Geographies of Sexual Assault: A Spatial Analyses to Identify Neighborhoods Affected by Sexual and Gender-Based Violence

Impact of neighborhood disadvantage on posttrauma outcomes after sexual assault

In the United States, 8,000,000 people seek emergency care for traumatic injury annually. Motor vehicle collisions (MVCs) and sexual assault are two common sources of trauma, with evidence that reduced neighborhood-level socioeconomic characteristics increase posttraumatic pain and stress after an MVC. We evaluated whether neighborhood disadvantage was also associated with physical and mental posttrauma outcomes after sexual assault in a sample of adult women (N = 656) who presented for emergency care at facilities in the United States following sexual assault and were followed for 1 year. Neighborhood characteristics were assessed via the Area Deprivation Index, and self-reported pain, anxiety, depression, and posttraumatic stress disorder (PTSD) symptoms were collected at 6 weeks posttrauma. Adjusted log-binomial regression models examined the association between each clinical outcome and neighborhood disadvantage. Women in more disadvantaged neighborhoods were more likely to be non-White and have lower annual incomes. At 6 weeks posttrauma, the prevalence of clinically significant pain, anxiety, and depressive symptoms more than doubled from baseline (41.7% vs. 18.8%, 62.4% vs. 23.9%, and 55.2% vs. 22.7%, respectively); 40.7% of women also reported PTSD symptoms. Black, Hispanic, and lower-income participants were more likely to report pre- and postassault pain, anxiety, and depression. After adjusting for race, ethnicity, and income, no significant association existed between neighborhood disadvantage and any outcome, ps = .197 - .859. Although neighborhood disadvantage was not associated with posttrauma outcomes, these findings highlight the need for continued research in diverse populations at high risk of adverse physical and mental health symptoms following sexual assault.

Telemedicine and virtual healthcare for survivors of sexual assault and intimate partner violence: A qualitative study

BACKGROUND

Survivors of sexual assault and intimate partner violence often face many challenges in seeking/receiving healthcare and are often lost to follow up.

OBJECTIVES

Our study objectives are to evaluate the feasibility, acceptability, and satisfaction of using telemedicine technology among sexual assault and intimate partner violence patients who present to a Canadian Emergency Department.

DESIGN

Qualitative research was conducted using a thematic approach.

METHODS

Patients were identified from a case registry of all sexual assault and intimate partner violence cases seen between 1 April 2020 and 31 March 2022 from an emergency department of a large Canadian hospital. Qualitative trauma-informed interviews were conducted with consenting participants. Thematic qualitative analyses were performed to investigate barriers and drivers of telemedicine for follow-up care.

RESULTS

Of the 1007 sexual assault and intimate partner violence patients seen during the study timeframe, 180 (8%) consented to be contacted for future research, and 10 completed an interview regarding telemedicine for follow-up care. All participants were cisgendered women, 5 (50%) experienced sexual assault, 6 (60%) physical assault, and 3 (30%) verbal assault. All knew their assailant, and 6 (60%) were assaulted by a current or former intimate partner. Three themes emerged as drivers of telemedicine use: increased comfort, increased convenience, and less time required for the appointment. Three thematic barriers to telemedicine use included lack of privacy from others, lack of safety from their assailant, and pressure to balance competing tasks during the appointment.

CONCLUSION

This study illustrated that telemedicine for sexual assault and intimate partner violence follow-up care is feasible, acceptable, and can improve patient satisfaction with follow-up care. Ensuring safety and privacy are key considerations when offering telemedicine as an appropriate option for survivors.

Police decisions to found sexual assault cases: The influence of community-level factors and space

Previous research has examined the influence of individual- and case-level factors on police decisions in sexual assault cases, with little attention paid to community-level factors. This study examined the association between community-level factors and police decisions to found sexual assault cases. Founding is the first decision officers make and determines whether a case is investigated. An archival data set of N = 8015 sexual assaults reported to a Midwestern city police department was used. Ordinary least squares (OLS) regression was first used to examine the relationship between six community-level factors and founding rates within the city's 77 communities. Geographically weighted regression (GWR) was then used to examine whether these relationships varied by space. OLS results revealed communities with a greater proportion of Black residents, Latinx residents, Asian residents, and higher income had significantly higher founding rates. GWR results replicated these findings indicating these relationships varied significantly by space throughout the city. In contrast to the OLS, GWR results indicated communities farther from a rape crisis center had higher founding rates. Findings underscore the importance of analyzing localized effects and examining individual-, case-, and community-level factors on sexual assault case outcomes in the criminal legal system.

Spatial distribution and predictors of domestic violence against women: evidence from analysis of Ethiopian demographic health survey 2016

BACKGROUND

Violence against women particularly that is committed by an intimate partner is becoming a social and public health problem across the world. Studies show that the spatial variation in the distribution of domestic violence was commonly attributed to neighborhood-level predictors. Despite the prominent benefits of spatial techniques, research findings are limited. Therefore, the current study intends to determine the spatial distribution and predictors of domestic violence among women aged 15-49 in Ethiopia.

METHODS

Data from the Ethiopian demographic health survey 2016 were used to determine the spatial distribution of domestic violence in Ethiopia. Spatial auto-correlation statistics (both Global and Local Moran's I) were used to assess the spatial distribution of domestic violence cases in Ethiopia. Spatial locations of significant clusters were identified by using Kuldorff's Sat Scan version 9.4 software. Finally, binary logistic regression and a generalized linear mixed model were fitted to identify predictors of domestic violence.

RESULT

The study found that spatial clustering of domestic violence cases in Ethiopia with Moran's I value of 0.26, Z score of 8.26, and P value < 0.01. The Sat Scan analysis identifies the primary most likely cluster in Oromia, SNNP regions, and secondary cluster in the Amhara region. The output from regression analysis identifies low economic status, partner alcohol use, witnessing family violence, marital controlling behaviors, and community acceptance of wife-beating as significant predictors of domestic violence.

CONCLUSION

There is spatial clustering of IPV cases in Ethiopia. The output from regression analysis shows that individual, relationship, and community-level predictors were strongly associated with IPV. Based upon our findings, we give the following recommendation: The government should give prior concern for controlling factors such as high alcohol consumption, improper parenting, and community norm that encourage IPV that were responsible for IPV in the identified hot spot areas.

Chronic high risk of intimate partner violence against women in disadvantaged neighborhoods: An eight-year space-time analysis

We conducted a small-area ecological longitudinal study to analyze neighborhood contextual influences on the spatio-temporal variations in intimate partner violence against women (IPVAW) risk in a southern European city over an eight-year period. We used geocoded data of IPVAW cases with associated protection orders (n = 5867) in the city of Valencia, Spain (2011-2018). The city's 552 census block groups were used as the neighborhood units. Neighborhood-level covariates were: income, education, immigrant concentration, residential instability, alcohol outlet density, and criminality. We used a Bayesian autoregressive approach to spatio-temporal disease mapping. Neighborhoods with low levels of income and education and high levels of residential mobility and criminality had higher relative risk of IPVAW. Spatial patterns of high risk of IPVAW persisted over time during the eight-year period analyzed. Areas of stable low risk and with increasing or decreasing risk were also identified. Our findings link neighborhood disadvantage to the existence and persistence over time of spatial inequalities in IPVAW risk, showing that high risk of IPVAW can become chronic in disadvantaged neighborhoods. Our analytic approach provides specific risk estimates at the small-area level that are informative for intervention purposes, and can be useful to assess the effectiveness of prevention efforts in reducing IPVAW.