Dataset Information

Socioeconomic Factors Associated With Reports of Domestic Violence in Large Brazilian Cities.

ABSTRACT: Background: Domestic violence is a traumatic experience that can lead to physical consequences, mental disorders and financial damage. Over 18 cases per 100,000 inhabitants were reported in Brazil between 2013 and 2014. The ministry of health poses a mandatory notification of all cases of domestic violence, which is essential, bearing in mind its systemic relation to various social issues and the extensive regional differences and high socioeconomic inequalities present in Brazil. Aim: To analyze the characteristics of the notification rates of domestic violence and investigate the correlation of these with health and socioeconomic characteristics of large Brazilian cities. Methods: Retrospective data on notifications of domestic violence was collected from the National Information System for Notifiable Diseases for Brazil, 2017. Dependent variables were collected from the Brazilian Institute of Geography and Statistics and Ministry of Citizenship. Inclusion criteria were: cities larger than 100.000 habitants and that had at least 20 reports, totaling 68.313 reports in 259 cities. These were stratified by age, race and sex of victim, type of violence used, violence perpetrator, place of occurrence and means of aggression. Proportional number of notified cases was calculated for each city to expose different characteristics of reports. A multiple linear regression model was used to investigate the correlation between report rates and different socioeconomic and health variables. Results: The analysis showed a high proportion of repeated violence, use of body strength and over 50% were perpetrated by a partner or boyfriend. Report rates were higher for women, black individuals and children under four, highlighting subgroups of the population that were more vulnerable. Indeed, these groups were correlated differently with socioeconomic variables. Poverty, assessed as Bolsa Família investment, was correlated with domestic violence report rates across vulnerable groups. Conclusion: The study showed that black women and children are more vulnerable to domestic violence, highlighting deleterious effects of patriarchy and structural racism within Brazilian society. Altogether, we suggest that reducing poverty, patriarchy and structural racism could lead to fewer cases of domestic violence.

SUBMITTER: Pereira MUL

PROVIDER: S-EPMC7884961 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature

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Socioeconomic Factors Associated With Reports of Domestic Violence in Large Brazilian Cities.

Pereira Marina Uchoa Lopes MUL Gaspar Renato Simões RS

Frontiers in public health 20210201

<b>Background:</b> Domestic violence is a traumatic experience that can lead to physical consequences, mental disorders and financial damage. Over 18 cases per 100,000 inhabitants were reported in Brazil between 2013 and 2014. The ministry of health poses a mandatory notification of all cases of domestic violence, which is essential, bearing in mind its systemic relation to various social issues and the extensive regional differences and high socioeconomic inequalities present in Brazil. <b>Aim: ...[more]

PMID: 33604324

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Project description:BackgroundDomestic violence and abuse (DVA) is common and damaging to health. UK national guidance advocates a multi-agency response to DVA, and domestic homicide reviews consistently recommend improved information-sharing between agencies. Identification of patients experiencing DVA in general practice may come from external information shared with the practice, such as police incident reports and multi-agency risk assessment conference (MARAC) reports. The aim of this study was to explore the views of general practitioners (GPs) and the police about sharing reports about DVA with GPs.MethodsQualitative semi-structured interviews were conducted with GPs, police staff and a partnership manager. Participants were located across England and Wales. Thematic analysis was undertaken.ResultsInterviews were conducted with 23 GPs, six police staff and one former partnership manager. Experiences of information-sharing with GPs about DVA varied. Participants described the relevance and value of external reports to GPs to help address the health consequences of DVA and safeguard patients. They balanced competing priorities when managing this information in the electronic medical record, namely visibility to GPs versus the risk of unintended disclosure to patients. GPs also spoke of the judgements they made about exploring DVA with patients based on external reports, which varied between abusive and non-abusive adults and children. Some felt constrained by short general practice consultations. Some police and GPs reflected on a loss of control when information about DVA was shared between agencies, and the risk of unintended consequences. Both police and GPs highlighted the importance of clear information and a shared understanding about responsibility for action.ConclusionGPs regarded external reports about DVA as relevant to their role, but safely recording this information in the electronic medical record and using it to support patients required complex judgements. Both GPs and police staff emphasised the importance of clarity of information and responsibility for action when information was shared between agencies about patients affected by DVA.

