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BackgroundIn the United States, millions of adolescents report poor mental health, where 1 in 5 teenagers considers suicide. Reducing stigma and fostering peer support remains critical for positive mental health interventions and programs. Increasingly, digital mental health tools have emerged with great promise, leveraging social networks. Despite the potential, limited understanding of such comprehensive programs and their implementation exist. ObjectiveThe objective of this study investigates a piloted digital mental health training program (Be Present) for youth, specifically describing the impact on youth behavioral outcomes and user engagement and identifying high-risk youth in the early phases of prevention. MethodsEligibility included Ohio residents (aged 14 to 22 years) to be enrolled as either a Friend or a Peer Advocate. From May 1 to June 1, 2019, participants completed the Advocate training course, taking pretest and posttest surveys. Single-arm descriptive analyses measured youth outcomes (self-efficacy, intentions, behaviors, social support, knowledge, and sources of strength) and engagement and assessed risk based on survey responses. ResultsA total of 65 adolescents participated, with 54 completing both pretest and posttest surveys. The majority of participants included non-Hispanic White females. Findings illustrated a significant increase in self-report of referrals for mental health services as well as in perceptions that youth had of experiencing social support; however, no significant differences were found for measures of self-efficacy, knowledge, and sources of strength between pretest and posttest surveys. Roughly two-thirds of the participants completed all of the Advocate training modules, and we observed a gradual decline in engagement. Most respondents who received escalated high-risk response messages identified as female. ConclusionsThe pilot presented promise for implementing a digital mental health program focused on peer support, specifically observing reported youth behavioral outcomes and user engagement and identifying high-risk youth. Various limitations exist given the small nonrepresentative sample and lack of control group. All findings should be considered preliminary to a larger trial and underscore the feasibility of delivering online training programs to bolster adolescent mental health. Such formative evaluation proved critical for future implementation and research, offering opportunity for substantial improvements for real-world digital mental health programs.

BackgroundMany mobile health (mHealth) technologies exist for patients with heart failure (HF). However, HF mhealth lacks evidence of efficacy, caregiver involvement, and clinically useful real-time data. ObjectiveWe aim to capture health care providers’ perceived value of HF mHealth, particularly for pairing patient–caregiver-generated data with clinical intervention to inform the design of future HF mHealth. MethodsThis study is a subanalysis of a larger qualitative study based on interviewing patients with HF, their caregivers, and health care providers. This analysis included interviews with health care providers (N=20), focusing on their perceived usefulness of HF mHealth tools and interventions. ResultsA total of 5 themes emerged: (1) bio-psychosocial-spiritual monitoring, (2) use of sensors, (3) interoperability, (4) data sharing, and (5) usefulness of patient-reported outcomes in practice. Providers remain interested in mHealth technologies for HF patients and their caregivers. However, providers report being unconvinced of the clinical usefulness of robust real-time patient-reported outcomes. ConclusionsThe use of assessments, sensors, and real-time data collection could provide value in patient care. Future research must continually explore how to maximize the utility of mHealth for HF patients, their caregivers, and health care providers.

BackgroundPregnancy complications in combination with postpartum weight retention lead to significant risks of cardiometabolic disease and obesity. The majority of traditional face-to-face interventions have not been effective in postpartum women. Mobile technology enables the active engagement of postpartum women to promote lifestyle changes to prevent chronic diseases. ObjectiveWe sought to employ an interactive, user-centered, and participatory method of development, evaluation, and iteration to design and optimize the mobile health (mHealth) Fit After Baby program. MethodsFor the initial development, a multidisciplinary team integrated evidence-based approaches for health behavior, diet and physical activity, and user-centered design and engagement. We implemented an iterative feedback and design process via 3 month-long beta pilots in which postpartum women with cardiometabolic risk factors participated in the program and provided weekly and ongoing feedback. We also conducted two group interviews using a structured interview guide to gather additional feedback. Qualitative data were recorded, transcribed, and analyzed using established qualitative methods. Modifications based on feedback were integrated into successive versions of the app. ResultsWe conducted three pilot testing rounds with a total of 26 women. Feedback from each pilot cohort informed changes to the functionality and content of the app, and then a subsequent pilot group participated in the program. We optimized the program in response to feedback through three iterations leading to a final version. ConclusionsThis study demonstrates the feasibility of using an interactive, user-centered, participatory method of rapid, iterative design and evaluation to develop and optimize a mHealth intervention program for postpartum women. Trial RegistrationClinicalTrials.gov NCT02384226; https://www.clinicaltrials.gov/ct2/show/NCT02384226

