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BACKGROUND: Uptake of mobile phone surveys (MPS) is increasing in many low- and middle-income countries, particularly within the context of data collection on non-communicable diseases (NCDs) behavioural risk factors. One barrier to collecting representative data through MPS is capturing data from older participants.Respondent driven sampling (RDS) consists of chain-referral strategies where existing study subjects recruit follow-up participants purposively based on predefined eligibility criteria. Adapting RDS strategies to MPS efforts could, theoretically, yield higher rates of participation for that age group. OBJECTIVE: To investigate factors that influence the perceived acceptability of a RDS recruitment method for MPS involving people over 45 years of age living in Colombia. METHODS: An MPS recruitment strategy deploying RDS techniques was piloted to increase participation of older populations. We conducted a qualitative study that drew from surveys with open and closed-ended items, semi-structured interviews for feedback, and focus group discussions to explore perceptions of the strategy and barriers to its application amongst MPS participants. RESULTS: The strategys success is affected by factors such as cultural adaptation, institutional credibility and public trust, data protection, and challenges with mobile phone technology. These factors are relevant to individuals willingness to facilitate RDS efforts targeting hard-to-reach people. Recruitment strategies are valuable in part because hard-to-reach populations are often most accessible through their contacts within their social network who can serve as trust liaisons and drive engagement. CONCLUSIONS: These findings may inform future studies where similar interventions are being considered to improve access to mobile phone-based data collection amongst hard-to-reach groups.

Mobile technology growth in Nepal offers promising opportunities for using mobile health (mHealth) interventions to facilitate HIV prevention efforts. However, little is known about access and utilization of communication technology and their willingness to use mHealth for HIV prevention services in Nepal. We conducted a cross-sectional respondent-driven sampling survey of 250 MSM in Kathmandu Valley of Nepal from October to December 2022. We collected information on participant characteristics, HIV risk-related behaviors, ownership, or access to and frequency of use of communication technology (phones, tablets, laptops, and computers), and willingness to use mHealth to access HIV prevention services. Descriptive, bivariate, and multivariate linear regression analyses were performed. Almost all participants had smartphones with the internet (231/250, 92.4%) and accessed the internet daily (219/250, 87.6%) on the smartphone (236/250, 94.4%). The median score for willingness to use mHealth for HIV prevention was 10 (IQR: 3 to 17). Willingness to use mHealth was higher among those participants with a high school or above education (β = 0.223, p = < 0.001), had experienced violence (β = 0.231, p = 0.006), and had moderate to severe depressive symptoms (β = 0.223, p = < 0.001). However, monthly income above NPR 20,000 (USD 150) (β= -0.153, p = 0.008), disclosure of their sexual orientation to anyone (β= -0.159, p = < 0.007), and worry about being negatively judged by health care workers (β= -0.136, p = 0.023) were less willing to use mHealth strategies. The findings from this study suggest that there is a high willingness for utilizing mHealth interventions for HIV prevention in MSM population who are at higher risk of HIV acquisition.

BACKGROUND: More people who smoke and are living with HIV now die from tobacco-related diseases than HIV itself. Most people are ambivalent about quitting smoking and want to quit someday but not yet. Scalable, effective interventions are needed to motivate and support smoking cessation among people ambivalent about quitting smoking (PAQS) who are living with HIV. OBJECTIVE: This study aims to develop an app-based intervention for PAQS who are living with HIV and assess its feasibility, acceptability, and potential impact. Results of this study will inform plans for future research and development. METHODS: In phase 1, PAQS living with HIV (n=8) participated in user-centered design interviews to inform the final intervention app design and recruitment plan for a subsequent randomized pilot study. In phase 2, PAQS living with HIV were randomized to either a standard care control app or a similar experimental app with additional content tailored for PAQS and those with HIV. Participants were followed for 3 months. Feasibility focused on recruitment, retention, and participants willingness to install the app. The study was not powered for statistical significance. Indices of acceptability (satisfaction and use) and impact (smoking behavior change and treatment uptake) were assessed via automated data and self-report among those who installed and used the app (n=19). RESULTS: Recruitment for both study phases was a challenge, particularly via web-based and social media platforms. Enrollment success was greater among people living with HIV recruited from a health care provider and research registry. Once enrolled, retention for the phase 2 randomized study was good; 74% (14/19) of the participants completed the 3-month follow-up. Phase 1 findings suggested that PAQS living with HIV were receptive to using an app-based intervention to help them decide whether, when, and how to stop smoking, despite not being ready to quit smoking. Phase 2 findings further supported this conclusion based on feedback from people who agreed to use an app, but group differences were observed. Indices of acceptability favored the experimental arm, including a descriptively higher mean number of sessions and utilization badges. Similarly, indices of potential impact were descriptively higher in the experimental arm (proportion reducing smoking, making a quit attempt, or calling free tobacco quitline). No participants in either arm quit smoking at the 3-month follow-up. CONCLUSIONS: On the basis of this formative work, PAQS living with HIV may be receptive to using a mobile health-based app intervention to help them decide whether, when, or how to stop using tobacco. Indices of acceptability and impact indicate that additional research and development are warranted. TRIAL REGISTRATION: ClinicalTrials.gov NCT05339659; https://clinicaltrials.gov/study/NCT05339659.

BACKGROUND: Physical inactivity is associated with adverse health outcomes among Asian Americans, who exhibit the least adherence to physical activity guidelines compared with other racial and ethnic groups. Mobile app-based interventions are a promising approach to promote healthy behaviors. However, there is a lack of app-based interventions focused on improving physical activity among Asian Americans whose primary language is not English. OBJECTIVE: This pilot study aimed to assess the feasibility and acceptability of a 5-week intervention using a culturally and linguistically adapted, evidence-based mobile phone app with an accelerometer program, to promote physical activity among Chinese-, Tagalog-, or Vietnamese-speaking Americans. METHODS: Participants were recruited through collaborations with community-based organizations. The intervention was adapted from a 12-month physical activity randomized controlled trial involving the app and accelerometer for English-speaking adults. Sociodemographic characteristics, lifestyle factors, and physical measurements were collected at the baseline visit. A 7-day run-in period was conducted to screen for the participants who could wear a Fitbit One (Fitbit LLC) accelerometer and complete the apps daily step diary. During the 4-week intervention period, participants wore the accelerometer and reported their daily steps in the app. Participants also received daily messages to reinforce key contents taught during an in-person educational session, remind them to input steps, and provide tailored feedback. Feasibility measures were the percentage of eligible participants completing the run-in period and the percentage of participants who used the app diary for at least 5 out of 7 days during the intervention period. We conducted poststudy participant interviews to explore overall intervention acceptability. RESULTS: A total of 19 participants were enrolled at the beginning of the study with a mean age of 47 (SD 13.3; range 29-70) years, and 58% (n=11) of them were female. Of the participants, 26% (n=5) were Chinese, 32% (n=6) were Vietnamese, and 42% (n=8) were Filipino. All participants met the run-in criteria to proceed with the intervention. Adherence to the app diary ranged from 74% (n=14) in week 2 to 95% (n=18) in week 4. The daily average steps per week from accelerometers increased each week from 8451 (SD 3378) steps during the run-in period to 10,930 (SD 4213) steps in week 4. Participants reported positive experiences including an increased motivation to walk and the enjoyment of being able to monitor their physical activity. CONCLUSIONS: This is the first pilot study of a multicomponent intervention and evidence-based mobile phone app to promote physical activity among Asian Americans who use apps in traditional Chinese, Tagalog, or Vietnamese, which demonstrated high feasibility and acceptability. Future work focused on multilingual mobile apps to address disparities in physical inactivity among Asian Americans should be considered.

BACKGROUND: Observing medication ingestion through self-recorded videos (video directly observed therapy [VDOT]) has been shown to be a cost-effective alternative to in-person directly observed therapy (DOT) for monitoring adherence to treatment for tuberculosis disease. VDOT could be a useful tool to monitor short-course latent tuberculosis infection (LTBI) treatment. METHODS: We conducted a prospective randomized controlled trial comparing VDOT (intervention) and clinic-based DOT (control) among patients newly diagnosed with LTBI who agreed to a once-weekly 3-month treatment regimen of isoniazid and rifapentine. Study outcomes were treatment completion and patient satisfaction. We also assessed costs. Pre- and posttreatment interviews were conducted. RESULTS: Between March 2016 and December 2019, 130 participants were assigned to VDOT (n = 68) or DOT (n = 62). Treatment completion (73.5% vs 69.4%, P = .70) and satisfaction with treatment monitoring (92.1% vs 86.7%, P = .39) were slightly higher in the intervention group than the control group, but neither was statistically significant. VDOT cost less per patient (median, $230; range, $182-$393) vs DOT (median, $312; range, $246-$592) if participants used their own smartphone. CONCLUSIONS: While both groups reported high treatment satisfaction, VDOT was not associated with higher LTBI treatment completion. However, VDOT cost less than DOT. Volunteer bias might have reduced the observed effect since patients opposed to any treatment monitoring could have opted for alternative unobserved regimens. Given similar outcomes and lower cost, VDOT may be useful for treatment monitoring when in-person observation is prohibited or unavailable (eg, during a respiratory disease outbreak). The trial was registered at the National Institutes of Health (ClinicalTrials.gov NTC02641106). CLINICAL TRIALS REGISTRATION: ClinicalTrials.gov NTC02641106; registered 24 October 2016.

