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There is a mental health crisis in the United States that shows no signs of abating. Prevalence rates of mental disorders among both adults and children are rising and there are simply not enough mental health professionals to meet the growing demand. To address this problem, digital programs are being designed to diagnose and treat mental health conditions either adjunctively to a human clinician or as stand-alone treatments. Such developments hold great promise in ameliorating the mental health professional supply shortage. However, certain limitations of digital programs may prevent many users from desiring a digital psychotherapist. This paper surveys both the promise, and limitations, of digital psychotherapies. [ABSTRACT FROM AUTHOR]

Background: Opt2Move is a theory-guided moderate and vigorous physical activity (MVPA) promotion trial that uses multiphase optimization strategy (MOST) methodology to evaluate the individual and combined effects of four intervention components in a full factorial experiment among young adult cancer survivors (YACS; N = 304). All participants will receive the core mHealth MVPA intervention, which includes a Fitbit and standard self-monitoring Opt2Move smartphone application. YACS will be randomized to one of 16 conditions to receive between zero and four additional components each with two levels (yes v. no): E-Coach, buddy, general mindfulness, and MVPA-specific mindfulness. Objective: The primary aim is to determine the individual and combined effects of the components on MVPA post-intervention (12-weeks) and at 24-week follow-up. The secondary aim is to examine how changes in MVPA are associated with patient-reported outcomes, light-intensity activity, sedentary time, and sleep duration and quality. Potential mediators and moderators of component effects will also be examined. Results: Results will support the selection of a package of intervention components optimized to maximize MVPA to be tested in a randomized controlled trial. Conclusion: Opt2Move represents the first systematic effort to use MOST to design an optimized, scalable mHealth MVPA intervention for YACS and will lead to an improved understanding of how to effectively change YACS' MVPA and ultimately, improve health and disease outcomes. [ABSTRACT FROM AUTHOR]

Approximately 120,000 children in the United States are evaluated in the emergency department annually due to burn injuries. Studies have consistently documented that pediatric burns are among the most stressful events for caregivers, resulting in a wide range of emotions, including guilt, anxiety, grief, depression, and posttraumatic stress symptoms, as well as positive psychological changes, a phenomenon known as posttraumatic growth. The present pilot study aimed to explore the prevalence of elevated perceived stress as well as posttraumatic growth among caregivers of pediatric burn patients receiving outpatient burn care and using an mHealth burn platform to administer burn treatment. Our results demonstrated that, on average, caregivers endorsed similar or lower levels of perceived stress over the past 30 days compared to the general population of 30–44-year-old adults and only a third of caregivers reported elevated levels of perceived stress in the past 30 days. However, during the treatment phase, two-thirds of caregivers reported elevated levels of stress. Further, approximately half of the caregiver sample reported moderate to high levels of posttraumatic growth following their child's burn injury. This pilot study clarifies the level of the perceived stress that caregivers of burn-injured children experience, particularly during the treatment phase when they are responsible for their children's outpatient burn care (e.g., dressing changes). Additionally, the results shed light on the high prevalence of moderate to high posttraumatic growth in caregivers, with a prevalence rate similar to other trauma survivors. • Majority of caregivers reported elevated perceived stress during treatment phase • Higher levels of perceived stress during treatment than over past 30 days • Caregiver levels of posttraumatic growth similar to other trauma survivors • Caregivers could benefit from mental health resources with surgical burn care [ABSTRACT FROM AUTHOR]

Smartphone-based interventions offer a promising approach to address inactivity in people with knee osteoarthritis (OA). We explored perceptions towards smartphone-based interventions to improve physical activity, pain, and depressed mood in inactive people with knee pain. This qualitative study included six focus groups at Boston University with inactive people with knee pain (n = 35). A smartphone app, developed by our team, using constructs of Social Cognitive Theory, was used to obtain participant feedback. Participants discussed wanting to use smartphone-based interventions for personalized exercise advice, for motivation (e.g., customized voice messages, virtual incentives), and to make exercise "less boring" (e.g., music, virtual gaming). Preferred app features included video tutorials on how to use the app, the ability to select information that can be viewed on the home screen, and the ability to interact with clinicians. Features that received mixed responses included daily pain tracking, daily exercise reminders, peer-interaction for accountability, and peer-competition for motivation. All participants discussed privacy and health data security concerns while using the app. Using a co-design approach, we report preferences and concerns related to using smartphone-based physical activity interventions in inactive people with knee pain. This information may help improve acceptability of such interventions in this population. Knee Osteoarthritis (OA) is a leading cause of disability and chronic pain in middle- and older-age adults worldwide. Despite recommendations to be physically active, people with knee OA, especially those who experience depressive symptoms, are largely inactive. Smartphone-based interventions have the potential to improve physical activity in this population leading to improved pain, mood, and function. However, little is known about preferences for such interventions in individuals with knee pain who are inactive and who may also experience depressed mood. We examined the perceptions of inactive people with knee pain on using smartphone-based interventions to improve physical activity, pain, and mood, using an intervention framework grounded in Social Cognitive Theory as an example. We reported preferred app features in this population such as flexibility to view specific data, video tutorials on how to use the app, ability to interact with the clinician. We reported features that received mixed reviews such as daily pain tracking, daily reminders to exercise, peer-interaction and peer-competition for accountability and motivation respectively. Overall, people in our study wanted to use smartphone apps to improve motivation for exercise, to make exercise less boring, and to receive personalized exercise advise but they also had concerns related to privacy and health data security with using smartphone-based interventions [ABSTRACT FROM AUTHOR]

Background: Young Black gay and bisexual men (YBGBM) in the United States face significant disparities in HIV care outcomes. Mobile health (mHealth) interventions have shown promise with improving outcomes for YBGBM across the HIV care continuum. Methods: We developed an mHealth application using human-centered design (HCD) from 2019–2021 in collaboration with YBGBM living with HIV and with HIV service providers. Our HCD process began with six focus groups with 50 YBGBM and interviews with 12 providers. These insights were used to inform rapid prototyping, which involved iterative testing and refining of program features and content, with 31 YBGBM and 12 providers. We then collected user feedback via an online survey with 200 YBGBM nationwide and usability testing of a functional prototype with 21 YBGBM. Results: Focus groups and interviews illuminated challenges faced by YBGBM living with HIV, including coping with an HIV diagnosis, stigma, need for social support, and a dearth of suitable information sources. YBGBM desired a holistic approach that could meet the needs of those newly diagnosed as well as those who have been living with HIV for many years. Program preferences included video-based content where users could learn from peers and experts, a range of topics, a community of people living with HIV, and tools to support their health and well-being. Providers expressed enthusiasm for an mHealth program to improve HIV care outcomes and help them serve clients. Rapid prototyping resulted in a list of content topics, resources, video characteristics, community features, and mHealth tools to support adherence, retention, goal setting, and laboratory results tracking, as well as tools to help organization staff to support clients. Online survey and usability testing confirmed the feasibility, acceptability, and usability of the content, tools, and features. Conclusions: This study demonstrates the potential of a video-based mHealth program to address the unique needs of YBGBM living with HIV, offering support and comprehensive information through a user-friendly interface and videos of peers living with HIV and of experts. The HCD approach allowed for continuous improvements to the concept to maximize cultural appropriateness, utility, and potential effectiveness for both YBGBM and HIV service organizations. [ABSTRACT FROM AUTHOR]

University students often experience sleep disturbances and disorders. Personal digital technologies present a great opportunity for sleep health promotion targeting this population. However, studies that engage university students in designing and implementing digital sleep health technologies are scarce. This study sought to understand how we could build digital sleep health technologies that meet the needs of university students through a co-design process. We conducted three co-design workshops with 51 university students to identify design opportunities and to generate features for sleep health apps through workshop activities. The generated ideas were organized using the stage-based model of self-tracking so that our findings could be well-situated within the context of personal health informatics. Our findings contribute new design opportunities for sleep health technologies targeting university students along the dimensions of sleep environment optimization, online community, gamification, generative AI, materializing sleep with learning, and personalization. [ABSTRACT FROM AUTHOR]

Suboptimal adherence to oral PrEP medications, particularly among younger sexual minority men (SMM), continues to be a key barrier to achieving more substantial declines in new HIV infections. Although variety of interventions, including web and text-message-based applications, have successfully addressed PrEP adherence, very few have addressed the potential influence of alcohol. This pilot study explored whether the Game Plan for PrEP, a brief, web-based and text messaging intervention, helped promote PrEP persistence and adherence and reduced condomless sex and alcohol use. Seventy-three heavy-drinking SMM on PrEP were recruited online from states with Ending the HIV Epidemic jurisdictions and randomly assigned 1:1 to receive either the Game Plan for PrEP intervention or an attention-matched control. We collected online surveys assessing primary outcomes at one, three, and six months post-enrollment. As secondary outcomes, we also collected dried blood spot samples at baseline, three, and six months to analyze for biomarkers of PrEP and alcohol use. Our results showed that the odds of stopping PrEP or experiencing a clinically meaningful lapse in PrEP adherence (≥ 4 consecutive missed doses) were not different across the two conditions. We also did not find evidence of any differences in condomless sex or drinking outcomes across conditions, although participants in both conditions reported drinking less often over time. These findings were consistent across both self-reported outcomes and biomarkers. Overall, we did not find evidence that our brief, web and text messaging intervention encouraged more optimal PrEP coverage or moderate their alcohol use. [ABSTRACT FROM AUTHOR]

Background: Digital mental health technologies (DMHTs) have the potential to enhance mental health care delivery. However, there is little information on how DMHTs are evaluated and what factors influence their use. Objective: A systematic literature review was conducted to understand how DMHTs are valued in the United States from user, payer, and employer perspectives. Methods: Articles published after 2017 were identified from MEDLINE, Embase, PsycINFO, Cochrane Library, the Health Technology Assessment Database, and digital and mental health congresses. Each article was evaluated by 2 independent reviewers to identify US studies reporting on factors considered in the evaluation of DMHTs targeting mental health, Alzheimer disease, epilepsy, autism spectrum disorder, or attention-deficit/hyperactivity disorder. Study quality was assessed using the Critical Appraisal Skills Program Qualitative and Cohort Studies Checklists. Studies were coded and indexed using the American Psychiatric Association's Mental Health App Evaluation Framework to extract and synthesize relevant information, and novel themes were added iteratively as identified. Results: Of the 4353 articles screened, data from 26 unique studies from patient, caregiver, and health care provider perspectives were included. Engagement style was the most reported theme (23/26, 88%), with users valuing DMHT usability, particularly alignment with therapeutic goals through features including anxiety management tools. Key barriers to DMHT use included limited internet access, poor technical literacy, and privacy concerns. Novel findings included the discreetness of DMHTs to avoid stigma. Conclusions: Usability, cost, accessibility, technical considerations, and alignment with therapeutic goals are important to users, although DMHT valuation varies across individuals. DMHT apps should be developed and selected with specific user needs in mind. [ABSTRACT FROM AUTHOR]

