The COVID-19 pandemic exacerbated the vulnerability of adolescents and young adults (AYAs) who face economic disadvantage, depend on social safety net resources, have politically targeted identities, are geopolitically displaced, and/or are racially or ethnically marginalized. A rapid change in social safety net policies has impacts that reverberate throughout interrelated domains of AYA health, especially for vulnerable AYAs. The authors analyze policy-related changes in mental health, climate change, and bodily autonomy to offer a paradigm for an equitable path forward.

UNASSIGNED: The U.S. safety net, which provides critical aid to households with low income, is composed of a patchwork of separate programs, and many people with low income benefit from accessing <1 program. However, little is known about multiprogram take-up, that is, participation conditioned on eligibility. This study examined individual and multiprogram take-up patterns and sociodemographic factors associated with multiprogram take-up of U.S. safety net programs.
UNASSIGNED: The Assessing California Communities\' Experiences with Safety Net Supports study interviewed Californians and reviewed their 2019 tax forms between August 2020 and May 2021. Take-up of safety net programs was calculated among eligible participants (n=365), including the Earned Income Tax Credit; Supplemental Nutrition Assistance Program; the Special Supplemental Nutrition Program for Women, Infants, and Children; and Medicaid. Multivariable regressions identified sociodemographic factors associated with take-up of multiple programs.
UNASSIGNED: Take-up was highest for Medicaid (90.6%) and lowest for Supplemental Nutrition Assistance Program (57.5%). Among people who received benefits from at least 1 other program, take-up ranged from 81.7% to 84.8% for the Earned Income Tax Credit; 54.4%-62.0% for Supplemental Nutrition Assistance Program; 74.3%-80.1% for Special Supplemental Nutrition Program for Women, Infants, and Children; and 89.7%-98.1% for Medicaid. Having a lower income and being younger were associated with concurrent take-up of Supplemental Nutrition Assistance Program and Special Supplemental Nutrition Program for Women, Infants, and Children. Among Supplemental Nutrition Assistance Program and Special Supplemental Nutrition Program for Women, Infants, and Children recipients, having higher income, being older, and being primarily English speaking were associated with Earned Income Tax Credit take-up.
UNASSIGNED: Individual and multiprogram take-up vary between programs and by sociodemographic factors. Findings suggest opportunities to increase take-up of potentially synergistic programs by improving cross-program coordination, data sharing, and targeted recruitment of underenrolled subgroups (Supplemental Nutrition Assistance Program and Special Supplemental Nutrition Program for Women, Infants, and Children).

The Earned Income Tax Credit (EITC) is the largest cash-based means-tested transfer program in the United States. In 2021, 31 million households received $64 billion from the federal EITC. Twenty-eight states also offer eligible taxpayers a supplement to the federal program. An estimated one-fifth of eligible households fail to claim the federal credit, but little is known about take-up of these state programs. We use administrative data from California on the population of Supplemental Nutrition Assistance Program (SNAP) recipients linked to state tax records to estimate the number of households who are eligible for California\'s supplement to the federal EITC (CalEITC) but do not claim it. We find that over 400,000 households who received SNAP benefits and who were eligible for the state EITC in 2017 did not receive the credit. This includes approximately 40,000 eligible households who claimed the federal EITC but not the state credit; nearly 98,000 eligible households who filed a state tax return but did not claim the state or federal credit; and roughly 270,000 eligible households who did not file a state tax return. The corresponding take-up rate for the CalEITC among eligible SNAP-enrolled households was 54%. Altogether, these households left a total of $71 million in state EITC funds on the table. If received, these credits would have increased incomes among these households by 2.7% and increased total state EITC outlays by 20%.

•Integration across public benefit programs could streamline access to services.•Modernized technology and shared missions among agencies promote integration.•Limited financial resources and insufficient guidance hinder integration.•State agencies view integration as a way to create human-centered experiences.•Additional resources from federal agencies could help establish greater integration.

Chronic illness with disability and its out-of-pocket expenditure (OOPE) remains a big financial challenge in Bangladesh. The purpose of this study was to explore how religious minority problem and coastal climate crisis with other common risk factors determined chronic illness with a disability and its financial burden in Bangladesh. Existing policy responses, especially, social safety net programs and their governance were analyzed for suggesting better policy options that avoid distress financing.
Binary logistic and multiple linear regression models were respectively used to identify the factors of disability, and high OOPE based on Bangladesh Household Income and Expenditure Survey 2016 data.
We found that disable people had relatively higher OOPE than their non-disabled counterparts and this OOPE further surges when the number of disabilities increases. In addition to the common factors, the novelty of our findings indicated that the religious minority problem as well as the coastal climate crisis have bearing on the disability burden in Bangladesh. The likelihood of having a chronic illness with a disability was 13.2% higher for the religious minorities compared to the majorities (Odds ratio (OR): 1.132, 95% confidence interval (CI): 1.033-1.241) and it was 21.6% higher for the people who lived in the exposed coast than those who lived in the non-exposed area (OR: 1.216, 95% CI: 1.107-1.335). With disabilities, people from the exposed coast incurred higher OOPE than those from the non-exposed areas. Although receiving assistance from social safety net programs (SSNPs) seemed to reduce their high OOPE and financial distress such as selling assets and being indebted, the distribution was not equitably and efficiently managed to confirm the process of inclusion leakage-free. On average, those who enrolled from the minority group and the exposed coast paid the relatively higher bribes.
To reduce burden, the government should strengthen and specify the existing SSNPs more for disable people, especially from the minority group and the exposed coast, and ensure the selection process more inclusive and leakage-free.

