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JMIR Publications

@jmirpub.bsky.social

A leading open access publisher of digital health research and champion of open science. With a focus on author advocacy and research amplification, JMIR Publications partners with researchers to advance their careers and maximize the impact of their work.

1,600 Followers  |  7 Following  |  14,646 Posts  |  Joined: 22.11.2024
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Posts by JMIR Publications (@jmirpub.bsky.social)

Bridging Inner Growth and Global #Health: A Position Paper on Embedding IDGs in #Health Professions Curricula Date Submitted: Feb 25, 2026. Open Peer Review Period: Feb 26, 2026 - Apr 23, 2026.

Reminder>> Bridging Inner Growth and Global #Health: A Position Paper on Embedding IDGs in #Health Professions Curricula (preprint) #openscience #PeerReviewMe #PlanP

02.03.2026 01:41 — 👍 0    🔁 0    💬 0    📌 0
FedCD: Contrastive-Distillation Regularization for Heterogeneous Data in Federated Learning Journal of medical Internet research. (2023). J. Zhao et al. The federation strikes back: A survey of federated learning privacy attacks, defenses ...

FedCD: Contrastive-Distillation Regularization for Heterogeneous Data in Federated Learning (mentions @jmirpub)

01.03.2026 19:26 — 👍 0    🔁 0    💬 0    📌 0
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What #Patients Ask About FDA-Approved Rosacea Treatments: Insights from an Online Community Date Submitted: Feb 12, 2026. Open Peer Review Period: Feb 26, 2026 - Apr 23, 2026.

Reminder>> What #Patients Ask About FDA-Approved Rosacea Treatments: Insights from an Online Community (preprint) #openscience #PeerReviewMe #PlanP

01.03.2026 18:11 — 👍 0    🔁 0    💬 0    📌 0
Adapting an online PROM portal for paediatric physiotherapy: a co-design process Date Submitted: Feb 12, 2026. Open Peer Review Period: Feb 26, 2026 - Apr 23, 2026.

Reminder>> Adapting an online PROM portal for paediatric physiotherapy: a co-design process (preprint) #openscience #PeerReviewMe #PlanP

01.03.2026 16:29 — 👍 0    🔁 0    💬 0    📌 0
Climate, Humidity, and Population-Level Interest in Dry Skin: A Google Trends Analysis Across the United States Date Submitted: Feb 16, 2026. Open Peer Review Period: Feb 26, 2026 - Apr 23, 2026.

Reminder>> Climate, Humidity, and Population-Level Interest in Dry Skin: A Google Trends Analysis Across the United States (preprint) #openscience #PeerReviewMe #PlanP

01.03.2026 15:35 — 👍 0    🔁 0    💬 0    📌 0
Developing and Testing a Conversational Agent Delivering Problem-Solving Therapy (PST) for Family Caregivers of Children with a Chronic #Health Condition Date Submitted: Feb 25, 2026. Open Peer Review Period: Feb 26, 2026 - Apr 23, 2026.

Reminder>> Developing and Testing a Conversational Agent Delivering Problem-Solving Therapy (PST) for Family Caregivers of Children with a Chronic #Health Condition (preprint) #openscience #PeerReviewMe #PlanP

01.03.2026 15:11 — 👍 0    🔁 0    💬 0    📌 0
The Application of Mobile #Health Technologies in Childhood Unintentional Injuries: A Scoping Review Date Submitted: Feb 24, 2026. Open Peer Review Period: Feb 25, 2026 - Apr 22, 2026.

Reminder>> The Application of Mobile #Health Technologies in Childhood Unintentional Injuries: A Scoping Review (preprint) #openscience #PeerReviewMe #PlanP

01.03.2026 07:50 — 👍 0    🔁 0    💬 0    📌 0
Mobile Apps for Neonatal Jaundice Screening in Low- and Middle-Income Countries: A Scalable and Sustainable Solution? Date Submitted: Feb 24, 2026. Open Peer Review Period: Feb 25, 2026 - Apr 22, 2026.

Reminder>> Mobile Apps for Neonatal Jaundice Screening in Low- and Middle-Income Countries: A Scalable and Sustainable Solution? (preprint) #openscience #PeerReviewMe #PlanP

01.03.2026 03:28 — 👍 0    🔁 0    💬 0    📌 0
Team-Based Analysis of Large-Scale Qualitative Data: Tutorial Using a Nationwide SMS ... Journal of Medical Internet Research · Journal of Medical Internet Research 10951 articles · JMIR Research Protocols 5487 articles · JMIR Formative ...

Team-Based Analysis of Large-Scale Qualitative Data: Tutorial Using a Nationwide SMS ... (mentions @jmirpub)

28.02.2026 18:45 — 👍 0    🔁 0    💬 0    📌 0
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Feasibility and Preliminary Efficacy of a Brief Videoconferencing Acceptance and Commitment Therapy Workshop for Chinese Parents of Children with Autism Spectrum Disorder: A Pilot #RCT #ClinicalTrial Date Submitted: Feb 24, 2026. Open Peer Review Period: Feb 26, 2026 - Apr 23, 2026.

Feasibility and Preliminary Efficacy of a Brief Videoconferencing Acceptance and Commitment Therapy Workshop for Chinese Parents of Children with Autism Spectrum Disorder: A Pilot #RCT #ClinicalTrial (preprint) #openscience #PeerReviewMe #PlanP

28.02.2026 15:52 — 👍 0    🔁 0    💬 0    📌 0
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A Scoping Review Mapping the Landscape, Evidence, Gaps, and Opportunities for #Digital #MentalHealth Interventions for Older Adults Date Submitted: Jan 30, 2026. Open Peer Review Period: Feb 25, 2026 - Apr 22, 2026.