BackgroundPeople living with multiple sclerosis (MS) face a higher likelihood of being diagnosed with a depressive disorder than the general population. Although many low-cost screening tools and evidence-based interventions exist, depression in people living with MS is underreported, underascertained by clinicians, and undertreated.ObjectiveThis study aims to design a closed-loop tool to improve depression care for these patients. It would support regular depression screening, tie into the point of care, and support shared decision-making and comprehensive follow-up. After an initial development phase, this study involved a proof-of-concept pilot randomized controlled trial (RCT) validation phase and a detailed human-centered design (HCD) phase.MethodsDuring the initial development phase, the technological infrastructure of a clinician-facing point-of-care clinical dashboard for MS management (BRIDGE) was leveraged to incorporate features that would support depression screening and comprehensive care (Care Technology to Ascertain, Treat, and Engage the Community to Heal Depression in people living with MS [MS CATCH]). This linked a patient survey, in-basket messages, and a clinician dashboard. During the pilot RCT phase, a convenience sample of 50 adults with MS was recruited from a single MS center with 9-item Patient Health Questionnaire scores of 5-19 (mild to moderately severe depression). During the routine MS visit, their clinicians were either asked or not to use MS CATCH to review their scores and care outcomes were collected. During the HCD phase, the MS CATCH components were iteratively modified based on feedback from stakeholders: people living with MS, MS clinicians, and interprofessional experts.ResultsMS CATCH links 3 features designed to support mood reporting and ascertainment, comprehensive evidence-based management, and clinician and patient self-management behaviors likely to lead to sustained depression relief. In the pilot RCT (n=50 visits), visits in which the clinician was randomized to use MS CATCH had more notes documenting a discussion of depressive symptoms than those in which MS CATCH was not used (75% vs 34.6%; χ21=8.2; P=.004). During the HCD phase, 45 people living with MS, clinicians, and other experts participated in the design and refinement. The final testing round included 20 people living with MS and 10 clinicians including 5 not affiliated with our health system. Most scoring targets for likeability and usability, including perceived ease of use and perceived effectiveness, were met. Net Promoter Scale was 50 for patients and 40 for clinicians.ConclusionsCreated with extensive stakeholder feedback, MS CATCH is a closed-loop system aimed to increase communication about depression between people living with MS and their clinicians, and ultimately improve depression care. The pilot findings showed evidence of enhanced communication. Stakeholders also advised on trial design features of a full year long Department of Defense-funded feasibility and efficacy trial, which is now underway.Trial registrationClinicalTrials.gov NCT05865405; http://tinyurl.com/4zkvru9x.

Peer support specialists (peers) who have the lived experience of, and are in recovery from, mental health challenges are increasingly being integrated into mental health care as a reimbursable service across the US. This study describes the ways peers were integrated into Help@Hand, a multi-site innovation project that engaged peers throughout efforts to develop and offer digital mental health interventions across counties/cities (sites) in California. Using a mixed methods design, we collected quantitative data via quarterly online surveys, and qualitative data via semi-annual semi-structured phone interviews with key informants from Help@Hand sites. Quantitative data were summarized as descriptive findings and qualitative data from interviews were analyzed using rapid qualitative analysis methods. In the final analytic phase, interview quotes were used to illustrate the complex realities underlying quantitative responses. 117 quarterly surveys and 46 semi-annual interviews were completed by key informants from 14 sites between September 2020 and January 2023. Peers were integrated across diverse activities for support and implementation of digital mental health interventions, including development of training and educational materials (78.6% of sites), community outreach (64.3%), technology testing (85.7%), technology piloting (90.9%), digital literacy training (71.4%), device distribution (63.6%), technical assistance (72.7%), and cross-site collaboration (66.7%). Peer-engaged activities shifted over time, reflecting project phases. Peer-provided digital literacy training and technology-related support were key ingredients for project implementations. This study indicates the wide range of ways peers can be integrated into digital mental health intervention implementations. Considering contextual readiness for peer integration may enhance their engagement into programmatic activities.

Direct-to-patient mobile teledermoscopy is a feasible and useful adjunct to smartphone imaging for monitoring patient-identified lesions of concern, achieving comparable diagnostic and management accuracy as in-office dermatology.

BackgroundSmartphone apps may provide an opportunity to deliver mental health resources and interventions in a scalable and cost-effective manner. However, young people from marginalized and underserved groups face numerous and unique challenges to accessing, engaging with, and benefiting from these apps.ObjectiveThis study aims to better understand the acceptability (ie, perceived usefulness and satisfaction with an app) and feasibility (ie, the extent to which an app was successfully used) of mental health apps for underserved young people. A secondary aim was to establish whether adaptations can be made to increase the accessibility and inclusivity of apps for these groups.MethodsWe conducted 2 sequential studies, consisting of a systematic literature review of mental health apps for underserved populations followed by a qualitative study with underserved young male participants (n=20; age: mean 19). Following the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines, an electronic search of 5 databases was conducted in 2021. The search yielded 18,687 results, of which 14 articles met the eligibility criteria.ResultsThe included studies comprised a range of groups, including those affected by homelessness, having physical health conditions, living in low- and middle-income countries, and those with sexual and gender minority identities. Establishing and maintaining user engagement was a pervasive challenge across mental health apps and populations, and dropout was a reported problem among nearly all the included studies. Positive subjective reports of usability, satisfaction, and acceptability were insufficient to determine users' objective engagement.ConclusionsDespite the significant amount of funding directed to the development of mental health apps, juxtaposed with only limited empirical evidence to support their effectiveness, few apps have been deliberately developed or adapted to meet the heterogeneous needs of marginalized and underserved young people. Before mental health apps are scaled up, a greater understanding is needed of the types of services that more at-risk young people and those in limited-resource settings prefer (eg, standard vs digital) followed by more rigorous and consistent demonstrations of acceptability, effectiveness, and cost-effectiveness. Adopting an iterative participatory approach by involving young people in the development and evaluation process is an essential step in enhancing the adoption of any intervention, including apps, in "real-world" settings and will support future implementation and sustainability efforts to ensure that marginalized and underserved groups are reached.Trial registrationPROSPERO CRD42021254241; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=254241.

BACKGROUND: Substance Use Disorder (SUD) persists as a significant public health challenge worldwide, with an estimated prevalence of approximately 10-15% across the global populace. This condition is characterized by a notably high risk of lapses and relapses, even subsequent to treatment interventions. Mobile health interventions, owing to their widespread accessibility, emerge as a promising approach to diminish the risk of relapse post-treatment and to broaden the scope of care, especially in regions with a scarcity of trained medical professionals. METHOD: This study is designed to assess the effectiveness of mobile interventions in mitigating cravings and preventing lapses among individuals diagnosed with SUD. Employing a two-armed, randomized controlled trial framework, the study will evaluate a self-administered psychological intervention delivered through a mobile application, Nałogometr 2.0. Over a period of three months, participants will engage with intervention modules that primarily incorporate mindfulness techniques and Cognitive Behavioral Therapy (CBT) principles. Ecological Momentary Assessment (EMA) will be utilized to gather longitudinal data on a range of variables that are indicative of craving intensity and the risk of lapse. In addition to this, a monthly-administered battery of questionnaires will be employed to gauge the severity of substance dependence, as well as to measure levels of anxiety, depression, and overall life satisfaction. RESULTS: Results will be submitted for publication in peer-reviewed journals. CLINICAL TRIAL REGISTRATION: https://clinicaltrials.gov/, identifier [NCT05730504].

BackgroundHIV or sexually transmitted infections remain a significant public health concern in the United States, with adolescents affected disproportionately. Adolescents engage in HIV/STI risk behaviors, including drug use and condomless sex, which increase the risk for HIV/STIs. At-risk adolescents, many of whom are racial minorities, experience HIV/STI disparities. Although at-risk adolescents are disproportionately affected by HIV/STI risk behaviors and infections and although the Centers for Disease Control and Prevention recommends routine HIV/STI testing for adolescents, relatively few adolescents report having ever been tested for HIV/STI. With expected increases in health clinic visits as a result of the Affordable Care Act combined with technological advances, health clinics and mobile health (mHealth), including apps, provide innovative contexts and tools to engage at-risk adolescents in HIV/STI prevention programs. Yet, there is a dearth of efficacious mHealth interventions in health clinics to prevent and reduce both condomless sex and drug use and increase HIV/STI testing for at-risk adolescents.ObjectiveTo address this gap in knowledge, we developed a theory-driven, culturally congruent mHealth intervention (hereon referred to as S4E [Storytelling 4 Empowerment]) that has demonstrated feasibility and acceptability in a clinical setting. The next step is to examine the preliminary efficacy of S4E on adolescent HIV/STI testing and risk behaviors. This goal will be accomplished by 2 aims: the first aim is to develop a cross-platform and universal version of S4E. The cross-platform and universal version of S4E will be compatible with both iOS and Android operating systems and multiple mobile devices, aimed at providing adolescents with ongoing access to the intervention once they leave the clinic, and the second aim is to evaluate the preliminary efficacy of S4E, relative to usual care control condition, in preventing or reducing drug use and condomless sex and increasing HIV/STI testing in a clinical sample of at-risk adolescents aged 14-21 years living in Southeast Michigan.MethodsIn this study, 100 adolescents recruited from a youth-centered community health clinic will be randomized via blocked randomization with random sequences of block sizes to one of the 2 conditions: S4E mHealth intervention or usual care. Theory-driven and culturally congruent, S4E is an mHealth adaptation of face-to-face storytelling for empowerment, which is registered with the Substance Abuse and Mental Health Services Administration's National Registry of Evidence-Based Programs and Practices.ResultsThis paper describes the protocol of our study. The recruitment began on May 1, 2018. This study was registered on December 11, 2017, in ClinicalTrials.gov. All participants have been recruited. Data analysis will be complete by the end of March 2024, with study findings available by December 2024.ConclusionsThis study has the potential to improve public health by preventing HIV/STI and substance use disorders.Trial registrationClinicalTrials.gov NCT03368456; https://clinicaltrials.gov/study/NCT03368456.International registered report identifier (irrid)DERR1-10.2196/47216.

