Digital Strategies to Improve Food Assistance in Disasters: A Scoping Review

Fresh Shelves, Healthy Pantries: A Pilot Intervention Trial in Baltimore City Food Pantries

The objective of this study was to evaluate the impact of a multi-modal pilot intervention on the stocking and acquisition of healthy foods in urban food pantries. An intervention that consisted of three 8-week phases, each focused on promotion of one food group: (1) lean & low-sodium proteins; (2) fruits & vegetables; and (3) healthy carbohydrates was conducted in 3 intervention and 4 comparison food pantries. Food stocking variety scores measured changes in the stocking of promoted healthful foods at pantries. Food Assortment Scoring Tool (FAST) scores measured healthfulness of client bags. Intervention and comparison pantries showed an increase during the study in the total variety score for promoted options, with no significant differences between groups. Mean healthfulness scores for intervention client bags (n = 34) significantly increased from 58.2 to 74.9 (p < 0.001). This pilot trial identified logistically feasible strategies to promote healthy options effectively in food pantries, even in pantries with limited resources.

Moving Food Assistance into the Digital Age: A Scoping Review

One of the most basic needs globally, food assistance refers to the multitude of programs, both governmental and non-governmental, to improve food access and consumption by food-insecure individuals and families. Despite the importance of digital and mobile Health (mHealth) strategies in food insecurity contexts, little is known about their specific use in food assistance programs. Therefore, the purpose of this study was to address that gap by conducting a scoping review of the literature. Keywords were defined within the concepts of food assistance and digital technology. The search included relevant peer-reviewed and grey literature from 2011 to 2021. Excluded articles related to agriculture and non-digital strategies. PRISMA guidelines were followed to perform a partnered, two-round scoping literature review. The final synthesis included 39 studies of which most (84.6%) were from the last five years and United States-based (93.2%). The top three types of articles or studies included text and opinion, qualitative research, and website, application, or model development (17.9%). The top three types of digital tools were websites (56.4%), smartphone applications (20.5%), and chatbots (5.1%). Nineteen digital features were identified as desirable. Most tools included just one or two features. The most popular feature to include was online shopping (n = 14), followed by inventory management, and client tracking. Digital tools for individual food assistance represent an opportunity for equitable and stable access to programs that can enhance or replace in-person services. While this review identified 39 tools, all are in early development and/or implementation stages. Review findings highlight an overall lack of these tools, an absence of user-centered design in their development, and a critical need for research on their effectiveness globally. Further analysis and testing of current digital tool usage and interventions examining the health and food security impacts of such tools should be explored in future studies, including in the context of pandemics, where digital tools allow for help from a distance.

Use of Big Data in Disaster Recovery: An Integrative Literature Review

OBJECTIVE

Disasters of all varieties have been steadily increasing in frequency. Simultaneously, "big data" has seen explosive growth as a tool in business and private industries while opportunities for robust implementation in disaster management remain nascent. To more explicitly ascertain the current status of big data as applied to disaster recovery, we conducted an integrative literature review.

METHODS

Eleven databases were searched using iteratively developed keywords to target big data in a disaster recovery context. All studies were dual-screened by title and abstract followed by dual full-text review to determine if they met inclusion criteria. Articles were included if they focused on big data in a disaster recovery setting and were published in the English-language peer-reviewed literature.

RESULTS

After removing duplicates, 25,417 articles were originally identified. Following dual title/abstract review and full-text review, 18 studies were included in the final analysis. Among those, 44% were United States-based and 39% focused on hurricane recovery. Qualitative themes emerged surrounding geographic information systems (GIS), social media, and mental health.

CONCLUSIONS

Big data is an evolving tool for recovery from disasters. More research, particularly in real-time applied disaster recovery settings, is needed to further expand the knowledge base for future applications.