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Patient and Clinician Perspectives on the Effectiveness of Current Telemedicine Approaches in Endocrinology Care for Type 2 Diabetes: Qualitative Study

Diabetes specialty care clinicians were recruited via direct email outreach in June 2023. All 44 clinicians targeted for recruitment worked in adult endocrinology clinics. Patient participants were recruited from respondents to a previous survey study about telemedicine for T2 D conducted between August 2022 and March 2023.

Margaret Zupa, Megan Hamm, Lane Alexander, Ann-Marie Rosland

JMIR Diabetes 2025;10:e60765

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Good-Quality mHealth Apps for Endometriosis Care: Systematic Search

There is a need to systematically evaluate endometriosis m Health apps to inform the endometriosis community and clinicians about the advantages and disadvantages of those currently available using validated and standardized tools [9,19]. Therefore, the aim of this study was to conduct a systematic search of m Health apps that support endometriosis care to evaluate the quality and recommend those apps that meet specific quality metrics to the endometriosis community and clinicians.

Diksha Sirohi, Cecilia HM Ng, Niranjan Bidargaddi, Helen Slater, Melissa Parker, M Louise Hull, Rebecca O'Hara

J Med Internet Res 2025;27:e49654

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Enhancing Health Equity and Patient Engagement in Diabetes Care: Technology-Aided Continuous Glucose Monitoring Pilot Implementation Project

This real-time data help patients and clinicians to make decisions about identifying appropriate drugs for intervention and adjusting drug therapy. The patient can also make changes in lifestyle or dietary choices based on monitoring information. These interventions by clinician and patient can lead to better diabetes management [14-16]. Evidence suggests that an underserved population could benefit from digital technologies like CGM.

Madhur Thakur, Eric W Maurer, Kim Ngan Tran, Anthony Tholkes, Sripriya Rajamani, Roli Dwivedi

JMIR Diabetes 2025;10:e68324

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Addressing the “Black Hole” of Low Back Pain Care With Clinical Decision Support: User-Centered Design and Initial Usability Study

This feature enables clinicians to confirm data accuracy and determine whether the interview and examination data align with the overall clinical presentation. The ability to remove or reject working diagnoses for which there is little evidence in favor of others supported by stronger evidence can assist in prioritizing care.

Robert S Rudin, Patricia M Herman, Robert Vining

JMIR Form Res 2025;9:e66666

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Identifying Preferred Features of Influenza Vaccination Programs Among Chinese Clinicians Practicing Traditional Chinese Medicine and Western Medicine: Discrete Choice Experiment

For example, workplaces did not require or encourage clinicians to get vaccinated before the flu season. Most importantly, previous studies have primarily treated Chinese clinicians as practitioners of modern medicine, overlooking the significant presence of clinicians practicing traditional Chinese medicine (TCM) in China [7,10].

Liuren Zhang, Linchen Chu, Maria E Sundaram, Yi Zhou, Xiu Sun, Zheng Wei, Chuanxi Fu

JMIR Public Health Surveill 2025;11:e63314

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Informal Caregivers Connecting on the Web: Content Analysis of Posts on Discussion Forums

clinicians

Michelle L Foster, Chinenye Egwuonwu, Erin Vernon, Mohammad Alarifi, M Courtney Hughes

JMIR Form Res 2025;9:e64757

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Spread and Scale of the Integrated Nutrition Pathway for Acute Care Across Canada: Protocol for the Advancing Malnutrition Care Program

Specifically, the evidence-informed and consensus-based Integrated Nutrition Pathway for Acute Care (INPAC) was developed to support clinicians with addressing nutrition-related gaps in care [21].

Katherine L Ford, Celia Laur, Rupinder Dhaliwal, Roseann Nasser, Leah Gramlich, Johane P Allard, Heather Keller, AMC Core Team

JMIR Res Protoc 2024;13:e62764

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Pulmonary and Physical Virtual Reality Exercises for Patients With Blunt Chest Trauma: Randomized Clinical Trial

clinicians

Tjitske D Groenveld, Indy GM Smits, Naomi Scholten, Marjan de Vries, Harry van Goor, Vincent MA Stirler

JMIR Serious Games 2024;12:e54389

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Human Factors, Human-Centered Design, and Usability of Sensor-Based Digital Health Technologies: Scoping Review

Implementation of s DHTs requires interactions across the hardware containing the sensor or sensors, the software that is used to convert sensor data to health-related measures, and the users (who could be consumers, patients, clinicians, and more) who interact at one or more stages of data capture. Given this complexity and the increasing use of s DHTs, defining and understanding best practices for human factors, human-centered design, and usability (defined in Textbox 1) of s DHTs is a critical need.

Animesh Tandon, Bryan Cobb, Jacob Centra, Elena Izmailova, Nikolay V Manyakov, Samantha McClenahan, Smit Patel, Emre Sezgin, Srinivasan Vairavan, Bernard Vrijens, Jessie P Bakker, Digital Health Measurement Collaborative Community (DATAcc) hosted by DiMe