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ery similar. selleck screening library On the basis of these findings, we think researchers should consider using the Wisepill MEMS in future studies of AAWH and people living with HIV in the United States after taking into account our practical suggestions. The following practical considerations are suggested when measuring objective medication adherence (1) before using an MEMS, be familiar with the targeted populations’ characteristics; (2) choose an MEMS that aligns with the participants’ day-to-day activities; (3) ensure the MEMS’ features and resulting data support the research goals; (4) assess the match among the user’s ability, wireless features of the MEMS, and the geographic location of the participants; and (5) consider the cost of MEMS and the research budget. ©Robert Lucero, Renessa Williams, Tanisia Esalomi, Paula Alexander-Delpech, Christa Cook, Ragnhildur I Bjarnadottir. Originally published in JMIR Formative Research (http//formative.jmir.org), 19.02.2020.Globally, the burden of noncommunicable diseases such as type 2 diabetes is crippling health care systems. Type 2 diabetes, a disease linked with obesity, affects 1 in every 30 people today and is expected to affect 1 in 10 people by 2030. Current provisions are struggling to manage the trajectory of type 2 diabetes prevalence. Offline, face-to-face education for patients with type 2 diabetes has shown to lack long-term impact or the capacity for widespread democratized adoption. Digitally delivered interventions have been developed for patients with type 2 diabetes, and the evidence shows that some interventions provide the capacity to support hyperpersonalization and real-time continuous support to patients, which can result in significant engagement and health outcomes. However, digital health app engagement is notoriously difficult to achieve. This paper reviews the digital behavior change architecture of the Low Carb Program and the application of health behavioral theory underpinning its development and use in scaling novel methods of engaging the population with type 2 diabetes and supporting long-term behavior change. ©Charlotte Summers, Kristina Curtis. Originally published in JMIR Diabetes (http//diabetes.jmir.org), 04.03.2020.BACKGROUND Health professionals have expressed unmet needs, including lacking the skills, confidence, training, and resources needed to properly attend to the psychological needs of people with diabetes. OBJECTIVE Informed by needs assessments, this study aimed to develop practical, evidence-based resources to support health professionals to address the emotional needs of adults with type 1 or type 2 diabetes. METHODS We developed a new handbook and toolkit informed by formative evaluation, including literature reviews, stakeholder consultation and review, and a qualitative study. In the qualitative study, health professionals participated in interviews after reading sections of the handbook and toolkit. RESULTS The literature review uncovered that psychological problems are common among adults with diabetes, but health professionals lack resources to provide related support. We planned and drafted resources to fill this unmet need, guided by stakeholder consultation and an Expert Reference Group (ERG). Befortance of Diabetes Australia. CONCLUSIONS The new evidence-based resources are perceived by stakeholders as effective aids to assist health professionals in providing emotional support to adults with diabetes. The 7 A’s model may have clinical utility for routine monitoring of other psychological and health-related problems, as part of person-centered clinical care. ©Jennifer A Halliday, Jane Speight, Andrea Bennet, Linda J Beeney, Christel Hendrieckx. Originally published in JMIR Formative Research (http//formative.jmir.org), 21.02.2020.BACKGROUND Fall-risk assessment is complex. Based on current scientific evidence, a multifactorial approach, including the analysis of physical performance, gait parameters, and both extrinsic and intrinsic risk factors, is highly recommended. A smartphone-based app was designed to assess the individual risk of falling with a score that combines multiple fall-risk factors into one comprehensive metric using the previously listed determinants. OBJECTIVE This study provides a descriptive evaluation of the designed fall-risk score as well as an analysis of the app’s discriminative ability based on real-world data. METHODS Anonymous data from 242 seniors was analyzed retrospectively. Data was collected between June 2018 and May 2019 using the fall-risk assessment app. First, we provided a descriptive statistical analysis of the underlying dataset. Subsequently, multiple learning models (Logistic Regression, Gaussian Naive Bayes, Gradient Boosting, Support Vector Classification, and Random Forest Regression) were r the Support Vector Classification Model were AUC=0.84, sensitivity=88%, specificity=67%, and accuracy=76%. The performance metrics for the Random Forest Model were AUC=0.84, sensitivity=88%, specificity=57%, and accuracy=70%. CONCLUSIONS Descriptive statistics for the dataset were provided as comparison and reference values. The fall-risk score exhibited a high discriminative ability to distinguish fallers from nonfallers, irrespective of the learning model evaluated. The models had an average AUC of 0.86, an average sensitivity of 93%, and an average specificity of 58%. Average overall accuracy was 73%. Thus, the fall-risk app has the potential to support caretakers in easily conducting a valid fall-risk assessment. The fall-risk score’s prospective accuracy will be further validated in a prospective trial. ©Sophie Rabe, Arash Azhand, Wolfgang Pommer, Swantje Müller, Anika Steinert. Originally published in JMIR Aging (http//aging.jmir.org), 14.02.2020.BACKGROUND Insufficient physical activity in the adult population is a global pandemic. Fun for Wellness (FFW) is a self-efficacy theory- and Web-based behavioral intervention developed to promote growth in well-being and physical activity by providing capability-enhancing opportunities to participants. OBJECTIVE This study aimed to evaluate the effectiveness of FFW to increase physical activity in adults with obesity in the United States in a relatively uncontrolled setting. METHODS This was a large-scale, prospective, double-blind, parallel-group randomized controlled trial. Participants were recruited through an online panel recruitment company. Adults with overweight were also eligible to participate, consistent with many physical activity-promoting interventions for adults with obesity. Also consistent with much of the relevant literature the intended population as simply adults with obesity. Eligible participants were randomly assigned to the intervention (ie, FFW) or the usual care (ie, UC) group via software code that was written to accomplish equal allocations to the FFW and UC groups.