Background: Heart rate variability (HRV) biofeedback is often performed with structured education, laboratory-based assessments, and practice sessions. It has been shown to improve psychological and physiological function across populations. However, a means to remotely use and monitor this approach would allow for wider use of this technique. Advancements in wearable and digital technology present an opportunity for the widespread application of this approach. Objective: The primary aim of the study was to determine the feasibility of fully remote, self-administered short sessions of HRV-directed biofeedback in a diverse population of health care workers (HCWs). The secondary aim was to determine whether a fully remote, HRV-directed biofeedback intervention significantly alters longitudinal HRV over the intervention period, as monitored by wearable devices. The tertiary aim was to estimate the impact of this intervention on metrics of psychological well-being. Methods: To determine whether remotely implemented short sessions of HRV biofeedback can improve autonomic metrics and psychological well-being, we enrolled HCWs across 7 hospitals in New York City in the United States. They downloaded our study app, watched brief educational videos about HRV biofeedback, and used a well-studied HRV biofeedback program remotely through their smartphone. HRV biofeedback sessions were used for 5 minutes per day for 5 weeks. HCWs were then followed for 12 weeks after the intervention period. Psychological measures were obtained over the study period, and they wore an Apple Watch for at least 7 weeks to monitor the circadian features of HRV. Results: In total, 127 HCWs were enrolled in the study. Overall, only 21 (16.5%) were at least 50% compliant with the HRV biofeedback intervention, representing a small portion of the total sample. This demonstrates that this study design does not feasibly result in adequate rates of compliance with the intervention. Numerical improvement in psychological metrics was observed over the 17-week study period, although it did not reach statistical significance (all P>.05). Using a mixed effect cosinor model, the mean midline-estimating statistic of rhythm (MESOR) of the circadian pattern of the SD of the interbeat interval of normal sinus beats (SDNN), an HRV metric, was observed to increase over the first 4 weeks of the biofeedback intervention in HCWs who were at least 50% compliant. Conclusions: In conclusion, we found that using brief remote HRV biofeedback sessions and monitoring its physiological effect using wearable devices, in the manner that the study was conducted, was not feasible. This is considering the low compliance rates with the study intervention. We found that remote short sessions of HRV biofeedback demonstrate potential promise in improving autonomic nervous function and warrant further study. Wearable devices can monitor the physiological effects of psychological interventions. [ABSTRACT FROM AUTHOR]

Background: Despite significant progress in our understanding of depression, prevalence rates have substantially increased in recent years. Thus, there is an imperative need for more cost-effective and scalable mental health treatment options, including digital interventions that minimize therapist burden. Objective: This study focuses on a fully automated digital implementation of behavioral activation (BA)--a core behavioral component of cognitive behavioral therapy for depression. We examine the efficacy of a 1-month fully automated SMS text message--based BA intervention for reducing depressive symptoms and anhedonia. Methods: To this end, adults reporting at least moderate current depressive symptoms (8-item Patient Health Questionnaire score ≥10) were recruited online across the United States and randomized to one of three conditions: enjoyable activities (ie, BA), healthy activities (ie, an active control condition), and passive control (ie, no contact). Participants randomized to enjoyable and healthy activities received daily SMS text messages prompting them to complete 2 activities per day; participants also provided a daily report on the number and enjoyment of activities completed the prior day. Results: A total of 126 adults (mean age 32.46, SD 7.41 years) with current moderate depressive symptoms (mean score 16.53, SD 3.90) were recruited. Participants in the enjoyable activities condition (BA; n=39) experienced significantly greater reductions in depressive symptoms compared to participants in the passive condition (n=46). Participants in both active conditions--enjoyable activities and healthy activities (n=41)--reported reduced symptoms of anxiety compared to those in the control condition. Conclusions: These findings provide preliminary evidence regarding the efficacy of a fully automated digital BA intervention for depression and anxiety symptoms. Moreover, reminders to complete healthy activities may be a promising intervention for reducing anxiety symptoms. [ABSTRACT FROM AUTHOR]

Background: Mental health conditions are highly prevalent among US veterans. The Veterans Health Administration (VHA) is committed to enhancing mental health care through the integration of measurement-based care (MBC) practices, guided by its Collect-Share-Act model. Incorporating the use of remote mobile apps may further support the implementation of MBC for mental health care. Objective: This study aims to evaluate veteran experiences with Mental Health Checkup (MHC), a VHA mobile app to support remote MBC for mental health. Methods: Our mixed methods sequential explanatory evaluation encompassed mailed surveys with veterans who used MHC and follow-up semistructured interviews with a subset of survey respondents. We analyzed survey data using descriptive statistics. We then compared responses between veterans who indicated having used MHC for ≥3 versus <3 months using Χ2 tests. We analyzed interview data using thematic analysis. Results: We received 533 surveys (533/2631, for a 20% response rate) and completed 20 interviews. Findings from these data supported one another and highlighted 4 key themes. (1) The MHC app had positive impacts on care processes for veterans: a majority of MHC users overall, and a greater proportion who had used MHC for ≥3 months (versus <3 months), agreed or strongly agreed that using MHC helped them be more engaged in their health and health care (169/262, 65%), make decisions about their treatment (157/262, 60%), and set goals related to their health and health care (156/262, 60%). Similarly, interviewees described that visualizing progress through graphs of their assessment data over time motivated them to continue therapy and increased self-awareness. (2) A majority of respondents overall, and a greater proportion who had used MHC for ≥3 months (versus <3 months), agreed/strongly agreed that using MHC enhanced their communication (112/164, 68% versus 51/98, 52%; P=.009) and rapport (95/164, 58% versus 42/98, 43%; P=.02) with their VHA providers. Likewise, interviewees described how MHC helped focus therapy time and facilitated trust. (3) However, veterans also endorsed some challenges using MHC. Among respondents overall, these included difficulty understanding graphs of their assessment data (102/245, 42%), not receiving enough training on the app (73/259, 28%), and not being able to change responses to assessment questions (72/256, 28%). (4) Interviewees offered suggestions for improving the app (eg, facilitating ease of log-in, offering additional reminder features) and for increasing adoption (eg, marketing the app and its potential advantages for veterans receiving mental health care). Conclusions: Although experiences with the MHC app varied, veterans were positive overall about its use. Veterans described associations between the use of MHC and engagement in their own care, self-management, and interactions with their VHA mental health providers. Findings support the potential of MHC as a technology capable of supporting the VHA's Collect-Share-Act model of MBC. [ABSTRACT FROM AUTHOR]

Background: Alcohol use disorders (AUD) are prevalent and often go untreated. Patients are commonly screened for AUD in primary care, but existing treatment programs are failing to meet demand. Digital therapeutics include novel mobile app-based treatment approaches which may be cost-effective treatment options to help fill treatment gaps. The goal of this study was to identify implementation needs and workflow design considerations for integrating digital therapeutics for AUD into primary care. Methods: We conducted qualitative interviews with clinicians, care delivery leaders, and implementation staff (n = 16) in an integrated healthcare delivery system in the United States. All participants had experience implementing digital therapeutics for depression or substance use disorders in primary care. Interviews were designed to gain insights into adaptations needed to optimize existing clinical processes, workflows, and implementation strategies for use with alcohol-focused digital therapeutics. Interviews were recorded and transcribed and then analyzed using a rapid analysis process and affinity diagramming. Results: Qualitative themes were well represented across health system staff roles. Participants were enthusiastic about digital therapeutics for AUD, anticipated high patient demand for such a resource, and made suggestions for successful implementation. Key insights regarding the implementation of digital therapeutics for AUD and unhealthy alcohol use from our data include: (1) implementation strategy selection must be driven by digital therapeutic design and target population characteristics, (2) implementation strategies should seek to minimize burden on clinicians given the large numbers of patients with AUD who are likely to be interested in and eligible for digital therapeutics, and (3) digital therapeutics should be offered alongside many other treatment options to accommodate individual patients' AUD severity and treatment goals. Participants also expressed confidence that previous implementation strategies used with other digital therapeutics such as clinician training, electronic health record supports, health coaching, and practice facilitation would be effective for the implementation of digital therapeutics for AUD. Conclusions: The implementation of digital therapeutics for AUD would benefit from careful consideration of the target population. Optimal integration requires tailoring workflows to meet anticipated patient volume and designing workflow and implementation strategies to meet the unique needs of patients with varying AUD severity. Contributions to the literature: Provides insights regarding the best ways to implement app-based treatments for alcohol use disorder (AUD) in primary care. Represents the perspectives of a variety of stakeholders including care delivery leaders, clinicians, and implementation staff. Identifies the following recommendations to improve the implementation of digital therapeutics for AUD: (1) plan for high patient volume, (2) support teams during implementation, and (3) account for individual patient needs. [ABSTRACT FROM AUTHOR]