BackgroundMobile health (mHealth) provides a unique modality for improving access to and awareness of palliative care among patients, families, and caregivers from diverse backgrounds. Some mHealth palliative care apps exist, both commercially available and established by academic researchers. However, the elements of family support and family caregiving tools offered by these early apps is unknown. ObjectiveThe objective of this scoping review was to use social convoy theory to describe the inclusion and functionality of family, social relationships, and caregivers in palliative care mobile apps. MethodsUsing the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Review guidelines, a systematic search of palliative care mHealth included (1) research-based mobile apps identified from academic searches published between January 1, 2010, and March 31, 2019 and (2) commercially available apps for app stores in April 2019. Two reviewers independently assessed abstracts, app titles, and descriptions against the inclusion and exclusion criteria. Abstracted data covered app name, research team or developer, palliative care element, target audience, and features for family support and caregiving functionality as defined by social convoy theory. ResultsOverall, 10 articles describing 9 individual research-based apps and 22 commercially available apps were identified. Commercially available apps were most commonly designed for both patients and social convoys, whereas the majority of research apps were designed for patient use only. ConclusionsResults suggest there is an emerging presence of apps for patients and social convoys receiving palliative care; however, there are many needs for developers and researchers to address in the future. Although palliative care mHealth is a growing field, additional research is needed for apps that embrace a team approach to information sharing, target family- and caregiver-specific issues, promote access to palliative care, and are comprehensive of palliative needs.

BackgroundThe prevention of mother-to-child transmission (PMTCT) of HIV requires innovative solutions. Although routine monitoring is effective in some areas, standardized and easy-to-scale solutions to identify and monitor pregnant women, test them for HIV, and treat them and their children is still lacking. Mobile health (mHealth) offers opportunities for surveillance and reporting in rural areas of low- and middle-income countries. ObjectiveThe aim of this study was to document the preliminary impacts of the Tanzania Health Information Technology (T-HIT) system mHealth intervention aimed at health workers for PMTCT care delivery and capacity building in a rural area of Tanzania. MethodsWe developed T-HIT as a tablet-based system for an electronic data collection system designed to capture and report PMTCT data during antenatal, delivery, and postnatal visits in Misungwi, Tanzania. T-HIT was tested by health workers in a pilot randomized trial comparing seven sites using T-HIT assigned at random to seven control sites; all sites maintained standard paper record-keeping during the pilot intervention period. We compared numbers of antenatal visits, number of HIV tests administered, and women testing positive across all sites. ResultsHealth workers recorded data from antenatal visits for 1530 women; of these, 695 (45.42%) were tested for HIV and 3.59% (55/1530) tested positive. Health workers were unable to conduct an HIV test for 103 women (6.73%, 103/1530) because of lack of reagent, which is not captured on paper logs. There was no difference in the activity level for testing when comparing sites T-HIT to non-T-HIT sites. We observed a significant postintervention increase in the numbers of women testing positive for HIV compared with the preintervention period (P=.04), but this was likely not attributable to the T-HIT system. ConclusionsT-HIT had a high degree of acceptability and feasibility and is perceived as useful by health workers, who documented more antenatal visits during the pilot intervention compared with a traditional system of paper logs, suggesting potential for improvements in antenatal care for women at risk for HIV.