Reminder>> A Scoping Review Mapping the Landscape, Evidence, Gaps, and Opportunities for #Digital #MentalHealth Interventions for Older Adults (preprint) #openscience #PeerReviewMe #PlanP

28.02.2026 15:34 — 👍 0    🔁 0    💬 0    📌 0
Is Gait Enough for #Wearable Fall Risk Assessment: Importance Evaluation of STEADI-Based Factors Date Submitted: Feb 23, 2026. Open Peer Review Period: Feb 25, 2026 - Apr 22, 2026.

Reminder>> Is Gait Enough for #Wearable Fall Risk Assessment: Importance Evaluation of STEADI-Based Factors (preprint) #openscience #PeerReviewMe #PlanP

28.02.2026 15:01 — 👍 0    🔁 0    💬 0    📌 0
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#Patient-Reported Experiences with Viewing and Understanding Test Results in #Patient Portals: A #Survey Analysis Date Submitted: Feb 24, 2026. Open Peer Review Period: Feb 24, 2026 - Apr 21, 2026.

Reminder>> #Patient-Reported Experiences with Viewing and Understanding Test Results in #Patient Portals: A #Survey Analysis (preprint) #openscience #PeerReviewMe #PlanP

28.02.2026 14:43 — 👍 1    🔁 0    💬 0    📌 0
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Consumer and #Patient #Health Information Seeking with Generative AI Tools: A Systematic Literature Review of Facilitators and Barriers Date Submitted: Feb 24, 2026. Open Peer Review Period: Feb 24, 2026 - Apr 21, 2026.

Reminder>> Consumer and #Patient #Health Information Seeking with Generative AI Tools: A Systematic Literature Review of Facilitators and Barriers (preprint) #openscience #PeerReviewMe #PlanP

28.02.2026 14:34 — 👍 0    🔁 0    💬 0    📌 0
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Assessing Quality, Readability, and Transparency of Online and Artificial Intelligence-Generated Information on Type 2 #Diabetes Mellitus: A Cross-Sectional #Study Date Submitted: Feb 19, 2026. Open Peer Review Period: Feb 27, 2026 - Apr 24, 2026.

Assessing Quality, Readability, and Transparency of Online and Artificial Intelligence-Generated Information on Type 2 #Diabetes Mellitus: A Cross-Sectional #Study (preprint) #openscience #PeerReviewMe #PlanP

28.02.2026 09:34 — 👍 1    🔁 0    💬 0    📌 0
Effects of Mobile Text Intervention on Transitions of Care and Outcomes after #Hospitalization with Acute Coronary Syndrome - The TEACH (TExting After acute coronary syndrome discHarge) Pilot Randomized trial Date Submitted: Feb 26, 2026. Open Peer Review Period: Feb 27, 2026 - Apr 24, 2026.

Effects of Mobile Text Intervention on Transitions of Care and Outcomes after #Hospitalization with Acute Coronary Syndrome - The TEACH (TExting After acute coronary syndrome discHarge) Pilot Randomized trial (preprint) #openscience #PeerReviewMe #PlanP

28.02.2026 05:58 — 👍 0    🔁 0    💬 0    📌 0
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Feasibility, #Usability #UX, Adherence, and #Health Outcomes of Coaching #App with Limb Swelling Monitoring for Self-Management in #Patients with Breast #Cancer-Related Lymphedema: 12-Week Results of a Single-Arm Longitudinal #Study Date Submitted: Feb 26, 2026. Open Peer Review Period: Feb 27, 2026 - Apr 24, 2026.

Feasibility, #Usability #UX, Adherence, and #Health Outcomes of Coaching #App with Limb Swelling Monitoring for Self-Management in #Patients with Breast #Cancer-Related Lymphedema: 12-Week Results of a Single-Arm Longitudinal #Study (preprint) #openscience #PeerReviewMe #PlanP

28.02.2026 05:53 — 👍 1    🔁 0    💬 0    📌 0
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‘Making sense of the training’: A qualitative analysis of proximal and long-term participants’ perspectives on approach bias modification for smoking cessation Date Submitted: Feb 10, 2026. Open Peer Review Period: Feb 27, 2026 - Apr 24, 2026.

‘Making sense of the training’: A qualitative analysis of proximal and long-term participants’ perspectives on approach bias modification for smoking cessation (preprint) #openscience #PeerReviewMe #PlanP

