Southeast Region 2017 SNAP-Ed Outcome Evaluation
2019 | Download
642 policy, systems, and environmental (PSE) changes were made throughout the region that reaches up to 782,231 individuals.
PHI's Center for Wellness and Nutrition staff recently released the results of the Southeast FFY 2017 Regional Evaluation. This evaluation, which is the first of its kind in the nation, aggregated data from 25 implementing agencies in the Southeast Region’s eight states: Alabama, Florida, Georgia, Kentucky, Mississippi, North Carolina, South Carolina, and Tennessee.
The FFY 2017 regional evaluation found that SNAP-Ed direct education in the Southeast Region is associated with statistically significant improvements in self-reported healthy eating and food resource management behaviors among adult, teen, and child participants (n=37,318 pre-test, n=33,247 post-test). Furthermore, improvements in individual behaviors are complemented by 642 policy, systems, and environmental changes reaching up to 782,231 individuals that support nutrition throughout the region.
The regional evaluation was conducted over a three-year period. First, an evaluation workgroup was formed with representatives from each of the eight states. CWN staff facilitated monthly webinars until the group reached consensus and decided to track healthy eating behaviors (MT1), food resource management behaviors (MT2), and policy, systems, and environmental changes for nutrition supports (MT5), as described in detail in the SNAP-Ed Evaluation Framework. Because the implementing agencies did not agree to use the same data collection instrument to collect pre- and post-tests for the individual-level indicators, a recoding process for each of the instruments was developed, using the 2015-2020 Dietary Guidelines for Americans as a framework. Next, CWN staff reviewed each of the survey instruments used to collect data and determined whether they met the descriptions of the selected indicators in the Evaluation.
Implementing agencies submitted their data to the CWN using a standardized data entry template created using Excel. CWN staff analyzed the data using standard meta-analysis for the individual-level indicators and descriptive statistics for the environmental-level indicators.