BackgroundAlthough family technical support seems intuitive, there is very little research exploring this topic.ObjectiveThe objective of this study was to conduct a subanalysis of data collected from a large-scale qualitative project regarding older adults' experiences in using health information technology. Specifically, the subanalysis explored older adults' experiences with technology support from family members to inform strategies for promoting older adults' engagement with new health technologies. Although the primary analysis of the original study was theoretically driven, this paper reports results from an inductive, open-coding analysis.MethodsThis is a subanalysis of a major code identified unexpectedly from a qualitative study investigating older adults' use experience of a widespread health technology, the patient portal. A total of 24 older patients (≥65 years) with multiple chronic conditions (Charlson Comorbidity Index >2) participated in focus groups conducted at the patients' primary clinic. While conducting the primary theoretically driven analysis, coders utilized an open-coding approach to ensure important ideas not reflected in the theoretical code book were captured. Open coding resulted in 1 code: family support. This subanalysis further categorized family support by who provided tech support, how tech support was offered, and the opinions of older participants about receiving family tech support.ResultsThe participants were not specifically asked about family support, yet themes around family assistance and encouragement for technology emerged from every focus group. Participants repeatedly mentioned that they called their grandchildren and adult children if they needed help with technology. Participants also reported that family members experienced difficulty when teaching technology use. Family members struggled to explain simple technology tasks and were frustrated by the slow teaching process.ConclusionsThe results suggest that older adults ask their family members, particularly grandchildren, to support them in the use of new technologies. However, family may experience difficulties in providing this support. Older adults will be increasingly expected to use health technologies, and family members may help with tech support. Providers and health systems should consider potential family support and engagement strategies to foster adoption and use among older patients.

Adult and community support may protect against sexual experience among immigrant youth, but it remains unknown whether this support confers protection equally across immigrant generations. Drawing on data from 852 race/ethnically diverse low-income youth recruited from Boys & Girls Clubs, we used mixed effect logistic regression models to examine associations between adult and community support and sexual experience and tested interactions to examine whether adult or community support influenced sexual experience differently across immigrant generations. As adult support increased, the odds of sexual experience decreased. However, adult support increased the odds of sexual experience for first-generation youth and decreased the odds in the second and third generations. Greater community support reduced the odds of sexual experience across all immigrant generations. Thus, adult support may not confer equal protection across all immigrant generations, suggesting youth of different immigrant generations have different needs.

Hypertension is among the most important risk factors for cardiovascular disease, chronic kidney disease, and dementia. The artificial intelligence (AI) field is advancing quickly, and there has been little discussion on how AI could be leveraged for improving the diagnosis and management of hypertension. AI technologies, including machine learning tools, could alter the way we diagnose and manage hypertension, with potential impacts for improving individual and population health. The development of successful AI tools in public health and health care systems requires diverse types of expertise with collaborative relationships between clinicians, engineers, and data scientists. Unbiased data sources, management, and analyses remain a foundational challenge. From a diagnostic standpoint, machine learning tools may improve the measurement of blood pressure and be useful in the prediction of incident hypertension. To advance the management of hypertension, machine learning tools may be useful to find personalized treatments for patients using analytics to predict response to antihypertension medications and the risk for hypertension-related complications. However, there are real-world implementation challenges to using AI tools in hypertension. Herein, we summarize key findings from a diverse group of stakeholders who participated in a workshop held by the National Heart, Lung, and Blood Institute in March 2023. Workshop participants presented information on communication gaps between clinical medicine, data science, and engineering in health care; novel approaches to estimating BP, hypertension risk, and BP control; and real-world implementation challenges and issues. [ABSTRACT FROM AUTHOR]

Social capital plays an important role in sexual and reproductive health among youth, yet few measures to assess this concept have been developed and tested for this population. We developed and examined the factor structure of the Brief Social Capital for Youth Sexual and Reproductive Health Scale. Drawing on the empirical literature, we identified item content to assess an overall construct of social capital in relationship to youth's sexual and reproductive health, including condom self-efficacy, civic engagement, and adult and community support. We conducted exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) with a sample of 200 youth, predominately low-income and ethnic minority in Denver, Colorado. EFA with geomax rotation yielded a three-factor solution. CFA provided an adequate model fit with acceptable standardized factor loadings. This study provides a validated measure for future research to further examine social capital and youth sexual and reproductive health.

