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A cluster‐randomized controlled trial of automated internet weight‐loss programs in primary care: Role of automated provider feedback

Deborah F. Tate, Jennifer L. Kraschnewski, Caitlin Martinez, Molly Diamond, Susan Veldheer, Kevin O. Hwang, Erik Lehman, Chengwu Yang, Christopher Sciamanna

2022Obesity12 citationsDOIOpen Access PDF

Abstract

OBJECTIVE: Despite the high prevalence of obesity and associated health risks in the United States adult population, few primary care providers (PCPs) have time and training to provide weight-management counseling to their patients. This study aims to compare the effect of referral to a comprehensive automated digital weight-loss program, with or without provider email feedback, with usual care on weight loss in patients with overweight or obesity. METHODS: , 72.0% female) were enrolled through their PCPs (n = 31). Providers were randomly assigned to refer their patients to a 12-month internet weight-loss intervention only (IWL), the intervention plus semiautomated feedback from the provider (IWL + PCP), or to usual care (EUC). Weight was measured at baseline and at 3, 6, and 12 months. RESULTS: Weight changes (mean [SE]) at 12 months were -0.92 (0.46), -3.68 (0.46), and -3.58 (0.48) kg in the EUC, IWL, and IWL + PCP groups, respectively. Outcomes were significantly different in EUC versus IWL and EUC versus IWL + PCP (p < 0.001), but not in IWL versus IWL + PCP. CONCLUSIONS: Referral by PCPs to an automated weight-loss program holds promise for patients with obesity. Future research should explore ways to further promote accountability and adherence.

Topics & Concepts

The InternetCluster (spacecraft)Primary careRandomized controlled trialMedicineWeight lossComputer scienceInternal medicineFamily medicineWorld Wide WebComputer networkObesityMobile Health and mHealth ApplicationsObesity and Health PracticesDigital Mental Health Interventions
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