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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.

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.

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]

The editorial discusses the ValueCare project, which aims to improve health and social care for aging communities by incorporating communication perspectives and Information and Communication Technologies (ICTs). The project focuses on integrated care, value-based approaches, digital solutions, and patient involvement to support older people's self-healthcare management in seven European pilot sites. Communication plays a crucial role in coordinating collaboration among different units, facilitating shared decision-making, and designing digital solutions. The project emphasizes the importance of intercultural communication and international collaborations to address public health challenges associated with population aging. [Extracted from the article]

Background: Digital self-management tools including mobile apps and wearables can enhance personalized care in Parkinson's disease, and incorporating patient and clinician feedback into their evaluation can empower users and nurture patient-clinician relationships, necessitating a review to assess the state of the art and refine their use. Objective: This review aimed to summarize the state of the art of self-management systems used in Parkinson's disease management, detailing the application of self-management techniques and the integration of clinicians. It also aimed to provide a concise synthesis on the acceptance and usability of these systems from the clinicians' standpoint, reflecting both patient engagement and clinician experience. Methods: The review was organized following the PRISMA extension for Scoping Reviews and PICOS frameworks. Studies were retrieved from PubMed, CINAHL, Scopus, ACM Digital Library, and IEEE Xplore. Data was collected using a predefined form and then analyzed descriptively. Results: Of the 15,231 studies retrieved, 33 were included. Five technology types were identified, with systems combining technologies being the most evaluated. Common self-management strategies included educational material and symptom journals. Only 11 studies gathered data from clinicians or reported evidence of clinician integration; out of those, six studies point out the importance of raw data availability, data visualization, and integrated data summaries. Conclusions: While self-management systems for Parkinson's disease are well-received by patients, the studies underscore the urgency for more research into their usability for clinicians and integration into daily medical workflows to enhance overall care quality. Plain Language Summary: Digital tools, such as smartphone applications and wearable devices, could help people with Parkinson's disease manage their symptoms by using data and technology to provide support that is personalized to them and by supporting communication between patients and healthcare providers. This review studies current literature on these digital self-management systems for people with Parkinson's disease. Of the 33 studies included in our review, we found that many of these systems combine different types of digital technologies (for example, a mobile app and a wearable sensor). The most common strategies to help support patients with self-management included in these digital tools were providing educational health content and symptom diaries. Only a few studies have considered healthcare providers' perspectives on these systems. Those that did highlighted a need for better access to patient data, improved data presentation, and summaries of key health insights. While patients find digital self-management tools favorable, further research is needed to ensure they meet healthcare providers' professional needs and can fit easily into daily clinical routines, ultimately improving care for individuals with Parkinson's disease. [ABSTRACT FROM AUTHOR]

Policy makers and health professionals are grappling with the high costs of and demand for health care, questions of sustainability and value, and changing population demographics—in particular, ageing populations. Digital solutions, including the adoption of patient‐reported measures, are considered critical in achieving person‐centred and value‐based health care. However, the utility of patient‐reported measures and the data they produce may be subject to ageist beliefs, prejudices and attitudes, rendering these data ineffective at promoting improved patient experiences and outcomes for older adults. This article explores the ethical considerations raised in relation to patient‐reported measures and the digital agency of older patients. [ABSTRACT FROM AUTHOR]

Aim: To qualitatively explore the experiences of individuals with Gestational Diabetes Mellitus (GDM) in Australia, and to recognise opportunities for leveraging digital health to enhance the support of GDM management. Method: A cross sectional online survey assessed the experiences of individuals with GDM, the healthcare system and their digital health usage. Respondents (recruited via a national diabetes registry or social media) were adults receiving GDM care within Australia in the last 5 years, who responded to any of three open‐ended questions (n = 815) exploring positive, negative and other GDM experiences. Thematic analysis was utilised, and themes were mapped to the socio‐ecological systems framework. Results: At a system level, themes related to (1) accessibility of care including the value of digital health and the inflexible or inconsistent perception of the (2) implementation of guidelines. At an interpersonal level, themes covered the need for adequate (3) health information provision, and (4) supportive care, as well as highlighting (5) experiences of stigma including a desire for greater awareness of GDM. Individual‐level themes included: (6) differential barriers to accessing care; (7) negative emotional burden; (8) internalisation of stigma; (9) dietary freedom and social impact and (10) opportunity for change derived from having GDM. Conclusion: Findings suggest a demand for more supportive, person‐centred GDM care, improved information provision and individualised implementation of clinical guidelines. Such mechanisms may support reduced barriers to accessing care or negative psychosocial impacts of GDM. Though not central to the identified experiences, digital health tools may help address the need for optimised GDM care. [ABSTRACT FROM AUTHOR]

Background: Mindfulness‐based interventions can improve psychological health; yet the mechanisms of change are underexplored. This pre‐registered remote RCT evaluated a freely accessible digital mindfulness programme aiming to improve well‐being, mental health and sleep quality. Health behaviour cognitions were explored as possible mediators. Methods: Participants from 91 countries (N = 1247, Mage = 27.03 [9.04]) were randomized to 30 days of mindfulness practice or attention‐matched control condition. Measures of well‐being, depression, anxiety, stress, sleep quality, barriers self‐efficacy, self‐regulation and behavioural predictors (e.g., attitudes and behavioural intentions) were taken at baseline, 1‐month (post‐intervention) and 2‐months (follow‐up). Linear regression examined intervention effects between and within groups. Longitudinal mediation analyses explored indirect effects through health behaviour cognitions. Results: Three hundred participants completed post‐intervention measures. Those receiving mindfulness training reported significantly better well‐being (Mdifference = 2.34, 95%CIs.45–4.24, p =.016), lower depression (Mdifference = −1.47, 95%CIs −2.38 to −.56, p =.002) and anxiety symptoms (Mdifference = −.77, 95%CIs −1.51 to −.02, p =.045) than controls. Improvements in well‐being and depression were maintained at follow‐up. Intervention effects on primary outcomes were mediated by attitudes towards health maintenance and behavioural intentions. Mediating effects of attitudes remained when controlling for prior scores in models of depression and well‐being. Conclusions: Digital, self‐administered mindfulness practice for 30 days meaningfully improved psychological health, at least partially due to improved attitudes towards health behaviours and stronger behavioural intentions. This trial found that digital mindfulness is a promising and scalable well‐being tool for the general population, and highlighted its role in supporting health behaviours. [ABSTRACT FROM AUTHOR]

