Care provided in visits coded for intimate partner violence in a national survey of emergency departments

"And then the person sort of just drops off the radar…": barriers in the transition from hospital to community-based care among survivors of intimate partner violence in Metropolitan Atlanta

Introduction

Hospitals and community-based organizations (CBOs) provide the service-base for survivors of intimate partner violence (IPV), particularly those in acute crisis. Both settings face discrete challenges in meeting survivors' needs. In hospitals these challenges include the pressures of a fast-paced work setting, and a lack of trauma-informed and survivor-centered care. Connections to community care are often unmeasured, with relatively little known about best practices. Often IPV survivors who receive hospital care fail to connect with community-based services after discharge. Despite the critical role of CBOs in supporting IPV survivors, there is limited research examining the perspectives and insights of CBO staff on the challenges and opportunities for improving care coordination with hospitals. The purpose of this study was to address this knowledge gap by characterizing CBO staff perceptions of IPV care coordination between hospital and community-based organizations in Metropolitan Atlanta.

Methods

We used a qualitative study design to conduct a cross-sectional examination of the perceptions and experiences of staff working at CBOs serving IPV survivors in Metropolitan Atlanta, Georgia. The adapted in-depth interview (IDI) guide was used to explore: (1) IPV survivor experiences; (2) Survivors' needs when transitioning from hospital to community-based care; (3) Barriers and facilitators to IPV care coordination; and (4) Ideas on how to improve care coordination. Data analysis consisted of a thematic analysis using MAXQDA Analytics Pro 2022.

Results

Participants (N = 14) included 13 women and one man who were staff of CBOs serving IPV survivors in Metropolitan Atlanta. CBO staff perceived that: (1) IPV survivors face individual-, organizational-, and systems-level barriers during help seeking and service provision; (2) Care coordination between hospitals and CBOs is limited due to siloed care provision; and (3) Care coordination can be improved through increased bidirectional efforts.

Conclusion

Our findings highlight the multi-level barriers IPV survivors face in accessing community-based care following medical care, the limitations of existing hospital-CBO coordination, and opportunities for improvement from the perspectives of CBO staff. Participants identified silos and inconsistent communication/relationships between hospital and CBOs as major barriers to care connections. They also suggested warm handoffs and a Family Justice Center to support care connection.

Factors associated with suicide/self-inflicted injuries among women aged 18-65 years in the United States: A 13-year retrospective analysis of the National Inpatient Sample database

BACKGROUND

Suicide is a significant cause of mortality in the United States, accounting for 14.5 deaths/100,000. Although there are data on gender disparity in suicide/self-inflicted injury rates in the United States, few studies have examined the factors associated with suicide/self-inflicted injury in females.

OBJECTIVE

To determine factors associated with suicide/self-inflicted injuries among women aged 18-65 years in the United States.

METHODS

Hospitalizations for suicide or self-inflicted injuries were identified using the National Inpatient Sample database from 2003-2015 using sample weights to generate national estimates. Independent predictors of suicide/self-inflicted injuries were identified using multivariable regression models. Interaction term analysis to identify the interaction between race/ethnicity and income were conducted.

RESULTS

There were 1,031,693 adult women hospitalizations in the U.S. with a primary diagnosis of suicide/self-inflicted injury in the study period. The highest suicide/self-inflicted injury risk was among women aged 31-45years (OR = 1.23, CI = 1.19-1.27, p < 0.05). Blacks in the highest income strata had a 20% increase in the odds of suicide/self-inflicted injury compared to Whites in the lowest socioeconomic strata (OR = 1.20, CI = 1.05-1.37, p <0.05). Intimate partner violence increased suicide/self-inflicted injury risk 6-fold (OR = 5.77, CI = 5.01-6.65, p < 0.05).

CONCLUSION

Suicide risk is among women aged 31-45 years, higher earning Black women, intimate partner violence victims, uninsured, and current smokers. Interventions and policies that reduce smoking, prevents intimate partner violence, addresses racial discrimination and bias, and provides universal health coverage are needed to prevent excess mortality from suicide deaths.

