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Digital platforms are often characterized as enablers of new ecosystems. However, platforms are sometimes introduced into pre-existing ecosystems, where a platform’s ability to harmonize with the ecosystem is critical for its success. This article draws on the case of digital healthcare platforms and introduces the concept of platform grafting, which denotes the process of integrating a new platform into a pre-existing ecosystem, leading to a coevolutionary process of adapting both the platform and the surrounding ecosystem. Dynamic capabilities are critical for successfully integrating the platform into the ecosystem, and this article provides a capabilities framework for understanding platform grafting. [ABSTRACT FROM AUTHOR]

BACKGROUND: Qualitative methods are incredibly beneficial to the dissemination and implementation of new digital health interventions; however, these methods can be time intensive and slow down dissemination when timely knowledge from the data sources is needed in ever-changing health systems. Recent advancements in generative artificial intelligence (GenAI) and their underlying large language models (LLMs) may provide a promising opportunity to expedite the qualitative analysis of textual data, but their efficacy and reliability remain unknown. OBJECTIVE: The primary objectives of our study were to evaluate the consistency in themes, reliability of coding, and time needed for inductive and deductive thematic analyses between GenAI (ie, ChatGPT and Bard) and human coders. METHODS: The qualitative data for this study consisted of 40 brief SMS text message reminder prompts used in a digital health intervention for promoting antiretroviral medication adherence among people with HIV who use methamphetamine. Inductive and deductive thematic analyses of these SMS text messages were conducted by 2 independent teams of human coders. An independent human analyst conducted analyses following both approaches using ChatGPT and Bard. The consistency in themes (or the extent to which the themes were the same) and reliability (or agreement in coding of themes) between methods were compared. RESULTS: The themes generated by GenAI (both ChatGPT and Bard) were consistent with 71% (5/7) of the themes identified by human analysts following inductive thematic analysis. The consistency in themes was lower between humans and GenAI following a deductive thematic analysis procedure (ChatGPT: 6/12, 50%; Bard: 7/12, 58%). The percentage agreement (or intercoder reliability) for these congruent themes between human coders and GenAI ranged from fair to moderate (ChatGPT, inductive: 31/66, 47%; ChatGPT, deductive: 22/59, 37%; Bard, inductive: 20/54, 37%; Bard, deductive: 21/58, 36%). In general, ChatGPT and Bard performed similarly to each other across both types of qualitative analyses in terms of consistency of themes (inductive: 6/6, 100%; deductive: 5/6, 83%) and reliability of coding (inductive: 23/62, 37%; deductive: 22/47, 47%). On average, GenAI required significantly less overall time than human coders when conducting qualitative analysis (20, SD 3.5 min vs 567, SD 106.5 min). CONCLUSIONS: The promising consistency in the themes generated by human coders and GenAI suggests that these technologies hold promise in reducing the resource intensiveness of qualitative thematic analysis; however, the relatively lower reliability in coding between them suggests that hybrid approaches are necessary. Human coders appeared to be better than GenAI at identifying nuanced and interpretative themes. Future studies should consider how these powerful technologies can be best used in collaboration with human coders to improve the efficiency of qualitative research in hybrid approaches while also mitigating potential ethical risks that they may pose.

BACKGROUND: Digital health interventions are promising for reaching and engaging high-risk youth in disease prevention opportunities; however, few digital prevention interventions have been developed for Hispanic youth, limiting our knowledge of these strategies among this population. OBJECTIVE: This study qualitatively assessed the feasibility and acceptability of Fit24, a 12-week goal-setting intervention that uses a Fitbit watch (Fitbit Inc) and theoretically grounded SMS text messages to promote physical activity and sleep among Hispanic adolescents (aged between 14 and 16 years) with obesity. METHODS: After completing the intervention, a subsample of youth (N=15) participated in an in-depth interview. We categorized the themes into dimensions based on participant perspectives using the Practical, Robust Implementation, and Sustainability Model (PRISM) framework. RESULTS: Participants shared positive perceptions of wearing the Fitbit and receiving SMS text messages. Youth were highly engaged in monitoring their behaviors and perceived increased activity and sleep. Almost all youth organically received social support from a peer or family member and suggested the use of a group chat or team challenge for integrating peers into future interventions. However, most youth also expressed the need to take personal responsibility for the change in their behavior. Barriers that impacted the feasibility of the study included the skin-irritating material on the Fitbit watch band and environmental barriers (eg, lack of resources and school schedules), that limited participation in activity suggestions. Additionally, sync issues with the Fitbit limited the transmission of data, leading to inaccurate feedback. CONCLUSIONS: Fit24 is a promising approach for engaging Hispanic youth in a diabetes prevention program. Strategies are needed to address technical issues with the Fitbit and environmental issues such as message timing. While integrating peer social support may be desired by some, peer support strategies should be mindful of youths desire to foster personal motivation for behavior change. Findings from this study will inform future diabetes prevention trials of Fit24 and other digital health interventions for high-risk pediatric populations.

BACKGROUND: Attention-deficit/hyperactivity disorder (ADHD) remains underdiagnosed and undertreated in girls. Inattentive symptoms, often predominant in girls with ADHD, represent a key driver of impairment and often persist into adulthood. AKL-T01 is a regulated digital therapeutic targeting inattention. We examined potential sex differences in the efficacy of AKL-T01 in three separate trials for 1) children, 2) adolescents, and 3) adults. METHODS: We conducted secondary analyses of clinical outcomes by sex in three AKL-T01 randomized clinical trials in ADHD (n1 = 180 children 30.6% female, M(SD) age = 9.71 (1.32); n2 = 146 adolescents; 41.1% female, M(SD) age = 14.34 (1.26); n3 = 153 adults; 69.9% female, M(SD) age = 39.86 (12.84)). Active treatment participants used AKL-T01 for 25 min/day over 4-6 weeks. Primary outcomes included change in attention on the Test of Variables of Attention (TOVA) and symptom change on the clinician-rated ADHD Rating Scale (ADHD-RS). To evaluate study hypotheses, we conducted a series of robust linear regressions of TOVA and ADHD-RS change scores by sex, adjusting for baseline scores. RESULTS: In children, girls demonstrated greater improvement in objective attention relative to boys following AKL-T01 (TOVA Attentional Composite Score; Cohens d = .36 and Reaction Time Mean Half; Cohens d = .54), but no significant sex differences in ADHD rating scale change. We did not observe significant sex differences in outcomes in the adolescent or adult trials. Limitations include binary sex categorization and slight study design variation across the three samples. CONCLUSION: AKL-T01 might notably improve attentional functioning in girls with ADHD relative to boys. Objective attention measures may be particularly important in the assessment of attentional improvement in childhood, given known gender biases in ADHD symptom reporting. We emphasize the importance of considering sex and gender-specific factors in ADHD treatment evaluation. TRIAL REGISTRATIONS: STARS ADHD CHILD: ClinicalTrials.gov ID NCT03649074; STARS ADHD ADOLESCENT: ClinicalTrials.gov ID NCT04897074; STARS ADHD ADULT: ClinicalTrials.gov ID NCT05183919.