Objectives: Digital health behaviour change interventions may be adapted from in‐person interventions, without appropriate consideration of how the digital context might differ. Drawing on the wider literature on behaviour change intervention development, this research aims to explore the digital adaptation process of health behaviour change interventions and the specific considerations for digital modes of delivery. Design: A qualitative interview study. Methods: Interviews with 15 intervention developers/facilitators were analysed using inductive thematic analysis. Results: Findings highlight a continuum of digitalization, where variation in technology available and human support influences considerations for digital adaptation. 'What vs how: "trying to do the impossible"' describes the balance between retaining the intervention's active ingredients while modifying for digital delivery. Through 'Trial and error', participants described an iterative process based on experience of delivery. 'Creating connection and engagement' emphasizes the importance of social support and the challenges of replicating this. Conclusions: Several considerations for digital adaptations are proposed including the involvement of end‐users (facilitators and recipients) during adaptation, the need to understand the original intervention and new context for use, and the different motivational needs of digital intervention recipients. [ABSTRACT FROM AUTHOR]

This Year in Review presents key highlights from recent research relating to osteoarthritis rehabilitation and its outcomes, defined as any non-pharmacological and non-surgical treatment that aims to improve osteoarthritis symptoms at any joint. Three databases (Medline, Embase, and CINAHL Plus) were searched between 1 March 2023 to 12 March 2024. Relevant studies were chosen based on the predefined inclusion/exclusion criteria, perceived clinical importance, quality, controversy in the field, or personal interest, and organised into four overarching themes (with 1–5 sub-themes each). The first theme related to uncertainties regarding exercise benefits. New work has challenged the clinical effectiveness of exercise on symptoms, as well as highlighted uncertainty around our understanding of both mechanisms of effects, how to enhance effectiveness and adherence, and which subgroups of people are more or less likely to improve with exercise. However, we also highlight new work confirming the role of exercise as a first-line management strategy. The second theme related to digital modes of service delivery. There was new evidence to support its effectiveness in improving symptoms and clear potential for creating and evaluating new mobile apps. New work also highlighted the potential future role artificial intelligence can have in providing treatment information and recommendations. The third theme related to patient education, and the call for change to the impairment-based narrative that prevails in osteoarthritis information. The fourth theme is related to weight loss. New work compared the effectiveness of different weight loss diets and explored alternative models of weight loss delivery. [ABSTRACT FROM AUTHOR]

Wearable devices provide the ability for clinical teams to continuously monitor patients' rehabilitation progress with objective data. Understanding expected recovery patterns following total knee arthroplasty (TKA) enables prompt identification of patients failing to meet these milestones. The aim of this study was to establish normative values for daily functional recovery in the first 6 weeks after TKA using a wearable device. This prospective study included patients who underwent TKA between 2020 and 2023, treated by 11 surgeons from 8 institutions. Eligible participants were aged 18 or older, had a primary unilateral TKA, and owned a smartphone. Knee range of motion, total daily steps, cadence, and device usage were measured continuously over 6 weeks. Statistical analysis included analysis of variance using post hoc Tukey honest significant difference tests. The cohort of 566 participants had a mean age of 65 and 69 for men and women, respectively (range, 50 to 80). Women comprised 61% (n = 345) of study participants. There were 82% of women and 90% of men who had a body mass index > 30. The average daily wear time of the device was 12 hours (±4) for a total of 45 days (±27). Recovery was nonlinear, with the greatest gains in the first 3 weeks postsurgery for all metrics. Men demonstrated greater total daily step counts and cadence when compared to women. Obese patients demonstrated poorer performance when compared to lower body mass index patients. To our knowledge, this study presents the first normative data for tracking daily functional recovery in TKA patients using wearable sensors. Standardizing the TKA recovery timeline allows surgeons to isolate factors affecting patients' healing processes, accurately counsel them preoperatively, and intervene more promptly postoperatively when rehabilitation is not within standard recovery parameters. [ABSTRACT FROM AUTHOR]

The aim of our article is to explore the interactive dynamics ensuing a digital implementation initiative whilst critiquing the nature and process of digital transformation. We analysed the data emerging out of 59 semi-structured interviews and 90 hours of non-participant observation in order to contextualise our investigation within the healthcare setting which in our case was a large hospital undergoing one of the biggest single-site implementation of digital health technology in Europe at its time. Our empirics is aided by ethnographic techniques and Gioia's methodology has resulted in a grounded model which has implications for both scholars and practitioners. Through discussion with the end-users within the organisation, the findings highlight three processual landmarks which have been theorised using Erving Goffman's conceptualisation of 'framing'. In our study these have been referred to as intrinsic, frictional, and transitional frames, depicting the cognitive progression of end-users when interacting with digital artefacts as well as negotiating the institutional complexity. The three dynamic frames exhibit stage-specific occurrences and offer a complete abstract of a very large and difficult digital implementation project. Theoretically, our study offers a basis for scholars to conceptualise the processual nature of digital transformation through the lens of framing. Interactive dynamics remain underrated or largely ignored when it comes to implementation of such large projects, but we make it salient through the three empirically derived socio-cognitive frames. These frames in our view serves as a practical toolkit for practitioners in any setting visualising the implementation of a digital transformation project. [ABSTRACT FROM AUTHOR]