Background and Aims: Individuals of lower socio‐economic status (SES) display a higher prevalence of smoking and have more diffxiculty quitting than higher SES groups. The current study investigates whether the within‐person associations of key risk (e.g. stress) and protective (self‐efficacy) factors with smoking lapse varies by facets of SES. Design and setting: Observational study using ecological momentary assessment to collect data for a 28‐day period following a smoking quit attempt. Multi‐level mixed models (i.e. generalized linear mixed models) examined cross‐level interactions between lapse risk and protective factors and indicators of SES on smoking lapse. Participants: A diverse sample of 330 adult US smokers who completed a larger study examining the effects of race/ethnicity and social/environmental influences on smoking cessation. Measurements: Risk factors included momentary urge, negative affect, stress; protective factors included positive affect, motivation, abstinence self‐efficacy; SES measures: baseline measures of income and financial strain; the primary outcome was self‐reported lapse. Findings Participants provided 43 297 post‐quit observations. Mixed models suggested that income and financial strain moderated the effect of some risk factors on smoking lapse. The within‐person association of negative [odds ratio (OR) = 0.967, 95% CI= 0.945, 0.990, P < 0.01] and positive affect (OR = 1.023, 95% CI = 1.003, 1.044, P < 0.05) and abstinence self‐efficacy (OR = 1.020, 95% CI = 1.003, 1.038, P < 0.05) on lapse varied with financial strain. The within‐person association of negative affect (OR = 1.005, 95% CI = 1.002, 1.008, P < 0.01), motivation (OR = 0.995, 95% CI = 0.991, 0.999, P < 0.05) and abstinence self‐efficacy (OR = 0.996, 95% CI = 0.993, 0.999, P < 0.01) on lapse varied by income. The positive association of negative affect with lapse was stronger among individuals with higher income and lower financial strain. The negative association between positive affect and abstinence self‐efficacy with lapse was stronger among individuals with lower financial strain, and the negative association between motivation and abstinence self‐efficacy with lapse was stronger among those with higher income. The data were insensitive to detect statistically significant moderating effects of income and financial strain on the association of urge or stress with lapse. Conclusion: Some risk factors (e.g. momentary negative affect) exert a weaker influence on smoking lapse among lower compared to higher socio‐economic status groups. [ABSTRACT FROM AUTHOR]

Mobile health applications have gained popularity in assisting high-risk, hard-to-reach groups in self-management of health conditions. One such population with high rates of health disparities comprises women under community supervision. In this review, we examine the literature on mHealth applications to address health disparities among women under community supervision. We searched CINAHL, PubMed, and PsycInfo for peer-reviewed research articles conducted in the U.S. After removal of duplicates, review of 231 article titles and abstracts and 36 articles for full-text review yielded five articles for analysis. Extracted data include author, year, design, sample, objectives, conclusions, measures, interventions and analytic approach. Of the five studies that addressed health disparities of individuals under community supervision, one was done with participants on probation, four with participants on medication therapy for substance use disorder, and one with participants in a drug court program. Only one article was specific to women or controlled for ethnicity. No studies were done with those on parole. None done with populations outside the U.S. Few studies focused on health disparities of women under community supervision. mHealth applications that address substance use, reproductive and sexual health, and safety issues specific to women under community supervision are warranted. mhealth apps can assist with alleviating health disparities in hard-to reach populations. Women on community supervision have unique health care needs based on their intersectionality. Conditions such as substance use disorder and violence often go under reported or undertreated. [ABSTRACT FROM AUTHOR]

The purpose of this study was to conduct formative research to inform the development of an app, that would simultaneously engage youth and adults, to prevent dating and sexual violence (DSV) and alcohol use (AU). Participants (N = 56) were high school students, parents/guardians, and professionals (e.g., school personnel) from across the United States who participated in online focus groups. Overall, participants had positive perceptions of the utility, helpfulness, and effectiveness of an app to prevent DSV and AU among high school students. Participants provided in depth information about both the content (e.g., local rates of DSV and AU) and features (e.g., skills‐based, inclusion of incentives, help button) that the app should include. These preliminary data suggest that future research to develop and pilot an app for both youth and adults to prevent DSV and AU among high school students is warranted. [ABSTRACT FROM AUTHOR]

Background: Maternal mortality in the United States is a public health crisis and national emergency. Missed or delayed recognition of preventable life-threatening symptoms and untimely treatment of preventable high-risk medical conditions have been cited as key contributors to the nation's worsening mortality rates. Effective strategies are urgently needed to address this maternal health crisis, particularly for Black birthing populations. Morbidity and Mortality Assessment: Lifting Outcomes Via Education (MAMA LOVE) is a web-based platform that focuses on the identification of maternal morbidity and mortality risk factors. Objective: The purpose of this paper is to present the conceptualization, development, heuristics, and utility evaluation of the web-based maternal mortality risk assessment and educational tool MAMA LOVE. Methods: A user-centered design approach was used to gain feedback from clinical experts and potential end users to ensure that the tool would be effective among groups most at risk for maternal morbidity and mortality. A heuristic evaluation was conducted to evaluate usability and need within the current market. Algorithms describing key clinical, mental health, and social conditions were designed using digital canvas software (Miro) and incorporated into the final wireframes of the revised prototype. The completed version of MAMA LOVE was designed in Figma and built with the SurveyJS platform. Results: The creation of the MAMA LOVE tool followed three distinct phases: (1) the content development and creation of an initial prototype; (2) the feedback gathering and usability assessment of the prototype; and (3) the design, development, and testing of the final tool. The tool determines the corresponding course of action using the algorithm developed by the authors. A total of 38 issues were found in the heuristic evaluation of the web tool's initial prototype. Conclusions: Maternal morbidity and mortality is a public health crisis needing immediate effective interventions. In the current market, there are few digital resources available that focus specifically on the identification of dangerous symptoms and risk factors. MAMA LOVE is a tool that can address that need by increasing knowledge and providing resources and information that can be shared with health care professionals. [ABSTRACT FROM AUTHOR]

Background: Cardiovascular disease (CVD) is the leading cause of death among women in the United States. A considerable number of young women already have risk factors for CVD. Awareness of CVD and its risk factors is critical to preventing CVD, yet younger women are less aware of CVD prevalence, its risk factors, and preventative behaviors compared to older women. Objective: The purpose of this study is to assess CVD awareness among adolescent and young adult women and develop a lifestyle-based cardiovascular risk assessment tool for the promotion of CVD awareness among this population. Methods: This study used a 3-phase iterative design process with young women and health care practitioners from primary care and reproductive care clinics in Atlanta, Georgia. In phase 1, we administered a modified version of the American Heart Association Women’s Health Survey to young women, aged 15-24 years (n=67), to assess their general CVD awareness. In phase 2, we interviewed young women, aged 13-21 years (n=10), and their health care practitioners (n=10), to solicit suggestions for adapting the Healthy Heart Score, an existing adult cardiovascular risk assessment tool, for use with this age group. We also aimed to learn more about the barriers and challenges to health behavior change within this population and the clinical practices that serve them. In phase 3, we used the findings from the first 2 phases to create a prototype of a new online cardiovascular risk assessment tool designed specifically for young women. We then used an iterative user-centered design process to collect feedback from approximately 105 young women, aged 13-21 years, as we adapted the tool. Results: Only 10.5% (7/67) of the young women surveyed correctly identified CVD as the leading cause of death among women in the United States. Few respondents reported having discussed their personal risk (4/67, 6%) or family history of CVD (8/67, 11.9%) with a health care provider. During the interviews, young women reported better CVD awareness and knowledge after completing the adult risk assessment tool and suggested making the tool more teen-friendly by incorporating relevant foods and activity options. Health care practitioners emphasized shortening the assessment for easier use within practice and discussed other barriers adolescents may face in adopting heart-healthy behaviors. The result of the iterative design process was a youth-friendly prototype of a cardiovascular risk assessment tool. Conclusions: Adolescent and young adult women demonstrate low awareness of CVD. This study illustrates the potential value of a cardiovascular risk assessment tool adapted for use with young women and showcases the importance of user-centered design when creating digital health interventions. [ABSTRACT FROM AUTHOR]

Youth living with HIV (YLWH) in the US have low rates of viral suppression (VS). In a prospective randomized clinical trial (ATN152) that enrolled 89 YLWH on antiretroviral therapy (ART) with detectable viral load, we evaluated a 12 week triggered escalating real-time adherence (TERA) intervention with remote coaching, electronic dose monitoring (EDM), and outreach for missed/delayed doses compared to standard of care (SOC). Median [Q1, Q3] percent days with EDM opening was higher in TERA (72% (47%, 89%)) versus SOC (41% (21%, 59%); p < 0.001) and incidence of numbers of 7 day gaps between openings were lower (TERA to SOC ratio: 0.40; 95% CI 0.30, 0.53; p < 0.001). There were no differences in VS at week 12 (TERA 35%; 95% CI 21%, 51% versus SOC 36%; 95% CI 22%, 51%; p > 0.99) or later time-points. The intervention improved adherence but not VS in heavily ART-experienced YLWH. Remote coaching more closely tailored to the unique dosing patterns and duration of need for youth struggling to reach VS warrants further investigation. [ABSTRACT FROM AUTHOR]

Background: Pediatric hospitals in the United States are increasingly leveraging patient-facing mobile apps as their digital front doors for patients, families, and caretakers. These mobile health apps are sanctioned by pediatric hospitals to inform the public or populations about pediatric care to provide individualized information, to enhance communication, and to improve patient experience. Yet the functionalities and user feedback of these hospital mobile apps have not been systematically investigated. Objective: Our aim was to understand the current state of hospital-owned mobile apps provided by large pediatric hospitals, comparatively analyze and report the services provided, and identify potential gaps to inform developers and providers. The American Hospital Association defines large hospitals as those having a bed count of more than 400. Methods: We conducted a systematic search on Google Play and Apple App Store to identify all hospital-owned mobile apps from the large pediatric hospitals included in our review. Our inclusion criteria were (1) apps provided by large pediatric hospitals; (2) hospital-owned apps available in Apple App Store and Google Play; and (3) apps that are provided for general populations. Specialty apps that serve specific user groups or populations focusing on education, telehealth, specific conditions or procedures, or apps intended for research or clinician use were excluded. The features and functionality of the included apps were examined. Results: Of the 16 pediatric hospitals included in our review, 4 (25%) had no general patient-facing apps, 4 (25%) had one app, and 8 (50%) had more than one app available on Google Play or Apple App Store. The 12 hospitals with at least one mobile app had a combined total of 72 apps. Of these 72 apps, 61 (85%) were considered specialty and were excluded from our review, leaving a total of 11 (15%) apps to analyze. Among the 11 apps analyzed, the most common feature was appointment scheduling or reminder (n=9, 82%). Doctor search (n=8, 73%) and patient resources (n=8, 73%) were the second most common, followed by payment, billing, or claims (n=7, 64%), patient portal integration (n=6, 55%), personal health management (n=6, 55%), hospital way finding (n=5, 45%), message a provider (n=4, 36%), urgent care wait times (n=4, 36%), video chat (n=4, 36%), and health information access (n=4, 36%). Parking information (n=3, 27%) was the least common. Conclusions: Out of the 16 pediatric hospitals identified for our review, 75% (n=12) offer mobile apps. Based on the most common features, these apps were intended to help improve accessibility for patients and families in terms of finding providers, scheduling appointments, and accessing patient resources. We believe the findings will inform pediatric hospital administrators, developers, and other stakeholders to improve app feature offerings and increase their impact on service accessibility and patient experience. [ABSTRACT FROM AUTHOR]

