Effect of the Digital Livsstilsverktyget in Conjunction With a Large Language Model on the Prevention of Type 2 Diabetes
Personalized Study With the Lifestyle Tool
Study Overview
Status
Status
Conditions
Conditions
Intervention / Treatment
Intervention / Treatment
Detailed Description
New scalable means to prevent type 2 diabetes is needed. AI-based large language models enable new means to support people in lifestyle changes. It is, however, important that these are coupled with serious health information.
The investigators have previously shown that the digital Livsstilsverktyget ('Lifestyle tool') developed at the University of Gothenburg leads to improved glycemic controls in patients using it regularly (Dwibedi et al., npj Digital Medicine 2022). To make the intervention more personal the investigators have coupled it with a large language model (LLM) to promote reflection on the expert-written content of the Lifestyle tool. Thus, participants interact with the LLM to explore a current area of interest. They then get recommendations from the LLM on relevant texts from the Lifestyle tool. These texts are written by experts (physicians, researchers). The participants go through the text and are then stimulate by the LLM to reflect on how to use the content in daily life.
This study will recruit people without type 2 diabetes, aged 35 years or older, from the general population. They will be randomly assigned to the intervention or to a control group without access to the intervention. The primary outcome is the incidence type 2 diabetes during three years. The primary variable, diagnosis of type 2 diabetes, is obtained via national health registers. Thus, no physical visits or blood sampling are required. The participants will complete the Findrisc questionnaire online at baseline to assess the risk for type 2 diabetes and enable effect analysis of individuals with different risk.
The study is an investigator-initiated single-center study conducted over three years. Technical problems are referred to a study coordinator, who also responded to requests to clarify content in a general manner without providing personal advice. Study participants are managed by their ordinary healthcare providers throughout the study.
Study Type
Study Type
Enrollment (Estimated)
Enrollment
Phase
Phase
- Not Applicable
Contacts and Locations
Study Contact
Study Contact
- Name: Birgitta Abrahamsson, MSc
- Phone Number: 0705316704
- Email: birgitta.x.abrahamsson@skane.se
Study Locations
-
-
Skåne County
-
Malmö, Skåne County, Sweden, 20502
- Recruiting
- Clinical Research Center
-
Contact:
- Anders Rosengren, MD PhD
- Phone Number: 0705316704
- Email: anders.rosengren@gu.se
-
Principal Investigator:
- Anders Rosengren, MD PhD
-
Contact:
- Email: anders.rosengren@gu.se
-
-
Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
- Adult
- Older Adult
Accepts Healthy Volunteers
Description
Inclusion criteria Informed consent Age above 35 years Access to Internet and mobile or computer device
Exclusion criteria diabetes mellitus conditions or treatments that in the judgement of the Investigator could affect the study evaluation connection with the study team, funders, authorities, universities or other public or private bodies in such a way that specific interests in the study outcomes could be suspected.
living outside of Sweden inability to read and write in Swedish
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Prevention
- Allocation: Randomized
- Interventional Model: Parallel Assignment
- Masking: None (Open Label)
Number of Arms
Arms and Interventions
Participant Group / ArmParticipant Group / Arm |
Intervention / TreatmentIntervention / Treatment |
|---|---|
|
No Intervention: Controls on standard care
Participants who get randomized to control cannot access the tool.
|
|
|
Experimental: Lifestyle intervention
Participants get access to the Lifestyle tool and use it regularly
|
Regular use of the digital Lifestyle tool
|
What is the study measuring?
Primary Outcome Measures
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Incidence of type 2 diabetes
Time Frame: 3 years
|
Incidence of type 2 diabetes diagnosed in routine care and reported in national clinical registers, i.e. defined as random plasma glucose >11.1 mmol/L or fasting glucose >7.0 mmol/L or HbA1C ≥6.5% compared between participants regularly using the tool and on usual care.
|
3 years
|
Collaborators and Investigators
Sponsor
Sponsor
Collaborators
Collaborators
Investigators
Investigators
- Principal Investigator: Anders Rosengren, MD PhD, Göteborg University
Study record dates
Study Major Dates
Study Start (Estimated)
Study Start
Primary Completion (Estimated)
Primary Completion
Study Completion (Estimated)
Study Completion
Study Registration Dates
First Submitted
First Submitted
First Submitted That Met QC Criteria
First Submitted That Met QC Criteria
First Posted (Actual)
First Posted
Study Record Updates
Last Update Posted (Actual)
Last Update Posted
Last Update Submitted That Met QC Criteria
Last Update Submitted That Met QC Criteria
Last Verified
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
Other Study ID Numbers
- Lifestyle tool LLM
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
IPD Plan Description
IPD Sharing Access Criteria
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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