Abstract

BackgroundReviews of weight loss mobile apps have revealed they include very few evidence-based features, relying mostly on self-monitoring. Unfortunately, adherence to self-monitoring is often low, especially among patients with motivational challenges. One behavioral strategy that is leveraged in virtually every visit of behavioral weight loss interventions and is specifically used to deal with adherence and motivational issues is problem solving. Problem solving has been successfully implemented in depression mobile apps, but not yet in weight loss apps.ObjectiveThis study describes the development and feasibility testing of the Habit app, which was designed to automate problem-solving therapy for weight loss.MethodsTwo iterative single-arm pilot studies were conducted to evaluate the feasibility and acceptability of the Habit app. In each pilot study, adults who were overweight or obese were enrolled in an 8-week intervention that included the Habit app plus support via a private Facebook group. Feasibility outcomes included retention, app usage, usability, and acceptability. Changes in problem-solving skills and weight over 8 weeks are described, as well as app usage and weight change at 16 weeks.ResultsResults from both pilots show acceptable use of the Habit app over 8 weeks with on average two to three uses per week, the recommended rate of use. Acceptability ratings were mixed such that 54% (13/24) and 73% (11/15) of participants found the diet solutions helpful and 71% (17/24) and 80% (12/15) found setting reminders for habits helpful in pilots 1 and 2, respectively. In both pilots, participants lost significant weight (P=.005 and P=.03, respectively). In neither pilot was an effect on problem-solving skills observed (P=.62 and P=.27, respectively).ConclusionsProblem-solving therapy for weight loss is feasible to implement in a mobile app environment; however, automated delivery may not impact problem-solving skills as has been observed previously via human delivery.Trial RegistrationClinicalTrials.gov NCT02192905; https://clinicaltrials.gov/ct2/show/NCT02192905 (Archived by WebCite at http://www.webcitation.org/6zPQmvOF2)

Highlights

  • Reviews of weight loss mobile apps have revealed they include very few evidence-based features [1,2], rarely involve behavioral experts in the developmental process [1,3], and lack efficacy data [1]

  • The most common features in weight loss apps are self-monitoring and goal setting, which is a narrow list given that evidence-based behavioral weight loss programs deliver up to 20 different behavioral strategies [2]

  • One behavioral strategy that is leveraged in virtually every visit of behavioral weight loss interventions and is used to deal with adherence and motivational issues is problem solving

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Summary

Introduction

Reviews of weight loss mobile apps have revealed they include very few evidence-based features [1,2], rarely involve behavioral experts in the developmental process [1,3], and lack efficacy data [1]. Reviews of weight loss mobile apps have revealed they include very few evidence-based features, relying mostly on self-monitoring. One behavioral strategy that is leveraged in virtually every visit of behavioral weight loss interventions and is used to deal with adherence and motivational issues is problem solving. Objective: This study describes the development and feasibility testing of the Habit app, which was designed to automate problem-solving therapy for weight loss. Acceptability ratings were mixed such that 54% (13/24) and 73% (11/15) of participants found the diet solutions helpful and 71% (17/24) and 80% (12/15) found setting reminders for habits helpful in pilots 1 and 2, respectively. Conclusions: Problem-solving therapy for weight loss is feasible to implement in a mobile app environment; automated delivery may not impact problem-solving skills as has been observed previously via human delivery. Trial Registration: ClinicalTrials.gov NCT02192905; https://clinicaltrials.gov/ct2/show/NCT02192905 (Archived by WebCite at http://www.webcitation.org/6zPQmvOF2)

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