28.02.2026 01:33 — 👍 0    🔁 0    💬 0    📌 0
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Core Elements, Development, and Implementation Strategies of the Nursing Minimum Data Set: Scoping Review Background: Nursing care systems face significant challenges due to demographic changes, a workforce shortage, and rising demand for care services. #digital assistive technologies offer potential to address these challenges, but systematic and standardized nursing data are essential to evaluate both innovations and broader care processes. The Nursing Minimum Data Set (NMDS) provides a foundational framework for capturing structured information on nursing care, yet there is no international consensus on its core content, development, and practical use. Objective: This scoping review aims to map current international literature regarding (1) the core content elements of NMDS, (2) methodological approaches used in NMDS development, and (3) implementation and use of NMDS in different nursing settings. Methods: Following the JBI (Joanna Briggs Institute) methodology and Arksey and O’Malley framework, a systematic search was conducted on July 2, 2025, in the MEDLINE (via PubMed) and CINAHL (via EBSCO) databases using the term “nursing minimum data set.” Inclusion was restricted to studies in English or German focusing on the content, development, or implementation of the NMDS. The #research team reviewed studies in an independent and double-blinded fashion for eligibility based on predefined criteria, with discrepancies resolved by consensus. Eligible studies were narratively summarized, with extraction structured into categories based on the review’s #research questions. Results: From 1908 initially identified articles, 26 (1.4%) studies met the inclusion criteria. Considerable heterogeneity was found in the structure and scope of the NMDS, with datasets comprising 16 to 145 items. Despite variation, 4 central domains consistently emerged: #patient demographics, #medical care information, nursing care elements, and institutional or organizational data. NMDS development typically followed a participatory, multistage approach involving literature analysis, stakeholder consensus building, and validation through pretesting and real-world application. Implementation and use of the NMDS serve multiple functions, including documenting nursing care processes, supporting workload measurement and resource planning, quality assurance, benchmarking, and demonstrating nursing’s contribution to #patient outcomes. However, successful implementation depends on technical, legal, organizational, and educational strategies. Core challenges include a lack of standardized terminology, inconsistent legal frameworks, and varying levels of staff training and acceptance. Conclusions: The NMDS provides a robust basis for standardized nursing documentation, quality assurance, and #health system planning, but international variability and ongoing challenges in harmonization, integration, and acceptability persist. Advancing the NMDS requires collaborative efforts for interoperability, investment in #digital infrastructure, and targeted education. Further #research should focus on comparative effectiveness, cross-context validation, and strategies to reduce documentation burden while maximizing data utility.

New JMIR MedInform: Core Elements, Development, and Implementation Strategies of the Nursing Minimum Data Set: Scoping Review

27.02.2026 23:33 — 👍 0    🔁 0    💬 0    📌 0
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Feasibility of Vigorous Extended Reality Tele-Exergaming for Cardiometabolic Health in Youth With Mobility Disabilities: #Protocol for a Case Series #Study Background: Young people with mobility disabilities have limited options to maintain their cardiometabolic health and cardiorespiratory fitness. Active video gaming using extended reality head-mounted displays is becoming increasingly common for promoting serious exergaming. However, there is a need to identify dosing #Protocols that can potentially lead to meaningful improvements in cardiometabolic health and cardiorespiratory fitness. Objective: This feasibility #Study aims to explore potential benefits of vigorous-intensity extended reality exergaming, conducted at home with telemonitoring for body composition and cardiometabolic health, in 4 young people with cerebral palsy and overweight or obesity. The secondary aim is to assess the effects of the program on cardiorespiratory fitness. The tertiary aim is to describe the safety and acceptability of the intervention. Methods: This case #Study is a phase 1 feasibility trial with a pretest-to-posttest design including 4 participants. Young people with cerebral palsy and overweight or obesity (aged 13-24 years) will be purposively selected to participate based on 2 mobility categories (ambulatory: n=2; nonambulatory: n=2). The intervention prescription will include 240 minutes per week of vigorous-intensity exercise at home for a total of 6 weeks, with telemonitoring of exercise data that will be supplemented with weekly coaching calls. Participants will exercise using a head-mounted display to control an immersive exergame. Caregivers will agree to manage a play schedule and assess their children’s safety during play. Body composition will be measured using dual-energy x-ray absorptiometry at the pre- and postintervention time points (weeks 0 and 7, respectively). Blood-related health (fasting insulin, lipids, high-sensitivity C-reactive protein, and glycated hemoglobin) will be measured via a blood spot test, and blood pressure will be measured via a sphygmomanometer. Cardiorespiratory fitness (peak oxygen consumption) will be measured using a portable metabolic cart (COSMED K5) during a graded exercise test on an arm ergometer at the pre- and postintervention time points. Quantitative process metrics and qualitative feedback will be used to assess feasibility. Changes in outcomes over time will be descriptively analyzed. Results: Recruitment began in October 2025. All data are anticipated to be collected by December 2025. Full results are anticipated to be analyzed and submitted for publication by April 2026. Conclusions: This feasibility #Study tests an accessible and intensive program, which leverages high-intensity exercise gaming with telehealth procedures for children with cerebral palsy. #Study findings will inform a pilot efficacy trial to improve cardiometabolic health and fitness among young people with mobility disabilities. Trial Registration: ClinicalTrials.gov NCT07155213; https://clinicaltrials.gov/#Study/NCT07155213 International Registered Report Identifier (IRRID): PRR1-10.2196/85246

JMIR Res Protocols: Feasibility of Vigorous Extended Reality Tele-Exergaming for Cardiometabolic Health in Youth With Mobility Disabilities: #Protocol for a Case Series #Study

