Effect of Personal Health Record (PHR) and Health Management App Utilization in Online Medical Practice
Not Applicable
Recruiting
- Conditions
- ifestyle-related diseases (type 2 diabetes, obesity, dyslipidemia (except familial), hypertension, hyperuricemia, etc.)
- Registration Number
- JPRN-UMIN000047642
- Lead Sponsor
- Kanazawa University
- Brief Summary
Not available
- Detailed Description
Not available
Recruitment & Eligibility
- Status
- Recruiting
- Sex
- All
- Target Recruitment
- 30
Inclusion Criteria
Not provided
Exclusion Criteria
(i) Patients with diabetes mellitus requiring insulin therapy (ii) Other patients who are deemed inappropriate for the program by the physician in charge.
Study & Design
- Study Type
- Interventional
- Study Design
- Not specified
- Primary Outcome Measures
Name Time Method
- Secondary Outcome Measures
Name Time Method
Related Research Topics
Explore scientific publications, clinical data analysis, treatment approaches, and expert-compiled information related to the mechanisms and outcomes of this trial. Click any topic for comprehensive research insights.
What molecular mechanisms underlie PHR and app integration in managing lifestyle-related diseases like type 2 diabetes and hypertension?
How does PHR usage in the Online-Kanazawa-PHR study compare to standard-of-care for obesity and dyslipidemia in terms of clinical outcomes?
What biomarkers could identify patients with hyperuricemia or familial dyslipidemia who may benefit most from digital health interventions?
What adverse events are associated with long-term use of health management apps for lifestyle disease monitoring and how are they managed?
Are there combination approaches involving PHRs and existing drug classes like SGLT2 inhibitors or statins that enhance treatment efficacy for lifestyle-related conditions?