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Dates:           2014 - 2019   
Funding:           NIHR Grant: RP-PG-1210-12003          
Collaborators:          

Professor Rafael Perera, Nuffield Department of Primary Care Health Sciences, University of Oxford

Project Team: Borislava Mihaylova, Iryna Schlackow, Claire Simons
Further  information:           Boby Mihaylova           

 

The two aims of the study are to (1) evaluate the cost-effectiveness of different intervals of monitoring kidney function in patients with evidence of suboptimal function, and (2) investigate current approaches to evaluate cost-effectiveness of monitoring heart failure in primary care.

Current guidelines on frequency of chronic kidney disease (CKD) monitoring are based on expert opinion, and rigorous research evidence is required to determine optimal intervals at which patient’s kidney function should be monitored. Regular monitoring could inform timely initiation of cardioprotective interventions and subsequent cardiovascular (CV) risk reductions. We are developing a long-term CKD-CVD decision analytic model using detailed routine healthcare data of patients with reduced kidney function to produce reliable evidence on effectiveness and cost-effectiveness of different strategies.

There is also growing interest in strengthening the evidence for heart failure management in the primary care setting.  We review available health economic evaluation frameworks used to study research questions relating to monitoring and management of CHF in primary care with a focus on model structures and data sources.  This aim to identify key limitations in data and methods that will benefit further research.

Links to the wider project:

https://www.phc.ox.ac.uk/research/medical-statistics/projects/monitoring-chronic-kidney-disease-in-primary-care

https://www.phc.ox.ac.uk/research/medical-statistics/projects/monitoring-chronic-heart-failure-in-primary-care

   

Our team