Using spatial analysis to examine best placement of electronic benefit transfer services at farmers’ markets in Honolulu County, Hawaii, USA

Buchthal, Opal Vanessa; Wolff, Grace; Kittinger, Daniela; Schaeffner, Danielle; Nelson-Hurwitz, Denise C.

doi:10.1017/s1368980018001945

Cited by 4 publications

(6 citation statements)

References 24 publications

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“…While promising interventions like increased access to farmers’ markets for low-income persons are on the rise, there are still systemic barriers to accessing these services. 36 Food insecurity is related to increased odds of diabetes for NHPIs living in Hawai‘i, 37 making food-related adaptations to the T2 curriculum more salient. One food-related modification, community-sourced agricultural, was scuttled during the course programme.…”

Section: Discussionmentioning

confidence: 99%

Adaptions to the National Diabetes Prevention Programme lifestyle change curriculum by Hawai‘i Federally Qualified Health Centers: a qualitative descriptive study

Stupplebeen

Pirkle

Domingo³

et al. 2020

BMJ Open

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ObjectiveThe objective of this qualitative study was to describe the community-appropriate and culturally appropriate adaptations made by lifestyle change programme (LCP) coaches to the National Diabetes Prevention Programme curriculum for Federally Qualified Health Center (FQHC) patients in Hawaiʻi, an ethnically diverse state with a high proportion of Native Hawaiians and Pacific Islanders (NHPI).Research design and methodsWe used a qualitative descriptive approach. First, we conducted a document review of existing programmatic notes and materials followed by video interview calls with 13 lifestyle coaches at 7 FQHCs implementing in-person LCPs. Lifestyle coaches catalogued, described and explained the rationale for adaptations. The research team counted adaptations if they met a specific adaptation definition derived from several sources. Community and cultural relevancy of adaptations were analysed using an existing framework for weight loss and diabetes prevention for NHPIs.ResultsThe average number of adaptations per FQHC was 8.61 (range: 4–16). Adaptations fell into 11 broad categories such as off-site community field trips, food-related and nutrition-related activities, and physical activity opportunities. Novel adaptations included goal setting with motivational interviewing and dyadic recruitment. Field trips and in-class food demonstrations addressed the most constructs related to weight loss and diabetes prevention for NHPI, including social and community barriers, familial barriers and barriers to self-efficacy.ConclusionsLifestyle coaches were culturally attuned to the needs of LCP participants, particularly from NHPI communities. Policy-makers should recognise the extra work that LCP coaches do in order to increase enrollment and retention in these types of programmes.

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Section: Discussionmentioning

confidence: 99%

Adaptions to the National Diabetes Prevention Programme lifestyle change curriculum by Hawai‘i Federally Qualified Health Centers: a qualitative descriptive study

Stupplebeen

Pirkle

Domingo³

et al. 2020

BMJ Open

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“…, 2021). The use of geographic identification of market access, surrounding demographics and strategic targeting of Supplemental Nutrition Assistance Program (SNAP) interventions are some of the ways that researchers propose improving regional food access (Buchthal et al. , 2018).…”

Section: Marketplaces As Be Interventionsmentioning

confidence: 99%

Leveraging markets to develop central capabilities: case studies of Cotati, CA, and Brownsville, TX

Ledesma

2022

IJSSP

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PurposeMarketplaces have been central to civilization, as they foster trade and social life. Marketplaces are built environment (BE) interventions which, when looked at through a historical lens, reflect inequalities and subsequent deployment by people of color (POC). While the resurgence of farmers’ markets is a positive stride towards food justice over the past three decades, studies show that the disparities of class inequality and geographic constraints are key limitations to access for vulnerable populations. The fundamental question of this paper is, how can farmers’ markets use data to strategize and plan in ways that better serve their communities and give them more control?Design/methodology/approachThis paper brings together applied methods in marketplace research and spatial analytical processes geographic information systems (GISs) to inform the research questions through an intersectional model of analysis. Data analysis merges local data collected from the market organization using the Farm 2 Facts toolkit and publicly available data to conduct geospatial analysis of the markets and their surrounding context. Two case studies are explored in Cotati, CA, and Brownsville, TX.FindingsDespite the similarities and nuances of the two case studies, the data show that both markets serve a narrow pool of customers extended a couple of miles from the market. (1) The markets are not serving communities with the most need. (2) Farmers’ markets need to increase affiliation with POC. (3) Farmers’ market locations can impact control over one's environment.Originality/valueThe research builds of Nussbaum's capabilities model and explores three capabilities that are in line with what markets (1) bodily health, (2) affiliation and perhaps most significantly (3) control over one's own environment. Farmers’ market location can impact control over one's environment.