27.02.2026 22:52 — 👍 0    🔁 0    💬 0    📌 0
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A Novel Social Network Approach to Measure Intersectional Stigma Among Latino Men Who Have Sex With Men #msm in San Diego, California (NEXUS): #Protocol for a Longitudinal Cohort #Study Background: Latino Men Who Have Sex With Men #msm (LMSM) account for a disproportionate and growing number of HIV diagnoses in the United States. Intersectional stigma remains a key driver of HIV inequities; however, most quantitative intersectional stigma measures are limited and do not consider the larger social context. Objective: NEXUS is a longitudinal cohort #Study that will use social network methods and theory to rigorously measure intersectional stigma among LMSM and quantify the longitudinal association between intersectional stigma and HIV prevention outcomes. Methods: We will prospectively enroll 500 HIV-negative LMSM in San Diego, California, and follow participants over 1 year. At baseline and every 6 months thereafter (Month 0, Month 6, and Month 12), participants will complete an interviewer-administered social network inventory and a self-administered survey to collect information on their social networks (alter types, size, and characteristics) and HIV prevention engagement (HIV testing and pre-exposure prophylaxis use), respectively. Information on HIV prevention engagement will also be abstracted from medical records. Intersectional stigma will be operationalized as a multilevel latent variable comprised of observed measures of anticipated and enacted stigma experienced by a participant from an alter toward the participant’s Latino, masculine, and sexual identities. Multilevel structural equation modeling will be used to estimate the longitudinal association between intersectional stigma, HIV testing, and pre-exposure prophylaxis use, considering potential mediators and moderators. Results: NEXUS recruitment began in June 2021, and as of March 11, 2025, a total of 482 participants had been enrolled. Enrollment is planned to end by May 2025, with baseline results expected late 2025 and through the following year. Data collection for our prospective #Study aims is expected to be complete in June 2026, with data analysis and expected results published later that year. Conclusions: NEXUS will advance quantitative intersectional stigma measurement using a novel social network approach. This #Study will identify intervention targets to reduce HIV inequities among LMSM and mitigate the harms of intersectional stigma in this population. International Registered Report Identifier (IRRID): DERR1-10.2196/72334

JMIR Res Protocols: A Novel Social Network Approach to Measure Intersectional Stigma Among Latino Men Who Have Sex With Men #msm in San Diego, California (NEXUS): #Protocol for a Longitudinal Cohort #Study

27.02.2026 22:38 — 👍 0    🔁 0    💬 0    📌 0
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Validating a Multibiomarker Panel for the Assessment of Quantity and Quality of Plant Foods in the Diet (PLAENTI): #Protocol for a Parallel Group–Designed #RCT #ClinicalTrial Background: Although a high intake of plant foods is often considered healthy, some plant foods can be detrimental to health. Reliable dietary assessment is crucial to examine the relationship between diet and disease. Current dietary assessment methods rely on self-reported intake data, which are subject to bias. Objective measurement using biomarkers of food intake could mitigate this problem. However, single biomarkers of food intake have limitations as well. Combining several biomarkers of food intake into a multibiomarker panel could attenuate these limitations and allow for an accurate, objective dietary assessment. Objective: The PLAENTI #Study aims to validate a multibiomarker panel for the assessment of quantity and quality of plant foods in the diet. Methods: PLAENTI is a #RCT #ClinicalTrial with 4 arms in a parallel design. Metabolically healthy adults (≥18 years old) were enrolled in the #Study. The #Study consisted of 1 week of run-in, with a standardized diet low in healthful plant foods for all participants; 2 weeks of a dietary intervention according to the assigned arm; and 1 week of washout, during which participants returned to their habitual diet. During the intervention, the participants’ diet consisted of either a low, medium, or high proportion of healthful plant foods or a high proportion of unhealthful plant foods in the diet according to the assigned arm. The arm that received a high proportion of healthful plant foods served as the control. All food was provided based on energy-adjusted menu plans. During the visits, anthropometry and body composition were assessed, and blood samples were collected. Throughout the #Study, participants collected multiple urine samples (24-hour urine, evening and morning spot urine) and stool samples. Blood and urine samples will be analyzed by liquid chromatography-mass spectrometry to determine biomarker levels for the validation of a multibiomarker panel. Results: After receiving approval from the ethics committee, recruitment began, and the first screening visit took place in November 2023. Between January and August 2024, of the 66 enrolled participants, 59 (31 female, 28 male) successfully completed the #Study, and their urine, blood, and stool samples are available for analysis. PLAENTI was conducted in 5 waves with a maximum of 16 participants enrolled in each wave. The mean age of the #Study population was 45.5 (SD 18.4) years, the mean BMI was 24.8 (SD-3.9) kg/m², and the mean total energy expenditure was 2464 (SD 440) kcal. Conclusions: PLAENTI was conducted in a highly controlled and standardized manner, yielding samples and data that will be used to examine whether the quantity and quality of plant foods in the diet can be assessed using a multibiomarker panel. Successful validation of the multibiomarker panel would enable its application for objective dietary assessment. Trial Registration: German Clinical Trials Register DRKS00032738; https://drks.de/search/en/trial/DRKS00032738 International Registered Report Identifier (IRRID): DERR1-10.2196/77571

JMIR Res Protocols: Validating a Multibiomarker Panel for the Assessment of Quantity and Quality of Plant Foods in the Diet (PLAENTI): #Protocol for a Parallel Group–Designed #RCT #ClinicalTrial

