A conditional cash transfer and Women's empowerment: Does Bolsa Familia Influence intimate partner violence?

Income Segregation, Conditional Cash Transfers, and Breast Cancer Mortality Among Women in Brazil

Importance

Women living in income-segregated areas are less likely to receive adequate breast cancer care and access community resources, which may heighten breast cancer mortality risk.

Objective

To investigate the association between income segregation and breast cancer mortality and whether this association is attenuated by receipt of the Bolsa Família program (BFP), the world's largest conditional cash-transfer program.

Design, Setting, and Participants

This cohort study was conducted using data from the 100 Million Brazilian Cohort, which were linked with nationwide mortality registries (2004-2015). Data were analyzed from December 2021 to June 2023. Study participants were women aged 18 to 100 years.

Exposure

Women's income segregation (high, medium, or low) at the municipality level was obtained using income data from the 2010 Brazilian census and assessed using dissimilarity index values in tertiles (low [0.01-0.25], medium [0.26-0.32], and high [0.33-0.73]).

Main Outcomes and Measures

The main outcome was breast cancer mortality. Mortality rate ratios (MRRs) for the association of segregation with breast cancer deaths were estimated using Poisson regression adjusted for age, race, education, municipality area size, population density, area of residence (rural or urban), and year of enrollment. Multiplicative interactions of segregation and BFP receipt (yes or no) in the association with mortality (2004-2015) were assessed.

Results

Data on 21 680 930 women (mean [SD] age, 36.1 [15.3] years) were analyzed. Breast cancer mortality was greater among women living in municipalities with high (adjusted MRR [aMRR], 1.18; 95% CI, 1.13-1.24) and medium (aMRR, 1.08; 95% CI, 1.03-1.12) compared with low segregation. Women who did not receive BFP had higher breast cancer mortality than BFP recipients (aMRR, 1.17; 95% CI, 1.12-1.22). By BFP strata, women who did not receive BFP and lived in municipalities with high income segregation had a 24% greater risk of death from breast cancer compared with those living in municipalities with low income segregation (aMRR, 1.24: 95% CI, 1.14-1.34); women who received BFP and were living in areas with high income segregation had a 13% higher risk of death from breast cancer compared with those living in municipalities with low income segregation (aMRR, 1.13; 95% CI, 1.07-1.19; P for interaction = .008). Stratified by the amount of time receiving the benefit, segregation (high vs low) was associated with an increase in mortality risk for women receiving BFP for less time but not for those receiving it for more time (<4 years: aMRR, 1.16; 95% CI, 1.07-1.27; 4-11 years: aMRR, 1.09; 95% CI, 1.00-1.17; P for interaction <.001).

Conclusions and Relevance

These findings suggest that place-based inequities in breast cancer mortality associated with income segregation may be mitigated with BFP receipt, possibly via improved income and access to preventive cancer care services among women, which may be associated with early detection and treatment and ultimately reduced mortality.

Do health sector measures of violence against women at different levels of severity correlate? Evidence from Brazil

Objective

To evaluate if characteristics of reports of violence against women at different levels of severity are similar and to test if their prevalence is correlated at the municipal level.

Methods

I use data from women ages 15–49 who were killed by homicide in Brazil’s national death registry (N = 14,373), were hospitalized for aggression (N = 14,701), or were included in the medical mandatory reports of incidents of violence against women (N = 42,134) between 2011 and 2016 in select municipalities. I provide national level descriptive statistics from 2016 contrasting distributions of victims (age, education, and race) and distributions of the characteristics of the incidents (location and time of day). Then, for 63 municipalities with a high number of violent incidents, I calculate the correlation coefficients between measures of violence against women using quarterly data from 2011 to 2016. I use multiple regression of municipal characteristics at baseline to examine which factors (poverty, spending, health, and civic engagement) predict the correlation.

Results

Victim characteristics and incident characteristics are similar across the measures of violence at the national level. Despite these aggregate similarities, correlations at the municipal level are quite varied, ranging from − 0.69 to 0.83. I find no municipal characteristics that consistently predict these correlation coefficients.

Conclusions

Despite some similarities at an aggregate level, these measures of violence against women do not have consistent patterns of correlation at the municipality level. Measures of severe levels of violence against women are not good proxies for incidence of violence at less severe physical levels. Lack of correlations could be due to differences in reporting, but may also be due to differences in underlying processes that share similar victims and event characteristics.