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“…In low-income communities, markets should be centrally located, easily accessible by public transit, open during hours convenient to consumers and near other amenities such as schools, workplaces or other shopping opportunities, so shoppers may complete multiple errands at once (20,28,29) . Assessing both the size of the consumer base and neighbourhood competition for EBT sales should also be considered in location (30) . A market EBT program's consumer base is the number of SNAP-participating households with reasonable access to the market (30) .…”

Section: Operational Factorsmentioning

confidence: 99%

“…Assessing both the size of the consumer base and neighbourhood competition for EBT sales should also be considered in location (30) . A market EBT program's consumer base is the number of SNAP-participating households with reasonable access to the market (30) . The number of alternate produce markets, supermarkets and grocery stores accepting SNAP benefits in a neighbourhood may impact farmers' market EBT sales, due to the market's relatively limited operating hours.…”

Section: Operational Factorsmentioning

confidence: 99%

Identifying and assessing factors affecting farmers’ markets Electronic Benefit Transfer sales in Hawai‘i

Wolff

Nelson-Hurwitz

Buchthal

2020

Public Health Nutr.

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Objective:Electronic Benefit Transfer (EBT) placement at farmers’ markets can reduce access disparities for low-income consumers. However, resources needed to operate EBT programs may challenge markets’ business models. A conceptual model of factors impacting EBT program success was developed from literature, and an exploratory study conducted to assess the impact of model variables on market EBT sales.Design:Annual EBT sales data were obtained for all Hawai‘i farmers’ markets with EBT programs (n 22). Key informant interviews (n 19), along with records review, were performed to gather data on model variables. Exploratory analysis was conducted to estimate the impact of individual model variables on EBT sales.Setting:Farmers’ markets accepting EBT in the state of Hawai‘i.Participants:Market managers and EBT program partners (n 19).Results:Markets engaging in community partnerships $\left( {{\mkern 1mu} {\mkern 1mu} \Delta \overline x = \$ 852} \right)$, consumer education $\left( {{\mkern 1mu} {\mkern 1mu} \Delta \overline x = \$ {\rm{598}}} \right)$, social media promotion $\left( {{\mkern 1mu} {\mkern 1mu} \Delta \overline x = \$ {\rm{732}}} \right)$ or EBT incentives $\left( {{\mkern 1mu} {\mkern 1mu} \Delta \overline x = \$ {\rm{5}}0{\rm{9}}} \right)$ averaged higher sales than markets not reporting these practices. Sales increased by $3 for every ten additional SNAP-participating households and decreased by $35 for each competing EBT-accepting supermarket, grocery or farmers’ market within the market’s access area. Sales increased by $137/vendor for each additional hour/week the market was open.Conclusion:Factors suggested by the model, particularly community engagement and partnership, marketing methods, consumer base and competition for EBT sales in the market area substantively affected EBT sales. Assessing these factors may identify markets with the greatest chance of EBT success and suggest ways to strengthen struggling EBT programs.

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Using spatial analysis to examine best placement of electronic benefit transfer services at farmers’ markets in Honolulu County, Hawaii, USA

Abstract: Geographic identification of market access demographics, and strategic targeting of EBT interventions, could improve regional access to healthy foods.

Cited by 4 publications

References 24 publications

Adaptions to the National Diabetes Prevention Programme lifestyle change curriculum by Hawai‘i Federally Qualified Health Centers: a qualitative descriptive study

Adaptions to the National Diabetes Prevention Programme lifestyle change curriculum by Hawai‘i Federally Qualified Health Centers: a qualitative descriptive study

Leveraging markets to develop central capabilities: case studies of Cotati, CA, and Brownsville, TX

Identifying and assessing factors affecting farmers’ markets Electronic Benefit Transfer sales in Hawai‘i

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