Diabetes in Primary Care - Improving Classification

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.

Eligibility

Eligibility criteria for qualitative interviews.

Inclusion Criteria:

Patients

* Able to give written informed consent
* 18 years of age or over at the time of study participation
* Diabetes diagnosed at or under the age of 50
* Registered with a participating GP practice
* Sufficient understanding of the English Language to enable completion of the interview

Staff

* Able to give written informed consent
* 18 years of age or over
* Working at a participating General Practice and directly involved with the study procedures (eg running the decision support tool, responsibility for clinical care of diabetes patients)

Exclusion Criteria:

Patients

* Unable to give written informed consent
* Under 18 years of age
* No diabetes or diabetes diagnosed over the age of 50.
* Not registered with a participating GP practice
* Insufficient understanding of the English Language to enable interview completion
* Have an opt-out code where patient has declined electronic medical records examined
* Considered by their General Practitioner(s) to be inappropriate to recruit due to psycho-social reasons, participating in another related clinical trial or significant health reasons, e.g. terminal illness/diagnosis.

Staff

* Unable to give written informed consent
* Under 18 years of age
* General Practice staff not involved with the study procedures.

Conditions2

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