Introduction: The use of mobile technology (MT) in home-based occupational therapy is expected to continue growing. This study describes daily use patterns for MT and upper extremity (UE) home exercise programs (HEPs) for community-dwelling stroke survivors in the United States. Method: Cross-sectional survey. Data were analyzed using descriptive statistics and bivariate comparisons. Results: N = 61 (30 stroke and 31 controls). Individuals with stroke had similar levels of knowledge, skill, and use of MT compared with non-disabled age-matched adults. Stroke participants used MT more frequently for information searching, social media, and reminders compared to control participants. Stroke participants were motivated to improve UE function (93.3%) and reported a need for additional HEP training (56.7%). Perceived facilitators to improve UE use included talking to peers (73.3%), getting more information (73.3%), and talking to a therapist (63.3%). Conclusions: MT may have multiple potential benefits when integrated into occupational therapy practice including supporting instrumental ADLs, facilitating social connection, and increasing adherence to UE HEPs. Future work should focus on maximizing adherence and providing performance feedback through the use of social media to promote peer support and consistent remote communication using text messaging, phone calls, or video calls to deliver information and reminders on exercises. [ABSTRACT FROM AUTHOR]

Background. Several disparities exist for Black mothers during the postpartum period, including but not limited to increased maternal mortality and morbidity rates, decreased access to care, and limited access to resources. Given the racial discrepancies in attention to postpartum care, coupled with the critical importance of the postpartum period for preventing adverse maternal health outcomes, research is warranted to explore how mobile health (mHealth) applications may help to alleviate maternal health disparities by optimizing postpartum care and addressing barriers to care for postpartum Black women. Thus, this review examines the perceptions of mHealth applications and their utility in health outcomes among postpartum Black women. Methods. We undertook a comprehensive literature search using PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines. We included peer-reviewed articles published between 2010 and 2022 that were written in English, utilized mHealth as a primary intervention, and focused on postpartum health and access to resources, primarily among Black women in the United States. Results. A total of eight articles were included in our synthesis, encompassing mobile phone-based interventions for Black women. Cultural tailoring was included in five studies. Interventions that incorporated tailored content and fostered interactions reported high rates of follow-up. Conclusions. Tailored mHealth interventions can effectively promote behavior change and improve health care outcomes for Black women. However, there is a critical need for more research to assess user engagement and retention and whether these improvements indicate long-term sustainability.

Background: In the United States, e-cigarettes, or vapes, are the second most commonly used tobacco product. Despite abundant smartphone app-based cigarette cessation programs, there are few such programs for vaping and even fewer supporting data., Objective: This exploratory, prospective, single-arm, remote cohort study of the Pivot vaping cessation program assessed enrollment and questionnaire completion rates, participant engagement and retention, changes in attitudes toward quitting vaping, changes in vaping behavior, and participant feedback. We aimed to establish early data to inform program improvements and future study design., Methods: American adults aged ≥21 years who vaped daily, reported ≥5 vape sessions per day, and planned to quit vaping within 6 months were recruited on the web. Data were self-reported via app- and web-based questionnaires. Outcomes included engagement and retention (ie, weeks in the program, number of Pivot app openings, and number of messages sent to the coach), vaping attitudes (ie, success in quitting and difficulty staying quit), vaping behavior (ie, quit attempts, Penn State Electronic Cigarette Dependence Index, 7- and 30-day point-prevalence abstinence [PPA], and continuous abstinence [defined as ≥7-day PPA at 12 weeks+30-day PPA at 26 weeks+0 vaping sessions since 12 weeks]), and participant feedback., Results: In total, 73 participants onboarded (intention-to-treat sample); 68 (93%) completed the 12- and 26-week questionnaires (completer samples). On average, participants were active in Pivot for 13.8 (SD 7.3) weeks, had 87.3 (SD 99.9) app sessions, and sent 37.6 (SD 42.3) messages to their coach over 26 weeks. Mean success in quitting and difficulty staying quit (scale of 1-10) improved from baseline to 12 weeks-4.9 (SD 2.9) to 7.0 (SD 3.0) and 4.0 (SD 2.8) to 6.2 (SD 3.1), respectively (P<.001 in both cases). Most participants (64/73, 88%) made ≥1 quit attempt. At 26 weeks, intention-to-treat 7-day PPA, 30-day PPA, and continuous abstinence rates were 48% (35/73), 45% (33/73), and 30% (22/73), respectively. In total, 45% (33/73) of the participants did not achieve 7-day PPA at 26 weeks; their mean Penn State Electronic Cigarette Dependence Index score decreased from baseline (13.9, SD 3.1) to 26 weeks (10.8, SD 4.5; mean change -3.2, SD 3.9; P<.001); 48% (16/33) of these participants improved in the e-cigarette dependence category. At 2 weeks, 72% (51/71) of respondents reported that using Pivot increased their motivation to quit vaping; at 4 weeks, 79% (55/70) reported using Pivot decreased the amount they vaped per day., Conclusions: In this first evaluation of Pivot in adult daily vapers, questionnaire completion rates were >90%, average program engagement duration was approximately 14 weeks, and most participants reported increased motivation to quit vaping. These and early cessation outcomes herein suggest a role for Pivot in vaping cessation and will inform associated future study and program improvements., (©Jennifer D Marler, Craig A Fujii, MacKenzie T Utley, Daniel J Balbierz, Joseph A Galanko, David S Utley. Originally published in JMIR Formative Research (https://formative.jmir.org), 28.10.2024.)

Background: To expand veterans' access to health care, the Veterans Affairs (VA) Office of Connected Care explored a novel software feature called "Vitals" on its VA Video Connect telehealth platform. Vitals uses contactless, video-based, remote photoplethysmography (rPPG) through the infrared camera on veterans' smartphones (and other devices) to automatically scan their faces to provide real-time vital statistics on screen to both the provider and patient., Objective: This study aimed to assess VA clinical provider and veteran patient attitudes regarding the usability of Vitals., Methods: We conducted a mixed methods evaluation of Vitals among VA providers and patients, collecting data in July and August 2023 at the VA Boston Healthcare System and VA San Diego Healthcare System. We conducted analyses in October 2023. In-person usability testing sessions consisted of a think-aloud procedure while using the software, a semistructured interview, and a 26-item web-based survey., Results: Usability test sessions with 20 VA providers and 13 patients demonstrated that both groups found Vitals "useful" and "easy to use," and they rated its usability highly (86 and 82 points, respectively, on a 100-point scale). Regarding acceptability or willingness/intent to use, providers and patients generally expressed confidence and trust in Vitals readings, with high ratings of 90 and 85 points, respectively. Providers and patients rated Vitals highly for its feasibility and appropriateness for context (90 and 90 points, respectively). Finally, providers noted that Vitals' flexibility makes it appropriate and advantageous for implementation in a wide range of clinical contexts, particularly in specialty care. Providers believed that most clinical teams would readily integrate Vitals into their routine workflow because it saves time; delivers accurate, consistently collected vitals; and may reduce reporting errors. Providers and veterans suggested training and support materials that could improve Vitals adoption and implementation., Conclusions: While remote collection of vital readings has been described in the literature, this is one of the first accounts of testing a contactless vital signs measurement tool among providers and patients. If ongoing initiatives demonstrate accuracy in its readings, Vitals could enhance telemedicine by providing accurate and automatic reporting and recording of vitals; sending patients' vital readings (pending provider approval) directly to their electronic medical record; saving provider and patient time; and potentially reducing necessity of some home-based biometric devices. Understanding usability issues before US Food and Drug Administration approval of Vitals and its implementation could contribute to a seamless introduction of Vitals to VA providers and patients., (©Lynn Garvin, Eric Richardson, Leonie Heyworth, D Keith McInnes. Originally published in JMIR Formative Research (https://formative.jmir.org), 23.10.2024.)

The majority of Black women with hypertension in the United States have smartphones or tablets and use social media, and many use wearable activity trackers and health or wellness apps, digital tools that can be used to support lifestyle changes and medication adherence., (©Jolaade Kalinowski, Sandesh Bhusal, Sherry L Pagoto, Robert Newton Jr, Molly E Waring. Originally published in JMIR Cardio (https://cardio.jmir.org), 09.09.2024.)

Background: Prior studies have shown that cardiovascular disease (CVD) can be effectively managed through telehealth. However, there are little national data on the use of telehealth in people with CVD or CVD risk factors. We aimed to determine the prevalence of telehealth visits and visit modality (video versus audio-only) in people with CVD and CVD risk factors. We also assessed their rationale and satisfaction with telehealth visits., Methods and Results: A nationally representative sample of 6252 participants from the 2022 Health Information National Trends Survey 6 was used. We defined the CVD risk categories as having no self-reported CVD (coronary heart disease or heart failure) or CVD risk factors (hypertension, diabetes, obesity, or current smoking), CVD risk factors alone, and CVD. Multivariable logistic regression, adjusting for major sociodemographic factors, assessed the relationship between CVD risk and telehealth uptake. The weighted prevalence of using telehealth was 50% (95% CI, 44%-56%) for individuals with CVD and 40% (95% CI, 37%-43%) for those with CVD risk factors alone. Individuals with CVD had the highest odds of using any telehealth (audio-only or video) (adjusted odds ratio [OR], 2.02 [95% CI, 1.39-2.93]) when compared with those without CVD or CVD risk factors. Notably, 21% (95% CI, 16.3%-25.6%) of patients with CVD used audio-only visits (adjusted OR, 2.38 [95% CI, 1.55-3.64]) compared with patients without CVD or CVD risk factors., Conclusions: In a nationally representative survey, there was high prevalence of any (video or audio-only) telehealth visits in people with CVD, and audio-only visits comprised a significant proportion of telehealth visits in this population.

