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A Journal of Medical Internet Research study notes that 80% adoption of this is done in health apps. As the decade of the 2010s started, it ...

Date Submitted: Oct 8, 2025. Open Peer Review Period: Oct 8, 2025 - Dec 3, 2025.

Date Submitted: Oct 8, 2025. Open Peer Review Period: Oct 8, 2025 - Dec 3, 2025.

Date Submitted: Oct 8, 2025. Open Peer Review Period: Oct 8, 2025 - Dec 3, 2025.

Date Submitted: Oct 8, 2025. Open Peer Review Period: Oct 8, 2025 - Dec 3, 2025.

... Journal of Medical Internet Research. Stephanie Erika Bonn · Gabriella Licitra · Rino Bellocco; [...] ...

Journal of Medical Internet Research · Journal of Medical Internet Research 10495 articles · JMIR Research Protocols 5059 articles · JMIR Formative ...

Date Submitted: Sep 24, 2025. Open Peer Review Period: Oct 8, 2025 - Dec 3, 2025.

Date Submitted: Oct 7, 2025. Open Peer Review Period: Oct 8, 2025 - Dec 3, 2025.

Date Submitted: Oct 7, 2025. Open Peer Review Period: Oct 8, 2025 - Dec 3, 2025.

Date Submitted: Oct 7, 2025. Open Peer Review Period: Oct 7, 2025 - Dec 2, 2025.

Date Submitted: Oct 7, 2025. Open Peer Review Period: Oct 8, 2025 - Dec 3, 2025.

Date Submitted: Oct 7, 2025. Open Peer Review Period: Oct 7, 2025 - Dec 2, 2025.

Background: Surgical procedures and their potential complications place substantial strain on patients, clinicians, and #Health care systems. These strains are driven by the anticipated morbidity and mortality, so that there is resource-intensive postoperative inpatient management. Given the concentration of surgical services within hospital settings, current standard levels of care have limitations such as communication gaps, time lapses before evaluation, and investment of resources, which limit accessibility and generate disparities in delivery of care. However, recent advances in #Digital #Health, including #Telemedicine platforms, #Mobile #Health (#mHealth), and #Wearable technologies, present an opportunity to decentralize and extend perioperative care into community settings. This review explored how established #mHealth technologies are being integrated into the perioperative pathway and their impact on surgical care delivery and outcomes. It also highlights possible emerging models of remote physician and patient interaction where benefits seem to be outweighing the risks. Objective: The aim of this narrative review was to present collected evidence for the use of established #mHealth technologies in the surgical pathway of patients and highlight their readiness and potential in models of standard care. Methods: A comprehensive literature search was conducted across MEDLINE (via PubMed), Web of Science, and Scopus databases between October 2022 and May 2024. Additional sources were identified through reference list screening of relevant systematic reviews. Data were extracted and analyzed based on surgical specialty, type of #mHealth intervention, cost-effectiveness, and ethical considerations. Findings were summarized in tables to illustrate key trends and variations across studies. The extracted data were tabulated and described qualitatively to highlight similarities, differences, and possible emerging trends across the studies. Results: A total of 28 articles published between 2008 and 2022 were included for qualitative analysis, with most (n=21, 75%) originating from the United States, Germany, and the United Kingdom. The study designs were predominantly randomized controlled trials (n=9, 32%) and observational studies (n=8, 29%). Collectively, these studies involved 6344 patients undergoing #mHealth-based perioperative interventions primarily in general surgery, orthopedics, and oncology. Interventions frequently used smartphones (n=10, 36%) and #Wearable devices, often in combination with other tracking and measuring systems. Applications included wound monitoring, postoperative follow-up, and patient education. Data collection was multimodal and typically conducted daily, yet only 36% (10/28) of the articles reported defined follow-up periods. Cost-effectiveness was rarely assessed, with only 4% (1/28) of the articles reporting per-patient savings. Overall, 64% (18/28) of the articles were rated as low quality due to methodological limitations. Conclusions: #mHealth- and #Telehealth-based interventions show promise in enhancing aspects of perioperative care by enabling remote monitoring, patient engagement, and improved care continuity. Future research should focus on scalable implementation, true cost-effectiveness analysis, equitable access, and integration into clinical workflows to ensure broad applicability in current models of care.

