BlueStar Rx healthcare provider user guide
Use Welldoc’s digital health solutions to deliver a virtual channel of care delivery to your patients.
Read Our Real-World ExperienceIf you would like a copy of the BlueStar user guide for health care providers, please contact us for a copy.
The information on this page is intended for clinicians only. If you are a patient and have any questions about managing your diabetes, or would like additional information about whether the BlueStar app may be right for you, please contact your doctor.
In a prospective, randomized, controlled study, Quinn et al. (Diabetes Care, 2011) found that, individuals with type 2 diabetes whose A1C levels were poorly controlled (>9.0%) or abnormal (7.5-8.9%) at the time of enrollment, and who were randomized to use a mobile phone app to help them manage their diabetes in addition to usual care, improved A1C by an average 1.9%, compared with 0.7% improvement in persons randomized to usual care alone, a difference of 1.2% (P < 0.001) over 12 months.
The results from the study (Figure 1) indicate am A1C reduction of 1.9%, compared with 0.7% improvement in persons randomized to usual care alone, a difference of 1.2% (P < 0.001) over 12 months. The results stratified on baseline A1C show that the results in Figure 1 do not indicate regression to the mean. Figure 2 shows the results within strata of baseline A1C less than 9%, and Figure 3 shows the results within strata of baseline A1C greater than or equal to 9%.
In a prospective, randomized, controlled study, Quinn et al. (Diabetes Technology and Therapeutics, 2008) found that individuals whose A1C levels were greater than or equal to 7.5% within most recent three months and recieved Welldoc’s software experienced an average decrease in A1c of 2.03%. Patients in the control group obtained an average A1C reduction of 0.68% (P < 0.02, one-tailed). Of the intervention patients, 84% had medications titrated or changed by their HCP compared to controls (23%, P = 0.002).
We rigorously examine our products and their impact, evidenced in over 40 peer-reviewed publications, posters, and presentations.
Clinical Studies J Med Internet Res
Clinical Studies J Med Internet Res
Clinical Studies ADA, New Orleans
Clinical Studies Diabetes Technology Therapeutics
Clinical Studies Journal of Applied Gerontology
Clinical Studies Journal of Diabetes Science and Technology
Clinical Studies Contemporary Clinical Trials
Clinical Studies Diabetes Care
Clinical Studies Diabetes Technol Ther
Clinical Studies Journal Name
Demonstration Project ADA, Boston
Demonstration Project Journal of Health Communications
Demonstration Project Journal Name
Frameworks Society of Behavioral Medicine
Frameworks Journal of Diabetes Science and Technology
Frameworks Encore Presentation at AADE 2018
Frameworks American Association of Diabetes Educators (AADE)
Frameworks American Association of Diabetes Educators
EMR Integration Journal of Diabetes Science and Technology
Post-Marketing Outcomes Diabetes Technology Society, Bethesda, MD
Post-Marketing Outcomes Diabetes Technology Society, Washington D.C.
Post-Marketing Outcomes ADA, Boston
Post-Marketing Outcomes ADA, Orlando
Whitepapers & Articles Today's Dietitian
Clinical Models AADE, New Orleans
Clinical Models Population Health Management
Clinical Models ADA, Orlando
Clinical Models AADE, Baltimore
Clinical Models AADE, San Antonio
Book Chapters mHealth Innovation: Best Practices from the Mobile Frontiers
Book Chapters Connected Health: Improving Care, Health, and Efficiency with Wearables
Mansur Shomali
Chief Medical Officer
Welldoc, Inc
Whoever is seeing that patient also needs to adjust the therapy. Because if the patient is doing all the right things, but they're on the wrong meds, it's not going to be a good solution. Tools like BlueStar, they bring that data to providers so that we can get decision support from it.
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510k, Rx, and OTC
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