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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 6.2 More information about Impact Factor CiteScore 11.6 More information about CiteScore

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. 

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.

It is indexed in all major literature indices, including MEDLINEPubMedPubMed CentralScopus, Psycinfo, SCIE, JCR, EBSCO/EBSCO Essentials, DOAJ, GoOA and others.

JMIR mHealth and uHealth received a Journal Impact Factor of 6.2 according to the latest release of the Journal Citation Reports from Clarivate, 2025.

JMIR mHealth and uHealth received a Scopus CiteScore of 11.6 (2024), placing it in the 91st percentile (#13 of 153) as a Q1 journal in the field of Health Informatics. 

Recent Articles

Woman in workout clothes using phone and headphones outdoors
mHealth for Wellness, Behavior Change and Prevention

Mobile health (mHealth) interventions are growing in popularity, but less research has focused on low-income families, particularly interventions integrating wearable devices with automated personalized messages.

Young woman in bed illuminated by phone screen, looking thoughtful
mHealth for Data Collection and Research

Exposure to circadian entrainers, such as sunlight, positively impacts sleep architecture, while exposure before bedtime to circadian disruptors, such as artificial light and smartphone use, can negatively affect sleep. However, real-world evidence from longitudinal observational studies that simultaneously capture these factors alongside electroencephalography-derived sleep stages remains limited.

Hands of two people showing a smartwatch and smartphone with health data
Use and User Demographics of mHealth

Mobile health (mHealth) technologies, including smartphone health apps and wearable trackers, are increasingly used to promote health behaviors. However, their impact on physical and mental well-being remains complex, with both benefits and potential unintended negative consequences.

Microlife digital blood pressure monitor showing readings of 128/86/76
mHealth in the Developing World/LMICs, Underserved Communities, and for Global Health

Screening for, detecting, and managing pregnancy hypertension is a core function of antenatal care. To reduce both training requirements and the risks of measurement error in blood pressure (BP) values, automated and semiautomated BP devices have been validated in pregnant women with normal BP and pregnant women with hypertension and introduced for serial antenatal measurement of BP.

SnapID app identifies a Common Krait snake with black and white bands.
Quality Evaluation and Descriptive Analysis/Reviews of Multiple Existing Mobile Apps

Neglected tropical diseases disproportionately affect underserved populations, with snakebite envenoming (SBE) remaining one of the most overlooked, despite its significant global burden. Digital health applications (DHAs) offer potential to improve prevention, care, and resource management, especially when integrated into digital health interventions. However, despite growing interest, evidence and structured evaluations are limited, making it difficult to assess their impact without a clear overview of existing tools.

Woman with red cheeks looking at phone
Quality Evaluation and Descriptive Analysis/Reviews of Multiple Existing Mobile Apps

Lupus erythematosus (LE) is a chronic autoimmune disease that significantly impacts patients’ quality of life. Photosensitivity is a key impairment that severely limits the quality of life, especially in cutaneous lupus erythematosus (CLE), where exposure to sunlight can lead to rashes, exacerbations, and pain. In systemic lupus erythematosus (SLE), other manifestations such as joint pain, fatigue, and organ damage may contribute to decreased physical function and emotional distress. Mobile health apps (MHA) offer potential support for comprehensive disease management for the symptoms mentioned above. However, there is a lack of systematic analysis of available lupus management apps.

Joint Effort app on a smartphone, showing options to "Se situer", "Se mobiliser", and "Se mettre en action
Design and Formative Evaluation of Mobile Apps

Cannabis use (CU) among young adults continues to be an important public health issue. Interventions to support lower-risk CU during young adulthood can improve health outcomes. Mobile applications constitute a promising mode of service delivery. However, there is a lack of evidence-based apps specifically developed for young adult cannabis users.

Person holding phone with "Wat drink jij?" (What are you drinking?) on screen
mHealth for Wellness, Behavior Change and Prevention

Excessive alcohol consumption among adolescents and young adults is a serious health problem. Dynamically tailored interventions could reduce their excessive drinking. We therefore developed “What Do You Drink” (WDYD), a 17-week dynamically tailored mHealth (mobile health) intervention providing personalized support on alcohol consumption.

Close-up of a cat's face with a phone notification reading "Sedentary.
mHealth for Wellness, Behavior Change and Prevention

Total knee replacement (TKR) is a common surgery for end-stage knee osteoarthritis. Although reductions in pain and improvements in mobility occur after surgery, physical activity levels often do not change. Given the challenges of increasing physical activity in this population, targeting reductions in sedentary behavior may be a first step; however, no prior studies have examined the feasibility and effects of a sedentary reduction intervention after TKR.

Hands holding smartphone displaying Food Loop app with seasonal icons and graph
Ecological Momentary Assessment (EMA)

Consumers are increasingly moving away from the traditional 3-meal-a-day eating routine to a pattern where they are snacking throughout the day to fulfill dietary needs, a trend known as “snackification.” Snacking depends on a variety of product-, context-, and consumer-specific determinants, but consumers’ long-term snacking behaviors in light of these determinants have remained little studied.

Preprints Open for Peer Review

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