Jennifer Pooler1, Stacy F Gleason2. 1. Altarum Institute, Community Health Systems Group, Portland, ME. Electronic address: Jennifer.Pooler@altarum.org. 2. Altarum Institute, Community Health Systems Group, Portland, ME.
Abstract
OBJECTIVE: To assess Special Supplemental Nutrition Program for Women, Infants, and Children (WIC) benefit use across Arab American, Hispanic, and non-Arab/non-Hispanic families participating in the Michigan WIC program using point-of-sale Electronic Benefits Transfer data. DESIGN: Cross-sectional analysis using administrative data obtained from the Michigan WIC program, which collects Arab American ethnicity in addition to Hispanic ethnicity and race. SETTING: Michigan. PARTICIPANTS: Families participating in the Michigan WIC program in March, 2012 (n = 152,989). MAIN OUTCOME MEASURE: Families redeeming all WIC benefits. ANALYSIS: Bivariate frequencies and multivariate logistic regression model identified characteristics of families associated with full redemption of WIC food benefits. RESULTS: About 12% of WIC families fully redeemed their benefits in March, 2012. Compared with non-Arab/non-Hispanic families, Arab American WIC families were significantly more likely to use all of their monthly WIC benefits, even after controlling for family characteristics (adjusted odds ratio, 3.6; 95% confidence interval, 3.4-3.8). Rates of redemption for Hispanic families, however, were the same as for non-Arab/non-Hispanic families (adjusted odds ratio, 1.0; 95% confidence interval, 0.9-1.0). CONCLUSIONS AND IMPLICATIONS: State WIC programs moving toward implementation of Electronic Benefits Transfer should consider ways to enhance systems that would allow for more opportunities to conduct targeted analyses of benefit use across participant subpopulations. Findings point to low overall WIC benefit use. Additional research is needed to explore methods to increase benefit use among all WIC populations, including whether specific factors may contribute to higher redemptions among ethnic minorities, and whether they can be translated to other subpopulations.
OBJECTIVE: To assess Special Supplemental Nutrition Program for Women, Infants, and Children (WIC) benefit use across Arab American, Hispanic, and non-Arab/non-Hispanic families participating in the Michigan WIC program using point-of-sale Electronic Benefits Transfer data. DESIGN: Cross-sectional analysis using administrative data obtained from the Michigan WIC program, which collects Arab American ethnicity in addition to Hispanic ethnicity and race. SETTING: Michigan. PARTICIPANTS: Families participating in the Michigan WIC program in March, 2012 (n = 152,989). MAIN OUTCOME MEASURE: Families redeeming all WIC benefits. ANALYSIS: Bivariate frequencies and multivariate logistic regression model identified characteristics of families associated with full redemption of WIC food benefits. RESULTS: About 12% of WIC families fully redeemed their benefits in March, 2012. Compared with non-Arab/non-Hispanic families, Arab American WIC families were significantly more likely to use all of their monthly WIC benefits, even after controlling for family characteristics (adjusted odds ratio, 3.6; 95% confidence interval, 3.4-3.8). Rates of redemption for Hispanic families, however, were the same as for non-Arab/non-Hispanic families (adjusted odds ratio, 1.0; 95% confidence interval, 0.9-1.0). CONCLUSIONS AND IMPLICATIONS: State WIC programs moving toward implementation of Electronic Benefits Transfer should consider ways to enhance systems that would allow for more opportunities to conduct targeted analyses of benefit use across participant subpopulations. Findings point to low overall WIC benefit use. Additional research is needed to explore methods to increase benefit use among all WIC populations, including whether specific factors may contribute to higher redemptions among ethnic minorities, and whether they can be translated to other subpopulations.
Authors: Elizabeth Dennard; Elizabeth Kristjansson; Nedelina Tchangalova; Sarah Totton; Donna Winham; Annette O'Connor Journal: PLoS One Date: 2022-09-12 Impact factor: 3.752