Background: Engaging adolescents and young adults (AYAs) who are at elevated risk for HIV acquisition or who are living with HIV in health care has posed a major challenge in HIV prevention and care efforts. Mobile health (mHealth) interventions are a popular and accessible strategy to support AYA engagement despite barriers to care present along the HIV care continuum. Even with progress in the field of mHealth research, expert recommendations for the process of designing, evaluating, and implementing HIV-related mHealth interventions are underdeveloped. Objective: The aim of this study was to compile expert recommendations on the development, evaluation, and implementation of AYA-focused HIV prevention and care mHealth interventions. Methods: Experts from adolescent mHealth HIV research networks and investigators of recently funded HIV mHealth projects and programs were identified and invited to complete a series of electronic surveys related to the design, implementation, and evaluation of HIV-related mHealth interventions. A modified Delphi method was used to ask experts to score 35 survey items on a 4-point Likert scale from not important to very important and encouraged experts to leave additional comments in textboxes. Responses were reviewed by the researchers, a team of 4 HIV mHealth intervention experts. The average importance ratings from survey responses were calculated and then categorized as retained (high importance), flagged (mid-level importance), or dropped (no/low importance). Additionally, thematic analysis of expert comments helped modify survey items for the next survey round. An evaluation of the level of agreement among experts on the most important items followed each round until consensus was reached. Results: Of the 35 invited experts, 23 completed the first survey representing a variety of roles within a research team. Following two rounds of Delphi surveys, experts scored 24 of the 28 (86%) survey items included in round two as important to very important. The final consensus items included 24 recommendations related to the mHealth intervention design process (n=15), evaluation (n=2), and implementation (n=7). The 3 survey items with the highest average scores focused on the design process, specifically, (1) the creation of a diverse team including researchers, app software developers, and youth representation; (2) the importance of AYA-focused content; and (3) the value of an iterative process. Additionally, experts highlighted the importance of establishing the best ways to collect data and the types of data for collection during the evaluation process as well as constructing a plan for participant technology disruption when implementing an mHealth intervention. Conclusions: The modified Delphi method was a useful tool to convene experts to determine recommendations for AYA-focused HIV prevention and care mHealth interventions. These recommendations can inform future mHealth interventions. To ensure the acceptability, feasibility, and efficacy of these AYA HIV prevention interventions, the focus must be on the specific needs of AYAs by including representation of AYAs in the process, including consistent and relevant content, ensuring appropriate data is collected, and considering technology and health accessibility barriers. [ABSTRACT FROM AUTHOR]

Background: Asthma causes substantial morbidity and mortality in the United States, particularly among African American emerging adults (AAEAs; aged 18-30 years), but very few asthma programs have targeted this population. Interventions that provide education and address underlying motivation for managing asthma may be the most effective. However, intensive face-to-face interventions are often difficult to implement in this population. Objective: The purpose of this study is to develop an effective mobile asthma management intervention to improve control among AAEAs. Methods: We will assess the ability of multiple technologic components to assist and improve traditional asthma education. The first component is the Motivational Enhancement System for asthma management. It is a mobile 4-session intervention using supported self-regulation and motivational interviewing. Personalized content is based on each participant's activity level, daily experiences, and goals. The second component is supportive accountability. It is administered by asthma nurses using targeted mobile support (Skype/voice calls) to provide education, promote self-efficacy, and overcome barriers through a motivational interviewing--based framework. The third component is SMS text messaging. It provides reminders for asthma education, medication adherence, and physical activity. The fourth component is physical activity tracking. It uses wearable technology to help meet user-defined physical activity goals. Using a multiphase optimization strategy (MOST) framework, we will test intervention components and combinations of components to identify the most effective mobile intervention. The MOST framework is an innovative, and cost- and time-effective framework that uses engineering principles to produce effective behavioral interventions. We will conduct a component selection experiment using a factorial research design to build an intervention that has been optimized for maximum efficacy, using a clinically significant improvement in asthma. Participants (N=180) will be randomized to 1 of 6 intervention arms. Participants will be recruited from multiple sites of the American Lung Association-Airway Clinical Research Centers network and ambulatory care clinics at the Detroit Medical Center. Data collections will occur at baseline, and 3, 6, and 12 months. Results: At study completion, we will have an empirically supported optimized mobile asthma management intervention to improve asthma control for AAEAs. We hypothesize that postintervention (3, 6, and 12 months), participants with uncontrolled asthma will show a clinically significant improvement in asthma control. We also hypothesize that improvements in asthma management behaviors (including physical activity), quality of life, symptoms, adherence, and exacerbation (secondary outcomes) will be observed. Conclusions: AAEAs are disproportionately impacted by asthma, but have been underrepresented in research. Mobile asthma management interventions may help improve asthma control and allow people to live healthier lives. During this project, we will use an innovative strategy to develop an optimized mobile asthma management intervention using the most effective combination of nurse-delivered asthma education, a smartphone app, and text messaging. [ABSTRACT FROM AUTHOR]

Background: Providing optimal care for type 2 diabetes (DM2) patients remains a challenge for all healthcare systems. Patients often encounter various barriers in adhering to self-management programs due to lack of knowledge and understanding of self-care activities, lack of individualized and coordinated care, inconvenient and costly education sessions, and poor patient-provider communication. Mobile technologies such as cell phones/smartphones, handheld tablets, and other wireless devices offer new and exciting opportunities for addressing some of these challenges. The purpose of this study is to compare a diabetes management strategy using an information board and a mobile application versus standard care in patients with uncontrolled DM2.Method: The SANENT (Sistema de Análisis de Enfermedades No Transmisibles) trial is a primary care-based, prospective, two-arm, randomized controlled, open-label, blinded-endpoint study. We aim to recruit 1440 DM2 patients during a period of 6 months until the requested number of participants has been achieved. The total length of the intervention will be 1 year. Both men and women treated for DM2 with an HbA1c > 8.5% and ≥ 20 years of age are eligible to participate in the study. The primary outcome of the study is improved diabetes control measured by changes in HbA1c in the study participants. HbA1c will be measured at baseline, 3-month, 6-month, 9-month, and 12-month follow-up visits in all participants. The main analysis will be based on the intention-to-treat principle. The primary endpoint of the study will be the change in HbA1C within the groups and the differences between the groups. This will be assessed by a repeated measurement approach based on mixed models which contain both fixed effects and random effects.Discussion: The overall goal of this project is to contribute to the evidence for the use of mobile technology to improve the treatment and regulation of poorly controlled DM2 patients living in Mexico. Our proposed project will show how mobile health technology tools can be used in the treatment of patients with uncontrolled DM2 in primary health care in a Latin American population, and particularly how they could help diabetes patients take better care of themselves.Trial Registration: ClinicalTrials.gov , US National Institutes of Health NCT04974333 . Prospectively registered on July 13, 2021. Protocol version number 1, dated August 15th, 2021. [ABSTRACT FROM AUTHOR]

Background: Sexual and gender minority (SGM) young people are disproportionately affected by HIV in the United States, and substance use is a major driver of new infections. People who use web-based venues to meet sex partners are more likely to report substance use, sexual risk behaviors, and sexually transmitted infections. To our knowledge, no machine learning (ML) interventions have been developed that use web-based and digital technologies to inform and personalize HIV and substance use prevention efforts for SGM young people., Objective: This study aims to test the acceptability, appropriateness, and feasibility of the uTECH intervention, a SMS text messaging intervention using an ML algorithm to promote HIV prevention and substance use harm reduction among SGM people aged 18 to 29 years who have sex with men. This intervention will be compared to the Young Men's Health Project (YMHP) alone, an existing Centers for Disease Control and Prevention best evidence intervention for young SGM people, which consists of 4 motivational interviewing-based counseling sessions. The YMHP condition will receive YMHP sessions and will be compared to the uTECH+YMHP condition, which includes YMHP sessions as well as uTECH SMS text messages., Methods: In a study funded by the National Institutes of Health, we will recruit and enroll SGM participants (aged 18-29 years) in the United States (N=330) to participate in a 12-month, 2-arm randomized comparison trial. All participants will receive 4 counseling sessions conducted over Zoom (Zoom Video Communications, Inc) with a master's-level social worker. Participants in the uTECH+YMHP condition will receive curated SMS text messages informed by an ML algorithm that seek to promote HIV and substance use risk reduction strategies as well as undergoing YMHP counseling. We hypothesize that the uTECH+YMHP intervention will be considered acceptable, appropriate, and feasible to most participants. We also hypothesize that participants in the combined condition will experience enhanced and more durable reductions in substance use and sexual risk behaviors compared to participants receiving YMHP alone. Appropriate statistical methods, models, and procedures will be selected to evaluate primary hypotheses and behavioral health outcomes in both intervention conditions using an α<.05 significance level, including comparison tests, tests of fixed effects, and growth curve modeling., Results: This study was funded in August 2019. As of June 2024, all participants have been enrolled. Data analysis has commenced, and expected results will be published in the fall of 2025., Conclusions: This study aims to develop and test the acceptability, appropriateness, and feasibility of uTECH, a novel approach to reduce HIV risk and substance use among SGM young adults., Trial Registration: ClinicalTrials.gov NCT04710901; https://clinicaltrials.gov/study/NCT04710901., International Registered Report Identifier (irrid): DERR1-10.2196/58448., (©Ian W Holloway, Elizabeth S C Wu, Callisto Boka, Nina Young, Chenglin Hong, Kimberly Fuentes, Kimmo Kärkkäinen, Mehrab Beikzadeh, Alexandra Avendaño, Juan C Jauregui, Aileen Zhang, Lalaine Sevillano, Colin Fyfe, Cal D Brisbin, Raiza M Beltran, Luisita Cordero, Jeffrey T Parsons, Majid Sarrafzadeh. Originally published in JMIR Research Protocols (https://www.researchprotocols.org), 20.08.2024.)

