Measuring the Effects of Sharing Mobile Health Data During Diabetes Consultations: Protocol for a Mixed Method Study.
Meghan BradwayAlain GiordanengoRagnar JoakimsenAnne Helen HansenAstrid GrøttlandGunnar HartvigsenPietro RandineEirik ÅrsandPublished in: JMIR research protocols (2020)
We expect to better understand what is needed to be able to share data. This includes potential benefits that sharing patient-gathered data during consultations will have on patients and HCPs, both individually and together. By measuring these impacts, we will be able to present the possibilities and challenges related to a system for sharing mHealth data for future interventions and practice. Results will also demonstrate what needs to be done to make this collaboration between HCPs and patients successful and subsequently further improve patients' health and engagement in their care.
Keyphrases
- end stage renal disease
- chronic kidney disease
- ejection fraction
- newly diagnosed
- healthcare
- type diabetes
- electronic health record
- peritoneal dialysis
- prognostic factors
- big data
- primary care
- health information
- public health
- palliative care
- machine learning
- quality improvement
- patient reported outcomes
- insulin resistance
- case report
- adipose tissue
- skeletal muscle
- chronic pain
- health insurance