The clinical and economic impact of heart failure (HF) is immense and will continue to rise due to the increasing prevalence of the disease. Despite the availability of guideline-recommended medications that improve mortality, reduce hospitalizations, and enhance quality of life, there are major gaps in the implementation of such care. Quality improvement interventions have generally focused on clinicians. While certain interventions have had modest success in improving the use of heart failure medications, they remain insufficient in optimizing HF care. Here, we discuss how patient-facing interventions can add value and supplement clinician-centered interventions. We discuss how digital health can be leveraged to create patient activation tools that create a larger, sustainable impact. Small studies have suggested the promise of digital tools for patient engagement and self-care, but there are also important barriers to the adoption of such interventions that we describe. We share key principles and strategies around the design and implementation of digital health innovations to maximize patient participation and engagement. By uniquely activating patients in their own care, digital health can unlock the full potential of both existing and new quality improvement initiatives to drive forward high-quality and equitable heart failure care. [ABSTRACT FROM AUTHOR]

Purpose: The European funded project ADLIFE focuses on the application of digitally enabled integrated care for people with advanced chronic diseases. The implementation of the ADLIFE intervention required a robust practical tool that would be common to all pilot sites while allowing flexibility for local variations as well as the ability to adapt to unanticipated changes and problems. Design/methodology/approach: The ADLIFE project combined the concepts of implementation research and formative evaluation with the standardized operating procedures (SOP) methodology. The ADLIFE project significantly modified the SOP approach and used it as a means to not only to define and organize the tasks that needed to be performed in preparing and implementing the ADLIFE intervention but also to create a deeper understanding of the unique challenges faced in each site, as well as a method for achieving a consensus. Findings: The ADLIFE SOPs were developed by a dedicated working group, and they encompassed the preparatory phase leading up to implementation of the intervention. The SOP was also the basis for monitoring the implementation, and this created a structure for the dynamic ongoing tactical and even strategic changes necessitated by local diversity as well as many unanticipated changes. Originality/value: The SOP methodology was useful in supporting the development of the ADLIFE SOP, which was a consensus-based approach to guide for managing the implementation process, both at project and local levels. It has supported continuous improvement and learning throughout the project. Both the process and the SOP produced by the process can be readily adapted and used in other similar projects. [ABSTRACT FROM AUTHOR]

Purpose: Coronavirus disease (COVID-19) has challenged leadership in hospitals worldwide. The experiences of leadership during the pandemic changed leadership significantly. This study aims to describe nurse leaders' perceptions of what future leadership in hospital settings in the post-pandemic era needs to be like. Design/methodology/approach: A qualitative descriptive study was used. A total of 20 nurse leaders from the Finnish central hospital were interviewed from June to October 2021. The data were analysed using inductive content analysis. Findings: The analysis revealed five main categories describing nurse leaders' perceptions of future leadership in hospital settings in the post-pandemic era: digitalisation and hybrid working culture, development of sustainable working conditions, moving smoothly to the post-pandemic era, dissolution of traditional regimes of organisation and flexibility in leadership. Practical implications: In the post-pandemic era, the constantly changing demands and challenges currently facing healthcare systems have significantly increased the complexity of hospital organisations. This requires critical evaluation and change to traditional leadership. Enhancing flexibility and authenticity in leadership, strengthening competencies, implementing a wide range of digital resources and increasing the appeal of the nursing profession to build the next generation of nurses – all of these are needed to provide sustainability in future healthcare. Originality/value: The results identify the critical points of leadership that need to be developed for future challenges and for maintaining a sufficient supply of qualified professionals. Acting on this information will enhance flexibility in organisations and lead to acceleration of changes and the development of new kinds of leadership in the future [ABSTRACT FROM AUTHOR]

AbstractSustaining telehealth uptake hinges on people’s desire and ability to effectively engage with it. We explored trust and confidence in telehealth delivered by medical and allied health using cross-sectional survey of 1,116 Australians. Descriptive analysis presented factors that would improve trust and confidence in telehealth cross-tabulated with video consultation experience. Inferential statistics compared levels of trust in medical and allied health telehealth with user-related variables. Trust in medical telehealth was higher than in allied health, but practice with video calls, experience with high-quality telehealth, and good internet were associated with greater levels of trust in both groups. Telehealth with a known health professional and no additional costs were top-ranked factors to improve trust and confidence. Participants confident in troubleshooting trusted telehealth more. This first cross-sectional study on trust and confidence in telehealth suggests that digital upskilling and promoting quality video consultations can potentially enhance telehealth adoption. [ABSTRACT FROM AUTHOR]

