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Delivering self-management support to people with type 2 diabetes mellitus is essential to reduce the health system burden and to empower people with the skills, knowledge, and confidence needed to take an active role in managing their own health.
This study aims to evaluate the adoption, use, and effectiveness of the My Diabetes Coach (MDC) program, an app-based interactive embodied conversational agent, Laura, designed to support diabetes self-management in the home setting over 12 months.
This randomized controlled trial evaluated both the implementation and effectiveness of the MDC program. Adults with type 2 diabetes in Australia were recruited and randomized to the intervention arm (MDC) or the control arm (usual care). Program use was tracked over 12 months. Metabolism inhibitor Coprimary outcomes included changes in glycated hemoglobin (HbA
) and health-related quality of life (HRQoL). Data were assessed at baseline and at 6 and 12 months, and analyzed using linear mixed-effects regression models.
A total of 187 trategies to maintain program usage and HbA
improvement.
Australia New Zealand Clinical Trials Registry (ACTRN) 12614001229662; https//anzctr.org.au/Trial/Registration/TrialReview.aspx?ACTRN=12614001229662.
Australia New Zealand Clinical Trials Registry (ACTRN) 12614001229662; https//anzctr.org.au/Trial/Registration/TrialReview.aspx?ACTRN=12614001229662.
The experiences of resilience and intersectionality in the lives of contemporary sexual and gender minority youth (SGMY) are important to explore. SGMY face unique experiences of discrimination in both online and offline environments, yet simultaneously build community and seek support in innovative ways. SGMY who identify as transgender, trans, or gender nonconforming and have experiences with child welfare, homelessness, or immigration have been particularly understudied. A qualitative exploration that leverages technology may derive new understanding of the negotiations of risk, resilience, and identity intersections that impact the well-being of vulnerable SGMY.
The objectives of the QueerVIEW study were to (1) enhance understanding of SGMY identities, both online and offline, (2) identify experiences of intersectionality among culturally, regionally, and racially diverse SGMY in Ontario, Canada, (3)explore online and offline sources of resilience for SGMY, and (4) develop and apply a virtual photo elat results will form a model of how participants work toward integrating their online and offline experiences and identities into developing a sense of themselves as resilient.
This protocol presents an innovative, technology-enabled qualitative study that completely digitized a popular arts-based methodology-photo elicitation-that has potential utility for contemporary research with marginalized populations. The research design and triangulated analyses can generate more nuanced conceptualizations of SGMY identities and resilience than more traditional approaches. Considerations for conducting online research may be useful for other qualitative research.
DERR1-10.2196/20547.
DERR1-10.2196/20547.
Digital health technologies can be key to improving health outcomes, provided health care workers are adequately trained to use these technologies. There have been efforts to identify digital competencies for different health care worker groups; however, an overview of these efforts has yet to be consolidated and analyzed.
The review aims to identify and study existing digital health competency frameworks for health care workers and provide recommendations for future digital health training initiatives and framework development.
A literature search was performed to collate digital health competency frameworks published from 2000. A total of 6 databases including gray literature sources such as OpenGrey, ResearchGate, Google Scholar, Google, and websites of relevant associations were searched in November 2019. Screening and data extraction were performed in parallel by the reviewers. The included evidence is narratively described in terms of characteristics, evolution, and structural composition of framed middle-income countries, and include overlooked health care worker groups such as allied health professionals.
The effect of computer- or human-delivered personalized feedback on the effectivess of web-based behavior change platforms for weight loss is unclear.
We aimed to compare the effectiveness of a web-based behavior change intervention personalized through either computerized or human-delivered feedback with a nonpersonalized intervention in promoting weight loss in community-based adults with overweight or obesity.
This pragmatic, 3-group, parallel-arm, randomized trial recruited students and staff in a Brazilian public university who were aged 18 to 60 years, had a BMI of ≥25 kg/m
, and were not pregnant. Participants were allocated to one of 3 groups platform only (24-week behavior change program delivered using a web platform with personalized computer-delivered feedback), platform plus coaching (same 24-week web-based behavior change program plus 12 weeks of personalized feedback delivered online by a dietitian), or waiting list (nonpersonalized dietary and physical activity recommendations delivered Engagement was higher in the platform plus coaching group than in the platform-only group (7.6 vs 5.2 completed sessions; P=.007). Longer usage of the platform was associated with clinically meaningful (≥5%) weight loss (odds ratio 1.02, 95% CI 1.01 to 1.04).
The web-based behavior change programs with computer- and human-delivered personalized feedback led to greater, albeit small-magnitude, weight loss within 24 weeks. Improvement in multiple dietary habits, but not physical activity, were also greater in the personalized programs compared with the nonpersonalized one. The human-delivered personalized feedback by the online dietitian coach increased user engagement with the program and was associated with a significantly higher chance of clinically meaningful weight loss.
ClinicalTrials.gov NCT03435445; https//clinicaltrials.gov/ct2/show/NCT03435445.
RR2-10.2196/10.1186/s12889-018-5882-y.
RR2-10.2196/10.1186/s12889-018-5882-y.
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