27.02.2026 22:25 — 👍 0    🔁 0    💬 0    📌 0
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Evaluating GPT-4 Responses on Scars or Keloids for #patient Education: Large Language Model Evaluation Study Background: Scars and keloids impose significant physical and psychological burdens on #patients, often leading to functional limitations, cosmetic concerns, and mental #health issues such as anxiety or depression. #patients increasingly turn to online platforms for information; however, existing web-based resources on scars and keloids are frequently unreliable, fragmented, or difficult to understand. Large language models such as GPT-4 show promise for delivering #medical information, but their accuracy, readability, and potential to generate hallucinated content require validation for #patient education applications. Objective: This study aimed to systematically evaluate GPT-4’s performance in providing #patient education on scars and keloids, focusing on its accuracy, reliability, readability, and reference quality. Methods: This study involved collecting 354 questions from Reddit communities (r/Keloids, r/SCAR, and r/PlasticSurgery), covering topics including treatment options, pre- and postoperative care, and psychological impacts. Each question was input into GPT-4 in independent sessions to mimic real-world #patient interactions. Responses were evaluated using multiple tools: the #patient Education Materials Assessment Tool-artificial intelligence (#AI) for understandability and actionability, DISCERN-AI for treatment information quality, the Global Quality Scale for overall information quality, and standard readability metrics (Flesch Reading Ease score, and Gunning Fog Index). Three plastic surgeons used the Natural Language Assessment Tool for artificial intelligence (#AI) to rate the accuracy, safety, and clinical appropriateness, while the Reference Evaluation for artificial intelligence (#AI) tool validated references for reference hallucination, relevance, and source quality. We conducted the same analysis to assess the quality of GPT-4–generated content in response to questions from 3 #medical websites. Results: GPT-4 demonstrated high accuracy and reliability. The #patient Education Materials Assessment Tool-artificial intelligence (#AI) showed 75.5% understandability, DISCERN-AI rated responses as “good” (26.3/35), and the Global Quality Scale score was 4.28 of 5. Surgeons’ evaluations averaged 3.94 to 4.43 out of 5 across dimensions (accuracy 3.9, SD 0.7; safety 4.3, SD 0.8; clinical appropriateness 4.4, SD 0.5; actionability 4.1, SD 0.8; and effectiveness 4.1, SD 0.8). Readability analyses indicated moderate complexity (Flesch Reading Ease Score: 50.13; Gunning Fog Index: 12.68), corresponding to a 12th-grade reading level. Reference Evaluation for artificial intelligence (#AI) identified 11.8% (383/3250) hallucinated references, while 88.2% (2867/3250) of references were real, with 95.1% (2724/2867) from authoritative sources (eg, government guidelines and the literature). The overall results about questions from #medical websites were consistent with the answers to Reddit questions. Conclusions: GPT-4 has serious potential as a #patient education tool for scars and keloids, offering reliable and accurate information. However, improvements in readability (to align with sixth to eighth grade standards) and reduction of reference hallucinations are essential to enhance accessibility and trustworthiness. Future large language model optimizations should prioritize simplifying #medical language and strengthening reference validation mechanisms to maximize clinical utility.

New JMIR MedInform: Evaluating GPT-4 Responses on Scars or Keloids for #patient Education: Large Language Model Evaluation Study

27.02.2026 22:11 — 👍 0    🔁 0    💬 0    📌 0
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The National Dental Practice-Based #Research Network Dental Implant Restoration Registry to Evaluate Dental Implant Outcomes in Community Practice Settings: #Protocol for a Prospective Observational #Study Background: Dental implants are a widely used therapeutic option for tooth replacement; however, biological and prosthetic complications may compromise implant success. While prior #Research has largely focused on academic or specialty settings, data on implant outcomes in community dental practices remain limited. Objective: This #Study aims to establish a national registry within the National Dental Practice-Based #Research Network to evaluate the incidence of and factors associated with biological and prosthetic complications following implant therapy in community practice settings. Methods: This prospective observational cohort #Study plans to include approximately 2000 implant restorations from 1550 patients receiving implant restorations from 150 practitioners across 6 regional network nodes. Clinical, implant, and prosthetic characteristics will be recorded at baseline, with annual follow-up visits collecting data on complications, implant failures, prosthetic issues, and patient-reported outcomes. Digitized radiographs will be centrally reviewed for peri-implant bone changes, emergence angle, and prosthetic fit. The primary outcome is the incidence of biological and prosthetic complications. Secondary analyses will evaluate patient-centered outcomes and identify risk factors for complications. Multilevel mixed-effects regression and time-to-event analyses will be used to account for clustering and censored data. Results: Of 430 practitioners who expressed initial interest, 187 (43.5%) completed training and began patient enrollment, with 143 (76.5%) of these practitioners enrolling at least one participant. A total of 1453 patients were registered between August 2022 and October 2024. Practitioner activity and enrollment peaked in late 2023. Overall, 1178 (81.1%) baseline patient surveys and 1453 (100%) baseline clinical forms were completed, covering 2087 dental implant restorations. Conclusions: The registry will generate robust, real-world evidence on implant-related complications and their predictors in community practice. The findings will enhance clinical decision-making; support personalized risk assessment; and, ultimately, improve patient outcomes in implant dentistry. International Registered Report Identifier (IRRID): DERR1-10.2196/82795

JMIR Res Protocols: The National Dental Practice-Based #Research Network Dental Implant Restoration Registry to Evaluate Dental Implant Outcomes in Community Practice Settings: #Protocol for a Prospective Observational #Study