The Role of Income on the Relationship Between the Brazilian Cash Transfer Program (Programa Bolsa Família) and Intimate Partner Violence: Evidence From a Multigroup Path Analysis

Several initiatives are being proposed to reduce the incidence of intimate partner violence (IPV) worldwide. Actions aimed at women's economic empowerment through income transfer programs are one of those. Still, the literature on their impact is scarce and controversial. This study attempts to shed some light on this matter assessing whether the Brazilian Conditional Cash Transfer Program (Programa Bolsa Família [PBF]) is a protective factor for psychological and physical IPV against women in families of different levels of income. This is a cross-sectional, household-based study conducted in the city of Duque de Caxias, Rio de Janeiro, Brazil. The sample comprised 807 women reporting some intimate relationship in the 12 months before the interview. Information on IPV and participation on PBF were collected through face-to-face interviews using the Revised Conflict Tactics Scales (CTS2) and a direct question, respectively. A multigroup path analysis was applied to study the relations between PBF and psychological and physical IPV, considering confounding factors, some mediators, and moderation by income. The prevalence of both psychological and physical IPV are high, be it in the poverty and the extreme poverty income strata (psychological IPV: 66.2% and 72.7%, respectively; physical IPV: 26.2% and 40.6%, respectively). Results also showed a positive and direct association between PBF and psychological violence, yet only among families above the poverty line (β = .287, p = .001). The same could be found regarding physical violence, but the effect of PBF was indirect, mediated by psychological violence (β = .220, p = .003). Findings suggest that actions aimed at preventing IPV should go hand in hand with the PBF and, perhaps, other income transfer programs. This is even more relevant in relation to the less extreme poverty group where cash transfer may further raise conflicts and violence.

Testing the Economic Independence Hypothesis: Union Formation Among Single Mothers in Chile

Despite the increasing proportion of single-mother families, the literature on union formation among unpartnered parents in Latin America is scant. Using a sample from a Chilean longitudinal survey ( N = 3,318), we estimated regression models to test associations between single mothers’ economic resources in 2010 and coresidence with the biological father of their children in 2012. We also examined whether these associations differed in subgroups with higher rates of labor market participation. We found that mothers’ paid work was not associated with union formation. Receiving government benefits and living with a parent were associated with lower probability of coresidence with the biological father, even among the most advantaged subgroups. We conclude that in contexts in which most mothers of young children are not doing paid work, economic resources coming from government and extended family may be more consequential than earnings’ potential in influencing single mothers’ union formation behavior.

'Poverty can break a home': Exploring mechanisms linking cash plus programming and intimate partner violence in Ghana

A growing body of research in West Africa and globally shows that cash transfers can decrease intimate partner violence (IPV). The purpose of this study was to explore how the government of Ghana's Livelihood Empowerment Against Poverty (LEAP) 1000 program, an unconditional cash transfer plus health insurance premium waiver targeted at pregnant women and women with young children, influenced IPV experiences. Existing program theory hypothesizes three pathways through which cash transfers influence IPV, including: 1) increased economic security and emotional wellbeing; 2) reduced intra-household conflict; and 3) increased women's empowerment. Informed by this theory, we conducted qualitative in-depth interviews with women in northern Ghana (n = 30) who were or had been beneficiaries of LEAP 1000 and had reported declines in IPV in an earlier impact evaluation. We used narrative and thematic analytic techniques to examine these pathways in the context of gender norms and household dynamics, as well as a fourth potential pathway focused on interactions with healthcare providers. Overall, the most prominent narrative was that poverty is the main determinant of physical IPV and that by reducing poverty, LEAP 1000 reduced conflict and violence in households and communities and improved emotional wellbeing. Participant narratives also supported pathways of reduced intra-household conflict and increased empowerment, as well as interplay between these three pathways. However, participants also reflected that cash transfers did not fundamentally change gender norms or reduce gender-role strain in a context of ongoing economic insecurity, which could limit the gender transformative potential and sustainability of IPV reductions. Finally, while health insurance increased access to healthcare, local norms, shame, fear, and minimal provider screening deterred IPV disclosure to healthcare providers. Additional research is needed to explore interplay between pathways of impact across programs with different design features and implementation contexts to continue informing effective programming to maximize impact.

