I trauma center | 109 | 38, 34.9% | 71, 65.1% | 0.57 |
| Community hospital | 48 | 19, 39.6% | 29, 60.4% | |
| Forensic rape kit | ||||
| Yes | 92 | 37, 40.2% | 55, 59.8% | 0.23 |
| No | 65 | 20, 30.8% | 45, 69.2% | |
DFSA, drug-facilitated sexual assault; SAFE, Sexual Assault Forensic Examiner.
Associations of sexual assault with traumatic injury.
| Predictor | Odds Ratio; 95% CI |
|---|---|
| Adult patient > 18 years old | 3.0; CI: 1.1 – 7.7 |
| Intimate partner violence | 2.6; CI: 1.1 – 6.5 |