Background Accounting for how end users engage with technologies is imperative for designing an efficacious mobile behavioral intervention. Objective This 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. Methods A 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. Results Although 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. Conclusions Applying 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.

Objective: User-centered design can improve engagement with and the potential efficacy of behavioral interventions, but is underutilized in health care. This work demonstrates how design methodologies can inform the design of a mobile behavioral intervention for binge eating and obesity.Method: A needs assessment was conducted with end-users (N = 22 adults with obesity and recurrent binge eating [≥12 episodes in 3 months] who were interested in losing weight and addressing binge eating), which included assessing participants' past/current and future willingness to engage with 20 treatment targets for managing binge eating and weight. Targets focused on improving dietary intake, increasing physical activity, and reducing overvaluation of weight and/or shape, unhealthy weight control practices, and negative affect. Results:Participants' past and current use of targets varied. For all targets except those addressing unhealthy weight control practices, on average, participants had increasing levels of willingness to try targets. Among participants not currently using a target, at least some were willing to use every target again.Discussion: Findings inform ways to personalize how users begin treatment. Furthermore, this study exemplifies how user-centered design can inform ways to ensure that digital interventions are designed to meet end-users' needs to improve engagement and clinical impact.

Interventions that address binge eating and food insecurity are needed. Engaging people with lived experience to understand their needs and preferences could yield important design considerations for such interventions. In this study, people with food insecurity, recurrent binge eating, and obesity completed an interview-based needs assessment to learn facilitators and barriers that they perceive would impact their engagement with a digital intervention for managing binge eating and weight. Twenty adults completed semi-structured interviews. Responses were analyzed using thematic analysis. Three themes emerged. Participants shared considerations that impact their ability to access the intervention (e.g., cost of intervention, cost of technology, accessibility across devices), ability to complete intervention recommendations (e.g., affordable healthy meals, education to help stretch groceries, food vouchers, rides to grocery stores, personalized to budget), and preferred intervention features for education, self-monitoring, personalization, support, and motivation/rewards. Engaging people with lived experiences via user-centered design methods revealed important design considerations for a digital intervention to meet this population’s needs. Future research is needed to test whether a digital intervention that incorporates these recommendations is engaging and effective for people with binge eating and food insecurity. Findings may have relevance to designing digital interventions for other health problems as well.

Background Patients with systemic lupus erythematous (SLE) experience psychological comorbidities and impaired quality of life (QOL). We conducted a systematic review to examine the efficacy of non-pharmacological interventions for improving psychological outcomes and/or QOL in patients with SLE. To expand on a previous systematic review in this area and enhance our understanding of efficacious interventions for this population, our search included quasi-experimental and experimental studies of interventions delivered or supported by remote methods (including digitally) or in person. Methods A comprehensive literature search was conducted with a research librarian using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines and was registered before data extraction on the international prospective register of systematic reviews PROSPERO Web site (CRD42020154962). The search included controlled-vocabulary and title/abstract terms related to non-pharmacological interventions for SLE published through October 2019 in MEDLINE (Ovid), Cochrane Library databases (Wiley), Embase (Elsevier), CINAHL (EBSCO), PsycINFO (EBSCO), Web of Science (Clarivate), ACM Digital (Association of Computer Machinery), and IEEE Xplore. Studies were synthesized using a systematic narrative synthesis framework. Risk of bias was assessed. Studies were synthesized using a systematic narrative synthesis framework. Risk of bias was assessed. Results Twenty-three studies were included: 21 randomized controlled trials and two quasi-experimental studies. Non-pharmacological diet, physical activity, psychological, and course-based interventions improved QOL and psychological outcomes, and were delivered in traditional settings (e.g., hospital) or remotely. No studies assessing digital non-pharmacological interventions were identified in our search. Quality assessments showed serious risk of bias for the two quasi-experimental studies, and high risk of bias in a subset of experimental studies. Conclusions Non-pharmacological interventions benefit patients with SLE. Future research should include more representative samples in rigorous evaluations and consider ways to incorporate digital technologies to increase accessibility.