Digital health technologies are ubiquitous in the healthcare landscape. Older adults represent an important user group who may benefit from improved monitoring of physical and cognitive health and in-home access to care, but there remain many barriers to widespread use of digital health technologies in gerontology and geriatric medicine. The National Institute on Aging Research Centers Collaborative Network convened a workshop wherein geriatricians and gerontological researchers with expertise related to mHealth and digital health applications shared opportunities and challenges in the application of digital health technologies in aging. Discussion broadly centered on 2 themes: promises and challenges in (i) the use of ecological momentary assessment methodologies in gerontology and geriatric medicine, and (ii) the development of health promotion programs delivered via digital health technologies. Herein, we summarize this discussion and outline several promising areas for future research.

Purpose: Physical activity research among patients with metastatic breast cancer (MBC) is limited. This study examined the feasibility and potential benefits of Fit2ThriveMB, a tailored mHealth intervention. Methods: Insufficiently active individuals with MBC (n = 49) were randomized 1:1 to Fit2ThriveMB (Fit2ThriveMB app, Fitbit, and weekly coaching calls) or Healthy Lifestyle attention control (Cancer.Net app and weekly calls) for 12 weeks. Fit2ThriveMB aimed to increase daily steps via an algorithm tailored to daily symptom rating and step goal attainment. The primary outcome was feasibility defined as ≥ 80% completion rate. Secondary feasibility metrics included meeting daily step goal and wearing the Fitbit ≥ 70% of study days, fidelity, adherence to intervention features and safety. Secondary outcomes included physical activity, sedentary time, patient reported outcomes (PROs), health-related quality of life (QOL) and social cognitive theory constructs. A subsample (n = 25) completed functional performance tests via video conferencing. Results: The completion rate was 98% (n = 1 died). No related adverse events were reported. Fit2ThriveMB participants (n = 24) wore the Fitbit 92.7%, met their step goal 53.1%, set a step goal 84.6% and used the app 94.1% of 84 study days. Intent-to-treat analyses indicated trends toward improvements in activity, QOL, and some PROs, social cognitive theory constructs, and functional performance tests favoring the Fit2ThriveMB group. Significant effects favoring Fit2ThriveMB were observed for self-efficacy and goal-setting. However, some PROs and functional performance improvements favored the control group (p-values > 0.05). Conclusions: Fit2ThriveMB is feasible and safe for patients with MBC and warrants further evaluation in randomized controlled trials with larger sample sizes. Registration Clinicaltrials.gov NCT04129346, https://clinicaltrials.gov/ct2/show/NCT04129346 [ABSTRACT FROM AUTHOR]

Background: Minority populations are utilizing mobile health applications more frequently to access health information. One group that may benefit from using mHealth technology is underserved women, specifically those on community supervision. Objective: Discuss methodological approaches for navigating digital health strategies to address underserved women's health disparities. Description of the innovative method: Using an intersectional lens, we identified strategies for conducting research using digital health technology and artificial intelligence amongst the underserved, particularly those with community supervision. Description of its effectiveness: We explore (1) methodological approaches that combine traditional research methods with precision medicine, digital phenotyping, and ecological momentary assessment; (2) implications for artificial intelligence; and (3) ethical considerations with data collection, storage, and engagement. Discussion: Researchers must address gendered differences related to health, social, and economic disparities concurrently with an unwavering focus on the protection of human subjects when addressing the unique needs of underserved women while utilizing digital health methodologies. Public contribution: Women on community supervision in South Central Texas helped inform the design of JUN, the mHealth app we reported in the case exemplar. JUN is named after the Junonia shell, a native shell to South Texas, which means strength, power, and self‐sufficiency, like the participants in our preliminary studies. [ABSTRACT FROM AUTHOR]

Although self‐testing apps, a form of mobile health (mHealth) apps, are often marketed as empowering, it is not obvious how exactly they can empower their users—and in which sense of the word. In this article, I discuss two conceptualisations of empowerment as polar opposites—one in health promotion/mHealth and one in feminist theory—and demonstrate how both their applications to individually used self‐testing apps run into problems. The first, prevalent in health promotion and mHealth, focuses on internal states and understands empowerment as an individual process. However, this version of empowerment has been accused of paternalism and responsibilisation. The second, feminist version considers structural conditions and foregrounds collective, political change, whose realisation is not obviously attainable for an individually used app. By pointing out the flaws of the positions that focus on either internal states or external conditions, and by engaging with theory from critical phenomenology, I argue that the interplay between them is where empowerment can take place. I propose to formulate empowerment in phenomenological terms as a shift in being‐in‐the‐world and discuss how this conceptualisation of empowerment would avoid the criticism of previous empowerment narratives while being realisable by self‐testing apps. [ABSTRACT FROM AUTHOR]

Depression is a common pregnancy complication yet is often under-detected and, subsequently, undertreated. Data collected through mobile health tools may be used to support the identification of depression symptoms in pregnancy. An observational cohort study of 2062 pregnancies collected self-reports of patient history, mood, pregnancy-specific symptoms, and written language using a prenatal support app. These app inputs were used to model depression risk in subsequent 30- and 60-day periods throughout pregnancy. A selective inference lasso modeling approach examined the individual and additive value of each type of patient-reported app input. Depression models ranged in predictive power (AUC value of 0.64–0.83), depending on the type of inputs. The most predictive model included personal history, daily mood, and acute pregnancy-related symptoms (e.g., severe vomiting, cramping). Across models, daily mood was the strongest indicator of depression symptoms in the following month. Models that retained natural language inputs typically improved predictive accuracy and offered insight into the lived context associated with experiencing depression. Our findings are not generalizable beyond a digitally literate patient population that is self-motivated to report data during pregnancy. Simple patient reported data, including sparse language, shared directly via digital tools may support earlier depression symptom identification and a more nuanced understanding of depression context. [Display omitted] • Self-reported pregnancy app data can provide insight into depression symptoms. • Mood is a strong indicator of moderate-to-severe depression symptoms. • The best depression models include patient history and acute pregnancy symptoms. • Natural (written) language provides context to the drivers of mood and depression. [ABSTRACT FROM AUTHOR]

AbstractThis study aimed to explore the potential of a mobile health (mHealth) application (app) to support the delivery of a fall prevention and management program, Individualized Reduction of FaLLs (iROLL), for people with spinal cord injury (SCI) and multiple sclerosis (MS) who use wheelchairs and scooters (WC/S) full-time by seeking end-users’ input into the functioning and ongoing design of the iROLL-O + mobile app. Two focus group discussions included nine adults with SCI or MS who used a WC/S for at least 75% of mobility, who experienced at least one fall in the past three years and have internet and access to an internet-capable device. One group had prior iROLL experience (n = 4); while the other had none (n = 5). The focus groups examined the app’s usefulness, accessibility, appearance, and ease of use. The participants with prior iROLL experience also discussed how the app would enhance their experience with the program. Thematic analysis revealed five app-related themes: perceived usefulness, perceived usability, accessibility, appearance, and enhancement of the iROLL experience, with participants providing actionable suggestions for improvement. Participants with previous exposure to the iROLL program emphasized the app’s potential to facilitate flexible access to the program and expand its reach to a wider audience. The iROLL-O + app was perceived positively, especially with respect to the enhancement of users’ access and experience with the program. Focus group findings will inform ongoing app development for optimized usability and reduced likelihood of technology abandonment.IMPLICATIONS FOR REHABILITATIONEnd-users’ impressions of the Individual Reduction of faLLs Online application (iROLL-O + app) highlight the potential for integrating mHealth apps in fall prevention and management education efforts, offering a promising and accessible avenue to support the delivery of tailored programs.The study notes that the app facilitates flexible access and wider reach to the program, indicating the importance of incorporating features that enhance accessibility and accommodate the diverse needs of individuals who use wheelchairs and scooters.Actionable suggestions provided by participants underscore the importance of a user-centered design approach in developing rehabilitation-related mobile apps.End-users’ impressions of the Individual Reduction of faLLs Online application (iROLL-O + app) highlight the potential for integrating mHealth apps in fall prevention and management education efforts, offering a promising and accessible avenue to support the delivery of tailored programs.The study notes that the app facilitates flexible access and wider reach to the program, indicating the importance of incorporating features that enhance accessibility and accommodate the diverse needs of individuals who use wheelchairs and scooters.Actionable suggestions provided by participants underscore the importance of a user-centered design approach in developing rehabilitation-related mobile apps. [ABSTRACT FROM AUTHOR]

Falls are the most common cause of injury in older people, with consequences for the individual and society. With an increasing population of older people, falls and related costs are expected to increase. It is crucial to identify scalable and cost-effective interventions and subsequently reduce fall-related costs. The aim was to evaluate the cost-effectiveness of the Safe Step digital fall preventive exercise intervention over a period of 12 years and, in addition, to evaluate the impact of increased recruitment cost and decreased intervention effect. The intervention was evaluated in an observational study in a municipality context targeting community-dwelling older people of age 70 +. A Markov model with five states was used to model the cost-effectiveness of the Safe Step intervention and evaluate quality-adjusted life years (QALYs) and fall-related costs from a societal perspective. By using data from a meta-analysis as basis for the estimated intervention effect, the Safe Step intervention was compared with a no-intervention alternative. The results showed that the Safe Step intervention dominated no intervention. In the sensitivity analysis with the most conservative estimate of intervention effect, the ICER was €7 616 per QALY gained. Hence, Safe Step showed to be a cost-saving fall preventive intervention in older people at risk of falling and potentially cost-effective even with a low estimated intervention effect. Future studies on efficacy of fall preventive digital interventions will contribute in precising effect estimates and enhance the validity of these cost-effectiveness results. [ABSTRACT FROM AUTHOR]

