Challenges and Opportunities for Studying Routine Screening for Abuse

Intimate Partner Violence and Human Trafficking Screening and Services in Primary Care Across Underserved Communities in the United States-Initial Examination of Trends, 2020-2021

OBJECTIVES

The Health Resources and Services Administration (HRSA) began collecting data on intimate partner violence (IPV) and human trafficking (HT) in the 2020 Uniform Data System (UDS). We examined patients affected by IPV and HT served by HRSA-funded health centers in medically underserved US communities during the COVID-19 pandemic.

METHODS

We established a baseline and measured trends in patient care by analyzing data from the 2020 (N = 28 590 897) and 2021 (N = 30 193 278) UDS. We conducted longitudinal ordinal logistic regression analyses to assess the association of care trends and organization-level and patient characteristics using proportional odds ratios (PORs) and 95% CIs.

RESULTS

The number of clinical visits for patients affected by IPV and HT decreased by 29.4% and 88.3%, respectively, from 2020 to 2021. Health centers serving a higher (vs lower) percentage of pediatric patients were more likely to continuously serve patients affected by IPV (POR = 2.58; 95% CI, 1.01-6.61) and HT (POR = 6.14; 95% CI, 2.06-18.29). Health centers serving (vs not serving) patients affected by IPV were associated with a higher percentage of patients who had limited English proficiency (POR = 1.77; 95% CI, 1.02-3.05) and Medicaid beneficiaries (POR = 2.88; 95% CI, 1.48-5.62), whereas health centers serving (vs not serving) patients affected by HT were associated with a higher percentage of female patients of reproductive age (POR = 15.89; 95% CI, 1.61-157.38) and urban settings (POR = 1.74; 95% CI, 1.26-2.37).

CONCLUSIONS

The number of clinical visits for patients affected by IPV and HT during the COVID-19 pandemic declined. Delayed care will pose challenges for future health care needs of these populations.

Development and external validation of a pretrained deep learning model for the prediction of non-accidental trauma

Non-accidental trauma (NAT) is deadly and difficult to predict. Transformer models pretrained on large datasets have recently produced state of the art performance on diverse prediction tasks, but the optimal pretraining strategies for diagnostic predictions are not known. Here we report the development and external validation of Pretrained and Adapted BERT for Longitudinal Outcomes (PABLO), a transformer-based deep learning model with multitask clinical pretraining, to identify patients who will receive a diagnosis of NAT in the next year. We develop a clinical interface to visualize patient trajectories, model predictions, and individual risk factors. In two comprehensive statewide databases, approximately 1% of patients experience NAT within one year of prediction. PABLO predicts NAT events with area under the receiver operating characteristic curve (AUROC) of 0.844 (95% CI 0.838-0.851) in the California test set, and 0.849 (95% CI 0.846-0.851) on external validation in Florida, outperforming comparator models. Multitask pretraining significantly improves model performance. Attribution analysis shows substance use, psychiatric, and injury diagnoses, in the context of age and racial demographics, as influential predictors of NAT. As a clinical decision support system, PABLO can identify high-risk patients and patient-specific risk factors, which can be used to target secondary screening and preventive interventions at the point-of-care.

Differences in Sexual and Physical Abuse History by Presenting Chief Complaint in an Outpatient Urogynecology Population

IMPORTANCE

One in 3 women experience sexual or physical violence in their lifetimes. Health consequences for survivors are numerous, including urogynecologic symptoms.

OBJECTIVES

We aimed to determine prevalence and factors that predict a history of sexual or physical abuse (SA/PA) in outpatient urogynecology, specifically whether the chief complaint (CC) predicts a history of SA/PA.

STUDY DESIGN

This cross-sectional study analyzed 1,000 newly presenting patients to 1 of 7 urogynecology offices in western Pennsylvania from November 2014 to November 2015. All sociodemographic/medical data were retrospectively abstracted. Univariable and multivariable logistic regression analyzed risk factors based on known associated variables.

