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

Authors

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

Publication Date

12-1-2022

Journal

Obesity

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: A total of 550 adults (mean [SD], 51.4 [11.2] years, BMI = 35.1 [5.5] kg/m

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.

Keywords

Adult, Humans, Female, Male, Weight Reduction Programs, Feedback, Internet, Weight Loss, Obesity, Primary Health Care