OBJECTIVES: This study sought to capture current digital health company experiences integrating with electronic health records (EHRs), given new federally regulated standards-based application programming interface (API) policies. MATERIALS AND METHODS: We developed and fielded a survey among companies that develop solutions enabling human interaction with an EHR API. The survey was developed by the University of California San Francisco in collaboration with the Office of the National Coordinator for Health Information Technology, the California Health Care Foundation, and ScaleHealth. The instrument contained questions pertaining to experiences with API integrations, barriers faced during API integrations, and API-relevant policy efforts. RESULTS: About 73% of companies reported current or previous use of a standards-based EHR API in production. About 57% of respondents indicated using both standards-based and proprietary APIs to integrate with an EHR, and 24% worked about equally with both APIs. Most companies reported use of the Fast Healthcare Interoperability Resources standard. Companies reported that standards-based APIs required on average less burden than proprietary APIs to establish and maintain. However, companies face barriers to adopting standards-based APIs, including high fees, lack of realistic clinical testing data, and lack of data elements of interest or value. DISCUSSION: The industry is moving toward the use of standardized APIs to streamline data exchange, with a majority of digital health companies using standards-based APIs to integrate with EHRs. However, barriers persist. CONCLUSION: A large portion of digital health companies use standards-based APIs to interoperate with EHRs. Continuing to improve the resources for digital health companies to find, test, connect, and use these APIs without special effort will be crucial to ensure future technology robustness and durability.

BackgroundSocial distancing from the COVID-19 pandemic may have decreased engagement in cardiac rehabilitation (CR) and may have had possible consequences on post-CR exercise maintenance. The increased use of technology as an adaptation may benefit post-CR participants via wearables and social media. Thus, we sought to explore the possible relationships of both the pandemic and technology on post-CR exercise maintenance.ObjectiveThis study aimed to (1) understand CR participation during the COVID-19 pandemic, (2) identify perceived barriers and facilitators to physical activity after CR completion, and (3) assess willingness to use technology and social media to support physical activity needs among older adults with cardiovascular disease.MethodsWe recruited participants aged 55 years and older in 3 different CR programs offered at both public and private hospitals in Northern California. We conducted individual interviews on CR experiences, physical activity, and potential for using technology. We used thematic analysis to synthesize the data.ResultsIn total, 22 participants (n=9, 41% female participants; mean age 73, SD 8 years) completed in-depth interviews. Themes from participants' feedback included the following: (1) anxiety and frustration about the wait for CR caused by COVID-19 conditions, (2) positive and safe participant experience once in CR during the pandemic, (3) greater attention needed to patients after completion of CR, (4) notable demand for technology during the pandemic and after completion of CR, and (5) social media networking during the CR program considered valuable if training is provided.ConclusionsIndividuals who completed CR identified shared concerns about continuing physical activity despite having positive experiences during the CR program. There were significant challenges during the pandemic and heightened concerns for safety and health. The idea of providing support by leveraging digital technology (wearable devices and social media for social support) resonated as a potential solution to help bridge the gap from CR to more independent physical activity. More attention is needed to help individuals experience a tailored and safe transition to home to maintain physical activity among those who complete CR.

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.

Longitudinal snoring changes can be captured using a mobile phone application. During hypoglossal nerve stimulator (HNS) therapy up-titration, increasing stimulation voltage was associated with reduced snoring frequency and intensity in this case series of six patients. Laryngoscope, 134:987-992, 2024.

There are unique challenges that arise from participating in remote clinical trials. Broadly, findings suggest that participants enrolled in digital intervention trials are more likely to disengage or prematurely dropout than participants in face-to-face trials. Thus, optimizing contact with participants via video-conferencing platforms to build rapport and encourage commitment to the study is critical. Still, challenges with video-conferencing visits can pose challenges. Some of these challenges include a lack of clarity about study requirements, difficulties demonstrating staff engagement and building rapport, and the technical challenges of using video-conferencing software. These challenges can affect participant retention, study validity, and the willingness of underserved groups to participate in research. In the context of a remote randomized clinical trial evaluating a digital intervention for prenatal insomnia, we discuss strategies used to counteract these challenges, including the use of virtual orientation sessions, and practical recommendations to improve staff engagement with participants. These findings are relevant to research teams conducting remote clinical trials, especially those seeking to recruit and retain participants from populations currently and historically underrepresented in research.

BACKGROUND: Artificial intelligence (AI) is a rapidly advancing field that is beginning to enter the practice of medicine. Primary care is a cornerstone of medicine and deals with challenges such as physician shortage and burnout which impact patient care. AI and its application via digital health is increasingly presented as a possible solution. However, there is a scarcity of research focusing on primary care physician (PCP) attitudes toward AI. This study examines PCP views on AI in primary care. We explore its potential impact on topics pertinent to primary care such as the doctor-patient relationship and clinical workflow. By doing so, we aim to inform primary care stakeholders to encourage successful, equitable uptake of future AI tools. Our study is the first to our knowledge to explore PCP attitudes using specific primary care AI use cases rather than discussing AI in medicine in general terms. METHODS: From June to August 2023, we conducted a survey among 47 primary care physicians affiliated with a large academic health system in Southern California. The survey quantified attitudes toward AI in general as well as concerning two specific AI use cases. Additionally, we conducted interviews with 15 survey respondents. RESULTS: Our findings suggest that PCPs have largely positive views of AI. However, attitudes often hinged on the context of adoption. While some concerns reported by PCPs regarding AI in primary care focused on technology (accuracy, safety, bias), many focused on people-and-process factors (workflow, equity, reimbursement, doctor-patient relationship). CONCLUSION: Our study offers nuanced insights into PCP attitudes towards AI in primary care and highlights the need for primary care stakeholder alignment on key issues raised by PCPs. AI initiatives that fail to address both the technological and people-and-process concerns raised by PCPs may struggle to make an impact.

PURPOSE: The impact of digital health on medically underserved patients is unclear. This study aimed to determine the early impact of a digital innovation to grow quality care through an interprofessional care team (DIG IT) on the blood pressure (BP) and 10-year atherosclerotic cardiovascular disease (ASCVD) risk score of medically underserved patients. METHODS: This was a 3-month, prospective intervention study that included patients aged 40 years or more with BP of 140/90 mmHg or higher who received care from DIG IT from August through December 2021. Sociodemographic and clinical outcomes of DIG IT were compared with historical controls (controls) whose data were randomly extracted by the University of California Data Warehouse and matched 1:1 based on age, ethnicity, and baseline BP of the DIG IT arm. Multiple linear regression was performed to adjust for potential confounding factors. RESULTS: A total of 140 patients (70 DIG IT, 70 controls) were included. Both arms were similar with an average age (SD) of 62.8 (9.7) years. The population was dominated by Latinx (79.3%) persons, with baseline mean BP of 163/81 mmHg, and mean ASCVD risk score of 23.9%. The mean (SD) reduction in systolic BP at 3 months in the DIG IT arm was twice that of the controls (30.8 [17.3] mmHg vs 15.2 [21.2] mmHg; P

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.

