JMIR mHealth and uHealth

Mobile and tablet apps, ubiquitous and pervasive computing, wearable computing, and domotics for health

Editor-in-Chief:

Lorraine R. Buis, PhD, MSI, Associate Professor, Department of Family Medicine, University of Michigan, USA


Impact Factor 5.4 CiteScore 12.6

JMIR mHealth and uHealth (JMU, ISSN 2291-5222) is a leading peer-reviewed journal and one of the flagship journals of JMIR Publications. JMIR mHealth and uHealth has been published since 2013 and was the first mhealth journal indexed in PubMed. In June 2024, JMIR mHealth and uHealth received a Journal Impact Factor™ from Clarivate of 5.4 (5-year Journal Impact Factor™: 5.6) and received a CiteScore of 12.6, placing it in the 90th percentile (#13 of 138) as a Q1 journal in the field of Health Informatics. It is indexed in all major literature indices, including MEDLINE, PubMedPubMed Central, Scopus, Psycinfo, SCIE, JCR, EBSCO/EBSCO Essentials, DOAJ, GoOA and others.

JMIR mHealth and uHealth focuses on health and biomedical applications in mobile and tablet computing, pervasive and ubiquitous computing, wearable computing and domotics. 

The journal adheres to rigorous quality standards, involving a rapid and thorough peer-review process, professional copyediting, and professional production of PDF, XHTML, and XML proofs.

Like all JMIR journals, JMIR mHealth and uHealth encourages Open Science principles and strongly encourages the publication of a protocol before data collection. Authors who have published a protocol in JMIR Research Protocols get a discount of 20% on the Article Processing Fee when publishing a subsequent results paper in any JMIR journal.

Recent Articles

Article Thumbnail
mHealth for Wellness, Behavior Change and Prevention

Little is known about women’s decisions around toileting for urination and how those decisions influence moment-to-moment behaviors to manage bladder needs. The new smartphone application Where I Go captures such nuanced and granular data in real-world environments.

|
Article Thumbnail
mHealth for Wellness, Behavior Change and Prevention

Despite widespread awareness of healthy eating principles, many individuals struggle to translate this knowledge into consistent, sustainable dietary change. Food recommender systems, increasingly used in various settings, offer the potential for personalized guidance and behavior change support. However, traditional approaches may prioritize user preferences or popularity metrics without sufficiently considering long-term nutritional goals. This can inadvertently reinforce unhealthy eating patterns. Emerging research suggests that incorporating explanations into recommender systems can increase transparency, promote informed decision-making, and potentially influence food choices. Yet, the effectiveness of explanations in promoting healthy choices within complex, real-world food environments remain largely unexplored.

|
Article Thumbnail
Ecological Momentary Assessment (EMA)

Adolescence through emerging adulthood represents a critical period associated with changes in lifestyle behaviors. Understanding the dynamic relationships between cognitive, social, and environmental contexts is informative for the development of interventions aiming to help youth sustain physical activity and limit sedentary time during this life stage. Ecological momentary assessment (EMA) is an innovative method involving real-time assessment of individuals’ experiences and behaviors in their naturalistic or everyday environments; however, EMA compliance can be problematic due to high participant burdens.

|
Article Thumbnail
mHealth in a Clinical Setting

Major surgery is associated with significant morbidity and a reduced quality of life, particularly among older adults and individuals with frailty and impaired functional capacity. Multimodal prehabilitation can enhance functional recovery after surgery and reduce postoperative complications. Digital prehabilitation has the potential to be a resource-sparing and patient-empowering tool that improves patients’ preoperative status; however, little remains known regarding their safety and accuracy as medical devices.

|
Article Thumbnail
Research Letter

This analysis of a previously published randomized controlled trial compared the cost of healthcare utilization after knee arthroplasty, demonstrating potential cost savings associated with use of self-directed rehabilitation via a smartphone-based care management platform versus traditional in-person physical therapy.

|
Article Thumbnail
Wearables and MHealth Reviews

Artificial intelligence (AI) has already revolutionized the analysis of image, text, and tabular data, bringing significant advances across many medical sectors. Now, by combining with wearable inertial measurement units (IMUs), AI could transform health care again by opening new opportunities in patient care and medical research.

|
Article Thumbnail
mHealth for Wellness, Behavior Change and Prevention

Wearable sensor technology, often referred to as ‘wearables’, has seen a rapid rise in consumer interest in recent years. Initially often seen as ‘activity trackers’, wearables have gradually expanded to also estimate sleep, stress and physiological recovery. In occupational settings, there is a growing interest in applying this technology to promote health and well-being, especially in professions with highly demanding working conditions such as first responders. However, it is not clear to what extent self-monitoring with wearables can positively influence stress- and well-being-related outcomes in real-life conditions, and how wearable-based interventions should be designed for high-risk professionals.

|
Article Thumbnail
Text-messaging (SMS, WeChat etc)-Based Interventions

HIV continues to be a public health concern for Mexico and Latin America due to an increase in new cases, instead of a decrease, such as is observed globally. Treatment adherence is a pillar for achieving viral suppression. It prevents the spread of the disease at a community level and improves the quality and survival of PLWHIV. Thus, is important to implement some strategies to achieve sustained treatment adherence.

|
Article Thumbnail
Ecological Momentary Assessment (EMA)

There has been a surge in the development of applications that aim to improve health, physical activity (PA), and well-being through behavior change. These apps often focus on creating a long-term and sustainable impact on the user. Just-in-time adaptive interventions (JITAIs) based on passive sensing of the current user context (e.g., from smartphones and wearables) have been devised to enhance the effectiveness of these apps and foster PA. JITAIs aim to provide personalized support and interventions, such as encouraging messages, in a context-aware manner. However, based on a limited range of passive sensing capabilities, getting the timing and context right for delivering well accepted and effective interventions is often challenging. Ecological Momentary Assessment (EMA) can provide personal context by directly capturing user assessments (e.g., moods and emotion). Thus, EMA might be a useful complement to passive sensing in determining when JITAIs are triggered. Yet, extensive EMA schedules need to be scrutinized as they can increase user burden.

|
Article Thumbnail
Text-messaging (SMS, WeChat etc)-Based Interventions

Among people with abdominal obesity, women are more likely to develop diabetes than men. Mobile health (mHealth)–based technologies provide the flexibility and resource-saving opportunities to improve lifestyles in an individualized way. However, mHealth-based diabetes prevention programs tailored for busy mothers with abdominal obesity have not been reported yet.

|
Article Thumbnail
mHealth for Telemedicine and Homecare

The use of telemonitoring to manage renal function in patients with chronic kidney disease (CKD) is recommended by health authorities. However, despite these recommendations, the adoption of telemonitoring by both health care professionals and patients faces numerous challenges.

|

Preprints Open for Peer-Review

|

Open Peer Review Period:

-

|

Open Peer Review Period:

-

|

Open Peer Review Period:

-

We are working in partnership with