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App-based Motivational Interviewing and Artificial Intelligence in Diabetes Management — EmpowerPlus  

Diabetes Mellitus Type 2 Clinical Trial

Official title:
EMPOWERing Patients With Type 2 Diabetes Mellitus (T2DM) in Primary Care Through App-based Motivational Interviewing PLUS Artificial Intelligence Powered Diabetes Management (EMPOWER-PLUS): Randomised Controlled Trial

Clinical Trial Summary

There is an urgent need for better control and prevention of complications in type 2 diabetes mellitus (T2DM). Behavioural change is critical, and while literature suggests that motivational interviewing (MI) may be effective in improving glycemic control, none has explored app-based MI designed specifically for T2DM. The overall objective of this project is to determine the effectiveness of primary care model combining app-based MI and AI-powered personalised nudges delivered through a mobile application (app) for diabetes management (EMPOWER-PLUS). The project aims to evaluate the effectiveness and implementation of MI and nudges through EMPOWERPLUS to deliver diabetes management through a randomised controlled trial (RCT). This will be a 3-arm RCT with primary outcome measure being the difference in HbA1c level at week 36 between the intervention and control arms. Secondary outcome measures include cost-effectiveness, quality of life, medication adherence, diet, and physical activity. Eligible poorly controlled T2DM patients with T2DM in polyclinics will be randomized to intervention arm who will receive EMPOWER-PLUS and smartwatch wearable on top of their usual clinical care. The first control group will have access to nudges delivered through app and smartwatch wearable in addition to usual clinical care but will not receive MI. The second control group will receive usual care (no access to MI, nudges and smartwatch wearable). This study is important to improve T2DM outcomes and reduce healthcare utilization by providing scientifically evaluated and transformative primary care model. Leveraging on digital technology and artificial intelligence to drive personalised care, behavioural change and empowerment has huge potential for scale up.

Clinical Trial Description

n/a

Study Design

Related Conditions & MeSH terms

Clinical Trial Details
NCT number NCT06214520
Study type Interventional
Source Singapore General Hospital
Contact Lian Leng Low
Phone 63265872
Email low.lian.leng@singhealth.com.sg
Status Recruiting
Phase N/A
Start date February 23, 2024
Completion date June 30, 2026
View Details
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