Background: During the COVID-19 pandemic, digital health solutions ensured the continuity of care especially in primary healthcare practices. COVID-19 accelerated the adoption of digital health solutions. The aim of this study is to describe the digital health-related attitudes and experiences of Hungarian Primary Care Physicians (PCPs) and also analyse the socio-demographic effects on digital health attitudes among PCPs. Methods: This study used a quantitative and qualitative mixed methodological approach to examine the digital health-related attitudes and experience of Hungarian PCPs. As part of the "E-physicians and E-patients in Hungary" survey, we conducted an online survey among medical doctors working in Hungary between July 2021 to May 2022. A total of 1,774 questionnaires were received, consisting of 1,576 medical doctors and 198 dentists. Among the medical doctors there were 415 primary care physicians (PCPs). In addition to the online questionnaire survey, qualitative research in the form of semi-structured interviews with doctors was also conducted. These interviews took place between October 2021 and June 2022. A total of 62 interviews were conducted,19 with PCPs. Results: Primary care physicians are more open to technologies that facilitate communication and collaboration with patients, while showing less interest in technologies that support clinical work. Of the demographic variables (age, gender, type of settlement), age was found to have the most significant effect on digital health knowledge, use and intended use. Both the interviews and the multivariate analysis indicate that individuals with greater knowledge, expertise, and experience are more likely to perceive the advantages of digital solutions. This highlights the importance of training, especially given the significant aging population among Hungarian primary care physicians, who may not be accustomed to using these tools naturally. The way PCPs perceive patient expectations regarding the use of digital health tools has a significant impact on the PCPs' use and intended use of digital tools. When looking at perceived patient needs among PCPs the effect of age and municipality type of PCPs is significant. As age increases, the perception of patient needs decreases (from 5.02 to 4.47), and by municipality type, the average number of perceived needs decreases as one moves from larger cities to smaller municipalities (from 4.85 to 4.14). Conclusions: Digital health solutions have the potential to enhance the work of PCPs, but successful implementation requires addressing specific needs, demographic differences, and challenges faced by PCPs. Development of infrastructure, education, and institutional support is necessary to ensure more efficient and higher-quality healthcare delivery through the use of digital technologies. [ABSTRACT FROM AUTHOR]

Purpose Methods Results Conclusions Examine the development, implementation and evaluation of just‐in‐time adaptive interventions (JITAIs) in behaviour change and evaluate the quality of intervention reporting.A scoping review of JITAIs incorporating mobile health (mHealth) technologies to improve health‐related behaviours in adults. We searched MEDLINE, Embase and PsycINFO using terms related to JITAIs, mHealth, behaviour change and intervention methodology. Narrative analysis assessed theoretical foundations, real‐time data capturing and processing methods, outcome evaluation and summarized JITAI efficacy. Quality of intervention reporting was assessed using the template for intervention description and replication (TIDieR) checklist.Sixty‐two JITAIs across physical activity, sedentary behaviour, dietary behaviour, substance use, sexual behaviour, fluid intake, treatment adherence, social skills, gambling behaviour and self‐management skills were included. The majority (71%) aimed to evaluate feasibility, acceptability and/or usability. Supporting evidence for JITAI development was identified in 46 studies, with 67% applying this to develop tailored intervention content. Over half (55%) relied solely on self‐reported data for tailoring, and 13 studies used only passive monitoring data. While data processing methods were commonly reported, 44% did not specify their techniques. 89% of JITAI designs achieved full marks on the TIDieR checklist and provided sufficient details on JITAI components. Overall, JITAIs proved to be feasible, acceptable and user‐friendly across behaviours and settings. Randomized trials showed tailored interventions were efficacious, though outcomes varied by behaviour.JITAIs offer a promising approach to developing personalized interventions, with their potential effects continuously growing. The recommended checklist emphasizes the importance of reporting transparency in establishing robust intervention designs. [ABSTRACT FROM AUTHOR]

Background : The prevention of type 2 diabetes (T2DM) is recognised as a health care priority in the UK. In people living with T2DM, lifestyle changes (e.g. increasing physical activity) have been shown to slow disease progression and protect from the development of associated comorbidities. The use of digital health technologies provides a strategy to increase physical activity in patients with chronic disease. Furthermore, behaviour economics suggests that financial incentives may be a useful strategy for increasing the maintenance and effectiveness of behaviour change intervention, including physical activity intervention using digital health technologies. The Milton Keynes Activity Rewards Programme (MKARP) is a 24-month intervention which combines the use of a mobile health app, smartwatch (Fitbit or Apple watch) and financial incentives to encourage people living with T2DM to increase physical activity to improve health. Therefore, this randomised controlled trial aims to examine the long-term acceptability, health effects and cost-effectiveness of the MKARP on HbA1c in patients living with T2DM versus a waitlist usual care comparator. Methods: A two-arm, single-centre, randomised controlled trial aiming to recruit 1018 participants with follow-up at 12 and 24 months. The primary outcome is the change in HbA1c at 12 months. Secondary outcomes included changes in markers of metabolic, cardiovascular, anthropometric, and psychological health along with cost-effectiveness. Recruitment will be via annual diabetes review in general practices, retinal screening services and social media. Participants aged 18 or over, with a diagnosis of type 2 diabetes and a valid HbA1c measurement in the last 2 months are invited to take part in the trial. Participants will be individually randomised (1:1 ratio) to receive either the Milton Keynes Activity Rewards Programme or usual care. The intervention will last for 24 months with assessment for outcomes at baseline, 12 and 24 months. Discussion: This study will provide new evidence of the long-term effectiveness of an activity rewards scheme focused on increasing physical activity conducted within routine care in patients living with type 2 diabetes in Milton Keynes, UK. It will also investigate the cost-effectiveness of the intervention. Trial registration: ISRCTN 14925701. Registered on 30 October 2023. [ABSTRACT FROM AUTHOR]

Background: There are avoidable differences (i.e., inequities) in the prevalence and distribution of chronic pain across diverse populations, as well as in access to and outcomes of pain management services. Digital pain self-reporting tools have the potential to reduce or exacerbate these inequities. This study aimed to better understand how to optimise the health equity impact of digital pain self-reporting tools on people who are experiencing (or are at risk of) digital pain inequities. Methods: This was a qualitative study, guided by the Health Equity Impact Assessment tool—digital health supplement (HEIA-DH). We conducted three scoping focus groups with multiple stakeholders to identify the potential impacts of digital pain self-reporting tools and strategies to manage these impacts. Each group focused on one priority group experiencing digital pain inequities, including older adults, ethnic minorities, and people living in socio-economically deprived areas. A fourth consensus focus group was organised to discuss and select impact management strategies. Focus groups were audio-recorded, transcribed verbatim, and analysed using a framework approach. We derived codes, grouped them under four pre-defined categories from the HEIA-DH, and illustrated them with participants' quotes. Results: A total of fifteen people living with musculoskeletal pain conditions and thirteen professionals took part. Participants described how digital pain self-reports can have a positive health equity impact by better capturing pain fluctuations and enriching patient-provider communication, which in turn can enhance clinical decisions and self-management practices. Conversely, participants identified that incorrect interpretation of pain reports, lack of knowledge of pain terminologies, and digital (e.g., no access to technology) and social (e.g., gender stereotyping) exclusions may negatively impact on people's health equity. The participants identified 32 strategies, of which 20 were selected as being likely to mitigate these negative health equity impacts. Example strategies included, e.g., option to customise self-reporting tools in line with users' personal preferences, or resources to better explain how self-reported pain data will be used to build trust. Conclusion: Linked to people's personal and social characteristics, there are equity-based considerations for developing accessible digital pain self-reporting tools, as well as resources and skills to enable the adoption and use of these tools among priority groups. Future research should focus on implementing these equity-based considerations or strategies identified by our study and monitoring their impact on the health equity of people living with chronic pain. [ABSTRACT FROM AUTHOR]

