e.g. mhealth
Search Results (1 to 10 of 60 Results)
Download search results: CSV END BibTex RIS
Skip search results from other journals and go to results- 11 JMIR Pediatrics and Parenting
- 11 Journal of Medical Internet Research
- 10 JMIR Formative Research
- 6 JMIR Human Factors
- 3 JMIR Research Protocols
- 3 JMIR mHealth and uHealth
- 2 JMIR Aging
- 2 JMIR Cancer
- 2 JMIR Medical Education
- 2 JMIR Medical Informatics
- 2 JMIR Rehabilitation and Assistive Technologies
- 1 JMIR AI
- 1 JMIR Cardio
- 1 JMIR Diabetes
- 1 JMIR Serious Games
- 1 Journal of Participatory Medicine
- 1 Online Journal of Public Health Informatics
- 0 Medicine 2.0
- 0 Interactive Journal of Medical Research
- 0 iProceedings
- 0 JMIR Public Health and Surveillance
- 0 JMIR Mental Health
- 0 JMIR Preprints
- 0 JMIR Bioinformatics and Biotechnology
- 0 JMIR Challenges
- 0 JMIR Biomedical Engineering
- 0 JMIR Data
- 0 JMIR Dermatology
- 0 JMIR Perioperative Medicine
- 0 JMIR Nursing
- 0 JMIRx Med
- 0 JMIRx Bio
- 0 JMIR Infodemiology
- 0 Transfer Hub (manuscript eXchange)
- 0 JMIR Neurotechnology
- 0 Asian/Pacific Island Nursing Journal
- 0 JMIR XR and Spatial Computing (JMXR)
User Perceptions of E-Cigarette Cessation Apps: Content Analysis of App Reviews
One aspect of apps that is often overlooked in cessation research are user reviews, which hold valuable information about user experiences [18,19]. Studying reviews helps to understand the target audience of these apps and what features of the apps contribute to a positive or negative experience [18]. This study aimed to explore the user experience of cessation apps that address vaping through an analysis of user reviews.
J Med Internet Res 2025;27:e59997
Download Citation: END BibTex RIS
As Silverio et al [12] wrote, “it is not uncommon for quantitative approaches to be unable to detect the nuances of the experiences we seek to understand.” Social context is needed to conceptualize the intricacies of health inequity as a means for developing effective and sustainable solutions [13]. Therefore, using a narrative-based medicine (NBM) model [14], this study centers on women of color’s lived experiences [15] with surviving life-threatening pregnancy complications.
JMIR Res Protoc 2025;14:e58410
Download Citation: END BibTex RIS
For example, autistic users have reported VR could help them with (1) anxiety surrounding unknown experiences; (2) concrete, literal thinking; (3) improving self-esteem and positive self-identity; (4) repetitive practice in real-life environments; and (5) making friends [11-14]. However, particularities of autism, such as sensory changes, disassociation, and indeed individualized presentations, may pose a barrier to the use of VR.
JMIR Rehabil Assist Technol 2025;12:e63235
Download Citation: END BibTex RIS
Evaluating survey results in relation to EHR use measures reflecting the work environment and experiences of each physician may allow a more detailed analysis of the differences between responders and nonresponders, thereby enabling extrapolations relevant to the well-being of nonresponders.
Symptoms of burnout affect primary care physicians disproportionately [1,4,5] and pose a threat to quality of care and patient safety [6,7].
JMIR Med Inform 2025;13:e64722
Download Citation: END BibTex RIS
Similarly, qualitative explorations of the experiences of children and young people during the pandemic revealed heterogeneity, with prominent themes ranging from feelings of loss to growth and development [13]; for example, while most children and young people adapted well to school closures and web-based learning, experiences ranged from a lack of motivation to complete work to improved productivity [14].
J Med Internet Res 2025;27:e63634
Download Citation: END BibTex RIS
Considering these factors, it is important to understand older adults’ attitudes and experiences with CURATE.DTx, as their feedback is also helpful for improving future iterations of the platform. Therefore, this study aimed to examine the general acceptability and user experience of the CURATE.DTx platform among older Singaporean adults.
JMIR Form Res 2025;9:e63568
Download Citation: END BibTex RIS
Moreover, as Bangladesh experiences rapid urbanization, lacking sufficient urban data to improve health and nutrition could diminish national progress [23]. Further, 1 of the cited reasons for the lag in urban data is the dependence on NGO support without assistance from government entities and the lack of accountability that comes with this.
No one has told [urban areas] yet that the indicators are under the national system, and it is happening in rural, not in urban. It has to be done.
J Med Internet Res 2024;26:e48294
Download Citation: END BibTex RIS
Additional questions were included, that is, if there were problems with usability and whether the system could be integrated into their workflow, with room for additional statements about their experiences. Moreover, we added 2 questions that required only a yes or no answer: whether the system could be integrated into their workflow and whether they would use it again. In addition, we asked for some demographic data, which include age and experience with patient recruiting.
JMIR Hum Factors 2024;11:e56872
Download Citation: END BibTex RIS
Routine health care services or interventions provided in early life have been shown to be protective of poor health outcomes and improve early life experiences, such as learning outcomes, mental well-being, and relationships, as well as healthy growth and development [2,3]. Future health outcomes for children are influenced by these early life experiences and exposures, and subsequently the cumulative effects of positive or negative later life experiences [3].
JMIR Pediatr Parent 2024;7:e59191
Download Citation: END BibTex RIS
This study also suggested that robots should have the ability to learn and adapt from previous experiences [52]. Another study suggested that nursing staff’s intimate relationships with residents could be used to gain knowledge and personalize robots for specific older adults [47].
Nursing staff members voiced several concerns about adopting care robots in ALFs. Ethically, there was disagreement about who should control the robots—the older adults or the nursing staff.
JMIR Aging 2024;7:e58629
Download Citation: END BibTex RIS