Search Results (1 to 10 of 305 Results)
Download search results: CSV END BibTex RIS
Skip search results from other journals and go to results- 63 Journal of Medical Internet Research
- 60 JMIR Research Protocols
- 44 JMIR Formative Research
- 24 JMIR Public Health and Surveillance
- 23 Iproceedings
- 18 JMIR mHealth and uHealth
- 13 Online Journal of Public Health Informatics
- 8 Interactive Journal of Medical Research
- 8 JMIR Human Factors
- 6 JMIR Aging
- 6 JMIR Medical Informatics
- 6 JMIR Mental Health
- 4 JMIR Medical Education
- 4 JMIR Pediatrics and Parenting
- 3 JMIR Biomedical Engineering
- 3 JMIR Perioperative Medicine
- 2 JMIR Cardio
- 2 JMIR Rehabilitation and Assistive Technologies
- 2 JMIR Serious Games
- 2 JMIRx Med
- 1 JMIR AI
- 1 JMIR Cancer
- 1 JMIR Diabetes
- 1 JMIR Infodemiology
- 0 Medicine 2.0
- 0 iProceedings
- 0 JMIR Preprints
- 0 JMIR Bioinformatics and Biotechnology
- 0 JMIR Challenges
- 0 JMIR Data
- 0 Journal of Participatory Medicine
- 0 JMIR Dermatology
- 0 JMIR Nursing
- 0 JMIRx Bio
- 0 Transfer Hub (manuscript eXchange)
- 0 JMIR Neurotechnology
- 0 Asian/Pacific Island Nursing Journal
- 0 JMIR XR and Spatial Computing (JMXR)
Go back to the top of the page Skip and go to footer section
Go back to the top of the page Skip and go to footer section
Advancing Digital Health Integration in Oncology
J Med Internet Res 2025;27:e70316
Download Citation: END BibTex RIS
Go back to the top of the page Skip and go to footer section
Go back to the top of the page Skip and go to footer section
Go back to the top of the page Skip and go to footer section
This activity aims to identify the total number of pregnant women who can be referred to the facility for delivery and KMC if their neonates meet the inclusion criteria of weighing >1200 and
All neonates will be screened at birth, and those with a birth weight of >1200 and
KMC experts from Aga Khan University (AKU) will serve as master trainers for the training, based on educational material on KMC in the local language for mothers, families, health facility providers (physicians, nursing staff, and lady health
JMIR Res Protoc 2025;14:e56142
Download Citation: END BibTex RIS
Go back to the top of the page Skip and go to footer section
Go back to the top of the page Skip and go to footer section
To analyze changes in appointment no-show rates, z tests were performed. Logistic regression was used to estimate odds ratios (OR) and determine the likelihood of a no-show after implementation. Statistical significance was set at an α level of .05, with 95% CI computed for all estimates. The statistical validation involved performing hypothesis tests to determine the significance of changes in waiting times and no-show rates.
JMIR Form Res 2025;9:e64936
Download Citation: END BibTex RIS