Background: Globally, the number of illegal drug users is rising, posing mental and physical health challenges and increasing societal burdens. Despite a significant need for treatment, only about 10% of these individuals receive it worldwide, often with poor adherence. Traditional treatments, while effective, suffer from high dropout rates due to limitations. The COVID-19 pandemic has spurred the growth of digital interventions like apps and online platforms, offering flexibility and cost-effectiveness that better meet patient needs and improve engagement. However, addressing the persistently high dropout rates in these online treatments is crucial and necessitates further research. Objective: This study aimed to estimate dropout rates among adults with illicit drug use participating in digital psychosocial intervention trials, and to identify factors associated with attrition. Methods: We conducted a systematic search of five major databases for English-language randomized trials published up to January 27, 2025. A total of 40 studies (80 arms; 9,563 participants) reporting 46 dropout rate estimates were included. A random-effects model was used to calculate pooled dropout rates, with meta-regression and subgroup analyses exploring potential moderators. The study was registered on PROSPERO (CRD42024534389). Results: At post-test, the pooled dropout rate in the intervention group across 17 studies was 22.4% (95% CI: 12.4%–37.2%). Dropout was significantly associated with education level, employment status, baseline clinical diagnosis, intervention frequency, and initial medication use. During the longest follow-up (29 studies), the dropout rate was 27.9% (95% CI: 18.8%–39.3%), with marital status, recruitment source, medication frequency, and intervention modality as significant predictors. Control group dropout rates were 25.9% and 28.3%, both higher than those in the intervention group. Conclusions: This meta-analysis revealed substantial dropout among adults with illicit drug use receiving digital psychosocial interventions. Targeted modifications to intervention design may improve engagement and long-term retention. Clinical Trial: The study was registered on PROSPERO (CRD42024534389).

Background: Disaster medicine education increasingly emphasizes situational awareness and a proactive disaster mindset as crucial competencies for effective response. Situational awareness involves comprehending the disaster environment to make informed decisions under pressure, while a disaster mindset encompasses psychological resilience and effective functioning amidst chaos. Integrating technologies into simulation training allows experiential learning that bridges theoretical knowledge with practical application. Objective: This study aims to investigate the current status of teaching these concepts and the use of technology in fostering SA and a DMS, both individually and collectively, as well as locally, regionally, and transnationally, by reviewing the existing literature. Methods: This paper explores the integration of technology into disaster medicine education through a scoping review of scientific studies and publications, supplemented by a Google search for gray literature and official publications from relevant organizations. Results: Simulation training using virtual and augmented reality immerses learners in realistic disaster scenarios, enhancing situational awareness and stress management. Data analytics and GIS (Geographical Information System) mapping provide real-time information for better decision-making, while communication technologies like social media analysis tools offer insights into evolving disaster landscapes. Integrating these technologies into education bridges the gap between theory and practice, ensuring students are well-prepared for emergencies through experiential learning that fosters cognitive understanding and psychological preparedness. Conclusions: Simulation training using virtual and augmented reality enhances situational awareness and stress management, bridging the gap between theory and practice through experiential learning. The findings from this review highlight current pedagogical approaches and technological applications, identifying gaps and future directions for enhancing disaster medicine education.

Background: Providing integrated care is essential in pediatric #Rehabilitation, as children with disabilities often navigate complex, long-term pathways involving multiple professionals across health, education, and community services. Strengthening communication and partnership among children, families, and professionals is key to supporting meaningful participation in daily life. Shared #Digital health portals offer a promising solution to support integrated care, yet their potential remains underexplored in this context. Objective: This #Study explores the perspectives of multidisciplinary professionals involved in pediatric #Rehabilitation on shared patient portals designed to support integrated care for children with disabilities. Methods: An interpretive descriptive qualitative #Study grounded in a constructivist epistemological position was conducted. Data were collected through semistructured online interviews with professionals purposively recruited using maximum variation sampling. All were involved in the #Rehabilitation pathways of children with motor, cognitive, or mental disabilities in France. Interview verbatim transcripts were analyzed using NVivo (version 14, Lumivero) by an interdisciplinary team of researchers, including parents and clinicians, using a thematic analysis approach. Theoretical saturation was reached. Results: A total of 32 professionals, including clinicians, educators, social workers, and coaches working in hospitals, #Rehabilitation centers, outpatient clinics, or private practices, integrated health and social services, schools, nurseries, leisure associations, and social services, participated in this #Study. Four themes captured professionals’ ambivalent perspectives on portals, addressing their perceived contributions to integrated care, anticipated barriers, practical strategies for implementation, and expectations regarding features: (1) ensuring continuity across health, education, and recreation services: navigating transparency, confidentiality, and inclusion; (2) enhancing family partnership while preserving professional autonomy and navigating engagement diversity; (3) involving children in patient portals: from children’s empowerment to professionals’ ethical responsibility; and (4) the contrast between concerns about additional workload and beliefs regarding efficiency. Participants suggested features such as shared calendars, secure messaging, and tools to share videos, #Rehabilitation goals, and track progress, alongside practical strategies to support real-world adoption. Conclusions: This #Study highlights the perceived potential of shared patient portals to strengthen partnerships and fruitful collaboration among children, families, and professionals involved in the pediatric #Rehabilitation pathways, including education and recreation providers. Professionals proposed concrete features to support integrated care, informing the development of tools likely to improve the quality of #Rehabilitation services. Future studies should explore the perspectives of children, families, and decision makers to support effective implementation and evaluate the real-world impact. Clinical Trial: ClinicalTrials.gov NCT06570148; https://clinicaltrials.gov/#Study/NCT06570148