In this study, a breathable and strain‐insensitive multi‐layered electronic skin (e‐skin) capable of real‐time detection and distinction of electrocardiogram (ECG) signals, temperature, and skin hydration is developed. Leveraging a scalable benchtop method, sensing elements are transferred onto porous and hydrophobic substrates, followed by multi‐layer stacking to enable multimodal sensing. The sensing elements, a combination of carbon nanotube and nanoporous carbon (CNT@NPC) ink, are applied using strain‐insensitive patterned masks, then spray‐coated with styrene–ethylene–butylene–styrene (SEBS) to create a hierarchical porous network through phase separation. The CNT@NPC networks exhibit an improvement in strain insensitivity with active sensing capabilities due to their adaptable molecular tuning capacity and exceptional electrical conductivity. The porous SEBS substrate offers strong bonding with CNT@NPC attributed to the π–π interactions and high kinetic energy dispersion from spray coating allowing effective transfer. This unique design facilitates breathability, and miniaturization that minimizes the interference between different sensing modalities, ensuring accurate and reliable data acquisition. The breathability (3.49 mg cm−2 h−1) and the non‐smearing nature of the multi‐layered e‐skin enables simultaneous monitoring of temperature (0.198% °C−1), skin hydration (relative humidity = 0.77% %−1), and ECG (26 ± 1 dB) with continuous data transmission to a remote smartphone interface. [ABSTRACT FROM AUTHOR]

Not surprisingly, incarceration's extreme separation and stress have significant negative effects on romantic relationships. Unfortunately, few programs have been developed to improve jailed individuals' romantic relationship with their non‐incarcerated partner. The present study investigated the effectiveness of the individual version of the digital OurRelationship program for incarcerated individuals. The current study is a program evaluation of services provided by PayTel Inc. (a provider of eLearning and communication devices in US jails) between June 2020 and November 2021. Of the 5411 individuals in a romantic relationship who started the program, 3034 completed it. Following completion of the program, 78% reported feeling “Mostly” or “Very Satisfied” with the program, and 77% reported “Slight” to “Strong” agreement that their relationship benefited from the program. Individuals' relationship confidence (d = 0.36) and relationship knowledge (d = 0.33) significantly improved during the program. Women and Latino/Hispanic and Asian/PI individuals experienced the largest pre‐post gains in relationship functioning. Furthermore, racial/ethnic minority groups tended to report higher satisfaction with the program. Overall, the high rates of program satisfaction and significant pre‐post changes—combined with their reduced barriers to dissemination—support the delivery of digital relationship programs for jailed individuals interested in strengthening their relationship. [ABSTRACT FROM AUTHOR]

There are routine hospital workflows that are not addressed by certain institutional electronic medical records, including the detection of patients requiring haemodialysis who are admitted under non‐nephrology services. In this study, the feasibility and performance of a clinician‐developed automated haemodialysis patient finder was evaluated. The programme ran with zero downtime for 6 months and had zero false negatives or false positives. This work demonstrates the potential benefits that may be gained when clinicians can meaningfully alter electronic clinical workflows. [ABSTRACT FROM AUTHOR]

Recent methodological developments have contributed to a significant advance in computerised neuropsychological instruments and procedures, including those accessible from remote. In this paper we present Auto-GEMS, a newly developed, web-based, self-administered screening test allowing to quickly estimate an individual's cognitive state also considering their cognitive reserve. Auto-GEMS measures cognitive functioning on eleven items similarly to the in-person paper-and-pencil version (GEMS) and to the remote (phone or video call) version (Tele-GEMS) of the same screening. We collected normative data on a sample of 1308 Italian-speaking participants (age range 18–93) to verify its psychometric properties and computed regression models on demographic variables to establish clinical cut-offs. The psychometric properties of Auto-GEMS have shown good internal consistency, test-retest reliability and convergent validity. This short and user-friendly tool has a number of potential applications. For instance, it can be useful in clinical practice to monitor the cognitive profile of patients or vulnerable individuals, or even administered in a face-to-face, standard clinical setting. It can also be used in research studies to screen participants. The testing materials and the collected data are freely available in a digital archive along with a web App to visualise the test outcome with reference to its normative data. [ABSTRACT FROM AUTHOR]

Background: Therapeutic digital health applications (DiGAs) are expected to significantly enhance access to evidence-based care. Since 2020, German physicians and psychotherapists have been able to prescribe approved DiGAs, which are reimbursed by statutory health insurance. This study investigates the usage, knowledge and perception of DiGAs as well as the growing digitalization among internal medicine physicians in Germany. Methods: A web-based survey was distributed at the 2024 annual congress of the German Society for Internal Medicine. Participants could respond by scanning a QR code or directly on a tablet. Results: A total of 100 physicians completed the survey, with a mean age of 43.4 years. The majority were internal medicine physicians (85%). Of the respondents, 31% had already prescribed DiGAs, and 29% had tested one. Self-rated knowledge of DiGAs was low (median score 3.17/10). The main barriers identified were lack of knowledge about effective implementation (60%), lack of time for patient onboarding (27%), and concerns about patient adherence (21%). However, 92% believed that DiGAs could improve care, and 88% expressed interest in specific digital health training. The majority (64%) stated that digitalization had a positive impact on medical care and 39% of physicians expected their daily workload to decrease due to digitalization. In addition, 38% believed that the physician-patient relationship would improve as a result of digitalization. Conclusions: While physicians widely acknowledged the potential benefits of DiGAs, adoption and understanding remain limited. Specific training in digital health is crucial to accelerate digitalization in internal medicine. [ABSTRACT FROM AUTHOR]

Aim: Identify the skills and knowledge future nurse and midwife leaders might require in the next 6 years. Design/methodology/approach: An online questionnaire elicited health professionals' perspectives on the future requirements for nurse and midwife leaders. Qualitative data were generated in response on health care and the likely leadership skills for the future. Data were extracted and analysed using qualitative content analysis. Findings: Four generic categories were abstracted from the core category 'Nursing and Midwifery Leadership'. These were values/traits; creating positive healthcare cultures; digital capability/competence; and systems thinking. Limitations/implications. This first stage evaluation has gained a wide variety of perspectives regarding the perceived skills and knowledge future nurse and midwife leaders might need. This is important to enable those who deliver leadership development programmes to plan appropriately, ensuring their programmes are designed and adjusted in response to the needs of a shifting health and care landscape. However, over 50% of respondents were White, so the data may not be representative of the diversity of registered nurses and midwives. The findings may not have direct relevance to the global context due to geographical limitations. [ABSTRACT FROM AUTHOR]