RESULTS

One thousand new patients had a mean age of 58.4 ± 15.8 years with a body mass index (BMI) of 28.8 ± 6.5. Nearly 12% reported a history of SA/PA. Patients with CC of pelvic pain were more than twice as likely to report abuse compared with all other CCs (odds ratio [OR], 2.690; 95% confidence interval [CI], 1.576-4.592). Prolapse was the most common CC (36.2%) but had the lowest prevalence of abuse (6.1%). Nocturia was an additional urogynecologic variable predictive of abuse (OR, 1.162 per nightly episode; 95% CI, 1.033-1.308). Increasing BMI and decreasing age both increased the risk of SA/PA. Smoking conferred the highest likelihood of abuse history (OR, 3.676; 95% CI, 2.252-5.988).

CONCLUSIONS

Although those with a CC of prolapse were less likely to report abuse history, we recommend routine screening for all women. Pelvic pain was the most common CC among women reporting abuse. Special efforts should be made to screen those at higher risk with complaints of pelvic pain who are younger, smokers, with higher BMI, and with increased nocturia.

Encouraging Asian Immigrant Women to Disclose Intimate Partner Violence in Primary Care Settings

Risks of intimate partner violence (IPV) often are higher among immigrant women, due to dependency, language barriers, deportation fears, cultural beliefs, and limited access to services. In the United States, Asian immigrant women experiencing IPV often are reluctant to disclose abuse. Viewing videos that depict IPV survivors who have successfully obtained help might encourage disclosure. After conducting formative research, we created brief videos in four Asian languages (Korean, Mandarin Chinese, Thai, and Vietnamese) for use in primary care clinic consultation rooms. We then conducted in-depth interviews with 60 Asian immigrant women in California to get their perspectives on how helpful the videos might be in achieving disclosure. Most participants believed the videos would promote disclosure in clinics, although those who had been abused seemed more skeptical. Many had stereotyped views of victims, who they felt needed to be emotive to be credible. Videos should be upbeat, highlighting the positive outcomes of escaping violence and showing clearly each step of the process. Various types of IPV should be described, so that women understand the violence is not exclusively physical. Victims would need reassurance that they will not be arrested, deported, or forced to leave their abusers. Discussing the benefits of escaping violence to children could be influential. Victims also must be convinced that providers are trustworthy, confidential, and want to help. To assist immigrant populations to disclose IPV to a health provider, videos need to be culturally relevant, explain various types of violence, allay fears, and show clear processes and benefits.

Challenges of Using Videos in Exam Rooms of Safety-Net Clinics to Encourage Patient Self-Disclosure of Intimate Partner Violence and to Increase Provider Screening

Identifying intimate partner violence (IPV) in clinics allows for early intervention. We tested a comprehensive approach in five safety-net clinics to encourage female victims to self-identify and providers to screen. The main components were (a) short, multilingual videos for female patients; (b) provider training; and (c) management tools. Although videos were viewed 2,150 times, only 9% of eligible patients watched them. IPV disclosure increased slightly (6%). Lack of internal champions, high turnover, increased patient load, and technological challenges hindered outcomes. Safety-net clinics need feasible methods to encourage IPV screening. Management champions and IT support are essential for video-based activities.

Middle-aged Women's Experiences of Intimate Partner Violence Screening and Disclosure: "It's a private matter. It's an embarrassing situation"

BACKGROUND

National guidelines indicate that healthcare providers should routinely screen women of reproductive age for experience of intimate partner violence. We know little about intimate partner violence (IPV) screening and disclosure experience among women older than reproductive age.

OBJECTIVE

To examine the perspectives of middle-aged women who had experienced past-year IPV regarding IPV screening and disclosure in the healthcare setting.

DESIGN

Individual semi-structured qualitative interviews were conducted in-person as part of a larger study examining IPV screening and response services through the Veterans Health Administration.

PARTICIPANTS

Twenty-seven women aged 45-64 (mean age 53) who experienced past-year IPV and received care at one of two Veterans Affairs Medical Centers.

APPROACH

Interviews were digitally recorded and transcribed. Data were sorted and analyzed using templated notes and line-by-line coding, based on codes developed by the study team through an initial review of the data. Themes were derived from further analysis of the data coded for "screening" and "disclosure" for respondents aged 45 and older.