Background: Worldwide, mild traumatic brain injury, synonymous with concussion, affects more than 30–50 million each year. The incidence of concussion in Denmark is estimated to be about 20,000 yearly. Although complete resolution normally occurs within a few weeks, up to a third develop persistent post-concussion symptoms (PPCS) beyond 3 months. Evidence for effective treatment strategies is scarce. The objective of this study is to evaluate the efficacy of the novel intervention GAIN Lite added to enhanced usual care (EUC) for adults with mild-to-moderate PPCS compared to EUC only. Methods: An open-label, parallel-group, two-arm randomised controlled superiority trial (RCT) with 1:1 allocation ratio. Potential participants will be identified through the hospital's Business Intelligence portal of the Central Denmark Region or referred by general practitioners within 2–4 months post-concussion. Participants with mild-to-moderate PPCS will be randomly assigned to either (1) EUC or (2) GAIN Lite added to EUC. GAIN Lite is characterised as a complex intervention and has been developed, feasibility-tested and process evaluated before effect evaluation in the RCT. GAIN Lite contains an initial remote interview, self-administrated e-learning videos and voluntary remote counselling with an allocated occupational- or physiotherapist. Sixty-six participants will be recruited to each group. Primary outcomes are mean changes in PPCS and limitations in daily life from baseline to 24 weeks after baseline. Discussion: GAIN Lite is a low-intensity intervention for adults with mild-to-moderate PPCS. Offering a remote intervention may improve access to rehabilitation and prevent chronification for individuals with mild-to-moderate PPCS. Moreover, GAIN Lite will facilitate access to healthcare, especially for those with transportation barriers. Overall, GAIN Lite may provide an accessible, flexible and convenient way to receive treatment based on sound theories and previous evidence of effective interventions for adults with mild-to-moderate PPCS. Trial registration: ClinicalTrials.gov NCT05233475. Registered on February 10, 2022. [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]

Background: Telemedicine holds immense potential to revolutionise healthcare delivery, particularly in resource-limited settings and for patients with chronic diseases. Despite proven benefits and policy reforms, the use of telemedicine remains low due to several patient, technology, and system-level barriers. Assisted telemedicine employs trained health professionals to connect patients with physicians, which can improve access and scope of telemedicine. The study aims to describe the design, service utilisation and chronic disease outcomes following the implementation of an assisted telemedicine initiative. Methods: This is an observational implementation study. Barriers and potential solutions to the implementation of telemedicine were identified through interviews with key stakeholders. The assisted telemedicine solution using an interoperable platform integrating electronic health records, point-of-care diagnostics, and electronic clinical decision support systems was designed and piloted at three telemedicine clinics in Tamil Nadu, India. Nurses were trained in platform use and facilitation of tele-consultations. Health records of all patients from March 2021 to June 2023 were included in the analysis. Data were analysed to assess the utilisation of clinic services and improvements in health outcomes in patients with diabetes mellitus and hypertension. Results: Over 2.4 years, 11,388 patients with a mean age of 45 (± 20) years and median age of 48 years, predominantly female (59.3%), accessed the clinics. The team completed 15,437 lab investigations and 26,998 consultations. Among 5542 (48.6%) patients that reported chronic conditions, diabetes mellitus (61%) and hypertension (45%) were the most frequent. In patients with diabetes mellitus and hypertension, 43% and 75.3% were newly diagnosed, respectively. Diabetes mellitus and hypertension patients had significant reductions in fasting blood sugar (-33.0 mg/dL (95% CI (-42.4, -23.7, P < 0.001)), and systolic (-9.6 mmHg (95% CI (-12.1, -7.0), P < 0.0001)) and diastolic blood pressure (-5.5 mmHg (95% CI (-7.0, -4.08), P < 0.0001)) at nine months from first visit, respectively. Conclusions: The 'Digisahayam' model demonstrated feasibility in enhancing healthcare accessibility and quality by bridging healthcare gaps, diagnosing chronic conditions, and improving patient outcomes. The model presents a scalable and sustainable approach to revolutionising patient care and achieving digital health equity, with the potential for adaptation in similar settings worldwide. [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]

Purpose Methods Findings Conclusions Implications for nursing practice This study describes the design, integration, and semantic interoperability process of a minimum data set using standardized nursing language in the caring module of the TEC‐MED care platform.The caring module was developed in three phases (2020–2022): platform concept, functional design and construction, and testing and evaluation. Phases involved collaboration among academics, information technology developers, and social/healthcare professionals. Nursing taxonomies (NANDA‐I, NOC, NIC) were integrated to support the nursing process. The platform was piloted in six Mediterranean countries.The final platform features an assessment module with eight dimensions for data collection on older adults and their caregivers. A clinical decision support system links assessment data with nursing diagnoses, outcomes, and interventions. The platform is available in six languages (English, Spanish, French, Italian, Greek, and Arabic). Usability testing identified the need for improved Arabic language support.The TEC‐MED platform is a pioneering tool using standardized nursing language to improve care for older adults in the Mediterranean. The platform's multilingualism promotes accessibility. Limitations include offline use and mobile app functionality. Pilot testing is underway to evaluate effectiveness and facilitate cross‐cultural validation of nursing taxonomies.The TEC‐MED platform offers standardized nursing care for older adults across the Mediterranean, promoting consistent communication and evidence‐based practice. This approach has the potential to improve care quality and accessibility for a vulnerable population. [ABSTRACT FROM AUTHOR]

