DePICtion Study
Research type
Research Study
Full title
Diabetes in Primary Care: Improving Classification
IRAS ID
328717
Contact name
Beverley Shields
Contact email
Sponsor organisation
University of Exeter
Duration of Study in the UK
2 years, months, days
Research summary
There are different types of diabetes, Type 1, Type 2 and genetic forms of diabetes called MODY (Maturity Onset Diabetes of the Young). Getting the right diagnosis from the start is vital to ensure people receive the most effective treatment for their diabetes. Features of different types of diabetes overlap so correct diagnosis can sometimes be difficult. It is estimated that for Type 1 and Type 2, about 7-15% of individuals may initially be given the wrong diagnosis. For MODY, the misdiagnosis rates are much higher, with 77% of people with MODY being told they have Type 1 or Type 2 diabetes.
To improve this, we have developed and tested two online calculators which can be used to help clinicians classify diabetes:
1) A calculator which can determine how likely someone is to have Type 1 rather than Type 2 diabetes (https://www.diabetesgenes.org/t1dt2d-prediction-model/)
2) A MODY calculator which can help determine how likely someone is to have MODY (https://www.diabetesgenes.org/exeter-diabetes-app/)
We are now working with GP practices to test run these calculators in their computer systems and explore how they might help GPs make the correct diagnosis of diabetes.
This study has 2 parts:
Part 1: The GPs will run the calculators on their patient record systems to identify patients who may have been diagnosed with the wrong type of diabetes. The GP will review the records of those patients and may request further tests or a referral to a diabetes specialist. No identifiable data will be shared with researchers in this part.
Part 2: Some patients reviewed in part 1, GPs and other practice team members will be invited to take part in an interview with a researcher. They will be asked to share their views and experience on the use of the calculators in clinical care and the potential benefits.REC name
South Central - Oxford B Research Ethics Committee
REC reference
23/SC/0319
Date of REC Opinion
13 Oct 2023
REC opinion
Further Information Favourable Opinion