KEY RESULTS

Barriers to disclosure of IPV to a healthcare provider included as follows: (a) feelings of shame, stigma, and/or embarrassment about experiencing IPV; (b) screening context not feeling comfortable or supportive, including lack of comfort with or trust in the provider and/or a perception that screening was conducted in a way that felt impersonal and uncaring; and (c) concerns about privacy and safety related to disclosure. Provider demonstrations of care, empathy, and support facilitated disclosure and feelings of empowerment following disclosure.

CONCLUSIONS

Middle-aged women may benefit from routine IPV screening and response in the healthcare setting. Such interventions should be sensitive to concerns regarding stigma and privacy that may be prevalent among this population.

Addressing intimate partner violence with female patients with chronic physical disabilities: the role of physical therapists

BACKGROUND

Women with disabilities are at heightened risk of intimate partner violence, experiencing higher rates of physical and sexual violence than women without disabilities. Women with disabilities are also at risk of sustaining additional chronic injuries and debilitating conditions associated with intimate partner violence. Physical therapists strive to enhance the well-being and quality of life of individuals experiencing impairments, activity limitations, and/or participation restrictions due to physical health concerns. This professional focus places physical therapists in an important position to identify adverse life situations such as intimate partner violence which seriously degrades the well-being, quality of life, and physical health of patients.

PURPOSE

Physical therapists encounter numerous individuals with disabilities in their practice, and given the high rates of intimate partner violence within this population, it is important that physical therapists are aware of how to identify and respond to this issue.

CONCLUSION

This article provides background on the problem of intimate partner violence among women with chronic physical disabilities, and explores assessment, practice, and education guidelines intended to assist physical therapists address intimate partner violence with their patients.IMPLICATIONS FOR REHABILITATIONWomen with disabilities are at a heightened risk of intimate partner violence compared to women without disabilities, and are also at risk of sustaining associated chronic injuries and debilitating conditions.Given the high rates of intimate partner violence among individuals with chronic physical disabilities, it is important that physical therapists are able to identify and respond to this issue.Physical therapists possess specialized skills to improve the functioning and overall health of patients, and could assist patients with chronic physical disabilities to escape abusive relationships. Knowledge of intimate partner violence-focused screening, assessment, and trauma-informed practice skills would strengthen skills in this area.

Social network analysis to characterize women victims of violence

BACKGROUND

In Europe, it is estimated that one third of women had experienced at least one physical or sexual violence after their 15. Taking into account the severe health consequences, the Emergency Department (ED), may offer an opportunity to recognize when an aggression is part of the spectrum of violence. This study applies Social Network analysis (SNA) to ED data in the Lazio region with the objective to identify patterns of diagnoses, within all the ED accesses of women experiencing an aggression, that are signals for gender-based violence against women. We aim to develop a risk assessment tool for ED professionals in order to strength their ability to manage victims of violence.

METHODS

A cohort of 124,691 women aged 15-70 with an ED visit for aggression between 2003 and 2015 was selected and, for each woman, the ED history of diagnoses and traumas was reconstructed. SNA was applied on all these diagnoses and traumas, including also 9 specific violence diagnoses. SNA community detection algorithms and network centrality measures were used to detect diagnostic patterns more strongly associated to violence. A logistic model was developed to validate the capability of these patterns to predict the odds for a woman of having an history of violence. Model results were summed up into a risk chart.

RESULTS

Among women experiencing an aggression, SNA identified four communities representing specific violence-related patterns of diagnoses. Diagnoses having a central role in the violence network were alcohol or substance abuse, pregnancy-related conditions and psychoses. These high-risk violence related patterns accounted for at most 20% of our cohort. The logistic model had good predictive accuracy and predictive power confirming that diagnosis patterns identified through the SNA are meaningful in the violence recognition.

CONCLUSIONS

Routine ED data, analyzed using SNA, can be a first-line warning to recognize when an aggression related access is part of the spectrum of gender-based violence against women. Increasing the available number of predictors, such procedures may be proven to support ED staff in identifying early signs of violence to adequately support the victims and mitigate the harms.