Introduction: Remote monitoring can strengthen postoperative care in the community and minimise the burden of complications. However, implementation requires a clear understanding of how to sustainably integrate such complex interventions into existing care pathways. This study aimed to explore perceptions of potential facilitators and barriers to the implementation of digital remote postoperative monitoring from key stakeholders and derive recommendations for an implementable service. Methods: A qualitative implementation study was conducted of digital remote postoperative wound monitoring across two UK tertiary care hospitals. All enrolled patients undergoing general surgery, and all staff involved in postoperative care were eligible. Criterion-based purposeful sampling was used to select stakeholders for semi-structured interviews on their perspectives and experiences of digital remote postoperative monitoring. A theory-informed deductive-inductive qualitative analysis was conducted; drawing on normalisation process theory (NPT) to determine facilitators for and barriers to implementation within routine care. Results: There were 28 semi-structured interviews conducted with patients (n = 14) and healthcare professionals (n = 14). Remote postoperative monitoring was perceived to fulfil an unmet need in facilitating the diagnosis and treatment of postoperative complications. Participants perceived clear benefit to both the delivery of health services, and patient outcomes and experience, but some were concerned that this may not be equally shared due to potential issues with accessibility. The COVID-19 pandemic demonstrated telemedicine services are feasible to deliver and acceptable to participants, with examples of nurse-led remote postoperative monitoring currently supported within local care pathways. However, there was a discrepancy between patients' expectations regarding digital health to provide more personalised care, and the capacity of healthcare staff to deliver on these. Without further investment into IT infrastructure and allocation of staff, healthcare staff felt remote postoperative monitoring should be prioritised only for patients at the highest risk of complications. Conclusion: The COVID-19 pandemic has sparked the digital transformation of international health systems, yet the potential of digital health interventions has yet to be realised. The benefits to stakeholders are clear, and if health systems seek to meet governmental policy and patient expectations, there needs to be greater organisational strategy and investment to ensure appropriate deployment and adoption into routine care. Trial registration: NCT05069103. [ABSTRACT FROM AUTHOR]

Introduction: In spite of rapid advances in evidence-based treatments for attention deficit hyperactivity disorder (ADHD), community access to rigorous gold-standard diagnostic assessments has lagged far behind due to barriers such as the costs and limited availability of comprehensive diagnostic evaluations. Digital assessment of attention and behavior has the potential to lead to scalable approaches that could be used to screen large numbers of children and/or increase access to highquality, scalable diagnostic evaluations, especially if designed using user-centered participatory and ability-based frameworks. Current research on assessment has begun to take a user-centered approach by actively involving participants to ensure the development of assessments that meet the needs of users (e.g., clinicians, teachers, patients). Methods: The objective of this mapping review was to identify and categorize digital mental health assessments designed to aid in the initial diagnosis of ADHD as well as ongoing monitoring of symptoms following diagnosis. Results: Results suggested that the assessment tools currently described in the literature target both cognition and motor behaviors. These assessments were conducted using a variety of technological platforms, including telemedicine, wearables/sensors, the web, virtual reality, serious games, robots, and computer applications/software. Discussion: Although it is evident that there is growing interest in the design of digital assessment tools, research involving tools with the potential for widespread deployment is still in the early stages of development. As these and other tools are developed and evaluated, it is critical that researchers engage patients and key stakeholders early in the design process. [ABSTRACT FROM AUTHOR]

Background: Patient-targeted Googling (PTG) is an unavoidable aspect of the internet era, offering both opportunities and risks. However, no PTG studies have been conducted in Asian contexts to date. Additionally, existing research has provided limited exploration of factors influencing PTG practices, particularly regarding the professional differences between psychiatrists and psychologists. This study seeks to address these research gaps. Method: A total of 943 licensed psychiatrists and psychologists working in China completed an online survey. The survey included their attitudes towards PTG (including general attitude, application situations, reasons for/against PTG) and their actual practice of PTG. Results: 250(26.5%) respondents reported using PTG. Among them, 151(60.4%) respondents sought consent from clients before use, and 142(56.8%) respondents discussed search results with clients after use. Chinese psychiatrists and psychologists have contradictory attitudes, with concerns but also recognition of its possible positive effects, and expressing a need for more guidance. Compared to psychiatrists or those working in public institutions, psychologists and those working in private institutions report greater concerns about PTG but engage in it more frequently. Conclusions: Although the sample is limited, the study reveals notable differences in attitudes and practice of PTG among Chinese psychiatrists and psychologists, which may be related to their distinct professional roles and workplace environments. These findings suggest the need for further research to better understand the underlying factors contributing to these differences. Moreover, the results highlight the importance of developing tailored ethical guidelines and targeted training programs to address PTG practices for psychiatrists and psychologists in China. [ABSTRACT FROM AUTHOR]

Background: Innovative algorithms for wearable devices and garments are critical for diagnosing and monitoring disease (such as lateral epicondylitis (LE)) progression. LE affects individuals across various professions and causes daily problems. Methods: We analyzed signals from the forearm muscles of 14 healthy controls and 14 LE patients using high-density surface electromyography. We discerned significant differences between groups by employing phase–amplitude coupling (PAC) features. Our study leveraged PAC, Daubechies wavelet with four vanishing moments (db4), and state-of-the-art techniques to train a neural network for the subject's label prediction. Results: Remarkably, PAC features achieved 100% specificity and sensitivity in predicting unseen subjects, while state-of-the-art features lagged with only 35.71% sensitivity and 28.57% specificity, and db4 with 78.57% sensitivity and 85.71 specificity. PAC significantly outperformed the state-of-the-art features (adj. p-value < 0.001) with a large effect size. However, no significant difference was found between PAC and db4 (adj. p-value = 0.147). Also, the Jeffries–Matusita (JM) distance of the PAC was significantly higher than other features (adj. p-value < 0.001), with a large effect size, suggesting PAC features as robust predictors of neuromuscular diseases, offering a profound understanding of disease pathology and new avenues for interpretation. We evaluated the generalization ability of the PAC model using 99.9% confidence intervals and Bayesian credible intervals to quantify prediction uncertainty across subjects. Both methods demonstrated high reliability, with an expected accuracy of 89% in larger, more diverse populations. Conclusions: This study's implications might extend beyond LE, paving the way for enhanced diagnostic tools and deeper insights into the complexities of neuromuscular disorders. [ABSTRACT FROM AUTHOR]

