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RECRUITING
NCT06711718

Diabetes in Primary Care - Improving Classification

Sponsor: University of Exeter

View on ClinicalTrials.gov

Summary

This study aims to evaluate the clinical utility and acceptability to patients and practitioners of running diabetes classification algorithms on primary care data to help improve diagnosis of diabetes subtypes in adults diagnosed with diabetes under the age of 50. The outputs from this research will help provide initial data on how best to use these algorithms in primary care and the optimal design of a decision support tool that could be taken forward to a full trial.

Official title: Diabetes in Primary Care - Improving Classification (DePICtion)

Key Details

Gender

All

Age Range

18 Years - Any

Study Type

OBSERVATIONAL

Enrollment

45

Start Date

2024-06-25

Completion Date

2026-03-31

Last Updated

2025-09-23

Healthy Volunteers

Yes

Interventions

OTHER

Qualitative interview (patients)

Qualitative interviews to be carried out by an experienced researcher with patients who have had their diabetes diagnosis reviewed as a result of the running of the tool.

OTHER

Qualitative interview (staff)

Qualitative interviews to be carried out by an experienced researcher with practice staff who have run the tool and reviewed patients flagged by the tool.

Locations (9)

Tamar Valley Health

Plymouth, Cornwall, United Kingdom

Ivybridge Medical Practice (Beacon Medical Group)

Ivybridge, Devon, United Kingdom

Roborough Surgery

Plymouth, Devon, United Kingdom

Pathfields Medical Group

Plymouth, Devon, United Kingdom

Plympton Health Centre (Beacon Medical Group)

Plymouth, Devon, United Kingdom

Chaddlewood Surgery (Beacon Medical Group)

Plymouth, Devon, United Kingdom

Hucknall Road Medical Centre

Nottingham, Nottinghamshire, United Kingdom

Parkside Medical Practice

Nottingham, Nottinghamshire, United Kingdom

Chilwell Valley and Meadows Practice

Nottingham, Nottinghamshire, United Kingdom