Digital decision support and remote patient monitoring may improve outcomes and efficiency, but rarely scale beyond a single institution. Over the last 5 years, the platform Timely Interventions for Diabetes Excellence (TIDE) has been associated with reduced care provider screen time and improved, equitable type 1 diabetes care and outcomes for 268 patients in a heterogeneous population as part of the Teamwork, Targets, Technology, and Tight Control (4T) Study (NCT03968055, NCT04336969). Previous efforts to deploy TIDE at other institutions continue to face delays. In partnership with the diabetes technology non-profit, Tidepool, we developed Tidepool-TIDE, a clinic-agnostic, turnkey solution available to any clinic in the United States. We present how we overcame common technical and operational barriers specific to scaling digital health technology from one site to many. The concepts described are broadly applicable for institutions interested in facilitating broader adoption of digital technology for population-level management of chronic health conditions. [ABSTRACT FROM AUTHOR]

Objective: Artificial intelligence (AI) is revolutionizing healthcare, but less is known about how it may facilitate methodological innovations in research settings. In this manuscript, we describe a novel use of AI in summarizing and reporting qualitative data generated from an expert panel discussion about the role of electronic health records (EHRs) in implementation science. Materials and methods: 15 implementation scientists participated in an hour-long expert panel discussion addressing how EHRs can support implementation strategies, measure implementation outcomes, and influence implementation science. Notes from the discussion were synthesized by ChatGPT (a large language model—LLM) to generate a manuscript summarizing the discussion, which was later revised by participants. We also surveyed participants on their experience with the process. Results: Panelists identified implementation strategies and outcome measures that can be readily supported by EHRs and noted that implementation science will need to evolve to assess future EHR advancements. The ChatGPT-generated summary of the panel discussion was generally regarded as an efficient means to offer a high-level overview of the discussion, although participants felt it lacked nuance and context. Extensive editing was required to contextualize the LLM-generated text and situate it in relevant literature. Discussion and conclusions: Our qualitative findings highlight the central role EHRs can play in supporting implementation science, which may require additional informatics and implementation expertise and a different way to think about the combined fields. Our experience using ChatGPT as a research methods innovation was mixed and underscores the need for close supervision and attentive human involvement. [ABSTRACT FROM AUTHOR]

Background: In response to the widespread transmission of COVID-19 in Australia, healthcare facilities implemented stringent infection control measures, and mandatory and manual screening procedures were introduced to ensure the safety of patients and healthcare staff. However, these necessary measures resulted in imbalances within the healthcare system, a shortage of front-line workers and impacts on patient experience and wait times. The prioritization of infection control measures shifted resources away from routine care, causing delays in accessing necessary healthcare services. Methods and Findings: To address these challenges, we developed and implemented an Internet of Things (IoT) Smart Screening eGate solution in partnership with a large metropolitan children's hospital in Australia. This solution integrated a contactless health self-service web app, thermal camera, and physical barrier to automate the COVID-19 health screening and data recording process. During the 3-month pilot period, we deployed the eGate at multiple entrances to the hospital, and monitored the number of users of the system in different periods. We also used a framework of formative evaluation to classify user design challenges within limited resources and improved the design of the eGate to enhance its effectiveness. Our findings show that the IoT eGate solution improved the efficiency of the screening process and reduced the workload and exposure risks of front-line staff and anyone who required access to the hospital. By automating the screening process, we reduced the need for manual screening and minimized contact between individuals, thus reducing the risk of potentially infected. Conclusion: In conclusion, our pilot study demonstrated the potential of IoT technologies in improving the efficiency and safety of medical facilities during pandemics and provided a series of recommendations for the translation of IoT technologies for medical facilities, including the importance of co-design and collaboration with stakeholders, user-centered design, and ongoing monitoring and evaluation. [ABSTRACT FROM AUTHOR]

Background: Attention Deficit Hyperactivity Disorder (ADHD) is the most prevalent childhood psychiatric condition with profound public health, personal, and family consequences. ADHD requires comprehensive treatment; however, lack of communication and integration across multiple points of care is a substantial barrier to progress. Given the chronic and pervasive challenges associated with ADHD, innovative approaches are crucial. We developed the digital health intervention (DHI)—CoolTaCo [Cool Technology Assisting Co-regulation] to address these critical barriers. CoolTaCo uses Patient-Centered Digital Healthcare Technologies (PC-DHT) to promote co-regulation (child/parent), capture patient data, support efficient healthcare delivery, enhance patient engagement, and facilitate shared decision-making, thereby improving access to timely and targeted mental health intervention for children at significant risk for poor outcomes. The present paper will describe our planned protocol to evaluate the efficacy of CoolTaCo via randomized control trial (RCT). Methods/design: We will recruit 60 children (ages 8–12) with ADHD who will be randomized to either immediate (n = 30) or delayed (n = 30) treatment (i.e., a waitlist control group). Among those randomized to immediate treatment, half will be assigned to DHI (delivered via a smartwatch and smartphone application), the other half to an active control treatment as usual (TAU). Unlike the DHI group, the TAU group will receive the smartwatch with no assigned activities, applications, or interventions on the devices. The intervention period will last 16 weeks; after a participant has been in the delayed treatment group for 16 weeks and has completed the post-waiting period assessment, they will be randomly assigned to either the intervention or active control group. Thus, 30 participants will complete the intervention, and 30 will complete the active control, with half of the total sample completing a waitlist period. Discussion: Individuals with ADHD have complex needs. Despite improvement in outcomes following cognitive behavioral therapies (CBT) and pharmaceutical treatment, long-term maintenance is a challenge often not addressed by traditional medical approaches, and, as we described, ineffective approaches to information sharing across points of care create further barriers to progress. Our research will fill a significant gap in translating early treatment investments and gains into long-term, sustainable outcomes. This study was registered as a clinic trial at ClinicalTrials.gov (Digital Health Intervention for Children With ADHD, ID# NCT06456372) on 06/13/2024. [ABSTRACT FROM AUTHOR]

The document is a correction notice for an article published in the journal "Frontiers in Signal Processing" on the topic of physiological signal processing for wellness. The correction involves updating the author list and editorial content to provide a more comprehensive perspective. The article discusses the potential of physiological signal processing in areas such as stress management, cognitive performance optimization, and early detection of neurological disorders. It also highlights the challenges of data privacy, algorithm accuracy, and generalizability across diverse populations. The document includes summaries of specific research studies on topics like mental state prediction using heart rate variability analysis, AI-powered cough detection for early COVID-19 identification, and deep learning for reliable ECG analysis. The authors emphasize the importance of ethical considerations, transparency, and collaboration in developing and deploying these technologies responsibly and equitably. [Extracted from the article]

The article discusses the cost-effectiveness of digital interventions for mental health, emphasizing the importance of economic evaluations in healthcare decision-making. It explains the techniques used in economic evaluations, such as Cost-Benefit Analysis, Cost-Effectiveness Analysis, and Cost-Utility Analysis. The text also highlights common misconceptions about cost-effectiveness and provides insights into the current evidence on the cost-effectiveness of digital interventions for mental health disorders. Additionally, it suggests future directions for advancing economic evaluations in the field of digital health interventions. [Extracted from the article]

