Recurrent Violence, Violence with Complications, and Intimate Partner Violence Against Pregnant Women and Breastfeeding Duration

Antepartum Intimate Partner Violence: Development of a Risk Prediction Model

Objectives: To explore socio-behavioral, clinical, and imaging findings associated with antepartum intimate partner violence (IPV) and aid in risk stratification of at-risk individuals. Methods: We analyzed electronic medical records during indexed pregnancies for 108 pregnant patients who self-reported antepartum IPV (cases) and 106 age-matched pregnant patients who did not self-report antepartum IPV (controls). Sociodemographic, clinical, and radiology data were analyzed via chi-squared and Fisher's exact tests with p < 0.05 as the threshold for significance. Stepwise logistic regression was applied to derive a risk prediction model. Results: The proportion of cases reporting emotional IPV (76% vs. 52%) and/or physical IPV (45% vs. 31%) during pregnancy significantly increased from prior to pregnancy. Cases were significantly more likely to report prepregnancy substance use (odds ratio [OR] = 2.60; 95% confidence interval [CI]: 1.13-5.98), sexually transmitted infections (OR = 3.48; 95%CI: 1.64-7.37), abortion (OR = 3.17; 95%CI: 1.79, 5.59), and preterm birth (OR = 5.97; 95%CI: 1.69-21.15). During pregnancy, cases were more likely to report unstable housing (OR = 5.26; 95%CI: 2.67-10.36), multigravidity (OR = 2.83; 95%CI: 1.44-5.58), multiparity (OR = 3.75; 95%CI: 1.72-8.20), anxiety (OR = 3.35; 95%CI: 1.85-6.08), depression (OR = 5.58; 95%CI: 3.07-10.16), substance use (OR = 2.92; 95%CI: 1.28-6.65), urinary tract infection (UTI) (OR = 3.26; 95%CI: 1.14-9.32), intrauterine growth restriction (OR = 10.71; 95%CI: 1.35-85.25), and cesarean delivery (OR = 2.25; 95%CI: 1.26-4.02). Cases had significantly more OBGYN abnormalities on imaging and canceled more radiological studies (OR = 5.31). Logistic regression found housing status, sexually transmitted infection history, preterm delivery history, abortion history, depression, and antepartum UTI predictive of antepartum IPV. The risk prediction model achieved good calibration with an area under the curve of 0.79. Conclusions: This study identifies significant disparities among patients experiencing antepartum IPV, and our proposed risk prediction model can inform risk assessment in this setting.

Intimate partner violence during pregnancy and time to return to sexual activity after childbirth: analysis of the BRISA prenatal cohort

This study aimed to analyze whether there is an association between intimate partner violence during pregnancy and time to return to sexual activity after childbirth in the BRISA cohort in São Luís, Maranhão State, Brazil, between 2010 and 2013. This is a longitudinal study conducted with 665 women. Intimate partner violence during pregnancy was measured using an instrument created and validated by the World Health Organization to measure violence against women. Time to return to sexual activity after childbirth was investigated using a structured questionnaire. Logistic regression models were used to analyze whether there is an association between intimate partner violence during pregnancy and time to return to sexual activity after childbirth. The prevalence of violence by an intimate partner during pregnancy was 24.06%. The prevalence of women who returned to sexual activity within 3 months after childbirth was 67.96%. When analyzing the association between exposure and outcome, no association was found in the crude model (OR = 0.88; 95%CI: 0.60-1.30), nor in the adjusted model (OR = 1.00; 95%CI: 0.61-1.63). The study results highlight the importance of providing comprehensive care to women, considering both physical and psychological aspects, since violence has a significant impact on several aspects of women's lives.

Global, regional, and national burdens of interpersonal violence in young women aged 10-24 years from 1990 to 2019: a trend analysis based on the global burden of disease study 2019

Background

Interpersonal violence (IPV) against young women, including physical and sexual violence, poses a major threat to public health. We analyzed global, regional and national trends in violence against females aged 10-24 years from 1990 to 2019.

Methods

We extracted age-standardized prevalence rates (ASPRs) of physical violence by firearm (PVF), physical violence by other means (PVOM), physical violence by sharp object (PVSO), and sexual violence (SV) from the Global Burden of Diseases, Injuries, and Risk Factors Study 2019. Joinpoint regression analysis calculated annual and average annual percentage changes (AAPCs) in ASPRs.