The Measurement of Intimate Partner Violence Using International Classification of Diseases Diagnostic Codes: A Systematic Review

Intimate partner violence (IPV) is challenging to measure yet systematic surveillance of IPV is critical to informing public health prevention and response efforts. Administrative medical data provide opportunities for such surveillance, and often use the International Classification of Diseases (ICD). The primary purpose of this systematic review was to document which ICD codes have been used in empirical literature to identify IPV, understand the justification used to select specific codes to develop IPV case definitions, and identify the data sources and types of research questions addressed by the existing literature. We searched 11 databases and of the initial 2182 results, 21 empirical studies from 2000 to 2020 met the study inclusion criteria including using ICD codes to measure IPV. The majority of these studies (90.5%) used either national samples of data or population-based administrative data from emergency departments (52.4%) or inpatient hospitalizations (38.1%). We found wide variation of ICD diagnostic codes to measure IPV and categorized the sets of codes used based on the number of codes. The most commonly used ICD-9 codes were E967.3, 995.81, 995.80, 995.85 and the most common ICD-10 codes were T74.1 and Z63.0. Few studies validated the ICD codes used to measure IPV. Most included studies (81.0%) answered epidemiological research questions. The current study provides suggestions for future research, including justifying the selection of ICD codes and providing a range of estimates based on narrow and broad sets of codes. Implications for policy and practice, including enhanced training for healthcare professionals in documenting IPV, are discussed.

Comparison of Intimate Partner Violence and Correlates at Urgent Care Clinics and an Emergency Department in a Rural Population

This paper describes the prevalence of and factors associated with intimate partner violence (IPV) in the urgent care setting and an academic emergency department in Appalachia. A questionnaire assessing social support, mental and physical health status, substance use, and intimate partner violence was administered to 236 women seeking care in an academic emergency department or two affiliated urgent care clinics. Data collected were compared to IPV screening data from medical records. Separate logistic regression models were fit to estimate the association between sociodemographic and health-related factors and lifetime physical and sexual intimate partner violence, adjusted for the clinical setting. Of the 236 participating women, 63 were seen in the emergency department and 173 were seen in an urgent care clinic. Emergency department patients were significantly more likely to report lifetime threatened physical, physical, or sexual abuse. Based on medical records, over 20% of participants had not been screened for IPV by clinical staff during their healthcare visit. Of those that were screened, none disclosed IPV, despite a substantial proportion reporting IPV on the survey. Although survey reports of IPV were lower in the urgent care clinics, this remains an important location to introduce screenings and resources.

Economic Hardship and Violence: A Comparison of County-Level Economic Measures in the Prediction of Violence-Related Injury

Economic hardship may lead to a wide range of negative outcomes, including violence. However, existing literature on economic hardship and violence is limited by reliance on official reports of violence and conflation of different measures of economic hardship. The goals of this study are to measure how violence-related injuries are associated with five measures of county-level economic shocks: unemployment rate, male mass layoffs, female mass layoffs, foreclosure rate, and unemployment rate change, measured cross-sectionally and by a 1-year lag. This study measures three subtypes of violence outcomes (child abuse, elder abuse, and intimate partner violence). Yearly county-level data were obtained on violence-related injuries and economic measures from 2005 to 2012 for all 87 counties in Minnesota. Negative binomial models were run regressing the case counts of each violence outcome at the county-year level on each economic indicator modeled individually, with population denominator offsets to yield incidence rate ratios. Crude models were run first, then county-level socio-demographic variables and year were added to each model, and finally fully-adjusted models were run including all socio-demographic variables plus all economic indicators simultaneously. In the fully-adjusted models, a county's higher foreclosure rate is the strongest and most consistently associated with an increase in all violence subtypes. Unemployment rate is the second strongest and most consistent economic risk factor for all violence subtypes. Lastly, there appears to be an impact of gender specific to economic impacts on child abuse; specifically, male mass-lay-offs were associated with increased rates while female mass-lay-offs were associated with decreased rates. Understanding the associations of different types of economic hardship with a range of violence outcomes can aid in developing more holistic prevention and intervention efforts.

Violence in the Great Recession

Substantial evidence suggests that economic hardship causes violence. However, a large majority of this research relies on observational studies that use traditional violence surveillance systems that suffer from selection bias and over-represent vulnerable populations, such as people of color. To overcome limitations of prior work, we employed a quasi-experimental design to assess the impact of the Great Recession on explicit violence diagnoses (injuries identified to be caused by a violent event) and proxy violence diagnoses (injuries highly correlated with violence) for child maltreatment, intimate partner violence, elder abuse, and their combination. We used Minnesota hospital data (2004-2014), conducting a difference-in-differences analysis at the county level (n = 86) using linear regression to compare changes in violence rates from before the recession (2004-2007) to after the recession (2008-2014) in counties most affected by the recession, versus changes over the same time period in counties less affected by the recession. The findings suggested that the Great Recession had little or no impact on explicitly identified violence; however, it affected proxy-identified violence. Counties that were more highly affected by the Great Recession saw a greater increase in the average rate of proxy-identified child abuse, elder abuse, intimate partner violence, and combined violence when compared with less-affected counties.