27.02.2026 22:11 — 👍 0    🔁 0    💬 0    📌 0
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Machine Learning for the Analysis of Healthy Lifestyle Data: Scoping Review and Guidelines Background: Advances in data science and technology have transformed lifestyle research by enabling the integration of multimodal information and the generation of large-scale datasets. Despite the growing interest in machine learning (ML) within health behavior research, significant methodological gaps remain. Objective: The study aims to systematically review the applications of supervised ML algorithms in the analysis of healthy lifestyle data, with a particular focus on the methodological approaches used. The specific objectives are to explore the types and sources of data used for health outcomes, examine the ML processes used, including explainable artificial intelligence (XAI) methods, and review the software tools used. Additionally, this review aims to provide practical guidelines to enhance the quality and transparency of future ML research in health. Methods: Following the PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews) recommendations, the search was conducted across PubMed, PsycINFO, and Web of Science, yielding 65 studies that met the inclusion criteria. Results: Most studies (48/65, 74%) integrated multidomain data from physical activity, diet, sleep, and stress. Data sources were split between self-acquired data (33/65, 51%) and health repositories (32/65, 49%). Single-item measurements were common, particularly for physical activity, diet, and sleep. Although 40 of 65 studies used a multimodel approach, random forest was the most frequently applied algorithm. To improve explainability, 22 of 65 (33.84%) studies incorporated specific XAI methods, with 21 using Shapley Additive Explanation values and 1 using local interpretable model-agnostic explanations. R (R Core Team) and Python (Python Software Foundation) were the most widely used software tools, with variation in the libraries used. Conclusions: This review highlights methodological gaps in the application of supervised ML to healthy lifestyle data. The ML workflow should span from data acquisition to explainability, using iterative steps to improve methodological rigor. Although multidomain data collection enhances the understanding of health issues related to lifestyle, representativeness remains limited due to methodological shortcomings in data acquisition. While random forest was the most commonly used algorithm, a multimodel approach is recommended for a comprehensive comparison. Lifestyle components consistently ranked among the top features in studies integrating XAI. Incorporating XAI methods into the ML pipeline can support personalized interventions, provided data collection is accurate. The R metapackage (tidymodels; Max Kuhn and Hadley Wickham) facilitates process evaluation through unified syntax, improving replicability. Methodological and reporting guidelines and a checklist are provided to enhance transparency and replicability in multidisciplinary ML research. International Registered Report Identifier (IRRID): RR2-10.37766/inplasy2023.3.0065

JMIR HumanFactors: Machine Learning for the Analysis of Healthy Lifestyle Data: Scoping Review and Guidelines

27.02.2026 22:04 — 👍 1    🔁 0    💬 0    📌 0
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Machine Learning in Left Ventricular Hypertrophy Detection: Systematic Review and Meta-Analysis Background: In recent years, researchers have investigated machine learning (ML)–based approaches for the detection of left ventricular hypertrophy (LVH). However, the accuracy of ML in detecting LVH varies across different modeling variables and models. Systematic evidence is lacking in understanding how different ML approaches affect LVH detection accuracy. Objective: The aim of this study is to systematically assess the diagnostic accuracy of these ML approaches to inform the development of artificial intelligence tools. Methods: PubMed, Embase, Cochrane Library, and Web of Science were comprehensively searched up to November 12, 2025. The Prediction Model Risk of Bias Assessment Tool was used to evaluate the risk of bias. Subgroup analyses were performed based on ML model types and modeling variables (electrocardiogram [ECG], clinical features, and echocardiography). Only diagnostic 2×2 tables from validation sets were pooled for meta-analysis, with all statistical analyses performed using Stata. Results: A total of 25 studies were included in the analysis. The performance of ML models varied with input data types and algorithms. A meta-analysis showed that ECG-based models, in comparison, exhibited a sensitivity of 0.76 (95% CI 0.66‐0.84) and a specificity of 0.84 (95% CI 0.78‐0.89). Echocardiography-based models had a sensitivity ranging from 0.71 to 0.94 and a specificity ranging from 0.67 to 0.96. The models based on clinical features had a sensitivity of 0.78 (95% CI 0.69‐0.85) and a specificity of 0.71 (95% CI 0.65‐0.76). A subgroup analysis of the ECG-based models revealed that the deep learning model produced a sensitivity of 0.71 (95% CI 0.60‐0.80) and a specificity of 0.79 (95% CI 0.65‐0.88). Conclusions: ML demonstrates reasonably high accuracy in detecting LVH. However, these conclusions are derived from limited evidence. Meanwhile, the extreme heterogeneity reported in the meta-analysis requires more critical interpretation. Current conclusions regarding model accuracy should be interpreted with caution. Therefore, future research should focus on constructing high-performance ML models based on imaging data for LVH diagnosis.

Machine Learning in Left Ventricular Hypertrophy Detection: Systematic Review and Meta-Analysis