Background: The social determinants of health are “the conditions in which people are born, grow, live, work and age,” such as housing, employment, and race. Canadian primary health care organizations are increasingly looking for ways to systematically and routinely collect demographic and social needs data from patients to increase appropriate and responsive care by attending to the social determinants of health. The SPARK (screening for poverty and related determinants to improve knowledge of and links to local resources) tool is a standardized tool for use in primary health care settings that was developed, pilot-tested, refined, and validated in primary health care clinics across Canada. General Practitioners at the Deep End is a network of primary health care general practitioners working in the 100 most socioeconomically deprived areas in Scotland with the goal of connecting practitioners and advocating for better training, policies, and resources. Primary Health Care at the Deep End Canada or Soins primaires en milieux défavorisés Canada (Deep End Canada) was launched in June 2024 to offer guidance and resources to the growing number of primary health care teams interested in collecting and using demographic and social needs data. Objective: Our primary objective is to spread the sustainable implementation of the SPARK tool to systematically and routinely collect and use demographic and social needs data to respond to the social determinants of health in 20 to 25 primary health care organizations across Canada through the creation of Deep End Canada. Methods: Deep End Canada is a network of primary health care teams, including health professionals, #Researchers, and patient partners, working in areas with high rates of poverty. This project will use a multimethod developmental evaluation approach guided by the reach, effectiveness, adoption, implementation, and maintenance framework. Web-based surveys will capture the reach and adoption of demographic and social needs data collection, and network activities will be evaluated using qualitative analysis of focus groups, interviews, and meetings. Results: The #Study was funded in February 2022. Recruitment to the network commenced in June 2024 and included 10 organizations as of submission of the manuscript. Web-based survey data collection commenced in September 2024. Implementation of the network will be assessed from June 2024 to December 2025, with expected findings available in June 2026 and published in the fall of 2026. Conclusions: Efforts to systematically and routinely collect and use demographic and social needs data and address structural issues in Canadian primary health care have grown significantly in the last 10 years. This increased commitment involves using data to develop evidence-based interventions that can reduce health inequities and address local community needs at the individual, organizational, and policy levels. This #Study will demonstrate how the Deep End Canada network contributes to achieving those aims by fostering collaboration among practitioners to promote health equity and tackle the structural and social determinants of health.

Background: The United Nations considers #Children a crucial national asset and makes their welfare a top priority. However, infant mortality remains a persistent challenge, notably in Arab nations. Bahrain, Kuwait, and Oman, despite sharing similar income brackets and healthcare systems, differ in health policies, demographics, and maternal-#Child resource allocation. These countries also faced sharp fiscal deficits during the 2020 #covid19 crisis. Compared to wealthier nearby nations like the United Arab Emirates, their lower gross domestic product further complicates efforts to reduce the Infant Mortality Rate (IMR) and sustain effective, equitable #Child health strategies. Objective: This study aims to identify factors contributing to the IMR in Bahrain, Kuwait, and Oman by establishing an interpretative framework to examine the influence of sociodemographic, macroeconomic, health status and resource, and environmental factors. Methods: A longitudinal study collected annual time-series data (1990-2022) for Bahrain, Kuwait, and Oman from international open sources. To counterbalance the time-series effects on both IMR and explanatory factors, a generalized least squares (GLS) model based on the Cochrane-Orcutt procedure with a first-order autoregressive model was used. Results: GLS shows that the total fertility rate has a strong effect on IMR among the three countries (Oman: β=1.138, P

We outlined the characteristics and health status of individuals using a mobile health app, based on a real-world user database.

Background: Platinum salts are widely used for the treatment of #Cancers, including head and neck #Cancers. Despite their efficacy, platinum salts can induce neurosensory disorders such as ototoxicity, tinnitus, and decreased hearing acuity. Those side effects can have a major impact on the quality of life of patients and are not often considered after treatment. Objective: The #Study aims to compare the quality of life of patients with hearing aids in the case of ototoxicity due to platinum salt-based chemotherapy, according to two treatments: standard management without equipment versus standard management with equipment. Methods: PROTOTOX is an open pilot prospective monocentric and randomized #Study executed through collaboration of the Institut de Cancérologie de Lorraine (non-profit comprehensive #Cancer institute). 52 patients with head and neck #Cancer undergoing platinum-based chemotherapy and presenting with hypoacusis will be included and followed by an ear, nose and throat specialist. Audiometric testing will be performed, and eligible participants who consent will be randomized to either receive or not receive hearing aids (group 1 and 2). The primary endpoint of this #Study is to compare the quality of life of the patients undergoing platinum-based chemotherapy presenting with hypoacusis according to two ways of care: standard care without hearing aid versus standard care with hearing aid. Secondary outcomes are the evaluation of the hearing and the tinnitus, the evaluation of the patients’ satisfaction at the end of the #Study, and the evaluation of the patients’ adherence to hearing aid in case of ototoxicity due to platinum-based chemotherapy. Results: The #Study #Protocol has been opened and is actively recruiting participants. Conclusions: PROTOTOX #Study aims at demonstrating that the huge impact of platinum-based chemotherapy on hearing abilities must be managed to maintain the patients’ quality of life. Hearing aid is the solution experimented here. Clinical Trial: ClinicalTrials.gov NCT05936034; https://clinicaltrials.gov/#Study/NCT05936034.

