e.g. mhealth
Search Results (1 to 10 of 3432 Results)
Download search results: CSV END BibTex RIS
Skip search results from other journals and go to results- 972 JMIR mHealth and uHealth
- 663 Journal of Medical Internet Research
- 594 JMIR Formative Research
- 381 JMIR Research Protocols
- 148 JMIR Mental Health
- 145 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)
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
Reference 66: Evaluation of an mHealth app (DeStressify) on university students’ mental health: pilotmhealthmHealth for Wellness, Behavior Change and Prevention
JMIR Form Res 2025;9:e66131
Download Citation: END BibTex RIS
Digital therapeutics and mobile health (m Health) provide great potential for increased access to self-administered nonpharmacological treatments [13,14]. Despite this potential, we are not aware of any market-available, therapist-independent migraine biofeedback treatment with proven efficacy [15].
To fill this gap, we have developed a multimodal biofeedback system for independent home-based use.
JMIR Hum Factors 2025;12:e59622
Download Citation: END BibTex RIS
Reference 34: An investigation into the use of mHealth in musculoskeletal physiotherapy: scoping reviewmhealthUse and User Demographics of mHealth mHealth in a Clinical Setting mHealth for Rehabilitation
JMIR Mhealth Uhealth 2025;13:e63935
Download Citation: END BibTex RIS
Furthermore, r PPG technology relies only on a consumer-grade smartphone camera and does not require skin contact, which makes it even more ideal for use in telemonitoring and mobile health (m Health) apps [13,14]. Developing r PPG technology for use in the preoperative evaluation clinic setting can improve manpower, save costs and lead to higher patient satisfaction scores without increasing day-of-procedure case cancellations [15,16].
JMIR Form Res 2025;9:e60455
Download Citation: END BibTex RIS
mhealthMobile Health (mhealth) mHealth for Symptom and Disease Monitoring, Chronic Disease Management mHealth for Treatment Adherence
J Med Internet Res 2025;27:e70203
Download Citation: END BibTex RIS
To the best of our knowledge, there is a lack of research in the field of VTE that integrates the theories of HBM and KAP, complemented by m Health technology.
To address this research gap, we have recently developed a smart technology–assisted, patient-centered care m Health app for managing VTE (m VTEA) [36]. Its goal is to improve patient-centered care for patients with or at risk of VTE by combining HBM and KAP frameworks.
JMIR Res Protoc 2025;14:e67254
Download Citation: END BibTex RIS
Power analysis was conducted based on PA effectiveness measurement (ie, daily moderate to vigorous exercise minutes) using data from a m Health study on adults with diabetes aimed at improving daily light activities (Cohen d=0.93), as no relevant literature on m Health interventions for individuals with SCI was available [31]. Assuming a power of 0.8 and an α level of .05, G*Power (Heinrich-Heine-Universität Düsseldorf) indicated a required sample size of 13 [32].
JMIR Rehabil Assist Technol 2025;12:e70063
Download Citation: END BibTex RIS
Many mobile health (m Health) apps have been developed for SCD, but most focus on one aspect of the disease, primarily pain diaries [7-9]. No apps for SCD exist that combine components to be a multipurpose app that engages participants in multiple facets of their disease and their pain [10-12]. There has been no published evaluation of an m Health app that encompasses various components of the disease process and allows individuals to tailor their needs to the m Health app’s functionality.
JMIR Form Res 2025;9:e67906
Download Citation: END BibTex RIS