Background: Anxiety disorders are among the most prevalent mental health concerns affecting children and adolescents. Despite their high prevalence, statistics indicate that fewer than 25% of individuals in this demographic seek professional assistance for their condition. Consequently, there is a pressing need to develop innovative interventions aimed at improving treatment accessibility. Objectives: This study aims to assess the effectiveness of Internet-delivered Cognitive Behavioral Therapy (iCBT) for adolescents with anxiety, with a specific emphasis on involving parents in the treatment process. Methods: The study is structured as a parallel three-armed randomized controlled trial, comparing Internet-delivered Cognitive Behavioral Therapy (iCBT) with planned feedback, iCBT with on-demand feedback, and a waitlist control group, each group including 56 participants. Participants in the two iCBT conditions will undergo a 14-week treatment regimen, while those in the waitlist control group will wait for 14 weeks before starting iCBT with planned feedback. Additionally, participants in the iCBT groups will be randomly assigned to receive a booster session or not. The study design is factorial including two factors: type of therapist feedback (factor 1) and booster or no booster (factor 2). The study population comprises adolescents aged between 12 and 17 years, residing in Denmark, diagnosed with an anxiety disorder according to DSM-5 criteria. The primary outcome measures are the Youth Online Diagnostic Assessment and the Spence Children's Anxiety Scale. Assessments will occur at baseline, post-treatment, and at 3-, 6-, and 12-month follow-ups post-treatment. Discussion: The findings of this study are anticipated to contribute to improving the accessibility of evidence-based treatments for adolescents with anxiety. Trial registration: The study is registered at clinicalTrials.gov, under protocol ID 22/59602. The Initial release was the 16.10.2023, first posted due to technical problems 16.04.2024. https://clinicaltrials.gov/study/NCT06368557?locStr=Odense,%20Denmark&country=Denmark&city=Odense&page=2&rank=13. [ABSTRACT FROM AUTHOR]

The COVID-19 pandemic has challenged mental health professionals in many unexpected ways. Research completed in the years following the pandemic suggests that individuals around the globe have experienced significant mental health difficulties since the start of the pandemic, including posttraumatic stress disorder (PTSD) and complicated grief. Much of this research has examined the general population or medical personnel specifically and has neglected to turn attention to mental health professionals who have been on the frontlines of treating these mental health difficulties. This study fills this gap in the literature by examining mental health professionals' reactions during the early stages of the pandemic. Sixty-nine mental health professionals completed questionnaires examining trauma, grief, and resilience during the COVID-19 pandemic. Results indicated that 48% of participants met criteria for a provisional diagnosis of posttraumatic stress disorder (PTSD) and 7% were experiencing severe grief. Those who first began using virtual platforms during the pandemic reported less grief and fewer PTSD symptoms. Those with children reported more resilience. Further, resilience mediated the relationship between having children and grief. Resilience and PTSD symptoms independently predicted grief responses. The results suggest the COVID-19 pandemic had profound effects on mental healthcare providers during the early stages of the pandemic. [ABSTRACT FROM AUTHOR]

Digital therapeutics—web-based programs, smartphone applications, and wearable devices designed to prevent, treat, or manage clinical conditions through software-driven, evidence-based intervention—can provide accessible alternatives and/or may supplement standard care for patients with serious mental illnesses, including schizophrenia. In this article, we provide a targeted summary of the rapidly growing field of digital therapeutics for schizophrenia and related serious mental illnesses. First, we define digital therapeutics. Then, we provide a brief summary of the emerging evidence of the efficacy of digital therapeutics for improving clinical outcomes, focusing on potential mechanisms of action for addressing some of the most challenging problems, including negative symptoms of psychosis. Our focus on these promising targets for digital therapeutics, including the latest in prescription models in the commercial space, highlights future directions for research and practice in this exciting field. [ABSTRACT FROM AUTHOR]

Haptics for stress regulation is well developed these years. Using vibrotactile to present biofeedback, guiding breathing or heartbeat regulation is a dominant technical approach. However, designing computer-mediated affective touch for stress regulation is also a promising way and has not been fully explored. In this paper, a haptic device was developed to test whether the computer-mediated affective stroking on the forearm could help to assist people in reducing stress. In our method, we used mid-air technology to generate subtle pressure force by blowing air and generating thermal feedback by using Peltier elements simultaneously. Firstly, we found intensity and velocity parameters to present comfort and pleasant stroking sensations. Afterward, an experiment was conducted to find out whether this approach could help people mediate their perceived and physiological stress. A total of 49 participants were randomly assigned to either a Stroking Group (SG) or a Control Group (CG). Results showed that participants from SG felt more relaxed than those from CG. The physiological stress index, RMSSD, increased and LF/HF decreased in SG although these changes were not statistically significant. Our exploration created subtle, non-invasive, noiseless haptic sensations. It could be a promising alternative for assisting people in stress regulation. Design implications and future applicable scenarios were discussed. [ABSTRACT FROM AUTHOR]

Background: Digital weight loss services (DWLSs) that use Glucagon-like peptide-1 receptor agonists (GLP-1 RAs) have demonstrated potential in contributing to a shift in global obesity rates. However, reasonable concerns have been raised about the prescribing safety of these services. Prior to this study, electronic prescribing safety had only been investigated in hospital settings and community clinics. Methods: This study retrospectively analyzed prescribing errors committed over a 6-month period in 2023 at Australia's largest GLP-1 RA-supported DWLS. Results: The analysis found that 1654 (4.4%) of the 37323 audited GLP-1 RA prescriptions contained an error. Most errors pertained to insufficient safety counselling (49.15%) and inadequate investigations of potential contraindications (30.29%). Although a large portion of prescribing errors were detected via the automated query method (64.9%), the other three auditing methods all detected a significant number of true errors (>100). Patients from the highest body mass index category (40+ kg/m2) were overrepresented in the service's prescribing error data. Conclusions: These findings lay a vital foundation in the emerging literature on GLP-1 RA-supported DWLSs. [ABSTRACT FROM AUTHOR]