Pregnancy Outcomes of Women Hospitalized for Physical Assault, Sexual Assault, and Intimate Partner Violence

Pregnancy outcomes of women with serious injuries due to violence receive limited attention. We examined the association of assault before and during pregnancy with maternal and infant outcomes at delivery. We performed a retrospective cohort study of 2,193,711 births in Quebec, Canada between 1989 and 2016. We identified women who were hospitalized for physical assault, sexual assault, and assault with documented intimate partner violence before and during pregnancy. We examined adverse outcomes at delivery, including preeclampsia, placental abruption, antepartum hemorrhage, stillbirth, preterm birth, low birthweight, and other disorders. In log-binomial regression models, we estimated risk ratios (RR) and 95% confidence intervals (CI) for the association between violence hospitalization and adverse birth outcomes, adjusted for potential confounders. Compared with no exposure, violence before or during pregnancy was associated with the future risk of placental abruption (RR 1.49, 95% CI 1.23-1.82), antepartum hemorrhage (RR 1.43, 95% CI 1.19-1.71), stillbirth (RR 1.83, 95% CI 1.27-2.63), preterm birth (RR 1.70, 95% CI 1.54-1.87), and low birthweight (RR 1.78, 95% CI 1.58-2.00). Physical assault, sexual assault, and assault with documented intimate partner violence were all associated with adverse outcomes. The risk of adverse outcomes was elevated regardless of timing and number of violence admissions, although associations were stronger for women hospitalized twice or more. Physical assault, sexual assault, and intimate partner violence are important risk factors for adverse pregnancy outcomes. Screening for violence in women of childbearing age and closer follow-up during pregnancy may help improve birth outcomes.

Access to domestic violence advocacy by race, ethnicity and gender: The impact of a digital warm handoff from the emergency department

Background

Racial/ethnic minority survivors of domestic violence (DV) referred from emergency departments (EDs) face barriers connecting with advocacy services due to systemic inequities. This study assesses the impact of Domestic Violence Report and Referral (DVRR), a digital mandatory reporting compliance system with integrated direct-to-advocacy referrals sent with patient consent, on survivors’ likelihood of receiving advocacy by race/ethnicity and gender.

Methods

We assessed ED charts between 2014–2018 in an urban, Level 1 trauma center for DV-related positive screening, chief concern, or documentation in medical/social work notes. We matched these visits by name to local DV advocacy agency records. Using logistic regression, we assessed survivor odds of reaching advocacy by DVRR receipt, race/ethnicity and gender. We used predicted probabilities to identify between-group differences in advocacy services received.

Results

Of the 1366 visits, 740 received the DVRR intervention; 323 received advocacy services Without DVRR, compared to white, female survivors (n = 87), male survivors (n = 132) had 0.20 (95% CI: 0.07–0.56) times the odds of reaching advocacy compared to female survivors; Latinx survivors (n = 136) had 2.53 (95% CI: 1.58–4.07) times the odds of reaching advocacy compared to white survivors. With DVRR, the odds and predicted probabilities of reaching advocacy increased significantly for all survivors. White, female survivors (n = 74) who received DVRR experienced 2.60 (95% CI: 1.66–4.07) times the odds of connecting with advocacy. Compared to this reference group, Black survivors (n = 480) who received DVRR experienced 4.66 additional times the odds of reaching advocacy services (95% CI: 3.09–7.04) and male survivors (n = 84) experienced 8.96 additional times the odds (95% CI: 2.81–28.56). Overall, we predict 43% (95% CI: 38–53%) of Latinx survivors (n = 177), 36% (95% CI: 31–40%) of Black survivors (n = 480) and 23% (95% CI: 14–32%) of white survivors (n = 83); 37% (95% CI: 33–40%) of women (n = 656) and 29% (95% CI: 18–42%) of men (n = 84) received advocacy services with DVRR.

Conclusion

Direct-to-advocacy ED referrals facilitated by eHealth technology improve access to advocacy care for all survivors in this sample; marginalized racial and ethnic groups most often victimized by DV appear to have the highest rates of connection to advocacy.

