Incorporation of Information-Seeking Behavior Into Food Insecurity Research

Trends in 2-1-1 Calls During Public Health Emergencies, Overall and By Gender: Hurricane Irma and COVID-19 in Broward County, Florida

Trends in 2-1-1 calls reflect evolving community needs during public health emergencies (PHEs). The study examined how changes in 2-1-1 call volume after 2 PHEs (Hurricane Irma and the coronavirus disease 2019 [COVID-19] pandemic declaration) in Broward County, Florida, varied by PHE type and whether variations differed by gender and over time. Examining 2-1-1 calls during June to December 2016, June to December 2017, and March 2019 to April 2021, this study measured changes in call volume post-PHEs using interrupted time series analysis. Hurricane Irma and the COVID-19 pandemic were associated with increases in call volume (+81 calls/d and +84 calls/d, respectively). Stratified by gender, these PHEs were associated with larger absolute increases for women (+66 and +57 calls/d vs +15 and +27 calls/d for men) but larger percent increases above their baseline for men (+143% and +174% vs +119% and +138% for women). Calls by women remained elevated longer after Hurricane Irma (5 wk vs 1 wk), but the opposite pattern was observed after the pandemic declaration (8 vs 21 wk). PHEs reduce gender differences in help-seeking around health-related social needs. Findings demonstrate the utility of 2-1-1 call data for monitoring and responding to evolving community needs in the PHE context.

Enhanced women's decision-making power after the Suchana intervention in north-eastern Bangladesh: a cluster randomised pre-post study

OBJECTIVES

Women's decision-making power is a dimension of empowerment and is crucial for better physical and psychosocial outcomes of mothers. Suchana, a large-scale development programme in Bangladesh, actively provided social interventions on behaviour change communication to empower women belonging to the poorest social segment. This paper aims to assess the impact of the Suchana intervention on various indicators related to women's decision-making power.

DESIGN, SETTING AND PARTICIPANTS

The evaluation design was a cluster randomised pre-post design with two cross-sectional surveys conducted among beneficiary women with at least one child aged <23 months from randomly selected poor or very poor beneficiary households in Sylhet division.

OUTCOME MEASURE

Decision-making indicators included food purchases, major household purchases, food preparation, children's healthcare as well as women's own healthcare and visiting family and relatives.

RESULTS

Our findings suggest that 45% of women were able to make decisions on food purchases, 25% on major household purchases, 78% on food preparation, 59% on children's healthcare, 51% on their own healthcare and 43% on visiting family and relatives at baseline in the intervention group, whereas the results were almost the same in the control group. In contrast, at the endline survey, the respective proportions were 75%, 56%, 87%, 80%, 77% and 67% in the intervention group, which were significantly improved when compared with the control group. The prevalence of those outcome indicators were 64%, 41%, 80%, 71%, 68% and 56%, respectively, in the control group. As per multiple logistic regression analysis and structural equation modelling, the Suchana intervention had a substantial influence on the latent variable of women's decision-making power.

CONCLUSION

In terms of food purchases, major household purchases, children's healthcare, their own healthcare and visiting family and relatives, the Suchana intervention favourably influenced the decision-making power of rural women living in a vulnerable region of Bangladesh.

TRIAL REGISTRATION NUMBER

RIDIE-STUDY-ID-5d5678361809b.

Applying a Health Access Framework to Understand and Address Food Insecurity

The prevalence of food insecurity (FI) in United States households has fluctuated between 10% and 15% for the past two decades, well above the Healthy People 2030 goal. FI is associated with increased use of healthcare services and the prevalence of multiple health conditions. Our current efforts to address FI may be limited by measures that lack granularity, timeliness, and consideration of larger food access barriers (e.g., availability of food providers and lack of knowledge regarding where to obtain food). If the Healthy People 2030 goal of reducing FI to 6% is to be met, we need better and faster methods for monitoring and tracking FI in order to produce timely interventions. In this paper, we review key contributors of FI from an access barrier perspective, investigate the limitations of current FI measures, and explore how data from one nonprofit organization may enhance our understanding of FI and facilitate access to resources at the local level. We also propose a conceptual framework illustrating how nonprofit organizations may play an important role in understanding and addressing FI and its intertwined social needs, such as housing and healthcare problems.