Randomized trial of a family-based, automated, conversational obesity treatment program for underserved populations

Abstract

OBJECTIVE: To evaluate the acceptability and feasibility of a scalable obesity treatment program integrated with pediatric primary care (PC) and delivered using interactive voice technology (IVR) to families from underserved populations. DESIGN AND METHODS: Fifty parent-child dyads (child 9-12 yrs, BMI > 95th percentile) were recruited from a pediatric PC clinic and randomized to either an IVR or a wait-list control (WLC) group. The majority were lower-income, African-American (72%) families. Dyads received IVR calls for 12 weeks. Call content was informed by two evidence-based interventions. Anthropometric and behavioral variables were assessed at baseline and 3-month follow-up. RESULTS: Forty-three dyads completed the study. IVR parents ate one cup more fruit than WLC (P < 0.05). No other group differences were found. Children classified as high users of the IVR decreased weight, BMI, and BMI z-score compared to low users ( P < 0.05). Mean number of calls for parents and children were 9.1 (5.2 SD) and 9.0 (5.7 SD), respectively. Of those who made calls, >75% agreed that the calls were useful, made for people like them, credible, and helped them eat healthy foods. CONCLUSION: An obesity treatment program delivered via IVR may be an acceptable and feasible resource for families from underserved populations.