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Health Coaching and Its Impact in the Remote Management of Patients With Type 2 Diabetes Mellitus: Scoping Review of the Literature

Health Coaching and Its Impact in the Remote Management of Patients With Type 2 Diabetes Mellitus: Scoping Review of the Literature

Studies that reported clinical outcomes. a NCM: nurse care manager. b BG: blood glucose. c BP: blood pressure. d Not applicable. e FPG: fasting plasma glucose. f SBP: systolic blood pressure. g DBP: diastolic blood pressure. h T2 DM: type 2 diabetes mellitus. i SMBG: self-monitoring blood glucose. je GFR: estimated glomerular filtration rate. k TG: triglyceride. l HDL: high-density lipoprotein. m LDL: low-density lipoprotein. n IG: intervention group. o CG: control group. p PCP: primary care physician. q RDN: registered dietitian

Jun Jie Benjamin Seng, Hosea Nyanavoli, Glenn Moses Decruz, Yu Heng Kwan, Lian Leng Low

J Med Internet Res 2025;27:e60703

Clinical, Psychological, Physiological, and Technical Parameters and Their Relationship With Digital Tool Use During Cardiac Rehabilitation: Comparison and Correlation Study

Clinical, Psychological, Physiological, and Technical Parameters and Their Relationship With Digital Tool Use During Cardiac Rehabilitation: Comparison and Correlation Study

Pain-related items were more important in the group without digital tools (item 14 and item 17), although high scores of item 14 represent low adherence, while high scores for item 17 relate to high adherence. The overall EARs score showed no significant difference between the patients without (11.80 [2.7]) and patients with (12.80 [2.79]) digital tools (P=.5). No significant correlation between the overall score and ΔPmax was found (P=.21, r=0.07).

Fabian Wiesmüller, David Haag, Mahdi Sareban, Karl Mayr, Norbert Mürzl, Michael Porodko, Christoph Puelacher, Lisa-Marie Moser, Marco Philippi, Heimo Traninger, Stefan Höfer, Josef Niebauer, Günter Schreier, Dieter Hayn

JMIR Mhealth Uhealth 2025;13:e57413

Choosing the Best Digital Health Literacy Measure for Research: Mixed Methods Study

Choosing the Best Digital Health Literacy Measure for Research: Mixed Methods Study

However, these measures have been criticized for being time-consuming in clinical settings [9], failing to fully cover HL concepts, and potentially causing shame and stigma among individuals with low literacy levels [8,10]. These tests are typically administered face-to-face. By contrast, measuring HL at the population level can help identify vulnerable groups, design targeted initiatives, address inequalities, and evaluate the success of interventions [8].

Charlotte Brun Thorup, Mika Uitto, Kerryn Butler-Henderson, Sarah Wamala-Andersson, Merja Hoffrén-Mikkola, Diana Schack Thoft, Lisa Korsbakke Emtekær Hæsum, Gabriela Irrazabal, Laura Pruneda González, Katja Valkama

J Med Internet Res 2025;27:e59807

Racial Disparities in Parkinson Disease Clinical Phenotype, Management, and Genetics: Protocol for a Prospective Observational Study

Racial Disparities in Parkinson Disease Clinical Phenotype, Management, and Genetics: Protocol for a Prospective Observational Study

This low-risk study does not present a greater risk to potentially vulnerable populations. Given the short duration of this study (1 study visit), it is not expected that significant cognitive decline will occur throughout the study to impact a participant’s ability to provide ongoing consent. Participants unable to achieve a passing score on the Evaluation to Sign Consent will be excluded unless a LAR is present to provide consent.

Deborah A Hall, Josh M Shulman, Andrew Singleton, Sara Bandres Ciga, Michelle Hyczy S Tosin, Bichun Ouyang, Lisa Shulman

JMIR Res Protoc 2025;14:e60587

Public Awareness of and Attitudes Toward the Use of AI in Pathology Research and Practice: Mixed Methods Study

Public Awareness of and Attitudes Toward the Use of AI in Pathology Research and Practice: Mixed Methods Study

Awareness of AI being developed for use in diagnostic pathology was very low, with 43.21% (656/1518) of respondents being not at all aware and only 10.28% (156/1518) being moderately or extremely aware. However, the respondents held positive beliefs about the future implementation of AI in cancer diagnosis and management.

Claire Lewis, Jenny Groarke, Lisa Graham-Wisener, Jacqueline James

J Med Internet Res 2025;27:e59591

Home-Based Nonimmersive Virtual Reality Training After Discharge From Inpatient or Outpatient Stroke Rehabilitation: Parallel  Feasibility Randomized Controlled Trial

Home-Based Nonimmersive Virtual Reality Training After Discharge From Inpatient or Outpatient Stroke Rehabilitation: Parallel Feasibility Randomized Controlled Trial

Other studies on telerehabilitation after stroke with exercises performed in standing also found low rates of adverse events [17,62,66]. A Cochrane review reported no serious trial-related adverse effects using telerehabilitation after stroke [20]. The use of a reliable study partner is suggested to mitigate the risk of falls or injuries, as well as help with the technology [17]. There were no differences between groups for the physical and life participation outcome measures.

Lisa Sheehy, Anne Taillon-Hobson, Heidi Sveistrup, Martin Bilodeau, Christine Yang, Vivian Welch, Hillel Finestone

JMIR Rehabil Assist Technol 2025;12:e64729

Clinicians’ Perceptions and Potential Applications of Robotics for Task Automation in Critical Care: Qualitative Study

Clinicians’ Perceptions and Potential Applications of Robotics for Task Automation in Critical Care: Qualitative Study

High-frequency, low-complexity tasks such as responding to the nurse call button and performing glucose checks were favored for robotic automation. This suggests that clinicians are interested in leveraging robotic technology to reduce the burden of basic tasks, potentially increasing efficiency and allowing them to focus on more patient-centric care. On the other hand, tasks requiring higher clinical judgment, such as adjusting ventilator settings, were not as highly prioritized for robotic assistance.

Jiafeng Song, Rishika Iytha Sridhar, Darlene Marie Rogers, Cheryl Hiddleson, Carolyn Davis, Tina Lynn Holden, Shanna Ramsey-Haynes, Lisa Reif, Julie Swann, Craig S Jabaley, Mary Gullatte, Rishikesan Kamaleswaran

J Med Internet Res 2025;27:e62957