Project description:BACKGROUND:The police attend numerous domestic violence events each year, recording details of these events as both structured (coded) data and unstructured free-text narratives. Abuse types (including physical, psychological, emotional, and financial) conducted by persons of interest (POIs) along with any injuries sustained by victims are typically recorded in long descriptive narratives. OBJECTIVE:We aimed to determine if an automated text mining method could identify abuse types and any injuries sustained by domestic violence victims in narratives contained in a large police dataset from the New South Wales Police Force. METHODS:We used a training set of 200 recorded domestic violence events to design a knowledge-driven approach based on syntactical patterns in the text and then applied this approach to a large set of police reports. RESULTS:Testing our approach on an evaluation set of 100 domestic violence events provided precision values of 90.2% and 85.0% for abuse type and victim injuries, respectively. In a set of 492,393 domestic violence reports, we found 71.32% (351,178) of events with mentions of the abuse type(s) and more than one-third (177,117 events; 35.97%) contained victim injuries. "Emotional/verbal abuse" (33.46%; 117,488) was the most common abuse type, followed by "punching" (86,322 events; 24.58%) and "property damage" (22.27%; 78,203 events). "Bruising" was the most common form of injury sustained (51,455 events; 29.03%), with "cut/abrasion" (28.93%; 51,284 events) and "red marks/signs" (23.71%; 42,038 events) ranking second and third, respectively. CONCLUSIONS:The results suggest that text mining can automatically extract information from police-recorded domestic violence events that can support further public health research into domestic violence, such as examining the relationship of abuse types with victim injuries and of gender and abuse types with risk escalation for victims of domestic violence. Potential also exists for this extracted information to be linked to information on the mental health status.

Project description:BACKGROUND:Although leprosy is largely curable with multidrug therapy, incomplete treatment limits therapeutic effectiveness and is an important obstacle to disease control. To inform efforts to improve treatment completion rates, we aimed to identify the geographic and socioeconomic factors associated with leprosy treatment default in Brazil. METHODOLOGY/PRINCIPAL FINDINGS:Using individual participant data collected in the Brazilian national registries for social programs and notifiable diseases and linked as part of the 100 Million Brazilian Cohort, we evaluated the odds of treatment default among 20,063 leprosy cases diagnosed and followed up between 2007 and 2014. We investigated geographic and socioeconomic risk factors using a multivariate hierarchical analysis and carried out additional stratified analyses by leprosy subtype and geographic region. Over the duration of follow-up, 1,011 (5.0%) leprosy cases were observed to default from treatment. Treatment default was markedly increased among leprosy cases residing in the North (OR = 1.57; 95%CI 1.25-1.97) and Northeast (OR = 1.44; 95%CI 1.17-1.78) regions of Brazil. The odds of default were also higher among cases with black ethnicity (OR = 1.29; 95%CI 1.01-1.69), no income (OR = 1.41; 95%CI 1.07-1.86), familial income ? 0.25 times Brazilian minimum wage (OR = 1.42; 95%CI 1.13-1.77), informal home lighting/no electricity supply (OR = 1.53; 95%CI 1.28-1.82), and household density of > 1 individual per room (OR = 1.35; 95%CI 1.10-1.66). CONCLUSIONS:The findings of the study indicate that the frequency of leprosy treatment default varies regionally in Brazil and provide new evidence that adverse socioeconomic conditions may represent important barriers to leprosy treatment completion. These findings suggest that interventions to address socioeconomic deprivation, along with continued efforts to improve access to care, have the potential to improve leprosy treatment outcomes and disease control.

Project description:Domestic violence and abuse (DVA) are associated with increased risk of mental illness, but we know little about the mental health of female DVA survivors seeking support from domestic violence services.Our goal was to characterise the demography and mental health of women who access specialist DVA services in the United Kingdom and to investigate associations between severity of abuse and measures of mental health and health state utility, accounting for important confounders and moderators.Baseline data on 260 women enrolled in a randomized controlled trial of a psychological intervention for DVA survivors were analysed. We report the prevalence of and associations between mental health status and severity of abuse at the time of recruitment. We used logistic and normal regression models for binary and continuous outcomes, respectively. The following mental health measures were used: Clinical Outcomes in Routine Evaluation - Outcome Measure (CORE-OM), Patient Health Questionnaire, Generalised Anxiety Disorder Assessment, and the Posttraumatic Diagnostic Scale to measure posttraumatic stress disorder (PTSD). The Composite Abuse Scale (CAS) measured abuse.Exposure to DVA was high, with a mean CAS score of 56 (SD 34). The mean CORE-OM score was 18 (SD 8) with 76% above the clinical threshold (95% confidence interval: 70-81%). Depression and anxiety levels were high, with means close to clinical thresholds, and more than three-quarters of respondents recorded PTSD scores above the clinical threshold. Symptoms of mental illness increased stepwise with increasing severity of DVA.Women DVA survivors who seek support from DVA services have recently experienced high levels of abuse, depression, anxiety, and especially PTSD. Clinicians need to be aware that patients presenting with mental health conditions or symptoms of depression or anxiety may be experiencing or have experienced DVA. The high psychological morbidity in this population means that trauma-informed psychological support is needed for survivors who seek support from DVA services.

Dataset Information

Socioeconomic Factors Associated With Reports of Domestic Violence in Large Brazilian Cities.

Publications

Socioeconomic Factors Associated With Reports of Domestic Violence in Large Brazilian Cities.

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