Objective: Early detection through screening could improve breast cancer (BC) outcomes in sub‐Saharan Africa (SSA). We explored women's preferences for BC‐related mobile health text messaging, described the development of a mobile‐health text messaging platform, and examined the enablers and barriers to BC screening. Methods: A concurrent mixed‐method study of women aged 40–59 years was conducted. Four essential actions were carried out: (i) a baseline survey of 130 women, (ii) five focus group discussions (FGDs), (iii) a stakeholder meeting with BC research and clinical treatment specialists, and (iv) text message pretesting. The survey and FGD findings were used to create a culturally appropriate SMS platform for BC screening. Results: Thirty‐five text messages were developed and evaluated with the following communication goals in mind: 15 addressed BC awareness, six emphasized the importance of early detection, five alleviated anxieties as a barrier to BC screening, seven encouraged women to prioritize their health, and three indicated screening locations and costs. The majority (92.6%) of survey respondents who had heard of mammography (54/130) said screening was necessary. Fear of the screening procedure, receiving a positive diagnosis, and other testing‐related worries (40.7%) were identified as potential barriers to BC screening, along with low income (18.5%), a lack of BC‐related indicators (9.3%), insufficient breast awareness education (9.3%), and time restrictions (7.4%). The presence of BC‐related symptoms (27.8%), breast awareness education (24.1%), and doctor's advice (16.7%) were all potential facilitators of BC screening uptake. The majority of FGD participants favored brief texts, with 42.3% preferring one text message per day. Conclusion: Several factors limit women from accessing BC screening services; nevertheless, specific barriers such as a lack of BC education, time constraints, and disease fears can be successfully targeted through SMS messaging interventions to encourage women to use BC screening programs. [ABSTRACT FROM AUTHOR]

Background: Internally displaced persons (IDPs) in Nigeria face a high burden of mental health disorders, with limited access to evidence-based, culturally relevant interventions. Life skills education (LSE) is a promising approach to promote mental health and psychosocial well-being in humanitarian settings. This study aims to evaluate the effectiveness and implementation of a culturally adapted LSE program delivered through in-person and mobile platforms among IDPs in Northern Nigeria. Methods: This cluster-randomized hybrid type 2 effectiveness-implementation trial will be conducted in 20 IDP camps or host communities in Maiduguri, Nigeria. Sites will be randomly assigned to receive a 12-week LSE program delivered either through in-person peer support groups or WhatsApp-facilitated mobile groups. The study will recruit 500 participants aged 13 years and older. Intervention effectiveness outcomes include the primary outcome of change in post-traumatic stress disorder (PTSD) symptoms assessed using the PCL-5 scale, and secondary outcomes of depression, anxiety, well-being, and life skills acquisition. Implementation outcomes will be assessed using the Acceptability of Intervention Measure (AIM), Intervention Appropriateness Measure (IAM), and Feasibility of Intervention Measure (FIM). Both sets of outcomes will be compared between the in-person and mobile delivery groups. Quantitative data will be analyzed using mixed-effects linear regression models, while qualitative data will be examined through reflexive thematic analysis. The study will be guided by the Reach-Effectiveness-Adoption-Implementation-Maintenance (RE-AIM) framework. Discussion: The RESETTLE-IDPs study addresses key gaps in the evidence base on mental health interventions for conflict-affected populations. It focuses on underserved IDP populations, evaluates the comparative effectiveness of in-person and mobile-delivered LSE, and incorporates implementation science frameworks to assess contextual factors influencing adoption, fidelity, and sustainability. The study employs a community-based participatory approach to enhance cultural relevance, acceptability, and ownership. Findings will inform the development and scale-up of evidence-based, sustainable mental health interventions for IDPs in Nigeria and other humanitarian contexts. Trial sponsor: Dalhousie University, 6299 South St, Halifax, NS B3H 4R2, Canada. Trial registration: ClinicalTrials.gov, NCT06412679 Registered 15 May 2024. [ABSTRACT FROM AUTHOR]

Background Method Results Conclusion CRUSE® is an app that allows patients with chronic spontaneous urticaria (CSU) to monitor their daily disease activity through the use of visual analogue scales (VASs). We aimed to determine the concurrent validity, reliability, responsiveness and minimal important difference (MID) of CRUSE® VASs.We evaluated the properties of three daily VASs: VAS for how much patients were affected by their CSU (‘VAS urticaria’), VAS for the impact of urticaria on work/school productivity (‘VAS productivity’) and the VAS of EQ‐5D. Concurrent validity was assessed by measuring the association between each VAS and the Urticaria Activity Score (UAS). Intra‐rater reliability was determined based on the data of users providing multiple daily questionnaires within the same day. Test–retest reliability and responsiveness (ability to change), respectively, were tested in clinically stable and clinically unstable users. MIDs were determined using distribution‐based methods.We included 5938 patients (67,380 days). Concurrent validity was high, with VAS urticaria being more strongly associated with the UAS score than the remaining VASs. Intra‐rater reliability was also high, with intraclass correlation coefficients (ICC) being above 0.950 for all VASs. Moderate‐high test–retest reliability and responsiveness were observed, with reliability ICC being highest for VAS EQ‐5D and responsiveness being highest for VAS urticaria. The MID for VAS urticaria was 17 (out of 100) units, compared to 15 units for VAS productivity and 11 units for VAS EQ‐5D.Daily VASs for CSU available in the CRUSE® app display high concurrent validity and intra‐rater reliability and moderate‐high test–retest reliability and responsiveness. [ABSTRACT FROM AUTHOR]

Introduction: Mobile health (mHealth) interventions have shown potential to improve maternal and child health outcomes in Africa, but their effectiveness depends on specific interventions, context, and implementation quality. Challenges such as limited infrastructure, low digital literacy, and sustainability need to be addressed. Further evaluation studies are essential to summarize the impact of mHealth interventions. Thus, this synthesis focuses on qualitative evidence of the impact of mHealth on maternal and child health in Africa to summarize such evidence to help policy decisions. Methods: A qualitative systematic review guided by the concepts of Intervention, Context, Mechanism, and Outcome (ICAMO) was employed in this study. The GRADE CERQual assessment and methodological constraints tools were utilized in the review to ascertain the level of confidence in the evidence and to examine the methodological limitations. The JBI checklist for qualitative research appraisal was also consulted during the review. Results: The current review contains 32 eligible studies from databases such as CINAHL, EMBASE, MEDLINE, Scopus, Web of Science, HINARI, and Cochrane Library. The review demonstrated substantial improvements in the HCP-woman relationship, communication system, maternal and child healthcare uptake, health-seeking behavior, and HCP skills. Economic capacities, maternal education, and the low quality of existing services challenged participants. Conclusion: mHealth significantly improves maternal and child health outcomes in Africa. This review showed it can improve healthcare access, empower women, and contribute to the region's goal of universal health coverage. However, the challenges such as low partner support, high costs for services, and poor quality of current care as narrated by women need commitment from health authorities in the continent. The evidence from this review suggests that mHealth can be implemented to improve maternal and child health in Africa. Trial registration: PROSPERO: CRD42023461425. [ABSTRACT FROM AUTHOR]

Background: Although mobile health (mHealth) interventions have shown promise in improving health outcomes, most of them rarely translate to scale. Prevailing mHealth studies are largely small-sized, short-term and donor-funded pilot studies with limited evidence on their effectiveness. To facilitate scale-up, several frameworks have been proposed to enhance the generic implementation of health interventions. However, there is a lack of a specific focus on the implementation and integration of mHealth interventions in routine care in low-resource settings. Our scoping review aimed to synthesize and develop a framework that could guide the implementation and integration of mHealth interventions. Methods: We searched the PubMed, Google Scholar, and ScienceDirect databases for published theories, models, and frameworks related to the implementation and integration of clinical interventions from 1st January 2000 to 31st December 2023. The data processing was guided by a scoping review methodology proposed by Arksey and O'Malley. Studies were included if they were i) peer-reviewed and published between 2000 and 2023, ii) explicitly described a framework for clinical intervention implementation and integration, or iii) available in full text and published in English. We integrated different domains and constructs from the reviewed frameworks to develop a new framework for implementing and integrating mHealth interventions. Results: We identified eight eligible papers with eight frameworks composed of 102 implementation domains. None of the identified frameworks were specific to the integration of mHealth interventions in low-resource settings. Two constructs (skill impartation and intervention awareness) related to the training domain, four constructs (technical and logistical support, identifying committed staff, supervision, and redesigning) from the restructuring domain, two constructs (monetary incentives and nonmonetary incentives) from the incentivize domain, two constructs (organizational mandates and government mandates) from the mandate domain and two constructs (collaboration and routine workflows) from the integrate domain. Therefore, a new framework that outlines five main domains—train, restructure, incentivize, mandate, and integrate (TRIMI)—in relation to the integration and implementation of mHealth interventions in low-resource settings emerged. Conclusion: The TRIMI framework presents a realistic and realizable solution for the implementation and integration deficits of mHealth interventions in low-resource settings. [ABSTRACT FROM AUTHOR]

The limited accessibility of mental healthcare providers highlights the need for innovative approaches to provide effective and efficient care. Digital mental health applications (DMHAs) can improve patient access to evidence-based treatments and reduce burden on the healthcare system. Here, we examined the provider and patient barriers and facilitators to integration of DMHAs in a healthcare system. Patients (n = 57) and providers (n = 100) were recruited from a large healthcare system over five months. Participants completed a survey assessing attitudes towards DMHAs, and perceived facilitators and barriers to adoption and utilization of DMHAs in mental healthcare. DMHA credibility was a key facilitator for provider adoption, while usability and accessibility were identified as key facilitators for patient utilization. Provider barriers included patient cost/provider reimbursement, limited knowledge, perceived limits to credibility, patient outcome enhancement, and personalization of DMHAs for patient needs. Patients identified privacy concerns as the top barrier for using DMHAs. The self-report survey nature of this study, modest sample size, and majority of sample identifying as White and upper middle class make results subject to biases and limitations. Given the potential of DMHAs to address disparities in access to mental healthcare, more research is needed including populations who are at greatest risk. Findings provide new insights to inform the development of intervention strategies to improve the integration of DMHAs within healthcare systems. Additional research examining key stakeholders at different levels of care is critical to address barriers, optimize facilitators, and develop roadmaps for best-practice use in healthcare systems. • DMHA credibility, usability, and accessibility are important facilitators to adoption and use. • Barriers include concerns related to cost/reimbursement, DMHA knowledge, credibility, benefit, personalization, and privacy. • Provider/patient discrepancies around timing of DMHA integration in stepped-care models require further exploration. • Findings can help inform development of roadmaps for best-practice use of DMHAs in healthcare systems. [ABSTRACT FROM AUTHOR]