Objective: This qualitative study sought to explore patient experiences with technologies used in the Community Health in a Virtual Environment (Co-HIVE) pilot trial. Technology is becoming increasingly prevalent in mental healthcare, and user acceptance is critical for successful adoption and therefore clinical impact. The Co-HIVE pilot trialled a model of care whereby community-dwelling patients with symptoms of depression utilised virtual appointments and remote monitoring for the assessment and management of their condition, as an adjunct to routine care. Methods: Using a qualitative descriptive design, participants for this study were patients with symptoms of moderate to severe depression (based on the 9-item Patient Health Questionnaire, PHQ-9), who had completed the Co-HIVE pilot. Data was collected via semi-structured interviews that were audio-recorded, transcribed clean-verbatim, and thematically analysed using the Framework Method. Results: Ten participants completed the semi-structured interviews. Participants reported experiencing more personalised care, improved health knowledge and understanding, and greater self-care, enabled by the remote monitoring technology. Additionally, participants reported virtual appointments supported the clinician–patient relationship and improved access to mental health services. Conclusions: This experience of participants with the Co-HIVE pilot indicates there is a degree of acceptance of health technologies for use with community mental healthcare. This acceptance demonstrates opportunities to innovate existing mental health services by leveraging technology. [ABSTRACT FROM AUTHOR]

Background/Objectives: This study was conducted to develop information and communication technology (ICT)-based oral functional rehabilitation exercise (OFRE) program content to effectively improve the oral function of the elderly people. Methods: After selecting evidence-based effective OFRE items through systematic review, the final items were constructed through the validity evaluation of detailed items through an expert Delphi survey. The items were composed in a simple content form that can be performed directly and applied to ICT-based mobile applications. Results: The final content items consisted of an oral functional motor-ability measurement, oral Pilates videos, and games. The first is to measure the maximum opening amount before and after exercise, and the opening amount was designed to be measured by eating the fruit displayed on the screen by opening and closing the lips. The second one consisted of eight exercises in the video, and each exercise was to be performed at least three times a day, with a total of two sets. The third is a salivary secretion function exercise that stimulates the salivary glands to stimulate the user's interest and enable them to perform oral movements on their own. It consists of a lip and respiratory muscle exercise that inflates the cheeks and bursts a balloon, and the image disappears when the word in the image presented on the screen is pronounced correctly. It consists of pronunciation exercises. Conclusions: This content development attempt can be expanded into new convergence research linked to ICT and can be used as basic data when developing related content as part of digital care for the elderly in the future. [ABSTRACT FROM AUTHOR]

Introduction: With the goal of patient engagement, an initiative was formulated to equip each patient in the general wards with a tablet whereby they can access their health information and patient education materials and communicate with their healthcare team. This paper presented the methodology of the implementation efforts as well as an evaluation of the preliminary outcomes. Methods: The process of hospital-wide implementation was shared using the implementation research logic model. The bedside tablets were rolled out hospital-wide in a step-wedge manner over 12 months. Barriers and facilitators to this implementation were discussed together with strategies to optimize the situation. Preliminary outcomes of the implementation were evaluated using the RE-AIM framework. Results: The initial adoption rate for the bedside tablet was low. Additional strategies, such as survey audits and provision of feedback, development of education materials for patients, facilitation, and purposefully re-examining the implementation strategies, were used to improve adoption. The trend of adoption increased over the course of 2 years from the start of implementation. Discussion: The initial lower adoption rates may reflect Singapore's paternalistic healthcare culture. While this implementation was driven by the need to move away from paternalism and toward patient engagement, more time is required for significant cultural change. [ABSTRACT FROM AUTHOR]

Digital medical devices (DMDs) present unique opportunities in their regulation and reimbursement. A dynamic landscape of DMD assessment frameworks is emerging within the European Union, with five clusters of prevailing approaches identified. Despite notable gaps in maturity levels, cross-country learning effects are becoming prevalent. We expect more countries, both within the EU and beyond, to follow the steps of current frontrunners, hence expediting the harmonization process. [ABSTRACT FROM AUTHOR]

Introduction: An immobile patient cannot be weighed on a stand-on weighing machine, i.e., a bathroom scale. They have to get weighed while lying, which is not easy. The main objective of this research is to design a medical apparatus that measures the patient's weight in a lying condition. To achieve this the apparatus is designed as a stretcher to carry the patient in and around the hospital. Methods: The stretcher has four load cells to measure the patient's weight; it can bear a weight of 500 kg and has a self-weight of 20 kg. A Microcontroller unit (MCU) is embedded into the apparatus to weigh the patient lying on it. The stretcher comprises the top frame, middle frame, and base frame. The top frame can be detached and mounted back to the middle frame; this will help the medical personnel shift the patients from a medical bed. The middle frame is a plate structure where the four load cells are mounted at the corners of the lower plate. The upper plate functions as a pressure plate on the load cell. The base plate has four heavy-duty wheels that can bear the load. The middle frame and base frame, together, form a single structure, giving mobility to the structure. A control panel is employed with reset, tare, and on-off buttons to control the embedded platform. The LCD panel on the side of the apparatus shows the weight when the patient is placed on top of the apparatus. Results and discussion: A prototype trolley equipped with a wireless data logging system was tested on 10 healthy participants. The device accurately measured weight within ±50 g across a scale range of 2-140 kg, with data captured every 30 s over a 5-min testing period. Wireless communication was successfully demonstrated over a 100-m range. The important add-on feature of this work is the apparatus is connected to the internet, transforming it into an IoT-based medical device. [ABSTRACT FROM AUTHOR]

