Patient Engagement with diabetics delivers clinical outcomes

Patient Engagement with diabetics delivers clinical outcomes

Today, we submitted a study with a leading Medical Journal that demonstrated that clinical outcomes can be delivered with a group of diabetics, through a comprehensive Patient Engagement Model.

The study involved a comparison of clinical outcomes amongst a set of diabetic patients who had taken packages in our clinics with patients who came for a-la-carte’ services, like just a consult or just few tests. Our package involves engaging patients, when they have left our clinic through a call center and mobile app. Each package has a call calendar and each call engages with the patient on a different topic. The calls have a set of questions that try to assess the present lifestyle pattern of an individual, give scores between dark red (bad score) to dark green (good score). The questions branch out based in responses given and advice on course correction, if scores are repeatedly red. The calls also cover a lot of topics like retinopathy, neuropathy and educate the patient in complications management.

The mobile app is designed that it gives “tips” to diabetics to lead a healthy lifestyle, besides reminders can be set for BS level checks and medication management. The capture of BS levels is engaging and helps diabetics to get longitudinal data, over a day or days, depending on frequency of BS levels check, advised by the doctor.

The study had base-lined the A1c levels between the 2 groups (package and a-la-carte’) as per readings taken during 1st visit and compared among the 2 groups, the changes in A1c levels during 2nd and 3rd visit. The package patients showed a drop of 1% in A1c levels whereas a-la-carte patients showed an increase of 0.2%. All other parameters being same (consults with same doc and diagnostic tests), it was found that the only variable between 2 groups was that package patients were engaged with calls and mobile app, which nudged them to be more complaint and thus helped them reduce their A1c levels by 1%.

It is a clear testimony that a robust and a well-designed patient engagement model can help diabetics reduce their A1c levels.

We are proud that we are helping diabetics lead a healthy and normal life

Amit Mehta

CEO | Keynote Speaker | Healthcare AI solutions & services

8y

Hi Yug, let me look at your app. Is it available on Play? I looked up, but didn't find. We can speak, on Friday afternoon, India time, if that works

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Yug Bansal

Health care Professional

8y

Hi Mr Amit Mehta I think you are doing a wonderful task of using using systematic patient engagement to treat diabetes. We at eye q vision pvt ltd are trying to do a similar program where patients have access to a app where customized eye care tips related to there conditions will be pushed and also they can do a online consultation with the doctor during daytime. Our patient age groupe is 45-70 years. One of the challanges which we are facing is of how to educate people to use the app. Any pointers/ suggestions would be much appreciate.

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Amit Mehta

CEO | Keynote Speaker | Healthcare AI solutions & services

8y

Thanks Dr. Marcus and Sweta Sneha - analysis on reduction in complications is part of series of next steps. We should connect to discuss further.

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Sweta Sneha, PhD

Founder and Executive Director, Healthcare Management and Informatics at Kennesaw State University

8y

Congratulations Amit! Indeed a step in the right direction. If the results are statistically significant and have enough power, then the system may be able to deliver the promise of maintaining wellness to chronic diabetics. Has your team collected data or run analytics on the impact of the system on fatalities and reduction in complications? Will talk to you soon!

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Dr. Marcus Ranney

Longevity Physician to Overwhelmed High-Performers + CXOs | Best-Selling Author | Biohacker | Guinness Book of World Records’ Holder | Building Longevity Athletes | Adventurer + Explorer

8y

Great to hear this news! Is the study being published so we can study the statistics in more detail? The key question I have at this stage is whether a drop of 1% is statistically significant amongst the three study groups and then if this difference will lead to any reductions in clinical mortality or morbidity scores, which ultimately is the final goal. Would love to speak with you as per your convenience.

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