The Revolution Will Be Hard to Evaluate: How Co-Occurring Policy Changes Affect Research on the Health Effects of Social Policies

Extensive empirical health research leverages variation in the timing and location of policy changes as quasi-experiments. Multiple social policies may be adopted simultaneously in the same locations, creating co-occurrence that must be addressed analytically for valid inferences. The pervasiveness and consequences of co-occurring policies have received limited attention. We analyzed a systematic sample of 13 social policy databases covering diverse domains including poverty, paid family leave, and tobacco use. We quantified policy co-occurrence in each database as the fraction of variation in each policy measure across different jurisdictions and times that could be explained by covariation with other policies. We used simulations to estimate the ratio of the variance of effect estimates under the observed policy co-occurrence to variance if policies were independent. Policy co-occurrence ranged from very high for state-level cannabis policies to low for country-level sexual minority-rights policies. For 65% of policies, greater than 90% of the place-time variation was explained by other policies. Policy co-occurrence increased the variance of effect estimates by a median of 57-fold. Co-occurring policies are common and pose a major methodological challenge to rigorously evaluating health effects of individual social policies. When uncontrolled, co-occurring policies confound one another, and when controlled, resulting positivity violations may substantially inflate the variance of estimated effects. Tools to enhance validity and precision for evaluating co-occurring policies are needed.

What to Do When Everything Happens at Once: Analytic Approaches to Estimate the Health Effects of Co-Occurring Social Policies

Social policies have great potential to improve population health and reduce health disparities. Increasingly, those doing empirical research have sought to quantify the health effects of social policies by exploiting variation in the timing of policy changes across places. Multiple social policies are often adopted simultaneously or in close succession in the same locations, creating co-occurrence that must be handled analytically for valid inferences. Although this is a substantial methodological challenge for researchers aiming to isolate social policy effects, only in a limited number of studies have researchers systematically considered analytic solutions within a causal framework or assessed whether these solutions are being adopted. We designated 7 analytic solutions to policy co-occurrence, including efforts to disentangle individual policy effects and efforts to estimate the combined effects of co-occurring policies. We used an existing systematic review of social policies and health to evaluate how often policy co-occurrence is identified as a threat to validity and how often each analytic solution is applied in practice. Of the 55 studies, only in 17 (31%) did authors report checking for any co-occurring policies, although in 36 studies (67%), at least 1 approach was used that helps address policy co-occurrence. The most common approaches were adjusting for measures of co-occurring policies; defining the outcome on subpopulations likely to be affected by the policy of interest (but not other co-occurring policies); and selecting a less-correlated measure of policy exposure. As health research increasingly focuses on policy changes, we must systematically assess policy co-occurrence and apply analytic solutions to strengthen studies on the health effects of social policies.

Interventions for reducing violence against children in low- and middle-income countries: An evidence and gap map

BACKGROUND

More than half of the children in the world experience some form of interpersonal violence every year. As compared with high-income countries, policy responses in low- and middle-income countries (LMICs) are limited due to resource constraints and paucity of evidence for effective interventions to reduce violence against children in their own contexts, amongst other factors.

OBJECTIVES

The aim of this evidence and gap map (EGM) is to provide an overview of the existing evidence available and to identify gaps in the evidence base on the effectiveness of interventions to reduce violence against children in LMICs. This report covers evidence published in English; a follow-up study is under preparation focusing on evidence in five additional languages-Arabic, Chinese, French, Portuguese and Spanish.

METHODS

The intervention-outcome framework for this EGM is based on INSPIRE-Seven Strategies for Ending Violence against Children, published by WHO and other partners in 2016. The seven strategies include implementation and enforcement of laws; norms and values, safe environment; parent-child and caregiver support; income and economic strengthening; response and support services; education and life skills. The search included both academic and grey literature available online. We included impact evaluations and systematic reviews that assessed the effectiveness of interventions to reduce interpersonal violence against children (0-18 years) in LMICs (World Bank, 2018b). Interventions targeting subpopulation of parents, teachers and caregivers of 0-18 years' age group were also included. A critical appraisal of all included studies was carried out using standardised tools.

RESULTS

The map includes 152 studies published in English of which 55 are systematic reviews and 97 are impact evaluations. Most studies in the map are from Sub-Saharan Africa. Education and life skills are the most widely populated intervention area of the map followed by income and economic strengthening interventions. Very few studies measure impact on economic and social outcomes, and few conduct cost-analysis.

CONCLUSION

More studies focusing on low-income and fragile and conflict-affected settings (FCS) and studying and reporting on cost-analysis are required to address gaps in the evidence. Most interventions covered in the literature focused on addressing a wide range of forms of violence and harm, which limited understanding of how and for whom the interventions work in a given context, for specific forms of violence. More impact evaluation studies are required that assess specific forms of violence, gendered effects of interventions and on diverse social groups in a given context, utilising mixed methods.