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 CiteScore 11.6

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. 

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

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mHealth for Screening

Colorectal cancer (CRC) incidence and mortality rates continue to be elevated even though effective screening methods are widely available. To increase CRC screening in primary care practices, our team developed a tablet-based digital health program (mPATH) designed to identify patients needing CRC screening, provide education, and empower patients to request a screening test via the program.

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Evaluation and Research Methodology for mHealth

Single-leg squat (SLS) performance is widely used to screen functional movement quality, but practical assessment often relies on expert visual grading or laboratory-based motion capture. In addition, conventional SLS criteria mainly focus on isolated joint deviations and may overlook coordination-related, multisegment movement patterns that characterize impaired performance.

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mHealth for Treatment Adherence

Although highly effective HIV pre-exposure prophylaxis (PrEP) is available, its usage and adherence among young men who have sex with men and young transgender women remain low, reducing its overall effectiveness. The study included a 3-arm randomized clinical trial of Prepared, Protected, emPowered (P3), a comprehensive PrEP adherence digital health intervention, compared to an enhanced version, P3+, which incorporates in-app adherence coaching.

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mHealth in the Developing World/LMICs, Underserved Communities, and for Global Health

Oral cancer is a major public health concern in low- and middle-income countries, where access to specialist care and early detection remains limited. Mobile health technologies supported by artificial intelligence (AI) offer a scalable approach to extend screening services into underserved communities. In Thailand, village health volunteers (VHVs) are key frontline workers who provide preventive services and bridge gaps between rural populations and specialist care.

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mHealth for Telemedicine and Homecare

Telerehabilitation programs use information and communications technologies to facilitate exercise training, self-management education, and health behavior modifications for nonhospitalized patients. In recent years, 2 systematic reviews have examined the effectiveness of telerehabilitation in the recovery of patients with hip fractures but have yielded inconsistent results. This is a significant gap because tools to assess clinical domains such as pain, range of motion, and deformity are crucial for patient outcomes. Moreover, the long-term effects of telerehabilitation on postoperative functional recovery in patients with hip fractures have not been investigated.

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mHealth for Symptom and Disease Monitoring, Chronic Disease Management

Accurate limb circumference measurement is essential for the diagnosis and management of lymphedema, facilitating the objective evaluation of treatment outcomes and early detection of disease progression. Although manual tape measurements are inexpensive and widely used, they are limited by interobserver variability and low reproducibility. Advanced modalities such as computed tomography and magnetic resonance imaging provide high precision but are costly and impractical for routine or home-based use. To overcome these limitations, we developed and validated a novel 3D measurement system that integrates a marker-based bodysuit (ZOZOSUIT2) with a smartphone app, enabling fast, accurate, and reproducible limb circumference assessment.

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Wearable Devices and Sensors

Asthma remains one of the most serious chronic diseases of childhood. Individuals with severe asthma experience sudden episodes of breathlessness due to acute airflow obstruction, leading to recurrent pediatric intensive care unit (PICU) admissions that often result in mechanical ventilation and even death. Existing clinical assessments lack temporal resolution to effectively track the rapidly changing physiology.

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mHealth for Data Collection and Research

Artificial intelligence (AI)–driven pose estimation (PE) offers a scalable and cost-effective solution to track exercises in mobile health apps. However, occlusion, influenced by camera angle and distance, can reduce detection accuracy and repetition counting precision. The influence of smartphone positioning on these performance metrics remains underexplored in controlled studies.

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mHealth in Medical Education and Training

The Chinese National Guidelines on Diagnosis and Treatment of Gonorrhea (2020) recommend ceftriaxone 1 g intramuscularly as a single dose for the treatment of uncomplicated gonococcal infections. However, nonadherence to the guidelines remains common among physicians in China, partly due to their poor awareness of the recommendations.

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mHealth for Symptom and Disease Monitoring, Chronic Disease Management

Despite the high prevalence of type 2 diabetes mellitus in China, few patients are achieving adequate management targets. While digital behavior change interventions (DBCIs) are promising solutions, sustained long-term user engagement with these new technologies remains challenging.

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Preprints Open for Peer Review

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