Search Results (1 to 2 of 2 Results)
Download search results: CSV END BibTex RIS
Skip search results from other journals and go to results- 2 Journal of Medical Internet Research
- 0 Medicine 2.0
- 0 Interactive Journal of Medical Research
- 0 iProceedings
- 0 JMIR Research Protocols
- 0 JMIR Human Factors
- 0 JMIR Medical Informatics
- 0 JMIR Public Health and Surveillance
- 0 JMIR mHealth and uHealth
- 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 JMIR Formative Research
- 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)
Figure Correction: How Consumers and Physicians View New Medical Technology: Comparative Survey
The online version of this JMIR paper has been updated with this figure, and a corrected version was sent to Pub Med Central.
Proportion of responders who believed access to electronic health records would increase anxiety in patients, improve health management, or increase the number of unnecessary medical tests (error bars represent 95% confidence intervals).
J Med Internet Res 2015;17(12):e284
Download Citation: END BibTex RIS

How Consumers and Physicians View New Medical Technology: Comparative Survey
The majority of providers (819/1406, 58.25%) preferred a diagnosis be made by a professional compared with 44.46% (490/1102) among consumers (Table 3, Q1).
Comparison of survey results between providers and consumers (relative risks [RR] in reference to providers:consumers).
a Multinomial probit regression.
b Probit regression.
c Linear regression.
d Age and gender modeled as covariates.
J Med Internet Res 2015;17(9):e215
Download Citation: END BibTex RIS