Integrating User-Centered Design and Behavioral Science to Design a Mobile Intervention for Obesity and Binge Eating: Mixed Methods Analysis

BackgroundAccounting for how end users engage with technologies is imperative for designing an efficacious mobile behavioral intervention. ObjectiveThis mixed methods analysis examined the translational potential of user-centered design and basic behavioral scienc...

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Main Authors: Graham, Andrea K, Munson, Sean A, Reddy, Madhu, Neubert, Sarah W, Green, Emilie A, Chang, Angela, Spring, Bonnie, Mohr, David C, Wildes, Jennifer E
Format: Article
Language:English
Published: JMIR Publications 2021-05-01
Series:JMIR Formative Research
Online Access:https://formative.jmir.org/2021/5/e23809
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spelling doaj-3b65676d82ea4f62b69b6b6a1eefa91f2021-05-10T12:48:08ZengJMIR PublicationsJMIR Formative Research2561-326X2021-05-0155e2380910.2196/23809Integrating User-Centered Design and Behavioral Science to Design a Mobile Intervention for Obesity and Binge Eating: Mixed Methods AnalysisGraham, Andrea KMunson, Sean AReddy, MadhuNeubert, Sarah WGreen, Emilie AChang, AngelaSpring, BonnieMohr, David CWildes, Jennifer E BackgroundAccounting for how end users engage with technologies is imperative for designing an efficacious mobile behavioral intervention. ObjectiveThis mixed methods analysis examined the translational potential of user-centered design and basic behavioral science to inform the design of a new mobile intervention for obesity and binge eating. MethodsA total of 22 adults (7/22, 32% non-Hispanic White; 8/22, 36% male) with self-reported obesity and recurrent binge eating (≥12 episodes in 3 months) who were interested in losing weight and reducing binge eating completed a prototyping design activity over 1 week. Leveraging evidence from behavioral economics on choice architecture, participants chose treatment strategies from 20 options (aligned with treatment targets composing a theoretical model of the relation between binge eating and weight) to demonstrate which strategies and treatment targets are relevant to end users. The process by which participants selected and implemented strategies and their change in outcomes were analyzed. ResultsAlthough prompted to select one strategy, participants selected between 1 and 3 strategies, citing perceived achievability, helpfulness, or relevance as selection reasons. Over the week, all practiced a strategy at least once; 82% (18/22) struggled with implementation, and 23% (5/22) added a new strategy. Several themes emerged on successes and challenges with implementation, yielding design implications for supporting users in behavior change. In postexperiment reflections, 82% (18/22) indicated the strategy was helpful, and 86% (19/22) planned to continue use. One-week average within-subject changes in weight (–2.2 [SD –5.0] pounds) and binge eating (–1.6 [SD –1.8] episodes) indicated small clinical improvement. ConclusionsApplying user-centered design and basic behavioral science yielded design insights to incorporate personalization through user choice with guidance, which may enhance engagement with and potential efficacy of digital health interventions.https://formative.jmir.org/2021/5/e23809
collection DOAJ
language English
format Article
sources DOAJ
author Graham, Andrea K
Munson, Sean A
Reddy, Madhu
Neubert, Sarah W
Green, Emilie A
Chang, Angela
Spring, Bonnie
Mohr, David C
Wildes, Jennifer E
spellingShingle Graham, Andrea K
Munson, Sean A
Reddy, Madhu
Neubert, Sarah W
Green, Emilie A
Chang, Angela
Spring, Bonnie
Mohr, David C
Wildes, Jennifer E
Integrating User-Centered Design and Behavioral Science to Design a Mobile Intervention for Obesity and Binge Eating: Mixed Methods Analysis
JMIR Formative Research
author_facet Graham, Andrea K
Munson, Sean A
Reddy, Madhu
Neubert, Sarah W
Green, Emilie A
Chang, Angela
Spring, Bonnie
Mohr, David C
Wildes, Jennifer E
author_sort Graham, Andrea K
title Integrating User-Centered Design and Behavioral Science to Design a Mobile Intervention for Obesity and Binge Eating: Mixed Methods Analysis
title_short Integrating User-Centered Design and Behavioral Science to Design a Mobile Intervention for Obesity and Binge Eating: Mixed Methods Analysis
title_full Integrating User-Centered Design and Behavioral Science to Design a Mobile Intervention for Obesity and Binge Eating: Mixed Methods Analysis
title_fullStr Integrating User-Centered Design and Behavioral Science to Design a Mobile Intervention for Obesity and Binge Eating: Mixed Methods Analysis
title_full_unstemmed Integrating User-Centered Design and Behavioral Science to Design a Mobile Intervention for Obesity and Binge Eating: Mixed Methods Analysis
title_sort integrating user-centered design and behavioral science to design a mobile intervention for obesity and binge eating: mixed methods analysis
publisher JMIR Publications
series JMIR Formative Research
issn 2561-326X
publishDate 2021-05-01
description BackgroundAccounting for how end users engage with technologies is imperative for designing an efficacious mobile behavioral intervention. ObjectiveThis mixed methods analysis examined the translational potential of user-centered design and basic behavioral science to inform the design of a new mobile intervention for obesity and binge eating. MethodsA total of 22 adults (7/22, 32% non-Hispanic White; 8/22, 36% male) with self-reported obesity and recurrent binge eating (≥12 episodes in 3 months) who were interested in losing weight and reducing binge eating completed a prototyping design activity over 1 week. Leveraging evidence from behavioral economics on choice architecture, participants chose treatment strategies from 20 options (aligned with treatment targets composing a theoretical model of the relation between binge eating and weight) to demonstrate which strategies and treatment targets are relevant to end users. The process by which participants selected and implemented strategies and their change in outcomes were analyzed. ResultsAlthough prompted to select one strategy, participants selected between 1 and 3 strategies, citing perceived achievability, helpfulness, or relevance as selection reasons. Over the week, all practiced a strategy at least once; 82% (18/22) struggled with implementation, and 23% (5/22) added a new strategy. Several themes emerged on successes and challenges with implementation, yielding design implications for supporting users in behavior change. In postexperiment reflections, 82% (18/22) indicated the strategy was helpful, and 86% (19/22) planned to continue use. One-week average within-subject changes in weight (–2.2 [SD –5.0] pounds) and binge eating (–1.6 [SD –1.8] episodes) indicated small clinical improvement. ConclusionsApplying user-centered design and basic behavioral science yielded design insights to incorporate personalization through user choice with guidance, which may enhance engagement with and potential efficacy of digital health interventions.
url https://formative.jmir.org/2021/5/e23809
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