Background: The use of online information and communication is globally increasing in the healthcare sector. In addition to known benefits in other medical fields, possible specific potentials of eHealth lie in the monitoring of oncological patients undergoing outpatient therapy. Specifically, the treatment with immune checkpoint inhibitors (ICI) requires intensive monitoring due to various possible negative side effects. The present study explores cancer patients' perspectives on eHealth and demonstrates how eHealth applications, from the patients' point of view, can contribute to further improving outpatient immunotherapy. Methods and findings: Our multicenter study was executed at the university hospitals in Bonn and Aachen. A structured questionnaire was distributed to patients receiving outpatient immunotherapy. Contents addressed were (1) the patients' attitude towards eHealth applications, (2) the use of modern information and communications technologies (ICT) in (2a) everyday life and (2b) health-related information search including eHealth literacy, (3) the use of internet-enabled devices as well as (4) socio-demographic data. 164 patients were included in the study, of whom 39.0% were female and 61.0% male and the average age was 62.8 years. Overall, there was a high distribution of internet-enabled devices for everyday use and a great interest in integrating eHealth applications into outpatient immunotherapy. The assessment of eHealth potentials significantly depended on age. The younger participants demonstrated a broader use of modern ICT and a higher affinity for its use in outpatient immunotherapy. In some aspects, level of education and gender were also relevant factors influencing the patients' view on eHealth. Conclusion: This study demonstrates the potential for further integration of eHealth applications into outpatient immunotherapy from the patients' perspective. It indicates a dependency on age and educational level for the further integration of eHealth into patient care in oncology. Due to particular patient needs regarding age, level of education, gender and other subgroups, specific education and training as well as target-group specific digital health interventions are necessary to fully utilize the potentials of eHealth for outpatient immunotherapy. Future studies are required to specifically address target-group specific usability of eHealth applications and eHealth literacy, as well as to address information security and data protection. [ABSTRACT FROM AUTHOR]

This article explores the intersection of healthcare accessibility and digitalisation from a rights perspective. Drawing from two illustrative cases presented to a filariasis management clinic in Puducherry, where the authors are affiliated, the article argues that despite the multiple benefits that digital health poses, there are individuals and sections of society that experience marginalisation in healthcare owing to digitalisation. Collating the data generated through the observations of the authors and the narratives of the patients, the article illustrates that such marginalisation can originate even from a relatively simple ICT adaptation like text message-based appointments, inducing health inequities. The impact of such digital marginalisation disproportionately affects vulnerable sections like older adults and the rural population in an intersectional pattern where disadvantages compound to produce larger health inequities for the affected. The study advocates for bridging the digital divide through efforts including digital literacy–when possible–and alternative solutions like dedicated helpdesks, training healthcare staff and involving NGOs and voluntary organisations to ensure health equity for the digitally marginalised. [ABSTRACT FROM AUTHOR]

Digital health research often relies on case vignettes (descriptions of fictitious or real patients) to navigate ethical and practical challenges. Despite their utility, the quality and lack of standardization of these vignettes has often been criticized, especially in studies on symptom-assessment applications (SAAs) and self-triage decision-making. To address this, our paper introduces a method to refine an existing set of vignettes, drawing on principles from classical test theory. First, we removed any vignette with an item difficulty of zero and an item-total correlation below zero. Second, we stratified the remaining vignettes to reflect the natural base rates of symptoms that SAAs are typically approached with, selecting those vignettes with the highest item-total correlation in each quota. Although this two-step procedure reduced the size of the original vignette set by 40%, comparing self-triage performance on the reduced and the original vignette sets, we found a strong correlation (r = 0.747 to r = 0.997, p <.001). This indicates that using our refinement method helps identifying vignettes with high predictive power of an agent's self-triage performance while simultaneously increasing cost-efficiency of vignette-based evaluation studies. This might ultimately lead to higher research quality and more reliable results. [ABSTRACT FROM AUTHOR]

Background: Digital innovations can reduce the global burden of depression by facilitating timely and scalable interventions. In recent years, the number of commercial Digital Health Interventions for Depression (DHIDs) has been on the rise. However, there is limited knowledge on their content and underpinning scientific evidence. This study aimed to: (i) identify the top-funded companies offering DHIDs and (ii) provide an overview of their interventions, including scientific evidence, psychotherapeutic approaches and use of novel technologies. Methods: A systematic search was conducted using two venture capital databases to identify the top-30 funded companies offering DHIDs. In addition, studies related to the DHIDs' were identified via academic databases and hand-searching. The methodological quality of the publications was evaluated using the Mixed Methods Appraisal Tool. Results: The top-30 funded companies offering DHIDs received a total funding of 2,592 million USD. Less than half of the companies produced any scientific research associated with their DHIDs, with a total of 83 publications identified. Twenty-five publications were randomised control trials, of which 15 reported moderate-to-large effects in reducing depression symptoms. Regarding novel technologies, few DHIDs incorporated the use of conversational agents or low-burden sensing technologies. Conclusions: Funding received by top-funded companies was not related to the amount of scientific evidence provided on their DHIDs. There was a strong variation in the quantity of evidence produced and an overall need for more rigorous effectiveness trials. Few DHIDs used automated approaches such as conversational agents, limiting their scalability. [ABSTRACT FROM AUTHOR]

Aims: Digital health transformation may enhance or impede person‐centred care and interprofessional practice, and thus the provision of high‐quality rehabilitation and nutrition services. We aimed to understand how different elements and factors within existing digital nutrition and health systems in subacute rehabilitation units influence person‐centred and/or interprofessional nutrition and mealtime care practices through the lens of complexity science. Methods: Our ethnographic study was completed through an interpretivist paradigm. Data were collected from observation and interviews with patients, support persons and staff. Overall, 58 h of ethnographic field work led to observing 125 participants and interviewing 77 participants, totalling 165 unique participants. We used reflexive thematic analysis to analyse the data with consideration of complexity science. Results: We developed four themes: (1) the interplay of local context and technology use in nutrition care systems; (2) digitalisation affects staff participation in nutrition and mealtime care; (3) embracing technology to support nutrition and food service flexibility; and (4) the (in)visibility of digitally enabled nutrition care systems. Conclusions: While digital systems enhance the visibility and flexibility of nutrition care systems in some instances, they may also reduce the ability to customise nutrition and mealtime care and lead to siloing of nutrition‐related activities. Our findings highlight that the introduction of digital systems alone may be insufficient to enable interprofessional practice and person‐centred care within nutrition and mealtime care and thus should be accompanied by local processes and workflows to maximise digital potential. [ABSTRACT FROM AUTHOR]

In this article we use an existential media framework to explore the asynchronous, written and digital form of GP‐patient communication that takes place through e‐consultations in a Danish general practice context. This approach acknowledges e‐consultation as more than a tool for information delivery and frames GP and patient not as skilful media users but as dependent co‐existers: Both thrown into and trying to navigate the digital healthcare ecology. Through a thematic analysis of 38 semi‐structured qualitative interviews with patients and GPs we carve out three themes unpacking the existential dimensions of e‐consultation: 1. Patient and GP are placed in a Culture of non‐stop connectivity and we show the ambivalences arising herein fostering both relief, reassurance and new insecurities. 2. Ethical challenges of responsible co‐existence points to dilemmas of boundary setting and caring for self and co‐exister in the digital encounter. 3. We‐experiences illustrates the potential of e‐consultation to signal GP presence, even when the GP is silent. We also discuss the existential ethics of care emerging from the contemporary digital healthcare ecology and call for empirically grounded studies of the existential dimensions tied to encounters in contemporary digital care infrastructures. [ABSTRACT FROM AUTHOR]