Describing the Health Status of Women Experiencing Violence or Abuse: An Observational Study Using Claims Data

Introduction:

Violence against women (VAW) can result in long-term and varied sequela for survivors, making it difficult to evaluate healthcare intervention. This study seeks to improve understanding of the healthcare experiences of women survivors prior to a violence-related diagnosis, allowing healthcare systems to better design strategies to meet the needs of this population.

Methods:

Using population-based data from 2016 to 2019, this cross-sectional observational study presents healthcare spending, utilization, and diagnostic patterns of privately insured women, age 18 or older, in the 10-months prior to an episode of care for a documented experience of violence (DEV).

Results:

Of 12 624 764 women meeting enrollment criteria, 10 980 women had DEV. This group had higher general medical complexity, despite being 10 years younger than the comparison group (mean age 32.7 vs 43.5). These relationships held up when comparing participants in each cohort by age. Additional key findings including higher numbers of medical visits across clinical settings and higher total cost ($10 138-$4585).

Conclusions:

The study utilized population-based data, to describe specific areas of health and medical cost for women with DEV. Increased medical complexity and utilization patterns among survivors broaden the understanding of the health profiles and healthcare touchpoints of survivors to inform and optimize strategies for medical system engagement and resource allocation for this public health crisis.

Measuring the hidden burden of violence: use of explicit and proxy codes in Minnesota injury hospitalizations, 2004-2014

PURPOSE

Commonly-used violence surveillance systems are biased towards certain populations due to overreporting or over-scrutinized. Hospital discharge data may offer a more representative view of violence, through use of proxy codes, i.e. diagnosis of injuries correlated with violence. The goals of this paper are to compare the trends in violence in Minnesota, and associations of county-level demographic characteristics with violence rates, measured through explicitly diagnosed violence and proxy codes. It is an exploration of how certain sub-populations are overrepresented in traditional surveillance systems.

METHODS

Using Minnesota hospital discharge data linked with census data from 2004 to 2014, this study examined the distribution and time trends of explicit, proxy, and combined (proxy and explicit) codes for child abuse, intimate partner violence (IPV), and elder abuse. The associations between county-level risk factors (e.g., poverty) and county violence rates were estimated using negative binomial regression models with generalized estimation equations to account for clustering over time.

RESULTS

The main finding was that the patterns of county-level violence differed depending on whether one used explicit or proxy codes. In particular, explicit codes suggested that child abuse and IPV trends were flat or decreased slightly from 2004 to 2014, while proxy codes suggested the opposite. Elder abuse increased during this timeframe for both explicit and proxy codes, but more dramatically when using proxy codes. In regard to the associations between county level characteristics and each violence subtype, previously identified county-level risk factors were more strongly related to explicitly-identified violence than to proxy-identified violence. Given the larger number of proxy-identified cases as compared with explicit-identified violence cases, the trends and associations of combined codes align more closely with proxy codes, especially for elder abuse and IPV.

CONCLUSIONS

Violence surveillance utilizing hospital discharge data, and particularly proxy codes, may add important information that traditional surveillance misses. Most importantly, explicit and proxy codes indicate different associations with county sociodemographic characteristics. Future research should examine hospital discharge data for violence identification to validate proxy codes that can be utilized to help to identify the hidden burden of violence.

Changes in Incidents and Payment Methods for Intimate Partner Violence Related Injuries in Women Residing in the United States, 2002 to 2015

BACKGROUND

Violence in interpersonal relationships is a substantial health and social problem in the United States and is associated with a myriad of immediate and long-term physical, behavioral, and neurocognitive impairments. The present study sought to determine the incidence of U.S. emergency department (ED)-attended intimate partner violence (IPV) from 2002 to 2015 and examine the differences in payment sources before and after implementation of the Affordable Care Act.

METHODS

We analyzed ED visits among female patients aged 15 years or older between 2002 and 2015 from the National Hospital Ambulatory Medical Care Survey. Using International Classification of Disease, Ninth Revision, Clinical Modification, codes from patient visit records, we classified each ED visit to determine the frequency and estimate the relative proportion and national frequency of IPV visits. We explored bivariate and multivariate associations between IPV-related injuries with age, race, ethnicity, method of payment, and region, noting changes over time.

