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Diabetes in Primary Care - Improving Classification

NCT06711718 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 21

Last updated 2026-04-30

No results posted yet for this study

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.

Conditions

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.

Sponsors & Collaborators

  • University of Bristol

    collaborator OTHER

  • University of Nottingham

    collaborator OTHER

  • National Institute for Health Research, United Kingdom

    collaborator OTHER_GOV

  • University of Exeter

    lead OTHER

Principal Investigators

  • Beverley Shields, Professor · University of Exeter

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2024-06-25
Primary Completion
2026-03-05
Completion
2026-03-31

Countries

  • United Kingdom

Study Locations

More Related Trials

Entities

Diseases

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT06711718 on ClinicalTrials.gov