Background/Objectives: An Android platform-based customised app and web-linked system was developed to aid in implementing selected nutrition interventions by community health workers (CHWs) in a community-based cluster randomised trial (c-RCT) in rural Bangladesh. Methods: Here, we describe the architecture of the intervention delivery system, and explore feasibility of employing mHealth as CHWs' job aid, employing a mixed-method study design covering 17 visits per mother-child dyad. We analysed CHWs' real-time visit information from monitoring and documentation data, and CHWs' qualitative interviews to explore the advantages and barriers of using mHealth as a job aid. Results: Intervention coverage was high across the arms (>90%), except around the narrow perinatal period (51%) due to mothers' cultural practice of moving to their parents' homes and/or hospitals for childbirth. CHWs mentioned technical and functional advantages of the job aid including device portability, easy navigability of content, pictorial demonstration that improved communication, easy information entry, and automated daily scheduling of tasks. Technical challenges included charging tablets, especially in power cut-prone areas, deteriorated battery capacity over continuous device usage, unstable internet network in unsupportive weather conditions, and device safety. Nevertheless, onsite supervision and monitoring by expert supervisors remained important to ensure intervention quality. Conclusions: With appropriate training and supervision, CHWs utilised the tablet-based app proficiently, attaining high coverage of long-term visits. mHealth was thus useful for designing, planning, scheduling, and delivering nutrition interventions through CHWs, and for monitoring and supervision by supervisors. Therefore, this application and job aid can be adopted or replicated into the currently developing national health systems platform for improving coverage and quality of preventive maternal and child nutrition services. In addition, continuous supportive supervision by skilled supervisors must be accompanied to ensure CHWs' task quality. Finally, future studies should rigorously assess undesirable health and environmental effects of mHealth before and after mainstreaming, effective interventions addressing device-induced health hazards should be designed and scaled up, and effective e-waste management must be ensured. [ABSTRACT FROM AUTHOR]

Background: Compassion is an essential and beneficial value in mental healthcare. However, how digital mental health interventions influence compassion in treatment has not been systematically investigated, due to the lack of appropriate measurement instruments. To address this gap, we developed the Compassionate Technology Scale for Professionals (CTS-P), aimed at mental health professionals. Methods: We used Q-methodology, a method that combines quantitative and qualitative analysis to explore shared viewpoints on a particular topic, to select and refine items. Participants were 15 professionals from different areas of mental healthcare. In individual sessions, while thinking aloud, they sorted 35 statements on relevance for evaluating technology use on compassion. The statements were based on a scientific conceptualization of compassion with five elements. The sorting task was followed by a short interview to explore participants' associations with compassion and technology. Results: With by-person factor analysis, we found three different viewpoints among participants, all with eigenvalues > 1 and with a total explained variance of 63.02%. We selected prioritized items of each viewpoint and for each theoretical element of compassion, resulting in a full scale (15 items) and a short scale (3 items). Based on qualitative input from participants, the scale was adapted to clarify its focus and the wording of items. While thinking aloud, participants shared benefits and critical notes regarding technology and compassion. Discussion: Together with key stakeholders, we developed the CTS-P. Most participants prioritized the potential of technology to obtain more information and be closer to their client in facilitating compassion. The main critical note participants had was that technology is not necessary to support compassion at the therapist's experiential level. This emphasizes the need to further explore how mental health professionals and technology can complement each other in a system of compassionate care. Future research should explore the factor structure, validity, and reliability of the scale through psychometric validation. Conclusions: The CTS-P can make the extent to which technology for mental healthcare influences elements of compassion measurable and comparable. The scale can prove useful for prioritizing the value of compassion in both the development and use of digital mental health interventions. [ABSTRACT FROM AUTHOR]

Background: Provision of essential newborn care at home, rapid identification of illness, and care-seeking by caregivers can prevent neonatal mortality. Mobile technology can connect caregivers with information and healthcare worker advice more rapidly and frequently than healthcare visits. Community health workers (CHWs) are well-suited to deliver such interventions. We developed an interactive short message service (SMS) intervention for neonatal health in Kenya, named CHV-NEO. CHV-NEO sends automated, theory-based, actionable, messages throughout the peripartum period that guide mothers to evaluate maternal and neonatal danger signs and facilitate real-time dialogue with a CHW via SMS. We integrated this intervention into Kenya's national electronic community health information system (eCHIS), which is currently used at scale to support CHW workflow. Methods: The effect of CHV-NEO on clinical and implementation outcomes will be evaluated through a non-blinded cluster randomized controlled trial. Twenty sites across Kisumu County in Western Kenya were randomized 1:1 to provide either the national eCHIS with integrated CHV-NEO messaging (intervention) or standard of care using eCHIS without CHV-NEO (control). We will compare neonatal mortality between arms based on abstracted eCHIS data from 7200 pregnant women. Secondary outcomes include self-reported provision of essential newborn care (appropriate cord care, thermal care, and timely initiation of breastfeeding), knowledge of neonatal danger signs, and care-seeking for neonatal illness, compared between arms based on questionnaires with a subgroup of 2000 women attending study visits at enrollment in pregnancy and 6 weeks postpartum. We will also determine CHV-NEO's effect on CHW workflows and evaluate determinants of intervention acceptability, adoption, and fidelity of use through questionnaires, individual interviews, and messaging data. Discussion: We hypothesize that the CHV-NEO direct-to-client communication strategy can be successfully integrated within existing CHW workflows and infrastructure, improve the provision of at-home essential newborn care, increase timely referral of neonatal illness to facilities, and reduce neonatal mortality. The intervention's integration into the national eCHIS tool will facilitate rapid scale-up if it is clinically effective and successfully implemented. Trial registration: ClinicalTrials.gov, NCT05187897. The CHV-NEO study was registered on January 12, 2022. [ABSTRACT FROM AUTHOR]

Background: Germany was the first country worldwide to offer mobile digital health applications (mHealth apps, "DiGA") on prescription with full cost coverage by statutory health insurances. Especially statutory health insurances criticize the current pricing and payment regulations in Germany due to "free and non-transparent" pricing in the first year and lack of cost use evidence. The study consists of two parts: The first part evaluates interests of digital health application providers and statutory health insurances in Germany to identify overlaps and divergences of interests. The second part includes the development of a comprehensive pricing and payment taxonomy for reimbursable mHealth apps in general. Methods: Both parts of the study used the input from 16 expert interviews with representatives of digital health application providers and statutory health insurances in Germany. In part one the authors conducted a qualitative content analysis and in part two they followed the taxonomy development process according to Nickerson et al. (2013). Results: A value based care model is expected to bring the greatest benefit for patients while statutory health insurances welcome the idea of usage based pricing. The final pricing and payment taxonomy consists of four design and negotiation steps (price finding, payment prerequisites, payment modalities, composition of negotiation board). Conclusions: As healthcare resources are scarce and thus need to be optimally allocated, it is important to implement pricing and payment terms for reimbursable mHealth apps that result in the greatest benefit for patients. To the best of the authors' knowledge, there has been no structured study yet that examines alternative pricing strategies for reimbursable mHealth apps.The developed pricing and payment taxonomy for reimbursable mHealth apps serves as planning and decision basis for developers, health policy makers and payers internationally. [ABSTRACT FROM AUTHOR]

Many alcohol-industry-funded (AIF) organizations disseminate eHealth/mHealth tools that claim to assist users in making health decisions by monitoring alcohol consumption, e.g. blood alcohol calculators, AUDIT scores, consumption trackers. Previously, AIF materials were found to contain health misinformation that could increase consumption (dark nudges) or make healthy behaviour change more difficult (sludge). The accuracy and functionality of AIF tools have never been analysed, and given the history of AIF materials it is possible they contain misinformation and function as covert marketing channels to promote alcohol-industry-friendly narratives on the causes and possible solutions of alcohol-related harms. We evaluated the information accuracy and framing, behaviour change techniques (BCTs), and functions of AIF digital tools (n = 15, from the UK, Ireland, the USA, Canada, New Zealand, Australia; including Drinkaware, Drinkwise, Educ'alcool and others), compared to a non-industry-funded independent sample (n = 10). We identified misinformation and 'dark patterns' (interface design strategies for influencing users against their interest) throughout AIF tools; significantly fewer provided accurate feedback (33% vs 100%), and significantly more omitted information on cancer (67% vs 10%) and cardiovascular disease (80% vs 30%) and promoted industry-friendly narratives (47% vs 0%). AIF tools encouraged consumption through priming nudges (53%) and social norming (40%). AIF tools utilized fewer BCTs, provided users with more limited pre-set options (54%), and fewer drink choices (mean 24 vs 275). Their input structure often impeded their ability to provide guideline advice. We conclude that AIF tools contain pro-industry misinformation strategies and dark patterns that misinform users about their consumption and could 'nudge' them towards continuing to drink alcohol—characteristics of 'Dark Apps' designs. [ABSTRACT FROM AUTHOR]

The article "Leveraging Technology to Transform Sexual and Reproductive Health Services" in the Bangladesh Journal of Medical Science examines how technology, including telemedicine and mobile health apps, is reshaping the delivery of sexual and reproductive health services. It underscores the advantages of these innovations in enhancing access, care quality, and patient empowerment, while also addressing concerns about data privacy, digital literacy, and equity. The document delves into ethical considerations, disparities in digital access, and the significance of health equity in telemedicine and e-health services, emphasizing the need for collaboration among stakeholders for a safe and inclusive integration of technology in SRH services. [Extracted from the article]