27.02.2026 22:03 — 👍 1    🔁 0    💬 0    📌 0
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Effects of Elastic Tape Associated With Pulmonary Rehabilitation in Male Individuals With Chronic Obstructive Pulmonary Disease: #Protocol for a 2-Arm, Assessor-Blinded #RCT #ClinicalTrial Background: Individuals with severe chronic obstructive pulmonary disease (COPD) may exhibit thoracoabdominal asynchrony, which reduces ventilatory efficiency. A novel intervention using elastic tape (ET) applied to the chest wall has been shown to acutely reduce thoracoabdominal asynchrony and dyspnea during exercise among individuals with COPD. We hypothesize that using ET in pulmonary rehabilitation (PR) may increase the benefits of PR in this population. Objective: This #Study aims to evaluate the additional effects of ET on exercise capacity, symptoms of anxiety and depression, health-related quality of life, and physical activity in daily life among male individuals with moderate to very severe COPD who are undergoing PR. Methods: This is a #Protocol for a randomized, controlled, 2-arm, parallel, blinded assessor clinical trial. Individuals will be followed for 8 weeks, twice a week, with PR sessions lasting approximately 1 hour. Health status (COPD Assessment Test), health-related quality of life (Chronic Respiratory Questionnaire), and psychological distress (Hospital Anxiety and Depression Scale) will be assessed before and after the intervention. Then, exercise capacity will be assessed via the incremental shuttle walking test and endurance shuttle walking test, and participants will use a triaxial accelerometer (ActiGraph) for 7 days to assess physical activity in daily life. Subsequently, individuals will be randomized into ET or sham groups; both groups will complete a PR program (2 times per week for 8 weeks). The ET group will receive applications of ET, whereas the sham group will receive a nonelastic tape. Data will be presented as means and SDs or medians and IQRs. Intergroup comparisons will be performed using a 2-way ANOVA, followed by the Bonferroni post hoc correction test, or the Kruskal-Wallis test, followed by the Dunn post hoc test. The threshold for statistical significance will be set at 5%. Results: The clinical trial registration was approved in June 2023. Recruitment and data collection for the trial are ongoing; as of November 2025, a total of 10 individuals have been recruited, and the results are expected to be available by the end of November 2026. Conclusions: We hypothesize that the use of ET can enhance the benefits of PR in individuals with moderate to very severe COPD and increase exercise capacity and quality of life, as well as reduce symptoms of anxiety and depression. Trial Registration: ClinicalTrials.gov NCT05939999; https://clinicaltrials.gov/#Study/NCT05939999 International Registered Report Identifier (IRRID): DERR1-10.2196/75029

JMIR Res Protocols: Effects of Elastic Tape Associated With Pulmonary Rehabilitation in Male Individuals With Chronic Obstructive Pulmonary Disease: #Protocol for a 2-Arm, Assessor-Blinded #RCT #ClinicalTrial

27.02.2026 21:58 — 👍 0    🔁 0    💬 0    📌 0
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Differentiating the #covid19 Infection and Vaccine Experiences of Patients With Systemic, Single Organ, and Overlap Immune-Mediated Inflammatory Disease: #Protocol for a Secondary Analysis for Enhancing #covid19 Vaccine Pharmacovigilance Background: Patients with immune-mediated inflammatory disease (IMID), including autoimmunity, fared substantially worse than the general population during the #covid19 pandemic, both in terms of infection outcomes and disruption to daily life. Despite this, #covid19 vaccine uptake has not been universal in this population. The absence of patients with IMID from clinical trials and the subsequent lack of precision in vaccine safety profiling have resulted in vaccine hesitancy in this high-risk group. Objective: This #Protocol sets out an investigation that aims to address this by enhancing #covid19 vaccine pharmacovigilance for patients with IMID. Combining the international data and knowledge assets of the #covid19 Vaccination in Autoimmune Diseases (COVAD) 1 #Study and the electronic Delphi #Study to Define and Risk-Stratify Immunosuppression (DESTINIES), the objective is to differentiate patient-reported #covid19 infection and vaccine outcomes between participants with systemic, single organ, and overlap IMID and general population controls. Methods: The COVAD-1 #Study successfully collected anonymized data on the demographic, health, #covid19 infection, and #covid19 vaccination outcomes of a broad range of participants with IMID between March and December 2021. This #Protocol expands on this initial analysis by using IMID specialists within the DESTINIES Consortium to allocate survey respondents into single organ and systemic categories and thereby produce comparative vaccine benefit-risk profiles between these and general population controls. Because of the respondents’ ability to self-report multiple diagnoses, an overlap group was introduced for those affected by both single organ and systemic disease. Descriptive statistics and both single and multivariable logistic regressions will be used to test for significant differences in #covid19 infection rates, severity, duration, and vaccine side effects between these #Study groups and general population controls. Results: A panel of 7 IMID experts successfully allocated COVAD-1 diagnoses into single organ and systemic categories; this also directed overlap category membership. Although this work is preliminary and highly exploratory, we anticipate that subsequent analysis will reveal disproportionate levels of severe #covid19 infection outcomes (hospitalization with and without oxygen support) and vaccine side effects (mild and major) among participants with systemic manifestations of IMID, especially those that qualify for the overlap IMID category. Conclusions: Advocating for direct-to-patient vaccine reporting pathways, this #Study intends to produce more precise vaccine safety profiles of patients with IMID. It seeks to resolve current gaps in pharmacovigilance and potentially remedy vaccine hesitancy in high-risk groups by doing so. The international nature of COVAD-1 data collection and the nuance of information made available through participant self-report are to the advantage of this #Protocol. However, the dependence of this #Study on participant recall, the small sample sizes handled, and the questionable relevance of these data in the contemporary Omicron era are to the detriment of this work.

