Chronic obstructive pulmonary disease (COPD) and asthma are two very common long term respiratory diseases associated with substantial morbidity, mortality and healthcare costs. In this project we will calculate the number of COPD and asthma cases in the CPRD population using different methods to find them, and determine what factors increase the risk of the disease. This information will then be used in a project funded by Public Health England (PHE) to estimate the number of cases in smaller populations such as general practices. This can be used in local efforts to prevent these diseases using risk factor data, and to reduce their impact and burden by encouraging earlier diagnosis and rapid, appropriate treatment.
COPD and asthma are common, long term conditions of enormous public health importance. They cause significant morbidity and mortality and contribute significantly to NHS health care costs. There is good evidence of under-diagnosis in many practices, especially in urban areas.[1] In this project we will be updating, both in terms of data sources and methods, a previously developed prevalence model for COPD,[2] using CPRD as a new data source, and developing a new prevalence model for asthma, also using CPRD data. In addition to diagnostic Read codes entered in primary care electronic health records (EHRs) we will use other data to identify likely or possible cases including Hospital Episode Statistics (HES) ICD-10 diagnostic data linked to CPRD, and other clinical data including spirometry, prescribing and symptom data. Logistic regression models will then be fitted to estimate risk factor odds ratios, which will then be converted using a well-established method to small population prevalence estimates with confidence intervals using corresponding local data on risk factors.
Michael Soljak - Chief Investigator - Imperial College London
Jennifer Quint - Corresponding Applicant - Imperial College London
Azeem Majeed - Collaborator - Imperial College London
Kieran Rothnie - Collaborator - GlaxoSmithKline Services Unlimited (UK)
Mahsa Mazidi - Collaborator - Imperial College London
Roger Newson - Collaborator - Imperial College London
HES Admitted Patient Care;Patient Level Index of Multiple Deprivation;Practice Level Index of Multiple Deprivation