RESULTS

Between 2002 and 2015, female patients visited EDs an estimated 2,576,417 times for IPV-related events, and the proportion of ED visits for IPV increased during that time period. The percentage of ED visits for IPV-related events did not differ significantly by region, race, or ethnicity. Compared with women 25-44 years of age, women aged 65 to 74 (odds ratio, 0.15; 95% confidence interval, 0.05-0.43; p < .001) and 75 years and older (odds ratio, 0.20; 95% confidence interval, 0.08-0.53; p = .001) were less likely to visit an ED for IPV. Women were more likely to pay for IPV-related services out-of-pocket (i.e., self-pay) (odds ratio, 1.85; 95% confidence interval, 1.24-277; p = .003) before the enactment of the Affordable Care Act.

CONCLUSIONS

The increase in the percentage of IPV-related ED claims paid by private insurance suggests that the Affordable Care Act may have increased women's willingness and ability to seek medical attention for IPV-related injuries and disclose IPV as the source of injuries.

The Emergency Department Response to Women Experiencing Intimate Partner Violence: Insights From Interviews With Clinicians in Australia

BACKGROUND AND OBJECTIVES

Emergency departments (EDs) are essential providers of compassionate, immediate treatment and referral for women experiencing intimate partner violence (IPV). IPV, largely perpetrated by men against women, exerts a substantial burden on the health systems and economies of all nations. There is little known about how staff in Australian EDs respond to the challenges such violence generates. We therefore examined the clinical team response to women experiencing IPV in two large Australian metropolitan hospital EDs.

METHODS

We undertook qualitative semistructured interviews and focus group discussions with 35 social workers, nurses, and doctors. Transcripts were recorded and transcribed verbatim. We analyzed the data thematically. We first undertook line-by-line coding and organized content into descriptive categories. Latent and manifest patterns were identified across the data and mapped to key themes in negotiation with all authors.

RESULTS

Respondents emphasized challenges identifying IPV resulting from professional uncertainty or discomfort and women's fear of the ramifications of disclosure. Emergency clinicians routinely referred women to social workers after medical treatment and described effective collaboration across professions. Social workers outlined difficulties coordinating care with health and community agencies. Staff highlighted challenges maintaining nonjudgmental attitudes and managing their own feelings-especially clinicians who had personally experienced violence.

CONCLUSIONS

Emergency departments can provide caring environments for women experiencing IPV. Effective interprofessional teamwork across nursing, medical, and social work professionals may mitigate the need for formal screening tools. Supportive workforce environments can improve staff understanding, reduce stigma, enhance appropriate treatment, and counsel health professionals experiencing violence. However, staff training and advocacy and referral relationships with local programs require strengthening. A connected multisystems-level response is required to coordinate and resource services for all affected by violence.

A 15-Year Population-Based Investigation of Sexual Assault Cases Across the Province of Ontario, Canada, 2002-2016

Objectives. To estimate the population-level frequencies and standardized rates of sexual assault cases in the province of Ontario, Canada.Methods. We conducted a 15-year retrospective analysis (2002-2016) of sexual assault cases by linking 5 provincial administrative health databases. We defined sexual assault by an algorithm of 23 International Classification of Diseases, 10th Revision, and physician billing codes. We calculated age- and sex-stratified standardized rates per 100 000 census population, and we used age- and sex-stratified Poisson regressions to determine annual rate ratios.Results. Between 2002 and 2016, there were 52 780 incident cases of sexual assault in Ontario at a rate of 27.38 per 100 000 population. The highest rates were found among females aged 15 to 19 years (187 per 100 000) and 20 to 24 years (127 per 100 000). Among males, the highest rates were observed among children aged 0 to 4 years (41 per 100 000) and 5 to 9 years (29 per 10 000). Among males and females, the annual rate ratio increased among those aged 15 years and older and decreased among those aged 14 years and younger.Conclusions. Sexual assault was documented across all age groups and sexes, from children to elders, with high standardized rates among adolescents and children.

Intimate partner violence and clinical coding: issues with the use of the International Classification of Disease (ICD-10) in England

Objectives

To investigate the availability of intimate partner violence-related population health information in England and the possibility of identifying intimate partner violence-exposed population sample frames from administrative health data systems in England employing the International Classification of Disease.

Methods

Research design was an exploratory mixed method approach that involved trend analysis of numbers of applications of International Classification of Disease intimate partner violence classifications for admissions to NHS hospitals in England over a five-year period and semi-structured focus group interviews with clinical coders at an NHS Hospital.