Background: Ecological momentary assessment (EMA) is a measurement methodology that involves the repeated collection of real-time data on participants' behavior and experience in their natural environment. While EMA allows researchers to gain valuable insights into dynamic behavioral processes, the need for frequent self-reporting can be burdensome and disruptive. Compliance with EMA protocols is important for accurate, unbiased sampling; yet, there is no "gold standard" for EMA study design to promote compliance., Objective: The purpose of this study was to use a factorial design to identify optimal study design factors, or combinations of factors, for achieving the highest completion rates for smartphone-based EMAs., Methods: Participants recruited from across the United States were randomized to 1 of 2 levels on each of 5 design factors in a 2×2×2×2×2 design (32 conditions): factor 1-number of questions per EMA survey (15 vs 25); factor 2-number of EMAs per day (2 vs 4); factor 3-EMA prompting schedule (random vs fixed times); factor 4-payment type (US $1 paid per EMA vs payment based on the percentage of EMAs completed); and factor 5-EMA response scale type (ie, slider-type response scale vs Likert-type response scale; this is the only within-person factor; each participant was randomized to complete slider- or Likert-type questions for the first 14 days or second 14 days of the study period). All participants were asked to complete prompted EMAs for 28 days. The effect of each factor on EMA completion was examined, as well as the effects of factor interactions on EMA completion. Finally, relations between demographic and socioenvironmental factors and EMA completion were examined., Results: Participants (N=411) were aged 48.4 (SD 12.1) years; 75.7% (311/411) were female, 72.5% (298/411) were White, 18.0% (74/411) were Black or African American, 2.7% (11/411) were Asian, 1.5% (6/411) were American Indian or Alaska Native, 5.4% (22/411) belonged to more than one race, and 9.6% (38/396) were Hispanic/Latino. On average, participants completed 83.8% (28,948/34,552) of scheduled EMAs, and 96.6% (397/411) of participants completed the follow-up survey. Results indicated that there were no significant main effects of the design factors on compliance and no significant interactions. Analyses also indicated that older adults, those without a history of substance use problems, and those without current depression tended to complete more EMAs than their counterparts. No other demographic or socioenvironmental factors were related to EMA completion rates. Finally, the app was well liked (ie, system usability scale score=82.7), and there was a statistically significant positive association between liking the app and EMA compliance., Conclusions: Study results have broad implications for developing best practices guidelines for future studies that use EMA methodologies., Trial Registration: ClinicalTrials.gov number NCT05194228; https://clinicaltrials.gov/study/NCT05194228., (©Michael S Businelle, Emily T Hébert, Dingjing Shi, Lizbeth Benson, Krista M Kezbers, Sarah Tonkin, Megan E Piper, Tianchen Qian. Originally published in the Journal of Medical Internet Research (https://www.jmir.org), 12.08.2024.)

Most alcohol intervention research focuses on program efficacy, yet few studies have investigated the acceptability of a program's design and implementation to the target population or adapting existing alcohol interventions to different populations. To address these gaps in the literature, we (1) examined participant responsiveness to and implementation quality of FITSTART+, a web-app delivered parent-based alcohol intervention designed for incoming first-year college students in the United States, and (2) gathered feedback on how this intervention could be adapted to other populations of parents. A sample of U.S. parents of 17-20-year-old first-year college students (N = 109) participated in FITSTART+ during their child's first year of college and completed a survey about parents' responsiveness to the app and its quality. Next, a sample of non-U.S. parents of adolescents aged 13 to 19 (N = 44) participated in one of 11 focus groups in which they briefly explored the app and then discussed how it could be adapted to be applicable and culturally relevant for them and their context. Results revealed that U.S. parents rated the intervention's quality as high and parents were responsive to the web-app's content, but some did not visit one of the most critical aspects of the intervention (i.e., alcohol-related parenting resources). Non-U.S. participants provided a range of suggestions for adapting the intervention to their context, which varied by culture. Results identify areas for improvement, particularly regarding the use of alcohol-related parenting resources, in this intervention and for web-delivered PBIs more broadly., (© 2024. The Author(s).)

This randomized controlled study assessed the feasibility, acceptability, and preliminary impact of the PrEP iT! mHealth intervention designed to improve PrEP adherence among young men who have sex with men (YMSM). A national sample of 80 YMSM in the U.S. (M age  = 25 years; 54% racial/ethnic minority), recruited through social media ads, were randomized to either the PrEP iT! or usual PrEP care conditions. Participants completed online surveys and submitted self-collected dried blood sample (DBS) data as measures of PrEP adherence. Differences in PrEP adherence across treatment arms and between participants with high versus low engagement in PrEP iT! were assessed. Retention was high at the three (94%) and six (93%) month assessment, and participants in PrEP iT! reported satisfactory acceptability of the intervention. There were no significant differences in self-reported or DBS-derived PrEP adherence between randomized groups. However, YMSM in the PrEP iT! group with high PrEP adherence (the equivalent of four or more doses/week through self-report and DBS-derived measures) demonstrated significantly higher engagement in the intervention than those with low PrEP adherence (the equivalent of 3 or fewer doses/week). Overall, the PrEP iT! intervention demonstrated strong feasibility and acceptability. The finding that high PrEP iT! intervention engagement was associated with protective levels of PrEP adherence suggests it is a viable adherence support tool that should be further evaluated in definitive trial among YMSM who need basic support, or as part of a more comprehensive adherence support package for those who need greater assistance.Trial registration Clinical Trials # NCT04509076 (registered August 10, 2020)., (© 2024. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.)

Background: Breast cancer is the leading cause of cancer mortality in Hispanic women in the USA. Current interventions to improve breast cancer care include the use of mHealth, but its application in Hispanic women is limited. This scoping review aimed to describe the extent of research literature on the use of mHealth throughout the breast cancer care continuum (prevention, early detection, and treatment) in Hispanic women., Methods: A scoping review guided by the Arksey and O'Malley methodological framework and the Joanna Briggs Institute scoping review reporting protocol. Literature search of peer-reviewed research articles from 2012 to 2022 in PubMed, Scopus, and CINAHL® was conducted in March and June 2022., Results: Of the 10 articles selected, seven included Hispanic breast cancer survivors and three included Hispanic women at risk for developing breast cancer. Seven articles involved mobile applications and three articles used text messaging and/or cell phone voicemail. Overall, the use of mHealth for breast cancer care in Hispanics was favorable but generalizability was limited given the type of design and small samples. All interventions were tailored to Hispanic culture., Conclusion: Scarcity of research on mHealth in Hispanic breast cancer care highlights healthcare disparities in this population. Evidence from this review suggests the use of mHealth to be beneficial to improving breast cancer care in Hispanics, but more research is needed involving randomized clinical trials and larger samples., (© 2023. W. Montague Cobb-NMA Health Institute.)

Background: Patient-driven innovation in health care is an emerging phenomenon with benefits for patients with chronic conditions, such as cystic fibrosis (CF). However, previous research has not examined what may facilitate or hinder the implementation of such innovations from the provider perspective., Objective: The aim of this study was to explain variations in the adoption of a patient-driven innovation among CF clinics., Methods: A comparative multiple-case study was conducted on the adoption of a patient-controlled app to support self-management and collaboration with health care professionals (HCPs). Data collection and analysis were guided by the nonadoption, abandonment, spread, scale-up, and sustainability and complexity assessment tool (NASSS-CAT) framework. Data included user activity levels of patients and qualitative interviews with staff at 9 clinics (n=8, 88.9%, in Sweden; n=1, 11.1%, in the United States). We calculated the maximum and mean percentage of active users at each clinic and performed statistical process control (SPC) analysis to explore how the user activity level changed over time. Qualitative data were subjected to content analysis and complexity analysis and used to generate process maps. All data were then triangulated in a cross-case analysis., Results: We found no evidence of nonadoption or clear abandonment of the app. Distinct patterns of innovation adoption were discernable based on the maximum end-user activity for each clinic, which we labeled as low (16%-23%), middle (25%-47%), or high (58%-95%) adoption. SPC charts illustrated that the introduction of new app features and research-related activity had a positive influence on user activity levels. Variation in adoption was associated with providers' perceptions of care process complexity. A higher perceived complexity of the value proposition, adopter system, and organization was associated with lower adoption. In clinics that adopted the innovation early or those that relied on champions, user activity tended to plateau or decline, suggesting a negative impact on sustainability., Conclusions: For patient-driven innovations to be adopted and sustained in health care, understanding patient-provider interdependency and providers' perspectives on what generates value is essential., (©Pamela Mazzocato, Jamie Linnea Luckhaus, Moa Malmqvist Castillo, Johan Burnett, Andreas Hager, Gabriela Oates, Carolina Wannheden, Carl Savage. Originally published in the Journal of Medical Internet Research (https://www.jmir.org), 31.07.2024.)

Background: Rising rates of psychological distress (symptoms of depression, anxiety, and stress) among adults in the United States necessitate effective mental wellness interventions. Despite the prevalence of smartphone app-based programs, research on their efficacy is limited, with only 14% showing clinically validated evidence. Our study evaluates Noom Mood, a commercially available smartphone-based app that uses cognitive behavioral therapy and mindfulness-based programming. In this study, we address gaps in the existing literature by examining postintervention outcomes and the broader impact on mental wellness., Objective: Noom Mood is a smartphone-based mental wellness program designed to be used by the general population. This prospective study evaluates the efficacy and postintervention outcomes of Noom Mood. We aim to address the rising psychological distress among adults in the United States., Methods: A 1-arm study design was used, with participants having access to the Noom Mood program for 16 weeks (N=273). Surveys were conducted at baseline, week 4, week 8, week 12, week 16, and week 32 (16 weeks' postprogram follow-up). This study assessed a range of mental health outcomes, including anxiety symptoms, depressive symptoms, perceived stress, well-being, quality of life, coping, emotion regulation, sleep, and workplace productivity (absenteeism or presenteeism)., Results: The mean age of participants was 40.5 (SD 11.7) years. Statistically significant improvements in anxiety symptoms, depressive symptoms, and perceived stress were observed by week 4 and maintained through the 16-week intervention and the 32-week follow-up. The largest changes were observed in the first 4 weeks (29% lower, 25% lower, and 15% lower for anxiety symptoms, depressive symptoms, and perceived stress, respectively), and only small improvements were observed afterward. Reductions in clinically relevant anxiety (7-item generalized anxiety disorder scale) and depression (8-item Patient Health Questionnaire depression scale) criteria were also maintained from program initiation through the 16-week intervention and the 32-week follow-up. Work productivity also showed statistically significant results, with participants gaining 2.57 productive work days from baseline at 16 weeks, and remaining relatively stable (2.23 productive work days gained) at follow-up (32 weeks). Additionally, effects across all coping, sleep disturbance (23% lower at 32 weeks), and emotion dysregulation variables exhibited positive and significant trends at all time points (15% higher, 23% lower, and 25% higher respectively at 32 weeks)., Conclusions: This study contributes insights into the promising positive impact of Noom Mood on mental health and well-being outcomes, extending beyond the intervention phase. Though more rigorous studies are necessary to understand the mechanism of action at play, this exploratory study addresses critical gaps in the literature, highlighting the potential of smartphone-based mental wellness programs to lessen barriers to mental health support and improve diverse dimensions of well-being. Future research should explore the scalability, feasibility, and long-term adherence of such interventions across diverse populations., (©Meaghan McCallum, Matthew Baldwin, Paige Thompson, Kelly Blessing, Maria Frisch, Annabell Ho, Matthew Cole Ainsworth, Ellen Siobhan Mitchell, Andreas Michaelides, Christine N May. Originally published in JMIR mHealth and uHealth (https://mhealth.jmir.org), 27.06.2024.)

