e.g. mhealth
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Skip search results from other journals and go to results- 6 Journal of Medical Internet Research
- 3 JMIR Dermatology
- 3 JMIR Public Health and Surveillance
- 2 JMIR Formative Research
- 1 Interactive Journal of Medical Research
- 1 JMIR Aging
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- 1 JMIR Medical Informatics
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- 1 JMIR Pediatrics and Parenting
- 1 JMIR Research Protocols
- 1 JMIR mHealth and uHealth
- 1 Online Journal of Public Health Informatics
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Patient demographics including age, sex, race, ethnicity, preferred language, and insurance status were extracted from the EHR for all individual patients who were seen in person or on telemedicine. All ages reported refer to the patient’s age. Race and ethnicity data were collected by self-report.
JMIR Pediatr Parent 2024;7:e57702
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Given PLM’s popularity, this study and our previous work [4] analyze user demographics and illuminate the daily struggles, treatment challenges, and emotional impact of high-burden dermatologic conditions identified by the GBD. Greater understanding could build awareness of patient concerns, identify trends and unmet needs in disease management, and ultimately contribute to improved patient-centered care and outcomes.
JMIR Dermatol 2024;7:e50449
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demographicsUse and User Demographics of mHealth Demographics of Users, Social & Digital Divide
J Med Internet Res 2024;26:e56320
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Telehealth Uptake Among Hispanic People During COVID-19: Retrospective Observational Study
Research suggested that telehealth use differed by demographics such as gender, age, and education [14]. Studies have noted gender differences in telehealth use, as male participants are less likely to use telehealth than female participants [3,9,15,16]. Among racial and ethnic groups, Hispanic patients often opt for in-person rather than telehealth visits [5,10]. Whether a patient has access to and knowledge to use telehealth depends on socioeconomic factors [5].
JMIR Med Inform 2024;12:e57717
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PatientsLikeMe and Online Patient Support Communities in Dermatology
Discrepancies when comparing demographics of disease prevalence may be rooted in the self-selected nature of PLM use, where users predominantly identified as female and non-Hispanic White, and were generally younger and more highly educated than even those of other online platforms [5]. Women are also more likely to use internet sources for health information compared to men [3].
JMIR Dermatol 2024;7:e50453
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demographicsUse and User Demographics of mHealth
JMIR Mhealth Uhealth 2024;12:e51637
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Assessing SARS-CoV-2 Testing Adherence in a University Town: Recurrent Event Modeling Analysis
Nonetheless, HDT or HYT demonstrated the program’s effectiveness in retaining participants across a broad spectrum of age and race or ethnic demographics through and engaging new individuals in testing throughout its duration. The highest burden of infection arrived with the dominance of the Omicron variant in California, during which the testing program accelerated testing and outreach efforts to achieve the highest daily testing rate of the surveillance program.
JMIR Public Health Surveill 2024;10:e48784
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Among those with no formal education, demographics, cognitive tests, and IADL had AUCs of 0.79 (95% CI 0.78-0.79), 0.72 (95% CI 0.72-0.73), and 0.71 (95% CI 0.70-0.71), respectively. When making predictions among those with some education, demographics, cognitive tests, and IADL had average AUCs of 0.73 (95% CI 0.72-0.74), 0.64 (95% CI 0.63-0.66), and 0.64 (95% CI 0.62-0.65), respectively.
The existing prediction models recreated in this study all had good predictive ability in the general population.
JMIR Aging 2024;7:e53240
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