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Accepted for/Published in: Journal of Medical Internet Research

Date Submitted: Jan 21, 2020
Date Accepted: Jan 22, 2021

The final, peer-reviewed published version of this preprint can be found here:

Evaluating Glycemic Control in Patients of South Asian Origin With Type 2 Diabetes Using a Digital Therapeutic Platform: Analysis of Real-World Data

Krishnakumar A, Verma R, Chawla R, Sosale A, Saboo B, Joshi S, Shaikh M, Shah A, Kolwankar S, Mattoo V

Evaluating Glycemic Control in Patients of South Asian Origin With Type 2 Diabetes Using a Digital Therapeutic Platform: Analysis of Real-World Data

J Med Internet Res 2021;23(3):e17908

DOI: 10.2196/17908

PMID: 33764306

PMCID: 8074838

Evaluating glycemic control in type 2 diabetes patients of South Asian origin using a digital therapeutic platform: Assessment of real world data

  • Arjun Krishnakumar; 
  • Ritika Verma; 
  • Rajeev Chawla; 
  • Aravind Sosale; 
  • Banshi Saboo; 
  • Shilpa Joshi; 
  • Maaz Shaikh; 
  • Abhishek Shah; 
  • Siddhesh Kolwankar; 
  • Vinod Mattoo

ABSTRACT

Background:

Global prevalence of type 2 diabetes (T2D), especially among South Asians, has risen alarmingly in the last decade with little improvements in glucose control.

Objective:

We investigated the real-world effectiveness of the Wellthy CareTM (WC) digital therapeutic in improving glycemic control among the South Asian population of Indian origin.

Methods:

We conducted a retrospective, real-world, observational study on 102 patients with T2D from India enrolled on a 16-week structured self-management program delivered through the WC mobile app. Patients recorded their meals, weight, physical activity, and blood sugar in the app and received coaching on self-care behaviors (healthy eating, being active, monitoring, medication adherence, problem-solving, healthy coping, and reducing risks) through structured lessons, an artificial intelligence (AI)-powered chatbot, that provided real-time feedback, and periodic, planned interactions through certified diabetes educators via voice calls and chats. The Primary outcome of the program was change in HbA1c. Secondary outcomes included, difference between the pre-and post-intervention fasting blood glucose (FBG) and postprandial blood glucose (PPBG); change in BMI and weight at the completion of 16-week program; the association between program engagement, that was measured as the total number of interactions with the health coach and the AI-powered chat-bot, and the change in HbA1c, FBG, and PPBG.

Results:

At the end of 16 weeks, the average change in HbA1c was –0.49% (95% CI −0.73 to −0.25, P < .001). Out of all the patients, 63.72% had improved HbA1c levels with the mean change being −1.16% (95% CI −1.40 to −0.92, P < .001). The mean pre-and post-intervention FBG were 145.38 mg/dl (95% CI: 135.44 to 155.33) and 134.3 mg/dl (95% CI: 122.15 to 146.54, P = .023), and PPBG was 187.84 mg/dl (95% CI: 172.47 to 203.21) and 166.36 mg/dl (95% CI: 152.83 to 179.89, P = .028). Mean change in BMI and weight was –0.47 kg/m2 (95% CI −0.22 to −0.71 kg/m2, P < 0.001), and –1.32 kg (95% CI −0.63 to −2.01 kg, P < 0.001), respectively. There was a step-wise decrease in HbA1c, FBG, and PPBG as the program engagement increased. Patients in the highest tertile of program engagement had a significantly higher reduction in HbA1c (−0.84% vs −0.06%, P = .016), FBG (−21.4 mg/dl vs −0.18 mg/dl, P = .023), and PPBG (−22.03 mg/dl vs 2.35 mg/dl, P = .0022) than those in the lowest tertile.

Conclusions:

The WC digital therapeutic intervention is associated with improved glucose control and other health outcomes. Digital interventions could potentially help in relieving the rising diabetes burden among South Asian populations by bringing about effective behavior change and better diabetes self-management.


 Citation

Please cite as:

Krishnakumar A, Verma R, Chawla R, Sosale A, Saboo B, Joshi S, Shaikh M, Shah A, Kolwankar S, Mattoo V

Evaluating Glycemic Control in Patients of South Asian Origin With Type 2 Diabetes Using a Digital Therapeutic Platform: Analysis of Real-World Data

J Med Internet Res 2021;23(3):e17908

DOI: 10.2196/17908

PMID: 33764306

PMCID: 8074838

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