COVID-19 has stretched the U.S. social safety net and prompted federal legislation designed to ameliorate the pandemic\'s health and economic impacts. We surveyed a nationally representative cohort of 1222 U.S. adults in April 2020 and November 2020 to evaluate changes in public opinion about 11 social safety net policies and the role of government over the course of the pandemic. A majority of U.S. adults supported six policies at both time points, including policies guaranteeing two weeks of paid sick leave; enacting universal health insurance; increasing the federal minimum wage; and increasing government spending on construction projects, business tax credits, and employment education and training. From April to November 2020, public support was stable for nine of the 11 policies but declined nearly 10 percentage points for policies guaranteeing two weeks paid sick leave (from 76% support in April 2020 to 67% support in November 2020) and extending unemployment insurance benefits (51% to 42%). Declines in support for these two policies were concentrated among those with higher incomes, more education, in better health status, the employed, and those with health insurance. The share of respondents believing in a strong role of government also declined from 33% in April to 26% in November 2020 (p > 0.05). Despite these shifts, we observed consistent majority support for several policies enacted during the pandemic, including guaranteeing paid sick leave and business tax credits, as well as employment-related policies.

Whereas using artificial intelligence (AI) to predict natural hazards is promising, applying a predictive policing algorithm (PPA) to predict human threats to others continues to be debated. Whereas PPAs were reported to be initially successful in Germany and Japan, the killing of Black Americans by police in the US has sparked a call to dismantle AI in law enforcement. However, although PPAs may statistically associate suspects with economically disadvantaged classes and ethnic minorities, the targeted groups they aim to protect are often vulnerable populations as well (e.g., victims of human trafficking, kidnapping, domestic violence, or drug abuse). Thus, determining how to enhance the benefits of PPA while reducing bias through better management is important. In this paper, we propose a policy schema to address this issue. First, after clarifying relevant concepts, we examine major criticisms of PPAs and argue that some of them should be addressed. If banning AI or making it taboo is an unrealistic solution, we must learn from our errors to improve AI. We next identify additional challenges of PPAs and offer recommendations from a policy viewpoint. We conclude that the employment of PPAs should be merged into broader governance of the social safety net and audited publicly by parliament and civic society so that the unjust social structure that breeds bias can be revised.

Combining agriculture with behaviour change communication and other nutrition-sensitive interventions could improve feeding practices to reduce maternal and child undernutrition. Such integrated intervention requires rigorous design and an appropriate implementation strategy to generate an impact. We assessed feasibility and acceptability of an intervention package that combines nutrition counselling, counselling and support for home-gardening, and unconditional cash transfers delivered to women on a mobile platform for improving maternal and child nutrition behaviours among low-income families in rural Bangladesh. We used mixed-methods including in-depth interviews with women (20), key-informant interviews with project workers (6), and a cross sectional survey of women (60). Women well-accepted the intervention and reported to be benefited by acquiring new skills and information on home gardening and nutrition. They established homestead gardens of seasonal vegetables successfully and were able to find a solution for major challenges. All women received the cash transfer. Ninety-one percent of women spent the cash for buying foods, 20% spent it on purchasing seeds or fertilizers and 57% used it for medical and livelihood purchases. Project staff and mobile banking agent reported no difficulty in cash transfer. Combining nutrition-specific and -sensitive interventions is a feasible and acceptable approach. Using mobile technologies can provide additional benefits for the intervention to reach the disadvantage families in rural settings.

BACKGROUND: Food security is defined as physical and economic access to sufficient food to meet the dietary requirements for a productive and healthy life. Evidence from the literature suggests that >800 million people worldwide are food insecure. Vulnerable Group Development (VGD) is the largest social safety net of the Government of Bangladesh targeting ultra-poor women to end hunger, achieve food security, improve nutrition, and promote sustainable agriculture.
OBJECTIVE: The objective of this study is to explore the factors associated with food security among VGD women in Bangladesh.
METHODS: A total of 870 women (435/group) participated in the baseline survey and another 800 women (400/group) participated in the endline survey. Participants in the intervention group received monthly rations of 30 kg fortified rice (FFR) and the control group received 30 kg of non-FFR for 12 mo. Multiple logistic regression analysis was used to establish both crude and confounder-adjusted relations between the primary outcome and response variables. Written consent was proved by study participants. This study (PR-14091) was approved by the Research Review Committee and Ethical Review Committee.
RESULTS: Severe food insecurity in the endline survey decreased from ∼50% to 6.3% in both groups. The hunger scale also improved between the baseline and endline survey. More than 97% of respondents at endline reported no hunger compared with 80% at baseline; only 3% of women in both groups reported moderate hunger at endline. Multivariable regression model showed that ownership of a house and land for agriculture, wealth index (richest quintile), and absence of fever were significantly associated with food security (P < 0.05).
CONCLUSIONS: Our analysis shows that the VGD rice distribution program significantly improves the food security status of vulnerable women; however, ownership of a house and land for agriculture were the most significant factors associated with household food security in VGD program areas of Bangladesh.

The US Department of Agriculture (USDA) Supplemental Nutrition Assistance Program (SNAP) is the cornerstone of the US nutrition safety net. Each month, SNAP provides assistance to 40 million low-income Americans-nearly half of them children. A number of changes could strengthen the public health impacts of SNAP. This review first presents a framework describing the mechanisms through which SNAP policy can influence public health, particularly by affecting the food security, the diet quality, and, subsequently, the health of SNAP participants. We then discusspolicy opportunities with the greatest potential to strengthen the public health impacts of SNAP, organized into three areas: (a) food production and distribution, (b) benefit allocation, and (c) eligibility and enrollment. For each section, we describe current policy and limitations of the status quo, suggest evidence-based opportunities for policy change to improve public health, and identify important areas for future research.