mHealth最新文献

Background: Adolescent obesity remains a significant public health issue within the United States. Mobile application technology growth and popularity offer new opportunities for research and health improvement. The development of a consolidated mobile health application (mHealth app) for adolescents on these platforms has the potential to improve health outcomes. Thus, this study describes the co-development process working with adolescent users. The aims are as follows: (I) to explore the visual design and functional requirements when developing the CommitFit mHealth app, (II) to uncover the gamification techniques that incentivize adolescents to set and achieve healthy lifestyle goals, and (III) to identify adolescent expectations when using the CommitFit mHealth application.

Methods: In this mixed method study, we used semi-structured interviews/task analysis and surveys of adolescents (aged 13 to 15 years) to understand their user requirements and design preferences during the development of the CommitFit mHealth app. Interviews were conducted online, via Zoom. The survey included the user design industry-standard System Usability Scale (SUS) paired with a supplemental questionnaire on the specific features and functionalities of the CommitFit mHealth app. Participants were recruited from the electronic health record from the University of Missouri Healthcare system.

Results: Ten adolescents, aged 13 to 15 years (average of 13.6 years), were interviewed and surveyed to explore adolescent preferences with visual app design and functionality. Our inductive thematic analysis found that adolescents preferred colorful, user-friendly interfaces paired with gamification in the CommitFit mHealth app. Our analysis of SUS survey data validated our user-centered and human-system design and adolescents confirmed their design, feature, and functionality preferences. Overall, adolescent users were able to confirm their preference to have educational resources, goal recommendations, leaderboard, points, reminders, and an avatar in the app.

Conclusions: Adolescent feedback is crucial in the successful development of our adolescent-targeted mHealth app, CommitFit. Adolescents preferred vibrant colors, easy-to-use interface, gamification, customizable and personalized, and mature graphics. Adolescents were especially motivated by gamification techniques to maintain their interest in the application and their health behavior goals. Additional research is now needed to explore the clinical effectiveness of the CommitFit mHealth app, as a health and lifestyle intervention.

Background: Emerging research demonstrates telehealth disparities for patients who communicate in languages other than English. A better understanding of pediatric telehealth use with families who communicate in languages other than English is needed to inform interventions to promote telehealth equity.

Methods: We conducted a mixed methods study of telehealth care in a children's hospital health system using electronic health record data for outpatient video telehealth encounters from April 2020 to July 2021 and qualitative interviews with clinical staff and Spanish-speaking parents of telehealth patients.

Results: The 16-month study period included 102,387 telehealth encounters; 5% of which were encounters in languages other than English. 83% of languages other than English encounters were with patients/families with a preferred healthcare language of Spanish. 11% of providers conducted ≥10 languages other than English telehealth encounters. This subset of providers conducted 71% of all languages other than English encounters. We conducted 25 interviews with clinical staff (n=13) and parents (n=12). Common themes identified across interviews were: (I) technology barriers affect access to and quality of telehealth; (II) clinical staff and parents are uncertain about the future role of telehealth for patients/families who communicate in languages other than English; (III) the well-known impact of language barriers on in-person healthcare access and quality for patients who communicate in languages other than English is also evident in telehealth.

Conclusions: Patients who communicate in languages other than English were underrepresented among telehealth encounters and encounters were concentrated among few providers. Promoting equitable telehealth care requires investment to address technology barriers, increase the readiness of providers and clinics to provide telehealth care in languages other than English, and continued attention to reducing the healthcare impact of language barriers.

Background: Applying a digital health intervention to measure health and wellbeing status offers opportunities to guide and augment healthcare and promotion. In our scenario, we consider mainly digital-native patients and present an evaluation of a new Healthcare Magenta Scorecard towards this end.

Methods: Grounded in the six domains of health and promotion (physical activity; sleep quality; nutrition; habits/lifestyle; mental health; quality of life) we developed a health Magenta Scorecard (Magenta Score), a mobile based Electronic Patient Reported Outcomes (e-PRO) that measures patients health and wellbeing every 3-5 months. The Magenta Scorecard was derived from previously published evidence-based instruments. We collected data as patients were onboarded into our healthcare system (T0 and T1, time span between measurements, 141 days) and provided correlations among our domains of care.

Results: A total of 1,622 participants responded to T0 and T1 our Magenta Scorecard. Participants mean age was 31.3 [95% confidence interval (CI): 31.2-31.5] years and female (63.4%). Fifty-five percent (n=892) of our sample were categorized as relating to Health and Wellbeing promotion, 8.5% (n=138) disease management, 35.7% (n=579) self-care care support and only 0.8% (n=13) pertained to case management. From our care coordination guided approach, our Magenta Scorecards reported mean improvement across the study cohort of 26 ± standard deviation (SD) points, from T0 (649, 95% CI: 643-656) to T1 (675, 95% CI: 668-682). Our Magenta Scorecard domains had significant, albeit weak spearman correlations.

Conclusions: We demonstrated our Magenta Scorecard rationale and its guided approach. The Magenta Scorecard displayed adequate responsiveness and was significantly correlated across all of the domains investigated. Further prospective research is needed to validate our results in the long term.

Background: Excessive gestational weight gain is associated with negative maternal and infant health outcomes. Digital health approaches may help overcome barriers to participating in lifestyle interventions requiring in-person visits. The purpose of this study was to develop and examine the feasibility of a web-based gestational weight gain intervention.

Methods: Intervention development included feedback and input from pregnant women. We conducted a 12-week one-arm pilot study during which participants engaged in an online discussion board with coaches and other pregnant women, tracked their weight gain with an interactive graph, and accessed a list of online resources for pregnancy health. Feasibility outcomes were recruitment, retention, engagement and sustained participation, intervention acceptability, and website usability. Gestational weight gain was an exploratory outcome.

Results: Participants (n=12) were on average 16.8 [standard deviation (SD): 2.0] weeks gestation with average pre-pregnancy body mass index of 30.5 (SD: 4.8) kg/m². Participant retention was 92% (n=11). Participants logged into the website a median of 21 times [interquartile range (IQR), 8-37; range, 2-98] over 12 weeks, and 58% (n=7) logged into the website during the last week of the intervention. All participants said they would be very likely or likely to participate again, and 100% said they would be very likely or likely to recommend the intervention to a pregnant friend. In post-intervention interviews, 64% (n=7) explicitly said that the website was easy to use, but 100% (n=11) mentioned usability issues. When asked their preferred intervention platform, 18% (n=2) somewhat or strongly preferred a private website, 18% (n=2) had no preference, and 64% (n=7) somewhat or strongly preferred Facebook. Seventy percent (n=7) had excessive gestational weight gain, 10% (n=1) inadequate gestational weight gain, and 20% (n=2) gained within recommended ranges.

Conclusions: Additional development work is needed before moving to efficacy testing. Most notably, usability issues with the investigator-developed website and participant preference suggest a switch to a commercial social media platform.