ABSTRACT Aim Design Methods Results Conclusion Reporting Method Patient or Public Contribution The current study aimed to identify digital health literacy levels among nurses with respect to their education, role and attitude towards digital technologies.Cross‐sectional study.Through convenience sampling, all Registered Nurses, managers/leaders and nurse researchers employed in Hospitals, University Hospitals and Districts were recruited and surveyed using an online questionnaire. The data collection tool assessed: (I) demographics, (II) Digital Health Literacy (DHL) with the Health Literacy Survey19 Digital (HLS19‐DIGI) instrument including DHL dealing with digital health information (HL‐DIGI), interaction with digital resources for health (HL‐DIGI‐INT) and use of digital devices for health (HL‐DIGI‐DD); (III) attitudes on the use of digital technologies in clinical practice. The multiple correspondence analysis was applied to identify three clusters for the education/professional role (A, B, C) and three for digital technologies' use (1, 2, 3). The one‐way nonparametric analysis of variance (Kruskal–Wallis test) was applied to compare HL‐DIGI, HL‐DIGI‐INT and the HL‐DIGI‐DD scores among clusters.Among 551 participants, the median scores of the HL‐DIGI, the HL‐DIGI‐INT and the HL‐DIGI‐DD questionnaires were 70.2, 72 and 2.00, respectively. The distribution in the clusters ‘educational/professional role’ was A, (58.8%); B, (16.5%); and C, (24.7%). Nurses in a managerial or coordinator role and with a postgraduate degree used digital resources with greater frequency. The distribution in the clusters ‘use of digital technologies’ was: 1, (54.6%); 2, (12.2%); and 3, (33.2%). The HL‐DIGI‐DD and HL‐DIGI scores of clusters 1, 2 and 3 differed significantly.DHL among nurses is strongly influenced by the education level, professional role, habits and attitude towards digital technologies. Nurses with coordinator roles used digital technologies with greater frequency and had a higher level of DHL.The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) guidelines were used for reporting.No Patient or Public Contribution.Trial Registration: Local Ethical Committee of the Polyclinic of Bari (code: DHL7454, date: 21/09/22) [ABSTRACT FROM AUTHOR]

Background Methods Results Conclusions We developed MARVIN, an artificial intelligence (AI)‐based chatbot that provides 24/7 expert‐validated information on self‐management‐related topics for people with HIV. This study assessed (1) the feasibility of using MARVIN, (2) its usability and acceptability, and (3) four usability subconstructs (perceived ease of use, perceived usefulness, attitude towards use, and behavioural intention to use).In a mixed‐methods study conducted at the McGill University Health Centre, enrolled participants were asked to have 20 conversations within 3 weeks with MARVIN on predetermined topics and to complete a usability questionnaire. Feasibility, usability, acceptability, and usability subconstructs were examined against predetermined success thresholds. Qualitatively, randomly selected participants were invited to semi‐structured focus groups/interviews to discuss their experiences with MARVIN. Barriers and facilitators were identified according to the four usability subconstructs.From March 2021 to April 2022, 28 participants were surveyed after a 3‐week testing period, and nine were interviewed. Study retention was 70% (28/40). Mean usability exceeded the threshold (69.9/68), whereas mean acceptability was very close to target (23.8/24). Ratings of attitude towards MARVIN's use were positive (+14%), with the remaining subconstructs exceeding the target (5/7). Facilitators included MARVIN's reliable and useful real‐time information support, its easy accessibility, provision of convivial conversations, confidentiality, and perception as being emotionally safe. However, MARVIN's limited comprehension and the use of Facebook as an implementation platform were identified as barriers, along with the need for more conversation topics and new features (e.g., memorization).The study demonstrated MARVIN's global usability. Our findings show its potential for HIV self‐management and provide direction for further development. [ABSTRACT FROM AUTHOR]

Background: The cost of implementation is typically not accounted for in published economic evaluations, which determine the relative value for money of health innovations and are important for allocating scarce resources. Despite key papers outlining relevant implementation costs, they continue to be under reported in the literature and often not considered in practice. This study sought to understand and outline current practices for capturing the costs associated with implementation efforts, with examples from the digital health setting. Methods: A qualitative study of semi-structured interviews with purposefully sampled experts in implementation science, health economics and/or digital health was conducted. The interview guide was informed by a literature review and was pilot tested. Interviews were digitally recorded and transcribed. A hybrid inductive/deductive framework analysis was conducted using thematic analysis to elicit key concepts related to the research question. Results: Interviews were conducted with sixteen participants with specialist expertise in implementation science (n = 8), health economics (n = 6), and/or digital health (n = 8). Five participants were experienced in more than one field. Four key themes were elicited from the data: difficulty identifying and collecting implementation cost data; variation in approaches for collecting implementation cost data; the value of implementation costs; and collaboration enables implementation costing. Broadly, while interviewees recognised implementation costs as important, only some costs were considered in practice likely due to the perceived ill-defined boundaries and inconsistencies in terminology. A variety of methods were used to collect and estimate implementation costs; the most frequent approach was staff time tracking. Multidisciplinary collaboration facilitated this process, but the burden of collecting the necessary data was also highlighted. Conclusions: In current practice, standardised methods are not commonly used for data collection or estimation of implementation costs. Improved data collection through standardised practices may support greater transparency and confidence in implementation cost estimates. Although participants had industry exposure, most were also academic researchers and findings may not be representative of non-academic industry settings. [ABSTRACT FROM AUTHOR]