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Stressors Disclosed on Reddit by Caregivers of Older Adults and Social Support Received: Content Analysis

Stressors Disclosed on Reddit by Caregivers of Older Adults and Social Support Received: Content Analysis

Practically, the findings of this study can inform social workers and public health practitioners about strategies to meet the needs of informal caregivers of older adults. First, it can inform social workers and public health practitioners regarding the development of targeted interventions to address caregivers’ various stressors.

Nova Mengxia Huang, Bryan Timothy, Shirley S Ho

JMIR Aging 2025;8:e71452


Quality and Reliability of Adolescent Sexuality Education on Chinese Video Platforms: Sentiment-Topic Analysis and Cross-Sectional Study

Quality and Reliability of Adolescent Sexuality Education on Chinese Video Platforms: Sentiment-Topic Analysis and Cross-Sectional Study

Furthermore, the originators of the content were classified into four source types: (1) individual media (persons operating independently), (2) institutional media (entities, such as official bodies or established media companies), (3) physician (inclusive of psychologists, practitioners of modern medicine, and practitioners of traditional Chinese medicine), and (4) educator.

Lan Wang, Xiantao Shu, Jianmei Huang, Weiqian Yan, Duo Zhao

JMIR Form Res 2025;9:e77100


Association of Qualified Clinical Data Registry Clinician Dashboard Engagement With Performance on Quality-of-Care Measures: Cross-Sectional Analysis

Association of Qualified Clinical Data Registry Clinician Dashboard Engagement With Performance on Quality-of-Care Measures: Cross-Sectional Analysis

The number of rheumatologists was derived by linking providers’ National Provider Identifiers to the publicly available “Medicare Physician & Other Practitioners—by Provider Service” file to identify clinicians’ degrees and specialties [25]. Descriptive statistics were used to summarize the characteristics of the practices and quality measures included in the study.

Emma Kersey, Jing Li, Julia Adler-Milstein, Jinoos Yazdany, Stephen Shiboski, Gabriela Schmajuk

J Med Internet Res 2025;27:e72709


Analyzing Health Care Professionals’ Resilience and Emotional Responses to COVID-19 via Twitter: Retrospective Cohort and Matched Comparison Group Study

Analyzing Health Care Professionals’ Resilience and Emotional Responses to COVID-19 via Twitter: Retrospective Cohort and Matched Comparison Group Study

Health care practitioners and non–health care practitioners demographicsa. a After matching, the 2 samples were not significantly different along these variables. b HCPs: health care professionals. c N/A: not applicable. Figures 1 and 2 depict average emotion scores for the study populations during the study timeline.

Noa Tal, Idan-Chaim Cohen, Aviad Elyashar, Nir Grinberg, Rami Puzis, Odeya Cohen

J Med Internet Res 2025;27:e72521


Telehealth Acceptance and Perceived Barriers Among Health Professionals: Pre-Post Evaluation of a Web-Based Telehealth Course

Telehealth Acceptance and Perceived Barriers Among Health Professionals: Pre-Post Evaluation of a Web-Based Telehealth Course

Those have been demonstrated to improve confidence and proficiency in telehealth among practitioners [7]. However, existing telehealth training programs often are either not specifically developed for certain professions or fail to address all the unique capabilities required for remote care delivery [8]. This limitation may hinder the effective adoption of telehealth practices.

Lena Rettinger, Lukas Maul, Peter Putz, Veronika Ertelt-Bach, Andreas Huber, Susanne Maria Javorszky, Elisabeth Kupka-Klepsch, Sevan Sargis, Franz Werner, Klaus Widhalm, Rosmarie Joseph, Stefanie Doci, Sebastian Kuhn

JMIR Hum Factors 2025;12:e74107


Assessing and Improving Study Skills Support in Medical Education Through a Student-Staff Partnership: Mixed Methods Approach

Assessing and Improving Study Skills Support in Medical Education Through a Student-Staff Partnership: Mixed Methods Approach

In the dynamic realm of modern medicine, the need for practitioners to be self-regulated, lifelong learners is imperative if they are to keep up with ever-evolving medical knowledge [1]. In White et al’s evidence-based model [2], self-regulated learning (SRL) is composed of a set of learnable skills: “planning, learning, assessment, and adjustment,” acquisition of which can be facilitated by educators.

