General Practice

Evidence Synthesis Focused Programme

Professor Kamlesh Khunti (kk22@le.ac.uk)

Utilising evidence synthesis (through various methods such as umbrella reviews and meta-analyses) to address outstanding evidence gaps on the management/treatment and outcomes of MLTCs. This could for example include reviewing evidence on novel pharmacological therapy (e.g. SGLT2 inhibitors) impacts on wide ranging mental and physical health outcomes in patients with MLTCs.

Data Analytics Focused Programme

Professor Kamlesh Khunti (kk22@le.ac.uk)

Utilising pre-collected data analytics to produce a series of analyses (through our extensive experience working with and harmonising electronic health records and biobanks) to generate new evidence on underexplored health outcomes and therapies relating to MLTCs. This could for example include examining data on quality-of-life outcomes for people living with MLTCs using UK biobank data.

Culturally tailored interventions to improve medication adherence in MLTCs

Professor Kamlesh Khunti (kk22@le.ac.uk)

Investigation into previous interventions designed to improve medication adherence in people with MLTCs from diverse backgrounds, utilising evidence synthesis techniques such as systematic review and meta-analysis. Potential for further qualitative or observational investigation into barriers and facilitators to medication adherence in diverse populations living with MLTC in order to inform development of culturally tailored supportive intervention.

Innovative Care Models for Comprehensive Management of Diabetes and Concordant Long-Term Conditions in Primary Care

Professor Kamlesh Khunti (kk22@le.ac.uk)

This academic clinical fellowship is dedicated to pioneering transformative care models aimed at efficiently addressing the complex intersection of diabetes, kidney disease, heart conditions, and other coexisting long-term illnesses within a single primary care consultation. Our research initiative will focus on designing integrated care protocols, optimizing clinical workflows, and harnessing digital health tools to streamline the management of multiple chronic conditions. By enhancing the coordination of care and providing holistic patient-centred solutions, our project seeks to improve patient outcomes, reduce healthcare disparities, and offer a blueprint for more effective and sustainable primary care practices in the context of complex, concurrent health challenges.