Results

Use of International Classification of Disease intimate partner violence classifications was generally low across NHS Trusts in England. There was notable variation in the numbers of applications across NHS providers which demographic differences or rates of violence perpetration would not account for. The interview findings revealed conceptual ambiguity regarding intimate partner violence classifications which presented challenges for clinical coding and raised questions about the reliability and validity of International Classification of Disease’s intimate partner violence classifications.

Conclusion

It would not be possible to extract robust data about populations exposed to intimate partner violence for the purposes of audit, governance or research from health information systems using current International Classification of Disease-10 classifications. Development of these International Classification of Disease codes is essential for violence and abuse to be captured more accurately in health information systems and afforded greater prioritization and funding proportionate to the health burden and service demands that intimate partner violence is responsible for.

Supporting female survivors of intimate partner violence with disabilities: Recommendations for social workers in the emergency department

Intimate partner violence (IPV) is a pervasive problem with grave consequences. Women with disabilities are among the most vulnerable groups disproportionately affected, with higher IPV rates than either women without disabilities or men with disabilities. The emergency department (ED) in particular affords a gateway into health services for female survivors of IPV, placing ED social workers in a prime position to observe potential signs of IPV and connect survivors to further assistance. This article explores the critical role ED social workers can fill in addressing the needs of female survivors of IPV with disabilities. We begin by providing background on the characteristics of IPV among women with disabilities, followed by a discussion of the opportunities and challenges inherent to assessing and intervening with survivors. We conclude by outlining recommendations for working with female survivors of IPV with disabilities in EDs, using our previous research on the topic as a guide.

Intimate partner violence-related hospitalizations in Appalachia and the non-Appalachian United States

The highly rural region of Appalachia faces considerable socioeconomic disadvantage and health disparities that are recognized risk factors for intimate partner violence (IPV). The objective of this study was to estimate the rate of IPV-related hospitalizations in Appalachia and the non-Appalachian United States for 2007–2011 and compare hospitalizations in each region by clinical and sociodemographic factors. Data on IPV-related hospitalizations were extracted from the State Inpatient Databases, which are part of the Healthcare Cost and Utilization Project. Hospitalization day, year, in-hospital mortality, length of stay, average and total hospital charges, sex, age, payer, urban-rural location, income, diagnoses and procedures were compared between Appalachian and non-Appalachian counties. Poisson regression models were constructed to test differences in the rate of IPV-related hospitalizations between both regions. From 2007–2011, there were 7,385 hospitalizations related to IPV, with one-third (2,645) occurring in Appalachia. After adjusting for age and rurality, Appalachian counties had a 22% higher hospitalization rate than non-Appalachian counties (ARR = 1.22, 95% CI: 1.14–1.31). Appalachian residents may be at increased risk for IPV and associated conditions. Exploring disparities in healthcare utilization and costs associated with IPV in Appalachia is critical for the development of programs to effectively target the needs of this population.

Racial Disparities in Intimate Partner Violence Examined Through the Multiple Disadvantage Model

This research adopted the perspective of the multiple disadvantage model to explore racial disparities in intimate partner violence (IPV) against women and IPV's links to social structural factors, social relationships, substance use, and health/mental health and access to related services. The study used data from 6,588 women who completed the National Violence Against Women Survey; linear regression was conducted separately for four ethnic groups. Results consistently showed physical assaults to increase with posttraumatic stress disorder symptoms. For African Americans, increases in assaults were linked to injury, disclosing IPV to friends/family as well as medical professionals, Medicaid use, and drug use; decreases, in turn, were linked to past assault by ex-partners. For Latinas, increases in assaults were associated with eight factors: being married, number of ex-partners, depression, disclosing IPV to friends/family and disclosing to mental-health professionals, drug use, alcohol abstinence, and partner's frequent alcohol use. For European Americans, increases in assaults were linked to number of ex-partners, injury, low income, Medicaid use, disclosing IPV to friends/family as well as mental-health professionals, and alcohol abstinence; decreases were associated with age and with other health insurance coverages. For women of other ethnicity, increases were linked to number of ex-partners, disclosing IPV to mental-health professionals, Medicaid use, drug use, and woman's own as well as partner's alcohol abstinence; decreases in this ethnicity category were linked to past assault by ex-partners. Intervention and policy implications are discussed.