Date Submitted: Oct 10, 2025. Open Peer Review Period: Oct 10, 2025 - Dec 5, 2025.

Background: Frozen shoulder is a shoulder ailment that denotes dysfunction in the arm characterised by limited range of motion accompanied by pain. The prevalence of adhesive capsulitis is 3-5% in the general population and up to 20% in those with #Diabetes. Physiotherapy, analgesics, corticosteroids, and surgical capsulotomy are common forms of treatment. Administering oil through the nasal route (or Nasya karma) is mentioned in Ayurvedic Scriptures for managing the above neck and clavicle disorders. Thermal microcautery (or Agnikarma) is a parasurgical procedure for treating related pathologies of bodily humor (Vata and Kapha). This #Study will aim to compare the efficacy of Honey Thermal micro cautery versus Standard Physiotherapy versus cordifolia oil via nasal administration in the treatment of frozen shoulder to determine which provided the most relief. Objective: The primary aim is to evaluate the efficacy of Honey Thermal Micro Cautery, Standard Physiotherapy, and Sida Cordifolia Oil via Nasal Administration on VAS, R.O.M., and S.P.A.D.I., Mc Gill Pain Questionnaire and to compare these interventions. The secondary objective is to assess sustained relief in all three groups. Methods: We will enrol 60 patients, 20 in each group, for this single-blind accessor control #Study. Group A will receive Ayurvedic treatment, that is, Thermal micro cautery using honey for two days (1st and 7th ) and placebo capsules (twice per day) for seven days, and Group B will receive Standard Physiotherapy and placebo capsules (twice per day) for seven days; Group C will be given Sida cordifolia oil via nasal administration with eight drops in each nostril and placebo capsules (twice per day) for seven days. Evaluation Parameters: Pain (Visual Analog Scale - VAS), Range of Motion (R.O.M.) measured with a goniometer, Shoulder Pain and Disability Index (S.P.A.D.I.), Mc Gill Pain Questionnaire. On 18/09/2023, approval was received from the Institutional Ethics Committee Mahatma Gandhi Ayurved College, Hospital and #Research Centre, Salod(H), with Ref. No. MGACHRC/IEC/Sep-2023/740 C.T.R.I. registration No, C.T.R.I./2023/11/059594 Results: The results will be subjected to statistical analysis using appropriate methods like ANOVA test. If ANOVA shows significance, post hoc tests (e.g. Tukey’s HSD) will identify group differences, with p

Background: Background: Exercise is an important aspect of #diabetes self-management. Patients with type 1 #diabetes frequently struggle with exercise-induced hyperglycemia and hypoglycemia, decreasing their willingness to exercise. Objective: Objective: We aim to build accurate and easy-to-deploy models to forecast exercise-induced glycemic events in real-world settings. Methods: Methods: We analyzed free-living data from the Type 1 #diabetes Exercise Initiative (T1DEXI) study, where adults with type 1 #diabetes wore a continuous glucose monitor (CGM) while performing video-guided exercises (30-minute exercises at least 6 times over 4 weeks), along with concurrent detailed phenotyping of their insulin program and diet. We built models to predict glycemic events (blood glucose ≤ 54 mg/dL, ≤ 70 mg/dL, ≥ 200 mg/dL, and ≥ 250 mg/dL) during and 1-hour post-exercise with variables from four data modalities: demographic and clinical; CGM; carbohydrate intake and insulin administration; and exercise type, duration and intensity. Results: Results: Models incorporating information from all four data modalities showed excellent predictive performance with AUCs > 0.880 for all glycemic events. Models built with CGM data alone have statistically indistinguishable performance compared to models using all data modalities. These models also showed outstanding calibration (Brier score ≤ 0.08) and resilience to noisy input. Conclusions: Conclusion: We successfully constructed models to forecast exercise-induced glycemic events using only automatically captured CGM data as input, incurring minimal user burden. These models showed excellent predictive performance, calibration, and robustness, enabling model translation into a decision support tool that is easy to deploy and maintain.