e.g. mhealth
Search Results (1 to 8 of 8 Results)
Download search results: CSV END BibTex RIS
Skip search results from other journals and go to results- 2 Journal of Medical Internet Research
- 1 Interactive Journal of Medical Research
- 1 JMIR Formative Research
- 1 JMIR Medical Informatics
- 1 JMIR Mental Health
- 1 JMIR mHealth and uHealth
- 1 Online Journal of Public Health 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 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 JMIR XR and Spatial Computing (JMXR)
The data set consists of deidentified data from January 1, 2008, to December 30, 2020, including the pickup location of the patient, the destination of the patient (either a hospital location, airport, or helipad), and the dispatch priority. The data set was cleaned to include only hospital locations that would have a recommended “driving” journey to definitive stroke care based on NWO limitations.
JMIR Form Res 2024;8:e54009
Download Citation: END BibTex RIS
Visual “Scrollytelling”: Mapping Aquatic Selfie-Related Incidents in Australia
Map coordinates were obtained by locating the incident using Google Maps and inputted into a coordinate finder using the Mapbox Location Helper [3]. Mapbox Studio [4] was used to create a custom map. A satellite template was chosen to best display the geographic context surrounding each selfie incident. The data set was imported into the Mapbox Studio custom map, which populated the data layer onto the map. A heat map setting was chosen for the data.
Interact J Med Res 2024;13:e53067
Download Citation: END BibTex RIS
Social determinants of health are the conditions in which individuals are born, live, work, and age; mesolevel determinants are from the physical environment and encompass items such as geographic location and access to resources [3]. Location-based exposures tied to geographic location are a pivotal element to one’s health [4-6]; ongoing research suggests that zip code is on par with genetic code in influencing individual health [7-10].
Online J Public Health Inform 2024;16:e54958
Download Citation: END BibTex RIS
The second set included the hospital location variables. Hospital location was measured using 3 dummy variables: metropolitan, micropolitan, and rural regions. We also measured the state economic condition where the hospital is located because previous studies found that per capita GDP plays an important role in technology adoption and use [43,44].
J Med Internet Res 2022;24(5):e33742
Download Citation: END BibTex RIS
This includes accessibility, surrounding natural and built environments, social behaviors, and any related location-specific exposures, understanding that these elements change across geographic areas, scales, and time. Impactful health research that can be applied to real-world issues and problems must be grounded within the context of place [5-7]. Location and the location’s context both matter [8-10]!
JMIR Med Inform 2022;10(4):e35073
Download Citation: END BibTex RIS
Location data, originally collected as longitude and latitude every minute, were passed through a density-based spatial clustering of applications with noise (DBSCAN) clustering algorithm to arrive at location clusters.
JMIR Ment Health 2021;8(8):e27589
Download Citation: END BibTex RIS
Mobile phone location data can be used to monitor changes in human behavior across different locations in a country. These data indicate whether people are staying in the same location or moving around. The effects of public health and social measures to suppress COVID-19 transmission range from reduction of travel to distant locations to increased fractions of people staying at home, as assessed by mobile phone location data [14,15].
JMIR Mhealth Uhealth 2021;9(5):e27342
Download Citation: END BibTex RIS
In order for remote PROMs to be widely used by the mobile app, the results should not be different depending on the location; that is, remote PROM results performed in locations other than hospitals should be able to obtain reliable results equivalent to those performed in hospitals, and this is very important.
J Med Internet Res 2021;23(3):e20989
Download Citation: END BibTex RIS