Jordanian Nurses’ Barriers to Screening for Intimate Partner Violence

Screening rates for intimate partner violence (IPV) among nurses are still very low. The study purpose is to evaluate IPV screening and barriers by Jordanian nurses. A cross-sectional design was used with a stratified random sample ( N = 125) of Jordanian nurses. Findings included a significantly lower IPV screening rate among Jordanian nurses compared with those in the United States, no difference in screening between IPV victims compared with non-victimized nurses, and that the IPV screening barriers related to a lack of system support were the most clinically important barriers. Nurses can work in partnership with health care providers and managers to increase screening and overcome barriers.

United States emergency department visits coded for intimate partner violence

BACKGROUND

Limited information exists about medical treatment for victims of intimate partner violence (IPV).

OBJECTIVE

Our aim was to estimate the number of emergency department (ED) visits and subsequent hospitalizations that were assigned a code specific to IPV and to describe the clinical and sociodemographic features of this population.

METHODS

Data from the Nationwide Emergency Department Sample from 2006-2009 were analyzed. Cases with an external cause of injury code of E967.3 (battering by spouse or partner) were abstracted.

RESULTS

From 2006-2009, there were 112,664 visits made to United States EDs with an e-code for battering by a partner or spouse. Most patients were female (93%) with a mean age of 35 years. Patients were significantly more likely to reside in communities with the lowest median income quartile and in the Southern United States. Approximately 5% of visits resulted in hospital admission. The mean charge for treat-and-release visits was $1904.69 and $27,068.00 for hospitalizations. Common diagnoses included superficial injuries and contusions, skull/face fractures, and complications of pregnancy. Females were more likely to experience superficial injuries and contusions, and males were more likely to have open wounds of the head, neck, trunk, and extremities.

CONCLUSIONS

From 2006 to 2009, there were approximately 28,000 ED visits per year with an e-code specific to IPV. Although a minority, 7% of these visits were made by males, which has not been reported previously. Future prospective research should confirm the unique demographic and geographic features of these visits to guide development of targeted screening and intervention strategies to mitigate IPV and further characterize male IPV visits.

Risk factors associated with different types of intimate partner violence (IPV): an emergency department study

BACKGROUND

Domestic intimate partner violence (IPV) is a serious health care concern, which may be mitigated by early detection, screening, and intervention.

OBJECTIVES

We examine posited predictors in IPV and non-IPV groups, and in four different IPV profiles. Possible factors include 1) alcohol use, 2) drug use, 3) depression, 4) impulsivity, 5) age, and 6) any childhood experience in observing parental violence. We also introduce a new "Five Steps in Screening for IPV" quick reference tool, which may assist emergency physicians in detection and treatment.

METHODS

This was a cross-sectional study using survey data from 412 inner-city emergency department patients. Associations were explored using a chi-squared test of independence, independent-samples t-tests, and a one-way analysis of variance.

RESULTS

Nearly 16% had experienced IPV. As a group, they were younger, and more depressed and impulsive than the non-IPV group. They were more likely to engage in binge drinking, use drugs, and had more childhood exposure to violence. In the IPV group, 31% were perpetrators, 20% victims, and 49% both victims and perpetrators. The latter group was younger, more impulsive and depressed, used drugs, and was more likely to have observed parental violence as a child.

CONCLUSION

Correlates in groups affected by IPV indicate the same general risk factors, which seem to more acutely affect those who are both perpetrators and victims. Alcohol and drug use, depressive symptoms, and childhood exposure to violence may be factors and signs for which emergency physicians should screen in the context of IPV.

A comparison of intimate partner violence between Jordanian nurses and Jordanian women

Intimate partner violence is a serious international problem. It is not known if the extent of intimate partner violence for Jordanian nurses is similar to that of Jordanian women. Until the rate is known, implementation of nursing interventions for Jordanian women may be thwarted. The study purpose was to determine the rate of intimate partner violence among Jordanian nurses working in governmental health settings in a northern city of Jordan and to compare the rate to published statistics for a community sample of Jordanian women. A cross-sectional survey design was used for this study. A stratified random sample of 80 Jordanian nurses working in governmental women's health centers and public hospitals in a northern city of Jordan was invited to participate. Institutional review board approval was granted. Participants completed the Woman Abuse Screening Tool in a private room at their work site. No identifiers were added to the survey forms. Chi-squared goodness-of-fit tests were computed to compare the rate of intimate partner violence between the study sample and reported statistics for Jordanian women. Approximately 59% of participants experienced psychological violence, 12.5% experienced physical violence, and 5.1% experienced sexual violence. No significant differences were found in the rates of violence for the study sample and published data for a community sample of Jordanian women. Intimate partner violence is as prevalent against Jordanian nurses as it is for Jordanian women. Intimate partner violence needs to be addressed to prevent potential sequelae such as decreased work productivity and an inability to provide safe patient care.