Results

Globally, the ASPRs of the four measures of IPV decreased between 1990 and 2019, with the steepest declines between 2000 and 2009, except for SV, which increased slightly. However, the ASPRs of PVF and PVOM increased slightly between 2010 and 2019. Regionally, PVF prevalence declined most in East Asia (-0.9505, -1.0011 to -0.8975), South Asia (-0.277, -0.3089 to -0.244) and Latin America but PVOM prevalence increased in Oceania (0.6275, 0.6036 to 0.6498) and SV prevalence increased in Caribbean (0.4267, 0.4069 to 0.4495). Nationally, PVF prevalence decreased most in Thailand (-2.4031, -2.4634 to -2.3328) but increased most in Libya (6.8143, 6.6194 to 7.0113). SV prevalence increased most in Oman (0.4561, 0.4338 to 0.478) and the largest increase in Disability-adjusted life years (DALYs) from PVOM was observed in Botswana (6.2725, 6.0951 to 6.4082). DALYs showed similar trends.

Conclusion

While global declines over 30 years are encouraging, IPV against young women persists. Urgent, tailored approaches across sectors are critical to curb drivers of violence against young women, including poverty, inequality and sociocultural attitudes. High-quality data and in-depth analyses can inform locally-relevant solutions. Overall, intensified political will and resource investment are needed to overcome this pervasive human rights violation.

Insights from linking police domestic abuse data and health data in South Wales, UK: a linked routine data analysis using decision tree classification

BACKGROUND

Exposure to domestic abuse can lead to long-term negative impacts on the victim's physical and psychological wellbeing. The 1998 Crime and Disorder Act requires agencies to collaborate on crime reduction strategies, including data sharing. Although data sharing is feasible for individuals, rarely are whole-agency data linked. This study aimed to examine the knowledge obtained by integrating information from police and health-care datasets through data linkage and analyse associated risk factor clusters.

METHODS

This retrospective cohort study analyses data from residents of South Wales who were victims of domestic abuse resulting in a Public Protection Notification (PPN) submission between Aug 12, 2015 and March 31, 2020. The study links these data with the victims' health records, collated within the Secure Anonymised Information Linkage databank, to examine factors associated with the outcome of an Emergency Department attendance, emergency hospital admission, or death within 12 months of the PPN submission. To assess the time to outcome for domestic abuse victims after the index PPN submission, we used Kaplan-Meier survival analysis. We used multivariable Cox regression models to identify which factors contributed the highest risk of experiencing an outcome after the index PPN submission. Finally, we created decision trees to describe specific groups of individuals who are at risk of experiencing a domestic abuse incident and subsequent outcome.

FINDINGS

After excluding individuals with multiple PPN records, duplicates, and records with a poor matching score or missing fields, the resulting clean dataset consisted of 8709 domestic abuse victims, of whom 6257 (71·8%) were female. Within a year of a domestic abuse incident, 3650 (41·9%) individuals had an outcome. Factors associated with experiencing an outcome within 12 months of the PPN included younger victim age (hazard ratio 1·183 [95% CI 1·053-1·329], p=0·0048), further PPN submissions after the initial referral (1·383 [1·295-1·476]; p<0·0001), injury at the scene (1·484 [1·368-1·609]; p<0·0001), assessed high risk (1·600 [1·444-1·773]; p<0·0001), referral to other agencies (1·518 [1·358-1·697]; p<0·0001), history of violence (1·229 [1·134-1·333]; p<0·0001), attempted strangulation (1·311 [1·148-1·497]; p<0·0001), and pregnancy (1·372 [1·142-1·648]; p=0·0007). Health-care data before the index PPN established that previous Emergency Department and hospital admissions, smoking, smoking cessation advice, obstetric codes, and prescription of antidepressants and antibiotics were associated with having a future outcome following a domestic abuse incident.

INTERPRETATION

The results indicate that vulnerable individuals are detectable in multiple datasets before and after involvement of the police. Operationalising these findings could reduce police callouts and future Emergency Department or hospital admissions, and improve outcomes for those who are vulnerable. Strategies include querying previous Emergency Department and hospital admissions, giving a high-risk assessment for a pregnant victim, and facilitating data linkage to identify vulnerable individuals.

FUNDING

National Institute for Health Research.

Physical violence against women by their intimate partner during pregnancy and its relationship with breastfeeding

Abstract Objectives: to estimate the association between physical violence against women by their intimate partner during pregnancy and breastfeeding. Methods: the data source is the 2010 National Demographic and Health Survey (DHS) conducted in Colombia, and 11,416 mother-child dyads were analysed. The relationship between physical violence against women by their partner during pregnancy and breastfeeding indicators was carried out using the weighted propensity score from the Inverse Probability of Treatment Weighting (IPTW). Variables for adjustment were selected through the Directed Acyclic Diagram (DAG) and performed a sensitivity analysis to identify the strength of hidden bias. Results: according to the data, 6.4% (730) of the women suffered physical violence by their partner during their pregnancy. The median time of exclusive breastfeeding was 1.0 month. No statistically significant relationship was observed with any of the breastfeeding indicators analysed: exclusive breastfeeding (OR=1.17; CI95%=0.82-1.67); breastfeeding at any time (OR=1.61; CI95%=0.58-2.60); and initiation of breastfeeding (OR=1.07; CI95%=0.74-1.2) Conclusion: although the association between violence against women committed during pregnancy and breastfeeding indicators was not found, the suboptimal breastfeeding practices and high prevalence of violence against women by the partner are two major public health issues in Colombia. Prenatal care professionals can change this scenario by identifying women exposed to intimate partner violence and offering tailored support for breastfeeding practices.