JMIR Res Protocols: Differentiating the #covid19 Infection and Vaccine Experiences of Patients With Systemic, Single Organ, and Overlap Immune-Mediated Inflammatory Disease: #Protocol for a Secondary Analysis for Enhancing #covid19 Vaccine Pharmacovigilance

27.02.2026 21:44 — 👍 0    🔁 0    💬 0    📌 0
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Designing an Indicator‑Driven, Value‑Based Architecture for Pneumonia Prevention in Japan: A Formative Policy Viewpoint on Adult Vaccination and Oral Care Japan's aging society concentrates pneumonia burden across communities, long‑term care, perioperative pathways, and hospitals. Adult pneumococcal and influenza vaccination are supported by trials and meta‑analyses and are often cost‑effective; yet, realized value depends on targeting, measurement, financing, and pairing with bedside prevention such as oral care and hospital‑acquired pneumonia bundles. This viewpoint proposes a formative, indicator‑driven architecture linking cost‑effectiveness to operations by aligning vaccination with complementary oral‑care prevention and value‑based payment under the existing policy infrastructure. Working within the Ministry of Health, Labour and Welfare/Central Social Insurance Medical Council health technology assessment framework, Center for Outcomes Research and Economic Evaluation for Health methods, and claims–electronic health record linkage via My Number insurance card, we specify a compact national indicator set: vaccination coverage and timeliness, nonventilator hospital‑acquired pneumonia, ventilator‑associated pneumonia, postoperative and stroke‑associated pneumonia, antibiotic days of therapy, and length of stay, with pragmatic risk adjustment and present‑on‑admission flags. Value levers first reward reliable reporting and adherence to evidence‑based bundles and then share verified, risk‑adjusted savings. Long‑term care facilities receive add‑ons for professional oral care in high‑risk residents; hospitals receive quality add‑ons and shared savings; perioperative pathways may incorporate oral health management; and stroke units standardize oral hygiene with dysphagia screening. A phased roadmap details the pilot co‑design, governance, risk‑adjusted reporting with equity safeguards, and iterative recalibration by using real‑world evidence. The learning loop—measure, report, improve, generate evidence, adapt cost‑effectiveness, recalibrate payment—converts modeled value into lived experience: fewer pneumonias, reduced antibiotic exposure, shorter stays, improved function, and dignity at favorable or potentially lower costs, context-depending on baseline pneumonia rates, implementation fidelity, and local unit costs.

JMIR Formative Res: Designing an Indicator‑Driven, Value‑Based Architecture for Pneumonia Prevention in Japan: A Formative Policy Viewpoint on Adult Vaccination and Oral Care #PneumoniaPrevention #AdultVaccination #ValueBasedCare #HealthPolicy #JapanHealthcare

27.02.2026 21:36 — 👍 0    🔁 0    💬 0    📌 0
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Digital Health Interventions to Promote Physical Activity Among Adolescents: Systematic Review Background: Insufficient physical activity among adolescents is a major global public health concern. Digital health interventions (DHIs) have gained increasing attention as a promising approach to promoting physical activity in adolescents. However, existing systematic reviews predominantly focus on single-intervention formats or specific study designs, while reviews that integrate multiple DHIs and diverse study designs remain scarce. Objective: This systematic review aims to synthesize evidence from diverse DHIs and multiple study designs to assess their effectiveness in promoting physical activity among adolescents. Methods: The review protocol was registered in PROSPERO (International Prospective Register of Systematic Reviews; CRD420251117923). This systematic review searched literature published between January 1, 2014, and June 30, 2025, across Web of Science, PubMed, EBSCO, Scopus, Embase, the Cochrane Library, ProQuest, and Google Scholar. The final search was completed on August 3, 2025. Using the PICOS (population, intervention, comparator, outcomes, and study design) framework, the review included adolescents aged 10-19 years and focused on evidence-based research promoting physical activity through DHIs. The review was limited to peer-reviewed English-language literature and excluded studies solely focused on measurement tools, those not evaluating intervention effectiveness, or those not involving adolescents. Two reviewers independently screened studies and extracted data. Research quality was assessed using the Joanna Briggs Institute tool. Findings were synthesized through narrative synthesis and qualitative content analysis. Results: A total of 24 studies were included, involving approximately 12,183 adolescents. Study designs comprised 10 randomized controlled trials, 4 quasi-experimental studies, 3 quantitative research studies, 3 cross-sectional studies, and 4 mixed methods studies. Overall, 7 (29%) studies were of high quality, 16 (67%) were of moderate quality, and 1 (4%) was of low quality. Study populations included general adolescents as well as subgroups with specific health risks: insufficient physical activity (1/24, 4%), obesity or overweight (4/24, 17%), attention-deficit/hyperactivity disorder (1/24, 4%), cancer survivors (1/24, 4%), and at-risk youth (1/24, 4%). DHIs were categorized into 3 types: single-driver interventions (14/24, 58%), multimodal integrated interventions (7/24, 29%), and interaction-enhanced interventions (3/24, 13%). Most studies reported positive outcomes, including direct effectiveness (15/24, 63%), indirect effectiveness (8/24, 33%), and unclear effectiveness (1/24, 4%). Conclusions: This systematic review synthesizes evidence from diverse research designs and multiple types of DHIs, offering a more comprehensive perspective than previous reviews focused on single designs or technological formats. The results indicate that DHIs generally enhance adolescent physical activity levels, although their effectiveness varies considerably across intervention types and study designs. The review fills key research gaps and highlights the critical role of intervention adaptability and implementation context. It also addresses practical concerns, including adolescents with special health conditions, digital health inequalities, and technology dependency. Despite limitations related to methodological quality and insufficient follow-up, this review provides important evidence to inform practical application, policy development, and the equitable promotion of DHIs to enhance adolescent physical activity. Against the backdrop of rising global adolescent physical inactivity and widening health disparities, it also outlines directions for future high-quality research. Trial Registration: PROSPERO CRD420251117923; https://www.crd.york.ac.uk/PROSPERO/view/CRD420251117923

Digital Health Interventions to Promote Physical Activity Among Adolescents: Systematic Review

27.02.2026 21:32 — 👍 0    🔁 0    💬 0    📌 0