e.g. mhealth
Search Results (1 to 7 of 7 Results)
Download search results: CSV END BibTex RIS
Skip search results from other journals and go to results- 2 JMIR mHealth and uHealth
- 2 Journal of Medical Internet Research
- 1 Interactive Journal of Medical Research
- 1 JMIR Formative Research
- 1 JMIR Medical Informatics
- 0 Medicine 2.0
- 0 iProceedings
- 0 JMIR Research Protocols
- 0 JMIR Human Factors
- 0 JMIR Public Health and Surveillance
- 0 JMIR Serious Games
- 0 JMIR Mental Health
- 0 JMIR Rehabilitation and Assistive Technologies
- 0 JMIR Preprints
- 0 JMIR Bioinformatics and Biotechnology
- 0 JMIR Medical Education
- 0 JMIR Cancer
- 0 JMIR Challenges
- 0 JMIR Diabetes
- 0 JMIR Biomedical Engineering
- 0 JMIR Data
- 0 JMIR Cardio
- 0 Journal of Participatory Medicine
- 0 JMIR Dermatology
- 0 JMIR Pediatrics and Parenting
- 0 JMIR Aging
- 0 JMIR Perioperative Medicine
- 0 JMIR Nursing
- 0 JMIRx Med
- 0 JMIRx Bio
- 0 JMIR Infodemiology
- 0 Transfer Hub (manuscript eXchange)
- 0 JMIR AI
- 0 JMIR Neurotechnology
- 0 Asian/Pacific Island Nursing Journal
- 0 Online Journal of Public Health Informatics
- 0 JMIR XR and Spatial Computing (JMXR)
Subsequent investigations may focus on the exploration of client observations and opinions about these apps, with a particular emphasis on the dynamics of user-platform interaction and the establishment of trustworthiness.
The MARS is a trustworthy and adaptable tool for assessing the reliability of mobile apps. The evaluation of online pharmacy apps of Pakistan using the MARS provided helpful data on the reliability and efficacy of these apps.
JMIR Mhealth Uhealth 2025;13:e59884
Download Citation: END BibTex RIS
However, the higher the score, the better the results, and each question supported the detection of specific flaws in trustworthiness and regulatory requirements, as well as data protection issues.
Every user facing the usability scenarios had to answer the ASQ developed by Lewis in 1995, which uses a 7-point scale (1-7), with the lowest value reflecting the highest satisfaction.
JMIR Form Res 2024;8:e59513
Download Citation: END BibTex RIS
Breast Self-Examination System Using Multifaceted Trustworthiness: Observational Study
The ARVs were generated based on the idea of Marsh [41] and Daskivich [56] to identify the trustworthiness level of a physician or patient with independent values. The trustworthiness level and independent value of a physician denoted by ARV are shown in Table 2.
Trustworthiness level scale.
If ARVs are between 9 and 10, the trustworthiness level is considered to be high, and the independent value is 5, whereas lower values indicate higher levels of distrust.
JMIR Med Inform 2020;8(9):e21584
Download Citation: END BibTex RIS
The Mobile Health App Trustworthiness Checklist: Usability Assessment
To fill this gap, we created the m Health app trustworthiness (m HAT) checklist via a focus group study with end users of health apps. The m HAT checklist is displayed in Multimedia Appendix 1 and details of the study can be found elsewhere [14].
The purpose of this study was to validate the m HAT checklist by modifying its contents according to ratings and suggestions from stakeholders familiar with the process of developing, managing, or curating m Health apps to ensure that its contents are applicable.
JMIR Mhealth Uhealth 2020;8(7):e16844
Download Citation: END BibTex RIS
Furthermore, there is a gap in the literature for any data showing how spelling errors interact with other writing mechanics violations that might also affect trustworthiness [57]. This suggests that lay insight into the influences on their perceptions of trustworthiness are imperfect, and that research on trustworthiness should be supplemented by approaches that do not rely on such insight.
J Med Internet Res 2020;22(6):e15171
Download Citation: END BibTex RIS
Trustworthy Health-Related Tweets on Social Media in Saudi Arabia: Tweet Metadata Analysis
We assess the trustworthiness of tweets originating from traditionally trusted health sources and examine the relationships between attributes (>100) of a tweet and its trustworthiness.
Tweets do not need to be accurate or evidence based to receive traction. In their study, Nastasi et al [32] noted that scientifically inaccurate health tweets were retweeted in the same manner as accurate tweets.
J Med Internet Res 2019;21(10):e14731
Download Citation: END BibTex RIS
However, the quality of the Web-based health information, generally in trustworthiness, readability, and suitability aspects, is often questioned. Online health information seekers could be at risk of finding unreliable or inappropriate information from the websites. Incorrect or inappropriate health information can be used in an improper way and can cause detrimental outcomes by negatively influencing health care-related decisions [30,31].
Interact J Med Res 2018;7(2):e10440
Download Citation: END BibTex RIS