Background: Young adults in the United States exhibit some of the highest rates of substance use compared to other age groups. Heavy and frequent substance use can be associated with a host of acute and chronic health and mental health concerns. Recent advances in ubiquitous technologies have prompted interest and innovation in using technology-based data collection instruments to understand substance use and associated harms. Existing methods for collecting granular, real-world data primarily rely on the use of smartphones to study and understand substance use in young adults. Wearable devices, such as smartwatches, show significant potential as platforms for data collection in this domain but remain underused., Objective: This study aims to describe the design and user evaluation of a smartwatch-based data collection app, which uses ecological momentary assessments to examine young adult substance use in daily life., Methods: This study used a 2-phase iterative design and acceptability evaluation process with young adults (aged 18-25 y) reporting recent alcohol or cannabis use. In phase 1, participants (8/15, 53%) used the data collection app for 14 days on their Apple Watches to report their substance use patterns, social contexts of substance use, and psychosocial risk factors (eg, affect). After this 14-day deployment, the participants completed a user experience survey and a semistructured interview to record their perspectives and experiences of using the app. Formative feedback from this phase informed feature modification and refinement of the app. In phase 2, an additional cohort (7/15, 47%) used the modified app for 14 days and provided feedback through surveys and interviews conducted after the app use period., Results: Analyses of overall app use patterns indicated high, consistent use of the app, with participants using the app for an average of 11.73 (SD 2.60) days out of 14 days of data collection. Participants reported 67 instances of substance use throughout the study, and our analysis indicates that participants were able to respond to ecological momentary assessment prompts in diverse temporal and situational contexts. Our findings from the user experience survey indicate that participants found the app usable and functional. Comparisons of app use metrics and user evaluation scores indicate that the iterative app design had a measurable and positive impact on users' experience. Qualitative data from the participant interviews highlighted the value of recording substance use patterns, low disruption to daily life, minimal overall burden, preference of platforms (smartphones vs smartwatches), and perspectives relating to privacy and app use in social contexts., Conclusions: This study demonstrated the acceptability of using a smartwatch-based app to collect intensive, longitudinal substance use data among young adults. The findings document the utility of smartwatches as a novel platform to understand sensitive and often-stigmatized behaviors such as substance use with minimal burden., (©Sahiti Kunchay, Ashley N Linden-Carmichael, Saeed Abdullah. Originally published in JMIR Human Factors (https://humanfactors.jmir.org), 20.06.2024.)

Purpose of Review: Despite continuous innovations and federal investment to create digital interventions addressing the HIV prevention and care continua, these interventions have not reached people in the U.S. at scale. This article reviews what is known about U.S. implementation of digital HIV interventions and presents a strategy to cross the research-to-practice chasm for these types of interventions., Recent Findings: We conducted a narrative review of U.S.-based original research on implementation of digital HIV interventions and identified few studies reporting on implementation determinants, strategies, processes, or outcomes, particularly outside the context of effectiveness trials. To supplement the literature, in 2023, we surveyed 47 investigators representing 64 unique interventions about their experiences with implementation after their research trials. Respondents placed high importance on intervention implementation, but major barriers included lack of funding and clear implementation models, technology costs, and difficulty identifying partners equipped to deliver digital interventions. They felt that responsibility for implementation should be shared between intervention developers, deliverers (e.g., clinics), and a government entity. If an implementation center were to exist, most respondents wanted to be available for guidance or technical assistance but largely wanted less involvement. Numerous evidence-based, effective digital interventions exist to address HIV prevention and care. However, they remain "on the shelf" absent a concrete and sustainable model for real-world dissemination and implementation. Based on our findings, we call for the creation of national implementation centers, analogous to those in other health systems, to facilitate digital HIV intervention delivery and accelerate progress toward ending the U.S. epidemic., (© 2024. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.)

This scoping review of mHealth research focuses on intervention studies that utilize mobile technologies to promote behavior change and improve health outcomes in U.S. Latinx communities. 342 mHealth articles were reviewed using PRIMSA protocols; most did not include a majority Latinx study population or did not report on an intervention. The final sample resulted in 23 articles published between 2012 and 2020. Reviewed interventions focused on conditions such as: diabetes, depression, substance abuse, obesity, hypertension, maternal health, and farmworker safety. About one-third of mHealth interventions included mobile applications, the rest were limited to texting programs. Text message reminders can help improve medication adherence and care access, especially when coupled with support from community health workers. Bi-directional text message interventions with feedback loops and personalized treatment options can build user agency. Additionally, multi-modal applications that combine texting with self-guided interactive content show promise for culturally tailored mHealth. [ABSTRACT FROM AUTHOR]

Telehealth is now a fundamental health approach to address health-related needs in a way that is consistent with the restrictions imposed by the coronavirus pandemic (COVID-19) globally. [ABSTRACT FROM AUTHOR]

Objective: To evaluate the effectiveness of Health-E You/Salud iTu, a mobile health application (app), on increasing knowledge, self-efficacy and contraception use among Latina adolescents, its impact on visit quality, and app satisfaction.Study Design: This study used cluster-randomized controlled trial (CRCT) of 18 school-based health centers (SBHCs). Prior to the visit, intervention participants received the patient-centered contraceptive decision-making support app and controls answered sexual health questions on iPads. Participants completed a previsit questionnaire and 3 follow-up surveys (48 hours, 3-, and 6-months) after the recruitment visit (where intervention participants completed the app). Differences in adolescents' contraceptive knowledge, self-efficacy, and use over the 6-month follow-up were assessed by generalized mixed effects regression models.Results: A total of 1,360 Latina adolescents participated; 57.2% responded to the 48-hour survey, 50.1% to the 3-month, 49.7% to the 6-month, and 42.3% to both the 3- and 6-month surveys. Health-E You users' demonstrated significant increases in pre-post knowledge (p < 0.001). Intervention participants who completed the follow-up survey reported greater increases in mean self-efficacy from baseline (23.2 intervention vs. 22.5 controls) to 6 months (26.1 vs. 23.4; b = 1.58, 95% CI 0.38-2.77, p = 0.01), and greater increases in non-barrier contraceptive use from baseline (29% intervention vs. 30% controls) to 3 months (63% vs. 45%; OR = 3.29, 95% CI 1.04-10.36, p = 0.04) and 6 months (63% vs. 44%; OR = 5.54, 95% CI 1.70-18.06, p = 0.005). Providers and adolescents reported high app satisfaction and stated it improved visit quality.Conclusions: While data suggest that Health-E You improved outcomes, findings must be interpreted cautiously. Intervention participants had higher baseline sexual activity rates, more recruitment visits for pregnancy testing, emergency contraception or birth control, and lower completion rates of follow-up surveys than controls.Implications: Despite declines in adolescent pregnancy in the United States, Latinas continue to have disproportionately high rates compared to white females. The Health-E You app may be an effective support tool for both adolescents and providers in SBHCs, and possibly other clinical settings, across the country to increase contraceptive use and thereby decrease unintended pregnancies. It could potentially reduce disparities in adolescent pregnancies and create more efficient visit time spent between clients and their providers. [ABSTRACT FROM AUTHOR]

Mobile apps have increasingly become an innovative tool that can provide information and resources to those who have service needs but often lack access to and knowledge about how to improve their well-being in today's society. In China, although the number of Internet users has increased substantively, there has been little discussion on how mobile apps can help social workers in their delivery of behavioral health services. This article features three highly used apps that facilitate behavioral health care service delivery in the United States and provides recommendations for developing apps for social work practice in China. [ABSTRACT FROM AUTHOR]

Purpose: Although targeted psychosocial programming for adolescents and young adults (AYAs) with advanced cancer is a well-described priority, how best to engage AYAs in that programming is less clear. We aimed to examine AYA perspectives on facilitators and barriers to utilization of psychosocial programs and preferred mode of delivery. Methods: In this nested cohort study, AYAs participated in semistructured 1:1 interviews on communication needs. The present analysis focused on questions regarding psychosocial program delivery. Data were analyzed using directed content analysis followed by thematic content analysis to further organize and refine identified global themes and organizational themes. Results: We interviewed 32 patients (Mage = 18, range 14–25, 41% female). Key facilitators to utilization of psychosocial services by AYAs were to (1) align in importance of coping skills, (2) emphasize AYA self-motivation and agency in approach and introduction to services, and (3) offer services to everyone and at multiple timepoints. Key AYA barriers included (1) considering themselves an exception to the rule when discussing the psychosocial needs of AYAs with cancer, (2) the challenge of starting something new, and (3) reluctance to share emotional problems with psychosocial clinicians. Regarding the mode of delivery, some preferred in-person delivery due to opportunities for developing a close relationship and therapeutic rapport-building. Mobile app-based delivery was universally appealing. Conclusion: We provide a potential framework to increase uptake of psychosocial services in the high needs population of AYAs with advanced cancer. Future research will explore implementation strategies for increasing AYA engagement in psychosocial intervention programs. [ABSTRACT FROM AUTHOR]

Unfortunately, many patients in the United States experience disparities in access to surgical care, including geographic constraints, limited transportation and time, and financial hardships. Living in a "surgical care desert" results in a delay in care, driving up health care costs and reducing quality of care. In the age of COVID-19, patient access to health care has been further diminished by physical distancing guidelines, naturally increasing the need for innovative telehealth solutions. In this review, we focus on using smartphones for mobile health technology (mHealth) in the delivery of surgical care. This study is aimed at a general surgical audience that may be interested in exploring how mHealth can improve both access and health care quality for surgical patients and their families. We review the current uses of mHealth by surgeons for surgical site infection, new models of the perioperative surgical home, acute care surgical triage, remote patient monitoring devices, and evaluation and management of surgical consultations in the patient's home. We also review institutional and governmental barriers to the adoption of mHealth and offer some preliminary solutions that may aid the surgeon who wishes to implement this technology in their day-to-day practice. [ABSTRACT FROM AUTHOR]