The rise of mHealth has transformed maternal healthcare in low- and middle-income countries, enhancing care and women's access to quality services. The "Kapasia Model," launched in 2017 in Bangladesh, aims to connect beneficiaries with healthcare providers, improve antenatal care (ANC) and reduce maternal mortality. This study aimed to explore healthcare providers' perspective on digitalized ANC services within the Kapasia model. Conducted from January to July 2022, it involved 30 in-depth interviews with community-level healthcare providers across 17 facilities in Kapasia Upazila, Gazipur. A thematic analysis was performed to analyze data. The findings revealed that healthcare providers emphasized the Kapasia Model's role in raising awareness and knowledge of pregnancy care and increasing antenatal care attendance. They viewed digitalized service as means of improving connectivity and access to healthcare for pregnant women. However, providers also discussed challenges such as women's limited access to mobile phones and the time-consuming nature of completing information forms. Overall, healthcare providers supported integration of digital tools and endorsed digitalization in their workflow. Addressing these challenges is essential for optimizing ANC delivery and improving quality of services. Insights from this study will inform evidence-based decisions for future scaling-up and replication by policymakers and stakeholders in similar settings. [ABSTRACT FROM AUTHOR]

Background: Mobile health (mHealth) has an emerging potential for remote assessment of traumatic dental injuries (TDI) and support of emergency care. This study aimed to determine the diagnostic accuracy of TDI detection from smartphone-acquired photographs. Methods: The upper and lower anterior teeth of 153 individuals aged ≥ 6 years were photographed using a smartphone camera app. The photos of 148 eligible participants were reviewed independently by a dental specialist, two general dentists, and two dental therapists, using predetermined TDI classification and criteria. The sensitivity, specificity, accuracy, positive predictive value, negative predictive value, and inter-rater reliability were estimated to evaluate the diagnostic performance of the photographic method relative to the reference standard established by the dental specialist. Results: Of the 1,870 teeth screened, one-third showed TDI; and one-seventh of the participants had primary or mixed dentitions. Compared between the specialist's reference standard and four dental professionals' reviews, the diagnostic sensitivity and specificity for TDI versus non-TDI were 59–95% and 47–93%, respectively, with better performance for urgent types of TDI (78–89% and 99–100%, separately). The diagnostic consistency was also better for the primary/mixed dentitions than the permanent dentition. Conclusion: This study suggested a valid mHealth practice for remote assessment of TDI. A better diagnostic performance in the detection of urgent types of TDI and examination of the primary/mixed dentition was also reported. Future directions include professional development activities involving dental photography and photographic assessment, incorporation of a machine learning technology to aid photographic reviews, and randomized controlled trials in multiple clinical settings. [ABSTRACT FROM AUTHOR]

Aim: To evaluate the effect of a novel, co‐designed, digital AF educational program, 'INFORM‐AF', to reduce re‐hospitalisation of people with AF. The secondary aims are to examine the effect of the intervention on: (a) reducing cardiovascular‐related hospitalisation, (b) increasing medication adherence, AF‐related knowledge, and Atrial fibrillation (AF)‐related quality of life and (c) determining the cost‐effectiveness of the intervention. Background: AF is an increasingly prevalent cardiac arrythmia that involves complex clinical management. Comprehensive education is essential for successful self‐management of AF and is associated with positive health‐related outcomes. There has been an increase in technology‐based education for AF. However, its effects on hospitalisation, medication adherence and patient‐reported outcomes are unclear. Design: A prospective, randomised (1:1), open‐label, blinded‐endpoint, multicentre clinical trial. Methods: Eligible participants are aged 18 years or above, diagnosed with AF, and own a smartphone. The study will be conducted at two metropolitan hospitals. In the intervention group, participants will receive the AF educational program delivered via Qstream®. In the control group, participants will receive the Stroke Foundation 'Living with AF' booklet. The primary outcome is re‐hospitalisation within 12 months from an indexed presentation or hospital admission. Conclusion: This clinical trial is part of a developing program of work that will examine mHealth educational‐behavioural interventions on cardiovascular outcomes. Findings from this pilot study will inform the development of a digital educational framework for patients living with AF. Implications for the Profession and/or Patient Care: There remain many gaps in providing high‐quality patient education for patients with AF. This trial will test a new theory‐driven, smartphone‐based education program on important clinical outcomes, including rehospitalisation. Impact: This study evaluates a novel, co‐designed, digital AF educational program, 'INFORM‐AF', to reduce the re‐hospitalisation of people with AF.Study results are expected to be reported in 2025.Findings are expected to inform practice recommendations for AF patient education that may be included in future clinical practice guideline recommendations. Reporting Method: SPIRIT Checklist. Patient or Publication Contribution: JL is a consumer co‐researcher on the project and provided critical input into intervention design, and feedback and input across the study duration. [ABSTRACT FROM AUTHOR]

Background: Digital, or eHealth, interventions are highly promising approaches to help adolescents improve their health behaviours and reduce their risk of chronic disease. However, they often have low uptake and retention. There is also a paucity of high-quality research into the predictors of eHealth engagement, and a lack of studies that have systematically evaluated existing engagement strategies in adolescent populations. This paper describes the protocol for a randomised controlled trial which primarily aims to assess the effectiveness of different strategies in increasing engagement with a healthy lifestyles app, Health4Life. Associations between the engagement strategies and improvements in adolescent health behaviours (healthy eating, physical activity, sleep, recreational screen time, smoking, alcohol use) will also be examined, along with potential predictors of adolescents' intentions to use health apps and their use of the Health4Life app. Methods: The current study will aim to recruit 336 adolescent and parent/guardian dyads (total sample N = 672) primarily through Australia wide online advertising. All adolescent participants will have access to the Health4Life app (a multiple health behaviour change, self-monitoring mobile app). The trial will employ a 24 factorial design, where participants will be randomly allocated to receive 1 of 16 different combinations of the four engagement strategies to be evaluated: text messages, access to a health coach, access to additional gamified app content, and provision of parent/guardian information resources. Adolescents and parents/guardians will both complete consent processes, baseline assessments, and a follow-up assessment after 3 months. All participants will also be invited to complete a qualitative interview shortly after follow-up. The primary outcome, app engagement, will be assessed via an App Engagement Index (Ei) using data collected in the Health4Life app and the Mobile App Rating Scale – User version. Discussion: This research will contribute significantly to building our understanding of the types of strategies that are most effective in increasing adolescents' engagement with health apps and which factors may predict adolescents' use of health apps. Trial registration: The trial is registered at the Australian New Zealand Clinical Trials Registry (ACTRN12623000399695). Date registered: 19/04/2023. [ABSTRACT FROM AUTHOR]

This study aims to review the proposed methodologies and reported performances of automated algorithms for seizure forecast. A systematic review was conducted on studies reported up to May 10, 2024. Four databases and registers were searched, and studies were included when they proposed an original algorithm for automatic human epileptic seizure forecast that was patient specific, based on intraindividual cyclic distribution of events and/or surrogate measures of the preictal state and provided an evaluation of the performance. Two meta-analyses were performed, one evaluating area under the ROC curve (AUC) and another Brier Skill Score (BSS). Eighteen studies met the eligibility criteria, totaling 43 included algorithms. A total of 419 patients participated in the studies, and 19442 seizures were reported across studies. Of the analyzed algorithms, 23 were eligible for the meta-analysis with AUC and 12 with BSS. The overall mean AUC was 0.71, which was similar between the studies that relied solely on surrogate measures of the preictal state, on cyclic distributions of events, and on a combination of these. BSS was also similar for the three types of input data, with an overall mean BSS of 0.13. This study provides a characterization of the state of the art in seizure forecast algorithms along with their performances, setting a benchmark for future developments. It identified a considerable lack of standardization across study design and evaluation, leading to the proposal of guidelines for the design of seizure forecast solutions. [ABSTRACT FROM AUTHOR]

Objective: Cervical cancer is the leading cause of cancer in low‐ and middle‐income countries, despite being preventable. Uganda, which lacks an effective screening program, has one of the highest global cervical cancer incidence rates. Mobile health (mHealth) technology has the potential to improve healthcare‐seeking behaviors and access. The present study describes the connection between mobile phone access and healthcare‐seeking behaviors in rural Uganda. Methods: Women were eligible for this cross‐sectional study if they had no prior screening or treatment for cervical cancer in the past 5 years, were aged 30 to 49 years old, and were residents of the South Busoga Forest reserve. Survey data was analyzed using descriptive statistics and chi‐square tests. Results: Of the 1434 participants included in the analysis, 91.4% reported having access to a mobile phone. Most respondents were aged 30–40 years, had a partner, had ≤primary education, and were farmers. Participants with mobile phone access were significantly more likely to report attending a healthcare outreach visit (access = 87.3%, no access = 72.6%, P < 0.001) or visiting a health center (access = 96.9%, no access = 93.5%, P < 0.001). Participants in both groups had largely positive attitudes around and good knowledge of cervical cancer screening. Conclusion: While attendance to healthcare services was high amongst participants, those with mobile phone access were more likely to seek healthcare services. Further inquiry into this association between mobile phone access and healthcare‐seeking behavior is needed to optimize the improvements to cervical cancer screening when implementing interventions such as mHealth technology. Synopsis: The majority of women in Malongo had engaged with health services; however, women with mobile phone access were more likely to utilize health services. [ABSTRACT FROM AUTHOR]