'Reflexivity', as used by Margaret Archer, means creative self‐mastery that enables individuals to evaluate their social situation and act purposively within it. People with complex health and social needs may be less able to reflect on their predicament and act to address it. Reflexivity is imperative in complex and changing social situations. The substantial widening of health inequities since the introduction of remote and digital modalities in health care has been well‐documented but inadequately theorised. In this article, we use Archer's theory of fractured reflexivity to understand digital disparities in data from a 28‐month longitudinal ethnographic study of 12 UK general practices and a sample of in‐depth clinical cases from 'Deep End' practices serving highly deprived populations. Through four composite patient cases crafted to illustrate different dimensions of disadvantage, we show how adverse past experiences and structural inequities intersect with patients' reflexive capacity to self‐advocate and act strategically. In some cases, staff were able to use creative workarounds to compensate for patients' fractured reflexivity, but such actions were limited by workforce capacity and staff awareness. Unless a more systematic safety net is introduced and resourced, people with complex needs are likely to remain multiply disadvantaged by remote and digital health care. [ABSTRACT FROM AUTHOR]

Recent advancements in mobile health (mHealth) technology and the ubiquity of wearable devices and smartphones have expanded a market for digital health and have emerged as innovative tools for data collection on individualized behavior. Heterogeneous levels of device usage across users and across days within a single user may result in different degrees of underestimation in passive sensing data, subsequently introducing biases if analyzed without addressing this issue. In this work, we propose an unsupervised 2-Stage Pre-processing Algorithm for Passively Sensed mHealth Data (2SpamH) algorithm that uses device usage variables to infer the quality of passive sensing data from mobile devices. This article provides a series of simulation studies to show the utility of the proposed algorithm compared to existing methods. Application to a real clinical dataset is also illustrated. [ABSTRACT FROM AUTHOR]

Wearable devices have a significant impact on society, and recent advancements in modern sensor technologies are opening up new possibilities for healthcare applications. Continuous vital sign monitoring using Internet of Things solutions can be a crucial tool for emergency management, reducing risks in rescue operations and ensuring the safety of workers. The massive amounts of data, high network traffic, and computational demands of a typical monitoring application can be challenging to manage with traditional infrastructure. Cloud computing provides a solution with its built-in resilience and elasticity capabilities. This study presents a Cloud-based monitoring architecture for remote vital sign tracking of paramedics and medical workers through the use of a mobile wearable device. The system monitors vital signs such as electrocardiograms and breathing patterns during work sessions, and it is able to manage real-time alarm events to a personnel management center. In this study, 900 paramedics and emergency workers were monitored using wearable devices over a period of 12 months. Data from these devices were collected, processed via Cloud infrastructure, and analyzed to assess the system's reliability and scalability. The results showed a significant improvement in worker safety and operational efficiency. This study demonstrates the potential of Cloud-based systems and Internet of Things devices in enhancing emergency response efforts. [ABSTRACT FROM AUTHOR]

Why you should read this article: • To learn about a project that aimed to support teams caring for children and young people to reflect on their experiences and the effects of the coronavirus disease 2019 (COVID-19) pandemic • To recognise the need to ensure staff are adequately prepared to manage any future surges in respiratory illness effectively • To be aware of the potential long-term effects of the COVID-19 pandemic on emotional health and well-being. The coronavirus disease 2019 (COVID-19) pandemic was a challenging experience for children and young people’s services, and the workforce. The Valuing All Staff Together programme was a one-year project hosted by the North West Paediatric Critical Care, Surgery in Children, Long Term Ventilation Operational Delivery Network to support teams caring for children and young people to reflect on their experiences of the COVID-19 pandemic. Using an online survey, focus groups and interviews, it gave staff the opportunity to explore and understand the effects of the pandemic and the subsequent surge in demand, including how these affected services and the emotional health and well-being of staff. This would enable better preparation for future surges in respiratory illness in terms of learning, training and development. This article describes the programme’s aim, method and findings, and the main recommendations for practice. [ABSTRACT FROM AUTHOR]

Contemporary technoscience is rife with hype—inflated claims that rapidly propagate in favor of the next "new thing." While scholars often strive to debunk and dispel hype, Tanzanian technologists working in health care face a different challenge: navigating hype. As these technologists embark on new projects in machine learning and other forms of AI, contending with hype becomes crucial. These actors operate on the margins of global technoscientific worlds, aiming to create novel African futures that promote technological sovereignty. To do so, they must grapple with hype and its political economy. For anthropologists, merely transforming these technologists' experiences into an ethnographic object won't teach us much; a much more illuminating task is to examine how their work can provoke us to refine and transform our own knowledge practices. This is especially important because their innovations can seem both inspiring and dispiriting, both entrenched in and opposed to the troublesome technological global order. [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]

Background: Insomnia is a prevalent condition in Australia that increases the risk of depression and anxiety symptoms. Cognitive behaviour therapy for insomnia (CBT‐i) is the recommended 'first line' treatment but is accessed by a minority of people with insomnia. Aims: To improve CBT‐i access in Australia, we aimed to develop and test a self‐guided interactive digital CBT‐i program. Methods: An online randomised controlled trial was conducted from August 2022 to August 2023 to investigate the effect of digital CBT‐i, versus digital sleep education control, on symptoms of insomnia (ISI), depression (PHQ‐9), anxiety (GAD‐7), fatigue, sleepiness and maladaptive beliefs about sleep at 8‐week follow‐up. The control group accessed the intervention after the 8‐week follow‐up. Questionnaires were additionally administered at 16 and 24 weeks. Intent‐to‐treat mixed models and complete‐case chi‐squared analyses were used. Results: Participants included 62 adults with insomnia symptoms (age M (SD) = 52.5 (16.3), 82% female, ISI = 18.6 (2.9)). There were no between‐group differences in baseline characteristics or missing 8‐week data (14.5%). After adjusting for baseline scores, CBT‐i was associated with lower insomnia (Diffadj (95% CI) = 7.32 (5.0–9.6), P < 0.001, d = 1.64), depression (3.36 (1.3–5.4), p = 0.002, d = 0.84), fatigue (5.2 (2.5–7.9), P < 0.001, d = 1.00) and maladaptive beliefs about sleep (11.0 (4.1–18.0), P = 0.002, d = 0.82), but not anxiety symptoms at 8 weeks (1.84 (−0.1 to 3.8), p = 0.060, d = 0.50). Compared to control, CBT‐i was associated with greater rates of insomnia remission (ISI <8; 0.0%, vs 40.0%, P < 0.001) and response at 8 weeks (ISI reduction ≥6; 7.1% vs 72.0%, P < 0.001). Improvements in insomnia and depression were maintained at 24 weeks in the CBT‐i group. Conclusions: This interactive digital CBT‐i program resulted in large and sustained improvements in symptoms of insomnia, depression, fatigue and maladaptive beliefs about sleep in Australian adults with insomnia symptoms. Implementation programs are required to increase digital CBT‐i access and uptake. [ABSTRACT FROM AUTHOR]

