Delays in type 2 diabetes diagnosis & management in Black and mixed ethnicity people: a population data-driven study to improve NHS care and outcomes
Code: BC-DTP_2026_61
Title: Delays in type 2 diabetes diagnosis & management in Black and mixed ethnicity people: a population data-driven study to improve NHS care and outcomes
Primary Supervisor: Sarah Finer
Email: s.finer@qmul.ac.uk
Institute: Wolfson Institute of Population Health
Secondary Supervisor: Veline L'Esperance
Email: v.lesperance@qmul.ac.uk
Institute: Wolfson Institute of Population Health
Lay Summary:
This studentship aims to understand why people in the UK from Black African, Black Caribbean, and mixed‑ethnicity backgrounds are more likely to face delays in being diagnosed with type 2 diabetes (T2D), and why they may receive lower‑quality care after diagnosis compared with other groups.
The PhD student will use securely stored, anonymous NHS health records from a large database called the Clinical Practice Research Datalink (CPRD), along with information from a new study called Black Health Legacy, which collects health and genetic data. Using these studies, the student will track when people are diagnosed with T2D, what treatments they receive, and how closely their care follows national guidelines. They will compare these patterns across ethnic groups while taking into account factors like age, sex, deprivation, and existing health conditions.
The student will also explore whether naturally occurring genetic differences might influence how accurately the common diagnostic blood test known as HbA1c works for different people. This will help determine whether biology contributes to delayed or missed diagnoses.
By combining health record analysis with genetic research, the project will build a detailed picture of where inequalities arise along the diabetes care pathway, from diagnosis and treatment to complications such as kidney disease, eye disease, and amputations. The study will also use advanced statistical techniques to assess whether unequal care leads to worse long‑term health outcomes and higher NHS costs. The findings will guide practical recommendations to make NHS diabetes care fairer and more effective for Black and mixed‑ancestry communities.
Aims:
To identify the determinants and consequences of delayed diagnosis and inequitable management of T2D in East London’s Black African, Black Caribbean, and mixed‑ethnicity communities, and to co‑produce recommendations that improve equity in care.
Specific Objectives
- Quantify diagnostic delays and their determinants.
- Assess variation in guideline‑recommended monitoring, treatment initiation, and follow‑up care.
- Evaluate the impact of diagnostic and care inequalities on T2D complications, healthcare utilisation, and NHS costs.
- Integrate genetic and ancestry data to determine whether HbA1c‑altering variants influence diagnostic delays.
- Work with East London communities and NHS stakeholders to co‑produce feasible, culturally sensitive, and cost‑effective recommendations.
References:
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- National Diabetes Audit 2021–22. Report 1: Care Processes and Treatment Targets. NHS Digital; 2023.
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