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Health Care Professionals' Engagement With Digital Mental Health Interventions in the United Kingdom and China: Mixed Methods Study on Engagement Factors and Design Implications

Health Care Professionals' Engagement With Digital Mental Health Interventions in the United Kingdom and China: Mixed Methods Study on Engagement Factors and Design Implications

Many recent reviews have shown that low engagement is a ubiquitous problem among DMHIs [17-19]. Plus, user engagement is considerably lower in naturalistic settings than in empirical studies [19-21]. To illustrate this, a review of 59 off-the-shelf mental health apps reported a median uptake rate of 4.0% and a 15-day retention rate of only 3.9% [22].

Zheyuan Zhang, Sijin Sun, Laura Moradbakhti, Andrew Hall, Celine Mougenot, Juan Chen, Rafael A Calvo

JMIR Ment Health 2025;12:e67190

Patient and Clinician Perspectives on Alert-Based Remote Monitoring–First Care for Cardiovascular Implantable Electronic Devices: Semistructured Interview Study Within the Veterans Health Administration

Patient and Clinician Perspectives on Alert-Based Remote Monitoring–First Care for Cardiovascular Implantable Electronic Devices: Semistructured Interview Study Within the Veterans Health Administration

RM involves sending CIED data from a patient’s residence via a transmitter or smartphone app. Routine transmissions are usually sent every 90 days and can also be patient- or alert-initiated. RM is a Class 1, Level of Evidence A, professional society recommendation because of its many clinical outcome benefits [1,2]. These include reduced mortality [3-5], fewer hospitalizations [3,6], fewer inappropriate ICD shocks [7], as well as high patient satisfaction [8].

Allison Kratka, Thomas L Rotering, Scott Munson, Merritt H Raitt, Mary A Whooley, Sanket S Dhruva

JMIR Cardio 2025;9:e66215

Using a Hybrid of AI and Template-Based Method in Automatic Item Generation to Create Multiple-Choice Questions in Medical Education: Hybrid AIG

Using a Hybrid of AI and Template-Based Method in Automatic Item Generation to Create Multiple-Choice Questions in Medical Education: Hybrid AIG

This laborious process, which demands expertise and resources, faces a bottleneck in scaling up to meet the demand for a vast quantity of quality items. The challenge is particularly pronounced in medical education, where only a progress test administration in a year requires having 2400 multiple-choice items [2], showing the inefficiency of traditional methods in satisfying the needs of question banks in medical schools.

Yavuz Selim Kıyak, Andrzej A Kononowicz

JMIR Form Res 2025;9:e65726

Virtual Patients Using Large Language Models: Scalable, Contextualized Simulation of Clinician-Patient Dialogue With Feedback

Virtual Patients Using Large Language Models: Scalable, Contextualized Simulation of Clinician-Patient Dialogue With Feedback

We iteratively and rigorously engineered detailed “prompts” guiding GPT to emulate a diagnosis-focused or management-focused VP and provide feedback. To instantiate a specific VP, the interface accesses a 1-page case description. Narrative S1 in Multimedia Appendix 1 reports the full prompt and 1 case description. We selected as topics 2 common problems in ambulatory medicine: chronic cough (a diagnostic task) and diabetes (a management task).

David A Cook, Joshua Overgaard, V Shane Pankratz, Guilherme Del Fiol, Chris A Aakre

J Med Internet Res 2025;27:e68486

Environmental Impact of Physical Visits and Telemedicine in Nursing Care at Home: Comparative Life Cycle Assessment

Environmental Impact of Physical Visits and Telemedicine in Nursing Care at Home: Comparative Life Cycle Assessment

Telemedicine is often considered to be a promising solution for sustainable health care delivery as multiple reviews reported a reduction in travel-related emissions [9,10]. Savings were typically setting dependent and ranged anywhere between 0.7 and 372 kg of carbon dioxide equivalents (kg CO2eq) per consultation [10].

Egid M van Bree, Lynn E Snijder, Hans C Ossebaard, Evelyn A Brakema

J Med Internet Res 2025;27:e67538

Assessing the Noninferiority of a Rhythm and Language Training Serious Game Combined With Speech Therapy Versus Speech Therapy Care for Children With Dyslexia: Protocol for an Investigator-Blinded Randomized Controlled Trial

Assessing the Noninferiority of a Rhythm and Language Training Serious Game Combined With Speech Therapy Versus Speech Therapy Care for Children With Dyslexia: Protocol for an Investigator-Blinded Randomized Controlled Trial

It is crucial to evaluate the impact of a technology compared with its cost [27]. In addition, the impact of a new treatment must also take into account other variables such as treatment adherence or safety. To assess these points, a number of trials use a noninferiority paradigm [28,29]. The objective of these trials is to evaluate if a new treatment can be considered not worse than the gold-standard treatment by an acceptably small amount, with a given degree of confidence [30].

Charline Grossard, Mélanie Descamps, Sara Cadoni, Hugues Pellerin, François Vonthron, Jean Xavier, Bruno Falissard, David Cohen

JMIR Res Protoc 2025;14:e71326

Comparison of Smart Display Versus Laptop Platforms for an eHealth Intervention to Improve Functional Health for Older Adults With Multiple Chronic Conditions: Protocol for a Randomized Clinical Trial

Comparison of Smart Display Versus Laptop Platforms for an eHealth Intervention to Improve Functional Health for Older Adults With Multiple Chronic Conditions: Protocol for a Randomized Clinical Trial

Developed by our Agency for Healthcare Research and Quality Center of Excellence in Active Aging, it was first tested in a randomized controlled trial (RCT) involving a community sample of 390 participants age 65+ years who received a laptop either with or without Elder Tree access for 12 months [28].

David H Gustafson Sr, Marie-Louise Mares, Darcie C Johnston, John J Curtin, Klaren Pe-Romashko, Gina Landucci

JMIR Res Protoc 2025;14:e64449

A Remote Intervention Based on mHealth and Community Health Workers for Antiretroviral Therapy Adherence in People With HIV: Pilot Randomized Controlled Trial

A Remote Intervention Based on mHealth and Community Health Workers for Antiretroviral Therapy Adherence in People With HIV: Pilot Randomized Controlled Trial

Figure 2 A shows the Clever Cap and its packaging, which includes a micro-USB charger. Figure 2 B demonstrates Clever Cap’s built-in reminder system, which provided a visual and auditory alarm when it was time to take a scheduled dose. The bottle flashed green lights for 2 minutes and emitted a loud alarm to ensure that the reminder was noticeable. These cues automatically ceased once the cap was unscrewed, signaling a recorded dose.

Shivesh Shourya, Jianfang Liu, Sophia McInerney, Trinity Casimir, James Kenniff, Trace Kershaw, David Batey, Rebecca Schnall

JMIR Form Res 2025;9:e67997

Identifying Patient-Reported Outcome Measure Documentation in Veterans Health Administration Chiropractic Clinic Notes: Natural Language Processing Analysis

Identifying Patient-Reported Outcome Measure Documentation in Veterans Health Administration Chiropractic Clinic Notes: Natural Language Processing Analysis

Multiple notes can be written to describe the same identified chiropractic visit; for example, a resident chiropractor note and an attending chiropractor note may each contain data relevant to a single visit. We concatenated all notes linked to the same unique visit identifier on the same date of service (regardless of note author) to create a 1-to-1 relationship between visits and clinic notes. A unique character set was used as a delimiter to separate individual notes.

Brian C Coleman, Kelsey L Corcoran, Cynthia A Brandt, Joseph L Goulet, Stephen L Luther, Anthony J Lisi

JMIR Med Inform 2025;13:e66466