| Literature DB >> 33113404 |
Katja Maria Kero1, Anne Helena Puuronen2, Leo Nyqvist2, Ville Lauri Langén3.
Abstract
OBJECTIVE: Domestic violence is a hidden epidemic. We used a two-question screening tool to explore the prevalence of domestic violence among gynaecological outpatients. We also retrospectively assessed whether there was a change in the prevalence rate of self-reported violence after the launch of the #MeToo movement. STUDYEntities:
Keywords: #MeToo; Domestic violence; Physical violence; Screening; Sexual abuse; Social media
Mesh:
Year: 2020 PMID: 33113404 PMCID: PMC7566797 DOI: 10.1016/j.ejogrb.2020.10.024
Source DB: PubMed Journal: Eur J Obstet Gynecol Reprod Biol ISSN: 0301-2115 Impact factor: 2.435
The two-question screening questionnaire for domestic violence.
| Question 1. Have you been a victim of physical, psychological, and/or sexual abuse, or have you yourself been violent in your domestic or family relationships? (no/yes) |
| If you answered “yes” to the previous question: |
Characteristics of gynaecological outpatients (n = 154) who reported having suffered from domestic violence.
| Characteristic | ||
|---|---|---|
| Age (years) | 39.7 ± 16.0 | |
| Number of pregnancies | 1.9 ± 2.0 | |
| Number of labours | 1.4 ± 1.6 | |
| Ongoing impact of violence | ||
| No | 62 (40.3 %) | |
| Yes | 87 (56.5 %) | |
| Missing data | 5 (3.2 %) | |
| Outpatient visit after October 2017 | ||
| No | 55 (35.7 %) | |
| Yes | 99 (64.3 %) | |
| Missing data | 0 (0.0 %) | |
| Abdominal pain | ||
| No | 90 (58.4 %) | |
| Yes | 63 (40.9 %) | |
| Missing data | 1 (0.6 %) | |
| Patient wanted to be contacted | ||
| No | 68 (44.4 %) | |
| Yes | 64 (41.8 %) | |
| Missing data | 21 (13.7 %) | |
| Already treated for domestic violence | ||
| No | 71 (46.1 %) | |
| Yes | 79 (51.3 %) | |
| Missing data | 4 (2.6 %) | |
| History of drug abuse | ||
| No | 127 (82.5 %) | |
| Yes | 14 (9.1 %) | |
| Missing data | 13 (8.4 %) | |
| Immigrant | ||
| No | 141 (91.6 %) | |
| Yes | 7 (4.5 %) | |
| Missing data | 6 (3.9 %) | |
Values are means ± standard deviations for continuous data and numbers and percentages for categorical data. Data on number of labours were missing for one patient.
The #MeToo movement started on Twitter on October 15, 2017.
Characteristics of outpatients (n = 87) suffering ongoing impact of domestic violence.
| Characteristic | ||
|---|---|---|
| Age (years) | 39 ± 16.2 | |
| Number of pregnancies | 1.9 ± 2.0 | |
| Number of labours | 1.4 ± 1.5 | |
| Outpatient visit after October 2017 | ||
| No | 30 (34.5 %) | |
| Yes | 57 (65.5 %) | |
| Missing data | 0 (0.0 %) | |
| Abdominal pain | ||
| No | 45 (51.7 %) | |
| Yes | 42 (48.3 %) | |
| Missing data | 0 (0.0 %) | |
| Patient wanted to be contacted | ||
| No | 29 (33.3 %) | |
| Yes | 46 (52.9 %) | |
| Missing data | 12 (13.8 %) | |
| Already treated for domestic violence | ||
| No | 20 (23.0 %) | |
| Yes | 63 (72.4 %) | |
| Missing data | 4 (4.6 %) | |
| History of drug abuse | ||
| No | 74 (85.1 %) | |
| Yes | 8 (9.2 %) | |
| Missing data | 5 (5.7 %) | |
| Perpetrator with history of drug abuse | ||
| No | 10 (11.5 %) | |
| Yes | 19 (21.8 %) | |
| Missing data | 58 (66.7 %) | |
| Immigrant | ||
| No | 81 (93.1 %) | |
| Yes | 4 (4.6 %) | |
| Missing data | 2 (2.3 %) | |
| Perpetrator immigrant | ||
| No | 46 (52.9 %) | |
| Yes | 2 (2.3 %) | |
| Missing data | 39 (44.8 %) | |
| Sexual violence | ||
| No | 24 (27.6 %) | |
| Yes | 25 (28.7 %) | |
| Missing data | 38 (43.7 %) | |
| Physical non-sexual violence | ||
| No | 5 (5.7 %) | |
| Yes | 48 (55.2 %) | |
| Missing data | 34 (39.1 %) | |
| Mental violence | ||
| No | 3 (3.4 %) | |
| Yes | 50 (57.5 %) | |
| Missing data | 34 (39.1 %) | |
| Harassment after break-up | ||
| No | 34 (39.1 %) | |
| Yes | 5 (5.7 %) | |
| Missing data | 48 (55.2 %) | |
| Long-standing and recurrent violence | ||
| No | 2 (2.3 %) | |
| Yes | 48 (55.2 %) | |
| Missing data | 37 (42.5 %) | |
Values are means ± standard deviations for continuous data and numbers and percentages for categorical data.
The #MeToo movement started on Twitter on October 15, 2017.
Ten most frequent diagnoses of gynaecological outpatients (n = 154) who reported having suffered from domestic violence.
| Rank | ICD-10 code | ICD-10 text | n | % |
|---|---|---|---|---|
| 1 | R87.6 | Abnormal cytological findings in specimens from female genital organs | 24 | 15.6 |
| 2 | R10.3 | Pain localised to other parts of lower abdomen | 16 | 10.4 |
| 3 | O04.9 | Medical abortion: complete or unspecified, without complications | 13 | 8.4 |
| 4 | R10.4 | Other and unspecified abdominal pain | 8 | 5.2 |
| 5 | N92.0 | Excessive and frequent menstruation with regular cycles | 7 | 4.5 |
| 6 | N94.1 | Dyspareunia | 7 | 4.5 |
| 7 | D25.9 | Leiomyoma of uterus, unspecified | 4 | 2.6 |
| 8 | N81.6 | Rectocele | 4 | 2.6 |
| 9 | N92.1 | Excessive and frequent menstruation with irregular cycles | 4 | 2.6 |
| 10 | R32 | Unspecified urinary incontinence | 4 | 2.6 |
Fig. 1Breakdown of perpetrators of domestic violence victims.
The victims included in this analysis were gynaecological outpatients who reported that they were suffering the ongoing impact of violence in their everyday lives.
Fig. 2Prevalence of self-reported domestic violence by visit month among gynaecological outpatients. Screening for domestic violence was conducted using a questionnaire. Absolute numbers of screen-positive and screen-negative patients are shown below the graph. No., number; pts, patients; screen+, screen-positive; screen-, screen-negative.
Fig. 3Effect of #MeToo on prevalence of reported (A) domestic violence and (B) ongoing impact of domestic violence among gynaecological outpatients.