Purpose: We evaluated the feasibility, acceptability and preliminary efficacy of a standardized nurse delivered mobile phone intervention to improve adherence to antiretroviral treatment and clinical outcomes. Methods: Feasibility and acceptability of the phone intervention was assessed with rates of eligibility, completed visits, and attritions. Intervention fidelity was assessed by checking recorded calls and feedback. Efficacy was assessed using a randomized controlled trial in which 120 women living with HIV and psychosocial vulnerabilities, were randomized to Treatment as Usual (TAU = 60) or TAU plus the mobile phone intervention (N = 60). Trained basic nurses delivered the theory-guided, standardized mobile phone intervention for mental health issues and psychosocial risk factors to improve antiretroviral treatment (ART) adherence and retention in care and improve clinical outcomes. Blind raters performed the assessments at 6, 12 and 24 weeks post-randomization. Results: Adherence diminished over time in the TAU only group, while it was sustained in the TAU Plus group, only dropping at 24 weeks after the intervention had been discontinued. Among participants with depressive symptoms (CESD ≥ 16), the intervention had significant improvement in adherence rates (p < 0.01), psychological quality of life (p < 0.05) and illness perception (p < 0.05) compared to those in the TAU only group. Greater improvements of quality of life subscales were observed in the TAU Plus group among participants with less psychological vulnerability (PSV < 2). HIV RNA was not significantly different between the groups at week 24. Conclusions: The mobile-delivered counseling intervention was feasible and acceptable and shows promise among women living with HIV and psychosocial vulnerabilities in rural South India. Trial Registration: ClinicalTrials.gov Identifier: NCT02319330 [Registered on: December 18, 2014]. [ABSTRACT FROM AUTHOR]

• Intimate partner violence (IPV) is associated with adverse health outcomes and symptoms of depression are more common among pregnant women exposed to IPV. • During antenatal care it is possible to screen pregnant women for IPV, allowing for early intervention. • A brief digital empowerment-based intervention conducted within antenatal care in Denmark and Spain proved effective in reducing these symptoms. • The intervention proved effective when delivered by both midwives and psychologists. • Women initially presenting with more severe symptoms of depression experienced the highest impact of the intervention. Intimate Partner Violence (IPV) during pregnancy is a significant public health concern associated with adverse maternal and fetal health outcomes, including increased risk of depression. This study aimed to assess the effectiveness of a digital empowerment-based intervention in reducing symptoms of depression among IPV-exposed pregnant women. This intervention study was nested within a cohort study conducted in Denmark and Spain. Pregnant women attending antenatal care were digital screened for IPV using the Abuse Assessment Screen (AAS) and the Women's Abuse Screening Tool (WAST). Those screening positive were offered a digital intervention comprising 3–6 video consultations with trained IPV counsellors and access to a safety planning app. Changes in depression scores from baseline to follow-up were evaluated using mixed model regression. From February 2021-October 2022, 1,545 pregnant women (9.6 %) screened positive for IPV within our population (8.5 % in Denmark and 17.0 % in Spain) with 485 (31.4 %) meeting the criteria for the intervention. Of those eligible, 104 (21.4 %) accepted the intervention, and 55 completed it (13.1 %). Post-intervention, a significant reduction in Edinburgh Postnatal Depression Scale (EPDS) was found, with a mean difference of −3.9 (95 % CI: −5.3; −2.4), compared to the average pre-intervention score of 11.3. Stratifying the analyses across sociodemographic variables did not alter the overall result, indicating a reduction in EPDS scores irrespective of setting or sociodemographic factors. Notably, the intervention was most effective for women initially presenting with EPDS scores above the depression cut-off. The findings suggest that a brief digital intervention is associated with a reduction in depression symptoms among pregnant women exposed to IPV, particularly among those with high depressive scores. This highlights the potential of digital interventions in delivering counseling and shows efficacy when administered by both midwives and psychologists in diverse settings. However, the absence of a control group underscores the need for caution in interpreting the results. [ABSTRACT FROM AUTHOR]

To develop and validate the Mobile Adherence Satisfaction Scale (MASS) for assessing user satisfaction with mobile health applications aimed to improve medication adherence. The study involved patients over 18 with asthma, hypertension, heart failure, or diabetes, who used the CareAide® app for six months. Scale development included a literature review, expert consultations, and patient interviews, initially identifying 129 items. These were refined to 27 using a two-round Delphi technique and grouped into six dimensions: user interface, perceived usability, system quality, service quality, feature satisfaction, and general satisfaction. A pilot study with 30 participants further refined the model, which was then validated with 135 participants using exploratory and confirmatory factor analyses in SPSS 29 and SmartPLS 4. Data were collected via self-administered questionnaires. A total of 135 complete questionnaires were analysed. Respondents had an average age of 66.7 years (SD = 11.6) with 42.2 % male (n = 57) and 57.8 % female (n = 78). After removal of an item due to cross loading, exploratory factor analysis resulted six dimensions and 26 items with Kaiser-Meyer-Olkin measure of 0.837 and Bartlett's Test of Sphericity (χ2(n = 325) = 2085.673, P < 0.001). The confirmatory factor analysis confirmed high reliability and validity: Cronbach's alpha values > 0.70 for each dimension and an overall alpha of 0.89, with Composite Reliability and Average Variance Extracted both >0.70 and >0.50, respectively, for each dimension. Structural model indicated a significant positive impact of user interface (β = 0.226, P = 0.006) and feature satisfaction (β = 0.230, P = 0.002) on general satisfaction, explaining 23.1 % of the variance (R2 = 0.231). The study developed and validated the MASS, a reliable tool for assessing user satisfaction with mHealth apps. User interface design and feature satisfaction are key for long-term engagement and consistent medication adherence. [ABSTRACT FROM AUTHOR]

Background: The Color Me Healthy symptom reporting app was co-designed with school-age children with cancer, their parents, and clinicians. Preliminary studies demonstrated its feasibility and acceptability; however, children and parents identified the need for additional refinements. Methods: Guided by the Technology Acceptance Model and principles of user-centered design, this study supported refinements to the Color Me Healthy user interface and evaluation of its usability. As the programming team completed builds of the app, school-age children with cancer and their parents participated in cognitive walkthrough usability evaluations and qualitative interviews. Usability logs documented the completion of key tasks related to reporting pain and review of child-reported data. Parents completed the Technology Acceptance Model Perceived Usefulness Scale (TAM-PUS). Interview responses were analyzed using qualitative content analysis. Results: Fourteen children (median age 8.5 years; range 6–12) and 14 parents (median age 38.5 years; range 34–49) participated in one of three usability evaluation cycles. After the third cycle, children and parents navigated the app and completed key tasks independently. Median TAM-PUS scores were 6 (range 6–8), indicating high perceived usefulness. Qualitative analyses indicated that children regarded the app as easy and fun to use. Parents emphasized the app's developmental relevance for their child and for themselves as the child's caregiver. Conclusions: This study demonstrates the perceived usefulness and perceived ease of use of the revised Color Me Healthy app. Optimizing the usability of the Color Me Healthy app with attention to the user needs of children and parents positions the app for wider-scale clinical implementation. [ABSTRACT FROM AUTHOR]

Objective: This paper reports on the initial outcomes of a new mHealth intervention to reduce diabetes distress (DD) in families of school-age children living with type 1 diabetes (T1D) entitled, 'Remedy to Diabetes Distress' (R2D2). Methods: We randomized 34 families (mean child age = 10 ± 1.4 years; 53% male, 85% White, mean HbA1c = 7.24 ± 0.71%) to one of three delivery arms differing only by number of telehealth visits over a 10-week period: zero visits = self-guided (SG), three visits = enhanced self-guided (ESG), or eight visits = video visits (VV). All families had 24 × 7 access to digital treatment materials for 10 weeks. We examined the feasibility and acceptability of R2D2. We used the Problem Areas in Diabetes-Child (PPAIDC and PAIDC, parent and child, respectively) to examine treatment effects by time and delivery arm. We performed sensitivity analyses to characterize families who responded to R2D2. Results: It was feasible for families to access R2D2 mHealth content independently, though attendance at telehealth visits was variable. Parents and children reported high satisfaction scores. There were significant pre-post reductions in PPAIDC (p = 0.026) and PAIDC (p = 0.026) scores but no differences by delivery arm. There were no differences in child age, sex, race, or pre-treatment HbA1c for responders versus non-responders, though families who responded reported higher PPAID-C scores pre-treatment (p = 0.01) and tended to report shorter diabetes duration (p = 0.08). Conclusions: Initial results support the acceptability and treatment effects of R2D2 regardless of the frequency of adjunctive virtual visits. Characterizing responders may help to identify families who could benefit from R2D2 in the future. [ABSTRACT FROM AUTHOR]

Diabetes management applications effectively help patients monitor blood glucose levels and adjust diet and exercise plans. However, most diabetes management apps, including the SugarShift application developed in 2023, use generalized designs that often fail to consider the unique cognitive and physiological characteristics of elderly users, thereby impacting their acceptance and usage. This paper proposes an enhancement for the SugarShift application by introducing a mode specifically designed for elderly users. This proposed enhancement aims to directly involve elderly patients so as to meet their needs better through a participatory design approach. A heuristic evaluation conducted with six experts identified 126 usability issues and 179 heuristic violations in the current version, which has led to the recommendation to develop optimization strategies tailored for elderly users. Subsequent usability testing with 28 elderly patients and six experts emphasized the importance of interface simplicity, logical operation, and interaction quality in enhancing user experience. These factors improve usability, facilitate information processing, and reduce cognitive load. Despite the overall usability of SUS scores, significant challenges still need to be addressed in information display, system feedback, and user interaction. Recommendations for future enhancements include simplifying data entry and presentation, improving readability, and providing timely feedback to enhance usability and user satisfaction, ultimately increasing user retention. [ABSTRACT FROM AUTHOR]

e-PainSupport is a digital pain management application (app) designed to facilitate better pain management in hospice. Early testing revealed caregivers found it was easy to use and successful in communicating patient pain and caregiver administration of analgesics to hospice nurses. However, caregiver knowledge of analgesic management remained low. The purpose of this study was to enhance e-PainSupport by (a) adapting and integrating an evidence-based pain educational intervention; (b) increasing ease of accessing and navigating the app; and (c) facilitating app communication with agency electronic health records (EHRs). An advisory board method, including two key stakeholder groups (an expert panel and a caregiver advisory board), guided the adaptation of an evidence-based pain educational intervention. Further, stakeholders recommended format changes to increase app usability. Study staff worked with four hospice agencies to facilitate app communication with EHRs. While modification to the e-PainSupport app to integrate a pain educational intervention and facilitate usability was successful, EHR integration was challenging. Future evaluation is needed to evaluate the effects of e-PainSupport on pain intensity among home hospice patients. [ABSTRACT FROM AUTHOR]

