e.g. mhealth
Search Results (1 to 10 of 3440 Results)
Download search results: CSV END BibTex RIS
Skip search results from other journals and go to results- 974 JMIR mHealth and uHealth
- 667 Journal of Medical Internet Research
- 595 JMIR Formative Research
- 381 JMIR Research Protocols
- 148 JMIR Mental Health
- 146 JMIR Human Factors
- 76 JMIR Pediatrics and Parenting
- 56 JMIR Diabetes
- 52 JMIR Cancer
- 48 JMIR Aging
- 47 JMIR Cardio
- 40 JMIR Public Health and Surveillance
- 32 Iproceedings
- 31 JMIR Serious Games
- 23 JMIR Medical Informatics
- 20 JMIR Nursing
- 18 Interactive Journal of Medical Research
- 16 JMIR Rehabilitation and Assistive Technologies
- 14 JMIR Biomedical Engineering
- 13 JMIR Dermatology
- 13 JMIR Medical Education
- 11 JMIR Perioperative Medicine
- 5 JMIR AI
- 5 JMIR Neurotechnology
- 3 JMIR Infodemiology
- 2 Journal of Participatory Medicine
- 2 Online Journal of Public Health Informatics
- 1 Asian/Pacific Island Nursing Journal
- 1 JMIR Bioinformatics and Biotechnology
- 0 Medicine 2.0
- 0 iProceedings
- 0 JMIR Preprints
- 0 JMIR Challenges
- 0 JMIR Data
- 0 JMIRx Med
- 0 JMIRx Bio
- 0 Transfer Hub (manuscript eXchange)
- 0 JMIR XR and Spatial Computing (JMXR)
Research on the impact of m Health-EMR/EHR integration on patient outcomes has yielded mixed results.
JMIR Mhealth Uhealth 2025;13:e66650
Download Citation: END BibTex RIS
Go back to the top of the page Skip and go to footer section
Overall, the reviews found limited data on the effectiveness of current interventions (including m Health tools) to increase Pr EP uptake and adherence among adolescent girls and young women in LMICs [18,19], and the strength of evidence was limited as most publications were uncontrolled single-arm studies with small sample sizes [25]. Overall, m Health tools were deemed acceptable and feasible. No studies associated the use of m Health tools with improved Pr EP uptake.
JMIR Mhealth Uhealth 2025;13:e60819
Download Citation: END BibTex RIS
Managerial Challenges in Digital Health: Bibliometric and Network Analysis
Through content analysis, we were able to label cluster 1 as “user adoption and engagement in m Health.” Cluster 1 also examined the adoption of m Health services in low-income countries, specifically India and Bangladesh. Cluster 1 explored emotional bonding with m Health apps, gamification, and cross-country analysis of adoption patterns.
J Med Internet Res 2025;27:e57980
Download Citation: END BibTex RIS
Mobile health (m Health) approaches have been proposed as a means to overcome some of these barriers [4], but the feasibility of collecting a broad range of measurements using at-home devices has not been sufficiently evaluated in this setting. Therefore, we conducted a study to evaluate the feasibility of a “Virtual Home Clinic” by sending biometric measurement devices to participants’ homes.
JMIR Hum Factors 2025;12:e71103
Download Citation: END BibTex RIS
In the digital age, mobile health (m Health) has emerged as a subtype of telemedicine, focusing on the use of technologies, including mobile phones and wearables (including smart watches), to collect health data and support medical and public health practice [1].
In particular, smartphone-based remote patient monitoring (RPM) is a form of m Health that facilitates care decisions outside of traditional hospital settings through regular data capture and faster decision-making [2].
J Med Internet Res 2025;27:e68910
Download Citation: END BibTex RIS
Notably, mobile health (m Health) interventions are increasingly used to support HF self-care behaviors regardless of time or place [9]. Evidence suggests that m Health technologies can boost confidence with medication adherence, self-care behaviors, and lifestyle modifications [9,10]. Furthermore, a study reported that the use of m Health technology to improve adherence to self-care behaviors resulted in reduced mortality and HF-associated readmissions [10].
J Med Internet Res 2025;27:e74922
Download Citation: END BibTex RIS
For example, mobile health (m Health) apps offer significant value to patients [4] by supporting data sharing with health care providers. This enables personalized care, promotes continuity of care, and enhances understanding of condition progression and treatment response during medical appointments.
J Med Internet Res 2025;27:e60071
Download Citation: END BibTex RIS
Reference 40: Functions of mHealth diabetes apps that enable the provision of pharmaceutical care: criteriamhealth
JMIR Form Res 2025;9:e65893
Download Citation: END BibTex RIS
Preliminary analysis of PIC Health (Pacific Islander Community Health/Elige Salud) study data will inform the first phase of developing a beta version of a mobile health (m Health) app. This will enable collection of detailed feedback on the app’s acceptability, feasibility, and general design from community leaders, members, and other stakeholders. This study aims to identify community priorities and general themes to build the m Health beta app.
JMIR Form Res 2025;9:e76178
Download Citation: END BibTex RIS