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App-based coaching and AI nudges for type 2 diabetes care

Tests a phone app with motivational coaching in adults with poorly controlled type 2 diabetes.

Plain-language title generated from the registry record
Registry title: App-based Motivational Interviewing and Artificial Intelligence in Diabetes Management

Key facts

Where
Singapore, SingaporeSee the 3 sites

Could this be for you?

Answer for yourself. This is not a decision: only the study team can say whether you can take part.

  • Are you between 21 and 100 years old?

Source: NCT06214520, who can take part

Where in Singapore

  • SingHealth Polyclinic (Punggol)Singapore, SingaporeTaking people
  • SingHealth Polyclinic (Sengkang)Singapore, SingaporeTaking people
  • SingHealth Polyclinic (Tampines)Singapore, SingaporeTaking people

Questions to ask the study team

  1. How often do I need to come in, and for how long each time?
  2. Are travel costs paid?
  3. Can I keep my own doctor?
  4. What happens if I want to stop?
Print a page for my doctor

Trial details

Who runs it
Singapore General Hospital
Trial code
NCT06214520
Record updated
14 November 2024
Original description
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.Read full original descriptionShow less

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

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.

Inclusion: Aged 21 years and above; Have been diagnosed with diabetes (T2DM); Had HbA1c result of ≥ 7.5% within past 3 months; Physically able to exercise; Able to read and converse in English; Able to download the Empower+ app, use the smartphone wearable tracker, and conform to the minimum smartwatch and app monitoring schedule.

Exclusion: Have planned major operation or surgical procedure within 9 months from the time of recruitment; Current participants of ongoing clinical trials involving the usage of a smartphone wearable tracker or mobile health app to assist diabetes management; On bolus insulin treatment; Require assistance with basic activities of daily living (BADL); Cognitively impaired (scored \< 6 on the Abbreviated Mental Test); Currently pregnant or lactating; Past Empower study participants who refused to participate in future Empower studies.

ClinicalTrials.gov NCT06214520