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Successful Community Nutrition Incentive Program Data Collection during the COVID-19 Pandemic: A Case Study
Sarah A Stotz1, Hollyanne Fricke2, Cameron Perra3
1Centers for American Indian and Alaska Native Health, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO, USA.
The Hunger Task Force Mobile Market successfully collected nutrition program data during COVID-19 using innovative, personalized telephone surveys. This approach ensured continued evaluation of public health nutrition programs despite pandemic challenges.
Area of Science:
- Public Health Nutrition
- Program Evaluation
- Health Services Research
Background:
- The COVID-19 pandemic created significant challenges for evaluating public health nutrition programs.
- The USDA Gus Schumacher Nutrition Incentive Program (USDA GusNIP) requires grantees to collect participant data, including fruit and vegetable intake and food insecurity.
- Most USDA GusNIP grantees faced barriers to data collection due to the pandemic.
Purpose of the Study:
- To explore the successful participant-level data collection and evaluation methods used by the Hunger Task Force Mobile Market (HTFMM) during the COVID-19 pandemic.
- To identify key factors contributing to HTFMM's ability to collect essential program data despite public health restrictions.
Main Methods:
- A single case study approach was employed, focusing on the HTFMM in Milwaukee, WI.
- Data were collected through teleconference interviews with leadership, evaluators, staff, volunteers, and customers.
- Qualitative thematic analysis was conducted on transcribed interviews by two independent coders.
Main Results:
- Successful data collection involved multiple stakeholders with defined roles, utilizing personalized, proactive telephone surveys.
- Dedicated resources for comprehensive evaluation were crucial for maintaining data collection efforts.
- Established community relationships and trust facilitated program engagement and data collection.
- The developed COVID-19 data collection protocol also addressed challenges inherent in in-person data collection.
Conclusions:
- Alternative data collection methods, like those employed by HTFMM, can be successfully adapted for evaluating public health nutrition programs during crises.
- These findings offer guidance for other programs facing disruptions to in-person data collection.
- The study contributes to best practices for collecting participant-level data in public health nutrition program evaluations.
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