Intimate partner violence during pregnancy and maternal and child health outcomes: a scoping review of the literature from low-and-middle income countries from 2016 - 2021

BACKGROUND

Intimate partner violence (IPV) during pregnancy is significantly associated with negative outcomes for both mother and child. Current evidence indicates an association between low levels of social support and IPV, however there is less evidence from low-and-middle income countries (LMIC) than high-income countries. Globally, the COVID-19 pandemic has radically altered how women can access social support. Hence since 2020, studies investigating IPV and pregnancy have occurred within the changing social context of the pandemic.

OBJECTIVE

This scoping review summarizes the evidence from LMICs about the effects of IPV during pregnancy on maternal and child health. The review includes the impact of the COVID-19 pandemic on social support as mentioned in studies conducted since 2020.

DESIGN

Library databases were used to identify papers from 2016 to 2021. These studies reported the maternal and child health outcomes of IPV during pregnancy, and described how social support during pregnancy, and the COVID-19 pandemic, were associated with rates of IPV during pregnancy. Observational study designs, qualitative and mixed methods studies were included.

RESULTS

Twenty - six studies from 13 LMICs were included. Half (n = 13) were cross sectional studies which only collected data at one time-point. IPV during pregnancy was significantly associated with higher odds of postpartum depression, low birth weight, preterm birth and less breastfeeding in the year after birth. Lower levels of social support increased the odds of experiencing IPV during pregnancy, whilst higher levels of social support reduced antenatal anxiety and depression in women experiencing IPV during pregnancy. Of the four studies that investigated IPV during pregnancy throughout the COVID-19 pandemic, only one compared prevalence before and after the pandemic and unexpectedly reported a lower prevalence.

CONCLUSIONS

Further research on the impact of IPV during pregnancy on maternal and child outcomes in LMICs is required, especially evidence from longitudinal studies investigating a wider range of outcomes. To date, there is limited evidence on the impact of the COVID-19 pandemic on IPV during pregnancy in LMICs, and this should be prioritized as the pandemic continues to affect women's access to social support globally.

Giving women WOICE postpartum: prevalence of maternal morbidity in high-risk pregnancies using the WHO-WOICE instrument

Background

There are no accurate estimates of the prevalence of non-severe maternal morbidities. Given the lack of instruments to fully assess these morbidities, the World Health Organization (WHO) developed an instrument called WOICE. We aimed to evaluate the prevalence of non-severe maternal morbidities in puerperal women and factors associated to impaired clinical, social and mental health conditions.

Method

A cross-sectional study with postpartum women at a high-risk outpatient clinic in southeast Brazil, from November 2017 to December 2018. The WOICE questionnaire included three sections: the first with maternal and obstetric history, sociodemographic data, risk and environment factors, violence and sexual health; the second considers functionality and disability, general symptoms and mental health; and the third includes data on physical and laboratory tests. Data collection was supported by Tablets with REDCAP software. Initially, a descriptive analysis was performed, with general prevalence of all variables contained in the WOICE, including scales on anxiety and depression (GAD-7 and PHQ-9- impaired if ≥10), functionality (WHODAS- high disability scores when ≥37.4) and data on violence and substance use. Subsequently, an evaluation of cases with positive findings was performed, with a Poisson regression to investigate factors associated to impaired non-clinical and clinical conditions.

Results

Five hundred seventeen women were included, majority (54.3%) multiparous, between 20 and 34 years (65.4%) and with a partner (75,6%). Over a quarter had (26.2%) preterm birth. Around a third (30.2%) reported health problems informed by the physician, although more than 80% considered having good or very good health. About 10% reported any substance use and 5.9% reported exposure to violence. Anxiety was identified in 19.8% of cases, depression in 36.9% and impaired functioning in 4.4% of women. Poisson regression identified that poor overall health rating was associated to increased anxiety/depression and impaired functioning. Having a partner reduced perception of women on the presence of clinical morbidities.

Conclusion

During postpartum care of a high-risk population, over one third of the considered women presented anxiety and depression; 10% reported substance use and around 6% exposure to violence. These aspects of women’s health need further evaluation and specific interventions to improve quality of care.