Intimate partner violence and welfare participation: a longitudinal causal analysis

This longitudinal study examined the temporal-ordered causal relationship between intimate partner violence (IPV), five mental disorders (depression, generalized anxiety disorder, social phobia, panic attack, posttraumatic stress disorder [PTSD]), alcohol abuse/dependence, drug abuse/dependence, treatment seeking (from physician, counselor, and self-help group), employment, child support, and welfare participation. It was a secondary data analysis of records of 571 women; the records were extracted from the study "Violence Against Women and the Role of Welfare Reform" (VAWRWR). Results from generalized estimating equations (GEE) showed that experiencing controlling behaviors reduced likelihood of welfare participation whereas experiencing physical abuse increased it. Significant impact on welfare participation was wielded by panic attack, drug abuse/dependence, and employment; treatment seeking and child support made no significant impact. The study found no significant mediating effect wielded by panic attack, drug abuse/dependence, employment, or child support on welfare participation's relationship to controlling behaviors or physically abusive behaviors experienced. Implications for intervention are discussed.

Prevalence of intimate partner violence in patients presenting with traumatic injuries to a Guyanese emergency department

Background

Intimate partner violence (IPV) occurs throughout the world, and has both short- term and long- term negative health effects. Little is know about the prevalence of IPV in patients presenting to Emergency Departments (EDs) in the developing world. This information is needed to help delineate the scope of the problem and shape effective interventions to combat IPV. The purpose of this study was to determine the prevalence of intimate partner violence in adult patients with acute traumatic injuries presenting to an ED in Georgetown, Guyana.

Methods

Retrospective descriptive analysis of a prospectively collected ED quality assurance database. Patients 18 years or older who presented with a traumatic injury and answered the question “Was the injury inflicted by a domestic partner?” were included in the analysis.

Results

Overall, 38 of 475 (8%) patients admitted to having injuries inflicted by a domestic partner. Thirty- one (81.6%) patients disclosing IPV were female and 7 (18.4%) were male. The self- reported prevalence of IPV in females presenting with traumatic injuries was 16% compared to 2% for males (RR 6.4; 95% CI 2.9-14.3). IPV was the cause of 31 of the 67 (46.3%) women presenting with assaults.

Conclusions

IPV is thought to be a serious problem in Guyana, and this study confirms a high prevalence (16%) of IPV in women presenting with traumatic injuries to the Georgetown Public Hospital Corporation ED. This is likely a significant underestimate of the true prevalence.

A predictive model to help identify intimate partner violence based on diagnoses and phone calls

BACKGROUND

Intimate partner violence (IPV) is a significant health problem but goes largely undiagnosed, undisclosed, and clinically undocumented.

PURPOSE

To use historical data on diagnoses and telephone advice calls to develop a predictive model that identifies clinical profiles of women at high risk for undisclosed IPV.

METHODS

A case-control study was conducted in women aged 18-44 years enrolled at Kaiser Permanente Northern California (KPNC) in 2005-2006 using symptoms reported by telephone and clinical diagnosis from electronic medical records. Analysis was conducted in 2007-2010. Overall, 1276 cases were identified using ICD-9 codes for IPV and were matched with 5 controls each. A full multivariate model was developed to identify those with IPV, as well as a reduced model and a summed-score model whose performance characteristics were assessed.

RESULTS

Predictors most highly associated with IPV were history of remote IPV (OR=7.8); calls or diagnoses for psychiatric problems (OR=2.4); calls for HIV concerns (OR=2.4); and clinical diagnoses of prenatal complications (OR=2.1). Using the summed-score model for a population with IPV prevalence of 7%, and using a threshold score of 3 for predicting IPV with a sensitivity of 75%, 9.7 women would need to be assessed to diagnose one case of IPV.

CONCLUSIONS

Diagnosed IPV was associated with a clinical profile based on both telephone call data and clinical diagnoses. The simple predictive model can prompt focused clinical inquiry and improve diagnosis of IPV in any clinical setting.