The Cost-Effectiveness of a Personalised Early Warning Decision Support System (The COPDPredict™ System) to Predict and Prevent Acute Exacerbations of Chronic Obstructive Pulmonary Disease
COPDPredict™ is potentially cost-effective for COPD B and D patients. However, the small samples sizes upon which the results were obtained warrant further investigation.
Authors
- Neil Patel (ORCID: https://orcid.org/0000-0001-6218-1036)
- Sue Jowett (ORCID: https://orcid.org/0000-0001-8936-3745)
- Alice Margaret Turner (ORCID: https://orcid.org/0000-0002-5947-3254)
- Eleni Gkini (ORCID: https://orcid.org/0000-0001-8083-2947)
- James Hall (ORCID: https://orcid.org/0000-0001-8024-5427)
- Rajnikant Mehta (ORCID: https://orcid.org/0000-0002-5341-5598)
- Monica Spiteri (ORCID: https://orcid.org/0000-0003-3638-3085)
Institutions
- Birmingham City University (GB)
- Queen Mary University of London (GB)
- Cancer Research UK Clinical Trials Unit (GB)
- Fourth State (United Kingdom) (GB)
- University of Birmingham (GB)
Publication Details
- Journal
- International Journal of COPD
- Published
- 2025-05-01
- DOI
- https://doi.org/10.2147/copd.s486309
- Primary Topic
- Chronic Obstructive Pulmonary Disease (COPD) Research
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Institute for Health and Care Research
- Barts Health NHS Trust
- Invention for Innovation