Youth bear a significant proportion of the sexually transmitted infection (STI)/HIV burden in the United States, CDC, 2010. Available at: http://www.cdc.gov/std/stats09/default.htm, with rates of some STIs increasing among youth of color and young men who have sex with men. Technology use among youth also continues to increase. The ubiquitous nature of technology use among youth offers a multitude of opportunities to promote youth sexual health and to prevent disease transmission and unplanned pregnancies. To date, there have been a handful of peer-reviewed articles published regarding the feasibility, acceptability, and effectiveness of using new media and technology for sexual health promotion. Despite recent publications, there is still a real need for high-quality research to understand the impact of different forms of new media use on youth sexual health, as well as to determine the best ways to harness technology to promote safer sex behaviors, both for the short- and long-term. In March 2011, Internet Sexuality Information Services (ISIS), National Institute of Mental Health (NIMH), and the Ford Foundation convened a meeting of scientists and technology experts to discuss how to effectively conduct sexual health promotion research using new forms of technology. The meeting was structured to cover the following topic areas: (i) research-community partnerships, (ii) institutional review board and ethical issues, (iii) theoretical frameworks, (iv) intervention approaches, (v) recruitment methods, and (vi) assessing impact. Presentations included case studies of successful technology-based HIV/STI prevention interventions for youth, which led to broader discussions on how to conduct research in this area. This article summarizes the meeting proceedings, highlights key points, offers recommendations, and outlines future directions.

Fifty-one 18–22-year-old Ugandans took part in asynchronous online discussions about sexual decision-making. To increase generalizability and variability of experience, youth were recruited across the country using social media advertising. Participants were stratified into 8 groups by sex and sexual experience (e.g., women who had not had sex). Participants were asked questions such as, "What role do you think [men/women] play in deciding when a couple is going to play sex?" Several themes emerged. Both young men and women articulated social pressures to be abstinent, particularly to avoid STIs and pregnancy moreso than saving oneself for marriage. That said, women noted pressures to be seen as "pure". There also were pressures to have sex: Men were expected to have sex to demonstrate their virility. Women were expected to have sex if they accepted gifts or other commodities from their partners. It seemed that the specter of HIV and other STIs, as well as unwanted pregnancy, served to mitigate these expectations however, resulting in self-efficacy to use condoms among both men and women. Nonetheless, both men and women acknowledged that it could be hard for women to negotiate condoms. Implications for HIV prevention are discussed. [ABSTRACT FROM AUTHOR]

Objective: To document the integration of social science theory in literature on mHealth (mobile health) and consider opportunities for integration of classic theory, health communication theory, and social networking to generate a relevant theory for mHealth program design. Method: A secondary review of research syntheses and meta-analyses published between 2005 and 2014 related to mHealth, using the AMSTAR (A Measurement Tool to Assess Systematic Reviews) methodology for assessment of the quality of each review. High-quality articles from those reviews using a randomized controlled design and integrating social science theory in program design, implementation, or evaluation were reviewed. Results: There were 1,749 articles among the 170 reviews with a high AMSTAR score (=30). Only 13 were published from 2005 to 2014, used a randomized controlled design and made explicit mention of theory in any aspect of their mHealth program. All 13 included theoretical perspectives focused on psychological and/or psychosocial theories and constructs. Conclusions: There is a very limited use of social science theory in mHealth despite demonstrated benefits in doing so. We propose an integrated theory of mHealth that incorporates classic theory, health communication theory, and social networking to guide development and evaluation of mHealth programs.