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Diverging trajectories of trust in healthcare and on-line information seeking: what’s next with LLMs

Diverging trajectories of trust in healthcare and on-line information seeking: what’s next with LLMs

February 1, 2026February 1, 2026
Weekly Roundup – January 31, 2026

Weekly Roundup – January 31, 2026

January 31, 2026February 1, 2026
Embedding clinical intelligence to help close care gaps

Embedding clinical intelligence to help close care gaps

January 31, 2026January 31, 2026
Impact of Mobilization Facilitated by Wearable Device Enhanced Patient Monitoring/Electrophysiology Pod–Based Feedback on Postoperative Complications Following Colorectal Cancer Surgery: Randomized Controlled Trial

Impact of Mobilization Facilitated by Wearable Device Enhanced Patient Monitoring/Electrophysiology Pod–Based Feedback on Postoperative Complications Following Colorectal Cancer Surgery: Randomized Controlled Trial

January 31, 2026January 31, 2026
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Tag: mobile health

New digital health check to tackle deadly cardiovascular disease

New digital health check to tackle deadly cardiovascular disease

June 29, 2023June 30, 2023Digital Health

A Digital NHS Health Check that will deliver one million checks is to be rolled out across England from next spring, the government has announced today.The current NHS Health Check has helped to prevent…

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Feasibility, Acceptability, and Potential Impact of a Novel mHealth App for Smokers Ambivalent About Quitting: Randomized Pilot Study

Feasibility, Acceptability, and Potential Impact of a Novel mHealth App for Smokers Ambivalent About Quitting: Randomized Pilot Study

June 28, 2023June 29, 2023JMIR mHealth and uHealth

Background: Most smokers are ambivalent about quitting—they want to quit someday, but not now. Interventions are needed that can engage ambivalent smokers, build their motivation for quitting, and support future quit attempts. Mobile health…

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Usage and Daily Attrition of a Smartphone-Based Health Behavior Intervention: Randomized Controlled Trial

Usage and Daily Attrition of a Smartphone-Based Health Behavior Intervention: Randomized Controlled Trial

June 26, 2023June 26, 2023JMIR mHealth and uHealth

Background: Although most adolescents have access to smartphones, few of them use mobile health (mHealth) apps for health improvement, highlighting the apparent lack of interest in mHealth apps among adolescents. Adolescent mHealth interventions have…

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Influencing Factors to mHealth Uptake With Indigenous Populations: Qualitative Systematic Review

Influencing Factors to mHealth Uptake With Indigenous Populations: Qualitative Systematic Review

June 23, 2023June 24, 2023JMIR mHealth and uHealth

Background: The advancements and abundance of mobile phones and portable health devices have created an opportunity to use mobile health (mHealth) for population health systems. There is increasing evidence for the feasibility and acceptance…

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Rating analysis and BERTopic modeling of consumer versus regulated mHealth app reviews in Germany

Rating analysis and BERTopic modeling of consumer versus regulated mHealth app reviews in Germany

June 21, 2023June 22, 2023npj Digital Medicine

Germany introduced prescription-based mobile health (mHealth) apps in October 2020, becoming the first country to offer them fully reimbursed by health insurance. These regulated apps, known as DiGAs, undergo a rigorous approval process similar…

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The Effectiveness of a Traditional Chinese Medicine–Based Mobile Health App for Individuals With Prediabetes: Randomized Controlled Trial

The Effectiveness of a Traditional Chinese Medicine–Based Mobile Health App for Individuals With Prediabetes: Randomized Controlled Trial

June 20, 2023June 21, 2023JMIR mHealth and uHealth

Background: Traditional Chinese medicine (TCM) theories assert that body constitution and meridian energy lay the foundation for disease prevention. TCM-based health concepts have not yet been incorporated into mobile health (mHealth) apps for individuals…

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Understanding Mobile Health and Youth Mental Health: Scoping Review

Understanding Mobile Health and Youth Mental Health: Scoping Review

June 16, 2023June 17, 2023JMIR mHealth and uHealth

Background: A total of 75% of people with mental health disorders have an onset of illness between the ages of 12 and 24 years. Many in this age group report substantial obstacles to receiving…

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A Smartphone-Based Implicit Theories Intervention for Health Behavior Change: Randomized Trial

A Smartphone-Based Implicit Theories Intervention for Health Behavior Change: Randomized Trial

June 15, 2023June 17, 2023JMIR mHealth and uHealth

Background: Implicit theories of health describe individuals’ beliefs about the malleability of health. Individuals with an incremental theory of health believe that health, in general, is malleable, whereas individuals with an entity theory of…

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Participant Engagement in Microrandomized Trials of mHealth Interventions: Scoping Review

Participant Engagement in Microrandomized Trials of mHealth Interventions: Scoping Review

May 22, 2023May 22, 2023JMIR mHealth and uHealth

Background: Microrandomized trials (MRTs) have emerged as the gold standard for the development and evaluation of multicomponent, adaptive mobile health (mHealth) interventions. However, not much is known about the state of participant engagement measurement…

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The Implementation of a GPS-Based Location-Tracking Smartphone App in South Africa to Improve Engagement in HIV Care: Randomized Controlled Trial

The Implementation of a GPS-Based Location-Tracking Smartphone App in South Africa to Improve Engagement in HIV Care: Randomized Controlled Trial

May 19, 2023May 20, 2023JMIR mHealth and uHealth

Background: Mobile health interventions are common in public health settings in Africa, and our preliminary work showed that smartphones are increasing in South Africa. We developed a novel smartphone app—CareConekta—that used GPS location data…

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The physical space of the hospital will be gradually digitized until virtually every object and sensor becomes part of the so-called 'Internet of Things.' These innovations can broadly be categorized as either clinical or experiential, though some will be both. Clinical innovations will involve gathering ever more "signals" from the patient (infrared, sound, electrophysiology, pulse-oximeter, facial expression, etc.) to be sifted in real time through machine-learning algorithms that will help physicians refine their understanding of diagnosis and prognosis in ways we can only imagine today. Experiential innovations will allow health systems and their partners to take a page from Netflix, using the engagement opportunity of the acute care episode to stream digital content to patients and families through TVs, tablets and their own devices from home.

Daniel Durand

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