Background: The uptake of traditional mental health services among older adults remains low. Digital peer support offers older adults a resource for engaging with others to independently support their mental well‐being. This qualitative study explored the uptake and engagement of a clinically moderated digital peer support platform (Breathing Space) for older adults with depressive symptoms and alcohol use concerns. Methods: Semi‐structured interviews with 30 participants aged 60–80 years explored participants' uptake and engagement with Breathing Space, a novel, moderated, private, and anonymous peer support platform. Data were analysed using reflective thematic analysis and are discussed with reference to the Unified Theory of Acceptance and Use of Technology2. Results: Three themes were constructed to characterize participants' experiences: (i) navigating the complexities of peer‐peer online engagement; (ii) the function of anonymity in online connection; and (iii) experiences of app features and content. Conclusions: Future development of digital peer support for older adults would benefit from the following: (i) co‐design with older adults; (ii) providing choice over anonymity and increased options for interacting with peers; (iii) streamlining the basic functionality with popular platforms; (iv) providing options for users to curate their digital experience; and (v) providing telephone support for troubleshooting technical difficulties. Future research should explore the use of digital peer support among older adults who experience social exclusion challenges. [ABSTRACT FROM AUTHOR]

Background: Mild traumatic brain injury (mTBI) is becoming a more common emergency department (ED) presentation. Towards this end, many types of testing in the acute setting are being investigated. One of these is screening for convergence insufficiency (CI) symptoms. These are common problems reported by patients with mTBI, but such oculomotor testing is rarely performed in the ED. Objective: To assess the feasibility of convergence insufficiency screening in the ED and investigate whether CI is associated with adverse events such as post-concussive symptoms or hospital admission. Methods: Written informed consent was obtained from patients age 18 years or older who experienced a mild head injury from any mechanism resulting in an mTBI. Patients underwent screening for CI symptoms using a standardized instrument of 15 questions, known as the convergence insufficiency symptom survey (CISS), with responses based on the Likert scale. These data were correlated to outcomes of hospital admission, occurrence of post-concussive symptoms, and 30-day hospital re-admission. Results: A total of 116 patients were prospectively enrolled, of which 58 were male. The median age was 31 years, with a range of 18 to 95 years of age. The median CISS score was 13, with an interquartile range (IQR) of 6 to 21 and an overall range of 0 to 53. Females presented with a median CISS score of 14, which was higher compared to the male median score of 10. The higher the CISS score, the more likely the patient was to be admitted to the hospital (p = 0.0378), develop symptoms of post-concussive syndrome at 30-day follow up (p = 0.0322), and be readmitted within 30 days (p = 0.0098). Conclusions: Screening for CI symptoms using the CISS can be a solid adjunct in the evaluation of mTBI in the ED. The CISS is easy and fast to administer, and it is a useful tool to stratify patients in terms of who is at the highest risk of developing complications related to the mTBI. [ABSTRACT FROM AUTHOR]

Background/Aims: Feedback plays a pivotal role in learning, but traditional written feedback often lack engagement and specificity, hindering learners' ability to effectively apply feedback. In midwifery education, the need for innovative feedback delivery mechanisms is pronounced. The aim of this study was to evaluate the integration of digital health technologies in feedback delivery in a midwifery programme. Methods: A novel communication strategy was implemented in a midwifery programme in northwest England, where the benefits, challenges and future implications of leveraging digital health technologies for assessment feedback were assessed. Results: Preferences were mixed, with 45.1% of learners favouring written feedback. Verbal feedback was perceived as more personal and motivating, and valued for its nuance, tone and ability to clarify complex points, although written feedback provided clearer, detailed information for future reference. Less experienced markers struggled with verbal feedback, while more experienced markers appreciated the quicker, more refreshing process. All markers found feedback templates helpful for ensuring equitable feedback. Conclusions: This study scrutinised the significance of rethinking feedback delivery in midwifery education and indicates that digital health technologies present promising opportunities for reshaping the feedback landscape. Implications for practice: Developing student confidence and competence in digital literacy remains a significant challenge. Higher education institutions can collaborate with healthcare providers to offer training in digital health technologies, helping midwives adapt to modern clinical environments. [ABSTRACT FROM AUTHOR]

Objectives: To evaluate a co-designed intervention using digital resources "Vietnam Cancer Caring Coping" (V-CCC) on the health literacy, depression, and quality of life of caregivers supporting a cancer patient in oncology hospitals in Vietnam. Methods: A pre-post quantitative evaluation with adult cancer caregivers across regional Oncology hospitals in Vietnam (Ho Chi Minh City, Da Nang, Can Tho, and Hue). Participants completed baseline and follow-up measures of health literacy (HLS-SF12) depression (PHQ-9) and Health-related Quality of Life (5Q-5D-5L). Participants accessed and reviewed V-CCC for a 2-week period. Results: Two hundred and thirty-four caregivers completed pre and post-tests. Most participants were female (n = 143, 61%), married (n = 165, 70%), aged 18–44 (n = 155, 66%), lived rurally (n = 157, 67%). All health literacy scores of participants in post-intervention were significantly higher than that in pre-intervention across all domain's healthcare, disease prevention, and health promotion as well as the total score (p < 0.001). A significant reduction in the proportion of caregivers reporting PHQ-9 moderately severe/severe depression post-intervention was demonstrated (10.2 vs. 6.1%, respectively (p ≤ 0.001). No significant differences were observed pre and post-intervention across four 5Q-5D-5L health dimensions: mobility, self-care, usual activities, and pain/discomfort. Regarding anxiety/depression as measured by 5Q-5D-5L the proportion of participants who reported having moderate, severe, and extreme problems in pre- and post-intervention was statistically significant (32 vs. 24%), respectively (p = 0.0028). Conclusion: Co-designed digital resources can reduce health literacy inequities and improve psychological outcomes for cancer caregivers. [ABSTRACT FROM AUTHOR]

Little research is available to provide practical guidance to health care providers for exercise preparticipation screening and referral of patients with interstitial lung diseases (ILDs), including lymphangioleiomyomatosis (LAM), to participate in remote, unsupervised exercise programs. What exercise preparticipation screening steps are essential to determine whether a patient with LAM is medically appropriate to participate in a remote, unsupervised exercise program? Sixteen experts in LAM and ILD participated in a two-round modified Delphi study, ranking their level of agreement for 10 statements related to unsupervised exercise training in LAM, with an a priori definition of consensus. Additionally, 60 patients with LAM completed a survey of the perceived risks and benefits of remote exercise training in LAM. Seven of the 10 statements reached consensus among experts. Experts agreed that an in-person clinical exercise test is indicated to screen for exercise-induced hypoxemia and prescribe supplemental oxygen therapy as indicated prior to initiating a remote exercise program. Patients with recent pneumothorax should wait to start an exercise program for at least 4 weeks until after resolution of pneumothorax and clearance by a physician. Patients with high cardiovascular risk for event during exercise, severe resting pulmonary hypertension, or risk for falls may be more appropriate for referral to a rehabilitation center. A LAM-specific remote exercise preparticipation screening tool was developed from the consensus statements and agreed upon by the panelists. A modified Delphi study approach was useful to develop disease-specific recommendations for safety and preparticipation screening prior to unsupervised, remotely administered exercise in LAM. The primary product of this study is a clinical decision aid for providers to use when medically screening patients prior to participation in the newly launched LAM Fit remote exercise program. [ABSTRACT FROM AUTHOR]