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Multi-level Communications and Access Strategies to Improve the Food Environment

Multi-level Communications and Access Strategies to Improve the Food Environment:B'More Healthy: Retailer Rewards (BHRR)

Status
Completed
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT02279849
Acronym
BHRR
Enrollment
444
Registered
2014-10-31
Start date
2012-03-31
Completion date
2014-03-31
Last updated
2018-03-27

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Obesity

Keywords

multi-level intervention, price discounts, communication, low income population, dietary intervention, obesity prevention, store-based intervention

Brief summary

The overarching goal of B'More Healthy Retail Rewards (BHRR) is to develop, implement, and evaluate a pilot multi-level communications and pricing intervention to improve access to and consumption of healthy foods in low-income areas of Baltimore City, Maryland. BHRR has three primary aims: (1) to conduct formative research with representatives of multiple levels of the Baltimore food environment (i.e., local wholesalers, retail food store owners, and consumers) in order to select key foods for promotion, and determine appropriate communications and healthy food price reduction strategies, (2) to pilot the multi-level program with 2 local wholesale stores, and 24 small corner stores and their customers, and assess program implementation through detailed process evaluation, and (3) to assess impact of multilevel health communications and pricing strategies, combined and separately, on consumer dietary patterns and food source use, food purchasing behaviors, psychosocial variables, food security, and individual weight and height.

Detailed description

Innovative and culturally appropriate multilevel health communications interventions are desperately needed to address the chronic disease epidemic in high-risk populations, such as low-income urban African Americans. However, the vast majority of communications strategies have focused on educating individual consumers about healthy food choices, while in poor urban settings the lower availability of affordable healthy food choices greatly limits the impact of these messages. The study team worked with 1 wholesaler and 24 small retail food stores to develop and test novel strategies in Baltimore, Maryland, including: 1) multilevel health communications alone directed at wholesalers, retailers and low-income African American consumers intended to enhance willingness to stock and/or purchase healthy foods; 2) pricing strategies (performance based allowances) directed at wholesalers and retailers to increase their stocking of healthy foods at reduced prices; and 3) combined health communications and pricing strategies. Intervention strategies were tailored to meet the needs of the target populations based on formative research and stakeholder input. This research study is based on significant field experience in this setting, including the development of evaluation tools to assess change in stocking and pricing of key foods (at the store level), and psychosocial factors, dietary intake, and food purchasing behaviors (at the consumer level). There are 3 main study aims: 1. Formative research with representatives of multiple levels of the Baltimore food environment (i.e., local wholesalers and retail food store owners) in order to select key foods for promotion, determine appropriate communication strategies (e.g., messages, channels, materials) for each level, and select the most appropriate pricing approach (i.e., performance based allowance structure and stipulations). 2. Pilot the multilevel program with three wholesalers and 24 food stores (6 control, 6 health communications only, 6 pricing only, 6 combined), and assess program implementation through detailed process evaluation. 3. Assess impact of the pilot program on a) the stocking, pricing, marketing, and sales volume of promoted foods at wholesale and retail levels, and b) food purchasing behaviors and associated psychosocial variables (i.e., self-efficacy, intentions, perceived cost) at the consumer level (final sample n=12 consumers/store, 288 total). The proposed research seeks to develop effective, multilevel communication strategies to improve diet and reduce risk for diet-related chronic diseases. The study team anticipates this design will demonstrate the value of a multi-pronged and multilevel health communications approach to obesity and chronic disease prevention, and will lead to a large-scale trial and informed policies designed to improve food availability and affordability in low-income urban settings.

Interventions

OTHERCommunications

Communication materials were used to promote healthier items to consumers in corner stores.

OTHERPricing

The pricing incentives were used to help promote sales of healthier food items.

OTHERCombined (Communications & Pricing)

Communications with Pricing incentives were used to promote the sale/consumption of healthier foods.

Sponsors

Johns Hopkins Bloomberg School of Public Health
Lead SponsorOTHER

Study design

Allocation
RANDOMIZED
Intervention model
FACTORIAL
Primary purpose
PREVENTION
Masking
NONE

Eligibility

Sex/Gender
ALL
Age
21 Years to 100 Years
Healthy volunteers
Yes

Inclusion criteria

* 21 yrs of age and a regular customer at participating corner store.

Exclusion criteria

* Under 21 years of age and not a regular customer of participating store.

Design outcomes

Primary

MeasureTime frameDescription
Healthy food purchasing and related-psychosocial factorsUp to 8 monthsWe analyzed the average change in consumer purchase of promoted foods and related consumer psychosocial variables across treatment groups from baseline and post-intervention by examine intervention effects by analyzing the change variable obtained by subtracting the pretest score from post-test score (exploratory analysis); and 2) conduct confirmatory testing of intervention effects using ANOVA and mixed models.

Secondary

MeasureTime frameDescription
Consumer dietary intake and consumption of promoted foodsUp to 8 monthsWe analyzed the average change in consumer dietary intake and consumption of promoted foods across treatment groups from baseline and post-intervention by examine intervention effects by analyzing the change variable obtained by subtracting the pretest score from post-test score (exploratory analysis); and 2) conduct confirmatory testing of intervention effects using ANOVA and mixed models.

Other

MeasureTime frameDescription
Consumer Body Mass Index (BMI)Up to 11 monthsAverage change in consumer consumer BMI across treatment groups from baseline and post-intervention.
Household food security, food assistance, health beliefs, socio-demographicsUp to 11 monthsWe analyzed the average change in consumer household food security, food assistance, health beliefs, socio-demographics across treatment groups from baseline and post-intervention examine intervention effects by analyzing the change variable obtained by subtracting the pretest score from post-test score (exploratory analysis); and 2) conduct confirmatory testing of intervention effects using ANOVA and mixed models.
Store owner psychosocial variables to stock/sell promoted foodsUp to 8 monthsWe analyzed the average change in store owner psychosocial variables to stock/sell promoted foods across treatment groups from baseline and post-intervention examine intervention effects by analyzing the change variable obtained by subtracting the pretest score from post-test score (exploratory analysis); and 2) conduct confirmatory testing of intervention effects using ANOVA and mixed models.
Process EvaluationUp to 8 monthsAssessing the reach, dose, and fidelity of all intervention components from our post data collection instruments.
Wholesaler sales of promoted foodsUp to 8 monthsWe analyzed the average change in wholesaler sales of promoted foods across treatment groups from baseline and post-intervention examine intervention effects by analyzing the change variable obtained by subtracting the pretest score from post-test score (exploratory analysis); and 2) conduct confirmatory testing of intervention effects using ANOVA and mixed models.
Sales of promoted foodsUp to 8 monthsWe analyzed the average change in store sales of promoted foods across treatment groups from baseline and post-intervention examine intervention effects by analyzing the change variable obtained by subtracting the pretest score from post-test score (exploratory analysis); and 2) conduct confirmatory testing of intervention effects using ANOVA and mixed models.

Countries

United States

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Mar 5, 2026