Background and purpose Methods Results Conclusions Dysfunction of the airway defence system in Huntington's disease (HD) is a significant but often overlooked problem. Although expiratory muscle strength training (EMST) is frequently utilized in cough effectiveness treatment, its specific impact in HD patients has not yet been explored. This study investigated the effects of EMST on voluntary peak cough flow (vPCF) in HD patients and evaluated the retention of potential gains post‐intervention.In this prospective case‐controlled trial, 29 HD patients completed an 8‐week wait‐to‐start period, which served to identify the natural development of expiratory muscle strength and vPCF. This was followed by 8 weeks of EMST training and an additional 8 weeks of follow‐up. The study's outcome parameters, vPCF and maximum expiratory pressure (MEP), were measured against those of age‐ and sex‐matched healthy controls.Huntington's disease patients had significantly lower MEP (p < 0.001) and vPCF (p = 0.012) compared to healthy controls at baseline. Following the EMST, significant improvements in MEP (d = 1.39, p < 0.001) and vPCF (d = 0.77, p = 0.001) were observed, with HD patients reaching the cough performance levels of healthy subjects. However, these gains diminished during the follow‐up, with a significant decline in vPCF (d = −0.451, p = 0.03) and in MEP (d = −0.71; p = 0.002).Expiratory muscle strength training improves expiratory muscle strength and voluntary cough effectiveness in HD patients, but an ongoing maintenance programme is necessary to sustain the improvements. [ABSTRACT FROM AUTHOR]

Objective Methods Results Conclusion This study aims to investigate the factors that promote or hinder the feeding of children with minimal or no ultra‐processed products to inform the design of an mHealth strategy in Mexico and prevent child malnutrition among the economically vulnerable.An exploratory qualitative study was conducted, involving 24 in‐depth face‐to‐face interviews with caregivers of children aged 24–59 months from both urban and rural communities. To analyze the data, we used thematic analysis and incorporated a few elements of grounded theory.More barriers than facilitators were identified. Key barriers included: misconceptions and the widespread availability of junk food through an extensive network of grocery stores; neighbors and family gifting junk food; the association of soda with celebrations; the practice of indulging children with junk food; and the normalization of junk food consumption by both adults and children. Facilitators included: caregivers’ awareness of the health risks associated with junk food; economic constraints limiting junk food purchases; support from husbands in regulating children's junk food consumption; the presence of a family member with diabetes; specific cultural beliefs about children's digestive health; as well as displacement of “healthy” foods that nourish children.Based on our findings, we formulated recommendations for interventions at intrapersonal, interpersonal, organizational, community, and public policy levels to support healthier feeding practices for children. [ABSTRACT FROM AUTHOR]

Syndemic theory proposes that co-occurring, mutually reinforcing psychosocial challenges (mental health, substance use, minority stress [discrimination/stigma], abuse, unmet basic needs) drive HIV risk behavior and create barriers to care for marginalized populations. It is thus necessary to address this holistic, complex picture in HIV prevention. Emergency department (ED) visits are a prime opportunity to engage key risk groups, given their low engagement in regular clinic-based care and high utilization of drop-in care via EDs. Yet, EDs are overburdened and under-resourced; mHealth may be a vehicle for intervention delivery in this context. This study aimed to 1) characterize demographics, syndemic profiles, and HIV risk behavior among ED patients and 2) assess the acceptability of addressing syndemic issues, particularly via an mHealth approach, in the ED. A sample of N = 198 ED patients with an indication of HIV risk completed a cross-sectional psychosocial assessment. Descriptive statistics and bivariate correlations between syndemic issues were examined. Patients presenting to the ED reported marginalized identities and complex syndemic profiles including mental health issues (77%), at risk substance use (30%), childhood abuse (35%), adult abuse (31%), minority stress (63%), and unmet basic needs (37%). Over half the sample reported at least three syndemic issues (54%). All syndemic issues were significantly correlated with each other, supporting a synergistic nature. The sample reported indicators of HIV risk including lack of PrEP awareness (33%)/uptake (94%), condomless sex (37%), and not testing for HIV (41%). Majority reported syndemic profiles have never been addressed in the ED (71%), think it would be helpful (88%), and willing to utilize mHealth during an ED visit (76%). The current study provides information to guide next steps for ED-based point-of-care HIV prevention, and more broadly, working towards equitable HIV prevention services reaching those missed by existing interventions. [ABSTRACT FROM AUTHOR]

Background: mHealth has increasingly been touted as having the potential to help Sub-Saharan Africa achieve their health-related sustainable development goals by reducing maternal mortality rates. Such interventions are implemented as one-way or two-way systems where maternal clients receive pregnancy related information via SMS. While such technologies often view the users (the maternal health client) as having agency to adopt, we know from pregnancy literature that the pregnancy experience in Africa and other developing countries is often more collective. In addition to the maternal health client, other members of the community have high stakes in the pregnancy, and this often affects maternal healthcare-seeking behavior. Objective: The aim of this paper, therefore, is to understand the pathways through which these other members of the community affect mHealth use. Methods: The study used a qualitative approach and a case study research design. We analyzed two mHealth cases from Kenya and Malawi. In the Kenyan case, maternal health clients had mobile phones to receive pregnancy-related messages, while in the Malawi case, maternal health clients did not have mobile phones. Data were collected through interviews and focus group discussions. The study used an inductive thematic analysis to analyze the data. Results: The findings show that maternal stakeholders form a community of purpose (CoP) that plays a crucial role in the implementation, uptake, and use of mHealth. The CoP influences maternal health clients through a diverse range of mechanisms ranging from sensitization, bridging the digital literacy gap and legitimization of the intervention. The nature of influence is largely dependent on the contextual socio-cultural nuances. Conclusion: Our results provide useful insights to mHealth implementers to know how best to leverage the CoP for better mHealth uptake and usage. For example, engaging healthcare providers could champion adoption and use, while engaging other family-related stakeholders will ensure better usage and compliance, encourage behavior change, and reduce mHealth attrition. [ABSTRACT FROM AUTHOR]

Background: Work-related stress is detrimental to individual health and incurs substantial social costs. Interventions to tackle this problem are urgently needed, with mHealth solutions being a promising way of delivering accessible and standardized interventions on a wide scale. This study pilot tests a low-intensive mHealth intervention designed to mitigate the negative consequences of stress through promoting recovery strategies. Methods: Nursing school students (N = 16) used the intervention for a month. Data were collected immediately before, immediately after, and one month after the end of the intervention. Additionally, intensive longitudinal data were collected daily during the time of the intervention. Primary outcome measures include recruitment and retention rates, engagement with and acceptability of the intervention, as well as evaluating the quality of measurement instruments. Results: Recruitment and retention rates provide a benchmark that we need to invite 10–12 times the intended target sample size. Engagement and acceptability metrics are promising overall, showing key areas that need to be adapted to improve the intervention. Measurement quality is acceptable with instruments mostly functioning as intended. Conclusion: Results show that the intervention and study protocol are feasible for conducting a randomized controlled trial given a few adjustments. The randomization algorithm needs to match the sample size in order to allocate evenly distributed experimental groups. Acceptability of the intervention may be improved through adapting the recommended recovery strategies. Some additional outcome measures are suggested to provide a more comprehensive picture of intervention effects. Trial registration: NCT06228495. Registered retrospectively 01/10/2024. [ABSTRACT FROM AUTHOR]

In this paper, we present the implementation of an artificial intelligence health assistant designed to complement a previously built eHealth data acquisition system for helping both patients and medical staff. The assistant allows users to query medical information in a smarter, more natural way, respecting patient privacy and using secure communications through a chat style interface based on the Matrix decentralized open protocol. Assistant responses are constructed locally by an interchangeable large language model (LLM) that can form rich and complete answers like most human medical staff would. Restricted access to patient information and other related resources is provided to the LLM through various methods for it to be able to respond correctly based on specific patient data. The Matrix protocol allows deployments to be run in an open federation; hence, the system can be easily scaled. [ABSTRACT FROM AUTHOR]

This study investigates the effectiveness of using Hospital Fit as part of usual care physiotherapy on the physical activity (PA) behavior of hospitalized patients compared to patients who received physiotherapy before implementation of Hospital Fit. In addition, a process evaluation is conducted. A prospective, multi-center, mixed-methods stepped wedge cluster randomized trial was performed at the cardiology and medical oncology departments of two Dutch university medical centers. Patients were included in the non-intervention or intervention phase. During the non-intervention phase, patients received usual care physiotherapy. During the intervention phase, Hospital Fit was additionally used. Mean time spent walking, standing, lying/sitting per day and the number of postural transitions from lying/sitting to standing/walking positions were measured using an accelerometer and analyzed using linear mixed models. A process evaluation was performed using questionnaires and semi-structured interviews with patients and focus-group interviews with healthcare professionals. A total of 77 patients were included, and data from 63 patients were used for data analysis. During the intervention phase, the average time spent walking per day was 20 min (95% confidence interval: −2 to 41 min) higher than during the non-intervention phase (p = 0.075). No significant differences were found for mean time spent standing per day, mean time spent lying/sitting per day, or the number of postural transitions per day either. During the intervention phase, 87% of patients used Hospital Fit at least once, with a median daily use of 2.5 to 4.0 times. Patients and healthcare professionals believed that Hospital Fit improved patients' PA behavior and recovery. Insufficient digital skills and technical issues were described as challenges. Although patients and healthcare professionals described Hospital Fit as an added value, no statistically significant effects were found. [ABSTRACT FROM AUTHOR]