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Background: Telemedicine is developing rapidly, presenting new opportunities and challenges for physicians and patients. Limited research has examined physicians' behavior during the process of adopting telemedicine and related factors.
Objective: This study aimed to identify perceived barriers and enablers of physicians' adoption of telemedicine and to develop intervention strategies.
Methods: Three interlinked frameworks, the Theoretical Domains Framework (TDF), the Behavior Change Wheel (BCW), and behavior change techniques (BCTs), were used sequentially to identify the factors for physicians' telemedicine adoption and to develop intervention strategies. First, guided by the TDF, a questionnaire was developed and administered in interviews with 36 physicians from 29 different medical institutions in Beijing. Second, the content of the semistructured physician interviews was analyzed using the software NVivo 12.0 to extract themes under each domain. Each theme was then classified as either a barrier or an enabler based on the physicians' language and expression. Third, following the established relationships in the literature, we mapped each domain in the TDF to the corresponding intervention functions and policy categories within BCW. Fourth, for each identified intervention function, we further identified the associated BCTs using the standardized mappings reported in previous studies. The process of identifying intervention functions, policy categories, and techniques was guided by the APEASE (acceptability, practicability, effectiveness, affordability, spill-over effects, and equity) criteria. Last, potential implementation strategies were proposed via focus group discussion.
Results: We identified 50 themes in relation to the adoption of telemedicine. These comprised 27 barriers and 23 enablers, ranging from administrative issues to specific clinical conditions. Of the 14 TDF domains, 11 domains were mentioned. The most frequently mentioned domains were environmental context and resources (10 themes), beliefs about consequences (9 themes), and emotion (7 themes). Major barriers comprised limited acceptance among senior physicians, inconsistent system performance, inadequate platform usability, and inadequate medical insurance coverage. Key enablers included sufficient communication skills and proficiency in system operations, together with the conviction that telemedicine may assist patients with resolving medical issues and prompt support from the IT department when challenges arise. Additionally, 7 of 9 intervention functions, 6 of 7 policy categories, and 26 of 93 BCTs were selected for each theme. Finally, we proposed several potential implementation strategies to enhance physician adoption of telemedicine.
Conclusions: This study identified a range of interventions and strategies that could improve telemedicine adoption in this context. Implementing these measures requires efforts from health administrative departments, medical institutions, and health care personnel.
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http://dx.doi.org/10.2196/73412 | DOI Listing |
BMC Geriatr
September 2025
Department of Neurobiology, Care Sciences and Society, Division of Nursing, Karolinska Institutet, Stockholm, Sweden.
Background: The benefits of physical activity for frail older acutely hospitalized adults are becoming increasingly clear. To enhance opportunities for physical activity on geriatric wards, it is essential to understand the older adult's perspective.
Aim: The aim of the study was to explore the experiences and perceptions of physical activity among older adults during hospital stays on a geriatric ward.
J Aging Phys Act
September 2025
Occupational Therapy Department, Monash University, Frankston, VIC, Australia.
Background/objective: Adherence rates to supervised gym-based exercise programs traditionally decline over time, highlighting the need to understand participants' perceptions regarding barriers and facilitators to long-term participation. To explore the experiences of people with one or more chronic conditions participating in an ongoing, supervised, gym-based exercise program in regional Australia.
Method: Semistructured interviews were completed with 40 participants and were analyzed thematically using a descriptive qualitative approach.
J Allergy Clin Immunol
September 2025
University of Groningen, University Medical Center Groningen, Beatrix Children's Hospital, Department of Pediatric Pulmonology and Pediatric Allergology, Groningen, the Netherlands; University of Groningen, University Medical Center Groningen, Groningen Research Institute for Asthma and COPD (GRIAC)
Artificial intelligence (AI) is increasingly recognized for its capacity to transform medicine. While publications applying AI in allergy and immunology have increased, clinical implementation substantially lags behind other specialties. By mid-2024, over 1,000 FDA-approved AI-enabled medical devices existed, but none specifically addressed allergy and immunology.
View Article and Find Full Text PDFJ Control Release
September 2025
Laboratory of Precision and Nanomedicine, Institute of Biomedicine and Translational Medicine, University of Tartu, Ravila 14b, 50411 Tartu, Estonia; Materials Research Laboratory, University of California, Santa Barbara, CA 93106, USA. Electronic address:
Most chemotherapeutics distribute non-specifically throughout the body, resulting in off-target toxicities. Nanoparticle (NP) formulations provide a strategy to improve drug delivery by extending circulation time, protecting therapeutic agents from degradation, and enabling controlled release. However, delivering NPs effectively to solid tumors remains challenging due to the barriers within the tumor microenvironment.
View Article and Find Full Text PDFInt J Med Inform
September 2025
Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, USA; Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA. Electronic address:
Background: Identifying patient-specific barriers to statin therapy, such as intolerance or deferral, from clinical notes is a major challenge for improving cardiovascular care. Automating this process could enable targeted interventions and improve clinical decision support (CDS).
Objective: To develop and evaluate a novel hybrid artificial intelligence (AI) framework for accurately and efficiently extracting information on statin therapy barriers from large volumes of clinical notes.