Evaluating and improving case finding approaches for undiagnosed COPD in primary care
Description: Aim: 1. Conduct a systematic review of COPD case finding studies. 2. Develop a risk stratification tool for COPD case finding. 3. Audit the management of patients identified through case finding. Methods: 1. A systematic review will first be conducted looking at all relevant trials investigating the effectiveness and cost-effectiveness of COPD case finding. All relevant bibliographic databases including Medline, Embase, and the Cochrane Library will be searched using explicit search criteria. The results of trials will be pooled in a meta-analysis if appropriate. 2. A risk stratification tool for COPD case finding will be developed using data from the case finding trial. This will include ever-smokers aged 40-79 years, with no prior diagnosis of COPD, responding to a simple respiratory questionnaire and undergoing spirometry within the trial. Predictor variables including demographic variables, body mass index, co-morbidities, respiratory symptoms and previous hospital admissions will be examined to develop a risk model for COPD. This model will be used to produce a risk stratification tool which will be validated on a subset of the study population. This will be followed by a cost-effectiveness analysis to estimate the cost per true case identified for differential risk sub-groups. 3. The management of patients identifed with COPD will be audited against the updated NICE guidelines for COPD. Data will be extracted from GP electronic records from all patients identified with COPD through a funded randomised-controlled COPD case finding trial in primary care. An additional set of 100 medical records will be examined manually.
Amount: £283,700
Funding type: fellowship
Funder scheme: NIHR Fellowships
Start date: 2011-11-01
End date: 2014-10-31
Investigator: Shamil Haroon (lead)
Institutions: University of Birmingham, The University of Birmingham
Subfield: Pulmonary and Respiratory Medicine
Field: Medicine
Domain: Health Sciences
Funded outputs count: 9
Funder award ID: DRF-2011-04-064
OpenAlex ID: G2736652145