Implementation of a primary care asthma management quality improvement programme across 68 general practice sites.
Francis J GilchristWilliam D CarrollSadie ClaytonDavid J PriceIan JarroldIain SmallEmma J SuttonWarren LenneyPublished in: NPJ primary care respiratory medicine (2023)
Despite national and international guidelines, asthma is frequently misdiagnosed, control is poor and unnecessary deaths are far too common. Large scale asthma management programme such as that undertaken in Finland, can improve asthma outcomes. A primary care asthma management quality improvement programme was developed with the support of the British Lung Foundation (now Asthma + Lung UK) and Optimum Patient Care (OPC) Limited. It was delivered and cascaded to all relevant staff at participating practices in three Clinical Commissioning Groups. The programme focussed on improving diagnostic accuracy, management of risk and control, patient self-management and overall asthma control. Patient data were extracted by OPC for the 12 months before (baseline) and after (outcome) the intervention. In the three CCGs, 68 GP practices participated in the programme. Uptake from practices was higher in the CCG that included asthma in its incentivised quality improvement programme. Asthma outcome data were successfully extracted from 64 practices caring for 673,593 patients. Primary outcome (Royal College of Physicians Three Questions [RCP3Q]) data were available in both the baseline and outcome periods for 10,328 patients in whom good asthma control (RCP3Q = 0) increased from 36.0% to 39.2% (p < 0.001) after the intervention. The odds ratio of reporting good asthma control following the intervention was 1.15 (95% CI 1.09-1.22), p < 0.0001. This asthma management programme produced modest but highly statistically significant improvements in asthma outcomes. Key lessons learnt from this small-scale implementation will enable the methodology to be improved to maximise benefit in a larger scale role out.
Keyphrases
- primary care
- chronic obstructive pulmonary disease
- lung function
- allergic rhinitis
- quality improvement
- healthcare
- randomized controlled trial
- general practice
- end stage renal disease
- newly diagnosed
- cystic fibrosis
- study protocol
- machine learning
- metabolic syndrome
- clinical trial
- peritoneal dialysis
- adipose tissue
- skeletal muscle
- weight loss
- electronic health record
- big data
- clinical practice
- artificial intelligence
- patient reported outcomes
- deep learning
- long term care
- data analysis