Background: The use of health and fitness apps has been on the rise to monitor personal fitness and health parameters. However, recent research discovered that many users discontinue using these apps after only a few months. Gamification has been suggested as a technique to increase users' interactions with apps. Nevertheless, it is still not clear how gamification mechanisms encourage continued use and inspire user self-management. Objective: The main objective of this study was to articulate how gamification mechanisms in studies of designing and using health and fitness apps can contribute to the realization of information technology (IT) identity and positive behavioral outcomes. The broader goal was to shed light on how gamification mechanisms will translate into positive use behaviors in the context of mobile health apps. Methods: Data were collected from 364 users of health and fitness apps through an online survey to empirically examine the proposed model. Results: Based on identity theories, this study suggests the fully mediating role of IT identity to describe how gamification elements can lead to continued intention to use health and fitness apps, and increase users' tendency for information sharing through the apps. The findings indicate that perceived gamification can increase users' IT identity. In turn, a higher IT identity would encourage users to continue using the apps and share more personal health information with others through the apps. Conclusions: The results of this study can have practical implications for app designers to use gamification elements to increase users' dependency, relatedness, and emotional energy associated with health apps. Moreover, the findings can have theoretical contributions for researchers to help better articulate the process in which gamification can be translated into positive use behaviors. [ABSTRACT FROM AUTHOR]

A major obstacle to mental health treatment for many Americans is accessibility: the United States faces a shortage of mental health providers, resulting in federally designated shortage areas. Although digital mental health treatments (DMHTs) are effective interventions for common mental disorders, they have not been widely adopted by the U.S. health care system. National and international expert stakeholders representing health care organizations, insurance companies and payers, employers, patients, researchers, policy makers, health economists, and DMHT companies and the investment community attended two Banbury Forum meetings. The Banbury Forum reviewed the evidence for DMHTs, identified the challenges to successful and sustainable implementation, investigated the factors that contributed to more successful implementation internationally, and developed the following recommendations: guided DMHTs should be offered to all patients experiencing common mental disorders, DMHT products and services should be reimbursable to support integration into the U.S. health care landscape, and an evidence standards framework should be developed to support decision makers in evaluating DMHTs. [ABSTRACT FROM AUTHOR]

Background: Older adolescence (ages 15–18) is a critical period for experimentation with substance use, especially alcohol. Adolescent drinking poses hazards to physical and mental health, amplifies risk associated with other activities typically initiated during this life stage (e.g., driving, sexual activity), and is associated with adverse outcomes in adolescence and adulthood. Existing preventative interventions are expensive and have questionable long-term efficacy. Digital interventions may represent an accessible and personalized approach to providing preventative intervention content to youth. Methods: This study recruited 29 adolescents aged 16–18 (M = 17.24, SD = 0.74) for a pilot feasibility trial of the MobileCoach-Teen (MC-Teen) smartphone app-based intervention. The study team randomized participants to receive either the alcohol intervention (MC-Teen) or attention control pseudo-intervention (MC-Fit). MC-Teen participants received 12 weeks of content adapted from a prior Swiss-based trial of a preventative alcohol intervention. Participants provided qualitative and quantitative feedback at baseline, via six biweekly surveys during and post-intervention. Results: Both groups rated the application as easy to download (M = 4.31, SD = 0.93; 5-point Likert). All participants completed the baseline survey in less than the estimated time of 10 min (M = 7:42, SD = 2:15) and rated the survey as easy to complete (M = 4.69, SD = 0.60; 5-point Likert). MC-Teen participants favorably assessed application user experience, message user experience, and digital working alliance with application. Qualitative themes included a desire for increased rate/amount and diversity of content, greater representation via coach options, user interface/user experience improvements, and additional features. Conclusion: The MC-Teen intervention is feasible and acceptable based on a pilot feasibility trial with a sample of U.S. adolescents. • Youth participants were able to quickly and easily download the MC-Teen application • 100% of participants reported prior use of a phone password and agreed to maintain use throughout the study • The application consistently delivered intervention content to participants (96% reported receipt across conditions) • Ratings of usability, acceptability, and digital working alliance with app were positive • Qualitative feedback included desire for increased avatar diversity, more personalization, and increased message frequency. [ABSTRACT FROM AUTHOR]

Background: Despite significant advancements in healthcare technology, digital health solutions – especially those for serious mental illnesses – continue to fall short of their potential across both clinical practice and efficacy. The utility and impact of medicine, including digital medicine, hinges on relationships, trust, and engagement, particularly in the field of mental health. This paper details results from Phase 1 of a two-part study that seeks to engage people with schizophrenia, their family members, and clinicians in co-designing a digital mental health platform for use across different cultures and contexts in the United States and India. Methods: Each site interviewed a mix of clinicians, patients, and their family members in focus groups (n = 20) of two to six participants. Open-ended questions and discussions inquired about their own smartphone use and, after a demonstration of the mindLAMP platform, specific feedback on the app's utility, design, and functionality. Results: Our results based on thematic analysis indicate three common themes: increased use and interest in technology during coronavirus disease 2019 (COVID-19), concerns over how data are used and shared, and a desire for concurrent human interaction to support app engagement. Conclusion: People with schizophrenia, their family members, and clinicians are open to integrating technology into treatment to better understand their condition and help inform treatment. However, app engagement is dependent on technology that is complementary – not substitutive – of therapeutic care from a clinician. [ABSTRACT FROM AUTHOR]

Background: Children with cancer have difficulty identifying and describing the multiple symptoms they experience during hospitalization and between clinical encounters. Mobile health resources, including apps, are potential solutions to support child-centric symptom reporting. This study evaluated the feasibility and acceptability of a newly developed game-based symptom-reporting app for school-age children with cancer. Procedure: Nineteen school-age children (6–12 years of age) receiving treatment for cancer at a COG institution in the Intermountain West of the United States used a game-based symptom-reporting app between clinical visits. Feasibility was evaluated through a summary of actual days of app use and interaction with each of the app's features. Children and their parents participated in interviews regarding the app's acceptability. Results: Children used the app a median of 4 days (range 1–12) and interacted most frequently with the symptom reporting and the drawing features. Children enjoyed aspects of the app that supported their creativity and provided choices. Parents endorsed the interactive nature of the app and the value of the child providing his/her own report. Both children and parents identified additional opportunities to enhance the child's user experience. Conclusion: Study results support the preliminary feasibility and acceptability of the app. Children's and parents' responses supported the developmental relevance of the app and its role in enhancing the child's autonomy and serving as an outlet for creativity. Future directions include optimizing the child user's experience and investigating the app's role as a resource to enhance shared decision-making for symptom management. [ABSTRACT FROM AUTHOR]

Introduction: Black and Hispanic adults are disproportionately burdened by cardiometabolic disorders. The aim of this systematic review was to examine the effectiveness of mobile health technologies to promote disease prevention and self-management among US adults in diverse communities., Methods: Potential studies were identified using a comprehensive search of the PubMed and EMBASE databases for recent studies published from December 2018 through 2021. Keywords and search strategies were established to focus on health disparity populations and the application of mobile health technology for cardiovascular disease risk reduction. Titles and abstracts were assessed and, if a study was eligible, 2 independent reviewers completed a full-length review with extraction in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines., Results: A total of 13 studies met our inclusion criteria. Study sample sizes ranged from 8 to 533 baseline participants. Studies were conducted in diverse communities (eg, North Carolina and California). Most studies used mobile applications (n=11) and a majority used accelerometers or similar technologies (eg, smartwatches) to assess changes in dietary behavior, blood pressure control, and physical activity. Overall, studies reported positive associations between mobile technology use and risk factor reduction actions and behaviors. Long-term adherence varied across studies. Those that prioritized culturally tailored approaches reported more significant impacts than those that did not., Conclusions: Evidence suggests that mobile technology may be useful in promoting disease self-management and risk reduction among populations at higher risk of cardiometabolic diseases. The use of mobile health technologies, particularly when tailored to target populations, may be a practical approach to advancing population health equity., Competing Interests: Conflict of Interest: No conflicts of interest reported by authors.

Background: Little is known about sexual minority adults' willingness to use digital health tools, such as pandemic-related tools for screening and tracking, outside of HIV prevention and intervention efforts for sexual minority men, specifically. Additionally, given the current cultural climate in the United States, heterosexual and sexual minority adults may differ in their willingness to use digital health tools, and there may be within-group differences among sexual minority adults., Objective: This study compared sexual minority and heterosexual adults' willingness to use COVID-19-related digital health tools for public health screening and tracking and tested whether sexual minority adults differed from each other by age group, gender, and race or ethnicity., Methods: We analyzed data from a cross-sectional, national probability survey (n=2047) implemented from May 30 to June 8, 2020, in the United States during the height of the public health response to the COVID-19 pandemic. Using latent-variable modeling, heterosexual and sexual minority adults were tested for differences in their willingness to use digital health tools for public health screening and tracking. Among sexual minority adults, specifically, associations with age, gender, and race or ethnicity were assessed., Results: On average, sexual minority adults showed greater willingness to use digital health tools for screening and tracking than heterosexual adults (latent factor mean difference 0.46, 95% CI 0.15-0.77). Among sexual minority adults, there were no differences by age group, gender, or race or ethnicity. However, African American (b=0.41, 95% CI 0.19-0.62), Hispanic or Latino (b=0.36, 95% CI 0.18-0.55), and other racial or ethnic minority (b=0.54, 95% CI 0.31-0.77) heterosexual adults showed greater willingness to use digital health tools for screening and tracking than White heterosexual adults., Conclusions: In the United States, sexual minority adults were more willing to use digital health tools for screening and tracking than heterosexual adults. Sexual minority adults did not differ from each other by age, gender, or race or ethnicity in terms of their willingness to use these digital health tools, so no sexual orientation-based or intersectional disparities were identified. Furthermore, White heterosexual adults were less willing to use these tools than racial or ethnic minority heterosexual adults. Findings support the use of digital health tools with sexual minority adults, which could be important for other public health-related concerns (eg, the recent example of mpox). Additional studies are needed regarding the decision-making process of White heterosexual adults regarding the use of digital health tools to address public health crises, including pandemics or outbreaks that disproportionately affect minoritized populations., (©Wilson Vincent. Originally published in the Journal of Medical Internet Research (https://www.jmir.org), 08.03.2024.)