Nicole Tay, Anaïs Deere, Dhivya Ilangovan, Carys F E Phillips, Emma Kelley

JMIR Med Educ 2025;11:e65053


Resident Preferences for Telemedicine Services in China in the Digital Health Era: Mixed Methods Study

Resident Preferences for Telemedicine Services in China in the Digital Health Era: Mixed Methods Study

The Diverse Service–Oriented segment—composed predominantly of older, less‑educated, and rural residents—exhibits lower baseline expectations for specialist credentials but places a high premium on ease of use and basic accessibility; for these users, platforms must prioritize streamlined interfaces, large‑font displays, and one-click workflows to reduce cognitive and operational barriers, while ensuring that a core cadre of qualified general practitioners is always available to build trust.

Maomin Jiang, Jian Zhao, Ranran Zhao, Jialiang Feng, Manli Gu, Meifang Yang, Zengming Ma

J Med Internet Res 2025;27:e67390


Evolving Medical Students’ Digital Health Perceptions and Intentions: Insights From a Prepandemic and Postpandemic Survey Study

Evolving Medical Students’ Digital Health Perceptions and Intentions: Insights From a Prepandemic and Postpandemic Survey Study

Future research could explore the tipping point at which the use of d Health technologies overwhelms medical practitioners, adversely affecting their performance. Additionally, investigating how AI shapes the use of evidence-based medicine presents another promising avenue for future research. Another limitation of this study relates to the content validity of the measure of the Experimentation with d Health technologies and the Importance of d Health in the medical curriculum constructs.

Mickaël Ringeval, Louis Raymond, Marie-Pascale Pomey, Guy Paré

J Med Internet Res 2025;27:e64804


Lung Cancer Diagnosis From Computed Tomography Images Using Deep Learning Algorithms With Random Pixel Swap Data Augmentation: Algorithm Development and Validation Study

Lung Cancer Diagnosis From Computed Tomography Images Using Deep Learning Algorithms With Random Pixel Swap Data Augmentation: Algorithm Development and Validation Study

The subjective nature of image interpretation introduces variability in diagnostic accuracy among practitioners, which can result in false-positive identification of pulmonary nodules. Such errors may prompt unnecessary invasive procedures for confirmation, exposing patients to avoidable risks and health care systems to additional costs [13].

Ayomide Adeyemi Abe, Mpumelelo Nyathi

JMIR Bioinform Biotech 2025;6:e68848


Efficacy of a Multimodal Ayurveda Regimen in the Management of Primary Knee Osteoarthritis: Protocol for an Open-Label Randomized Controlled Trial

Efficacy of a Multimodal Ayurveda Regimen in the Management of Primary Knee Osteoarthritis: Protocol for an Open-Label Randomized Controlled Trial

Ayurveda practitioners on the research team dispensed the Ayurveda interventions at the study sites throughout the trial period. Furthermore, paramedical staff trained in Panchakarma administered Matra Basti and Janu Basti to the study participants in the Ayurveda group. The participants were examined every 30 days during the study period. The trial Ayurveda interventions were procured from the Indian Medicines Pharmaceutical Corporation Limited, Ministry of Ayush, Government of India.

Amit Kumar Rai, Babita Yadav, Uma Kumar, Bharti Gupta, Kishore Patel, Shruti Khanduri, Bhagwan S Sharma, Richa Singhal, Bhogavalli Chandrasekhararao, Narayanam Srikanth, Rabinarayan Acharya

JMIR Res Protoc 2025;14:e68306