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

James A Hall,1 Alice M Turner,2 Eleni Gkini,3 Rajnikant Mehta,4 Monica Spiteri,5 Neil Patel,5 Sue Jowett1 1Health Economics Unit, Department of Applied Health Sciences, University of Birmingham, Birmingham, UK; 2Department of Applied Health Sciences, University of Birmingham, Birmingham, UK; 3Birmingham Clinical Trials Unit, Department of Applied Health Sciences, University of Birmingham, Birmingham, UK; 4Centre for Evaluation and Methods, Wolfson Institute of Population Health, Queen Mary University of London, London, UK; 5NEPESMO Ltd, London, UKCorrespondence: Sue Jowett, Email [email protected]: Chronic obstructive pulmonary disease (COPD) is a respiratory disease associated with significant morbidity, mortality, and healthcare burden. Many COPD patients are frequent exacerbators, which has a significant impact on patient prognosis. Prompt exacerbation management using a digital tool, COPDPredict™ may support COPD patients in identifying exacerbations earlier to reduce hospital admissions.Methods: Trial-based cost-utility and cost-effectiveness analyses from the UK National Health Service perspective compared the cost-effectiveness of COPDPredict™ with usual care for a COPD GOLD stage B and D cohort. A model-based analysis was also performed by extrapolating data from the trial to obtain the-cost-utility over a 5-year time horizon. The de-novo model was constructed using GOLD stages A–D as the health states.Results: The imputed trial-based analysis showed that at a willingness to pay £ 20,000 per quality-adjusted life-year (QALY), COPDPredict™ was 65% likely cost-effective in COPD B and D patients over 6-months with an incremental cost-effectiveness ratio (ICER) of £ 11,669/QALY (incremental cost +£ 238.16 (106.42), Incremental QALY +0.02 (0.012)). The results were robust to complete case analyses over 6- and 12-months. A similar ICER (£ 11,862/QALY) was obtained when performing model-based analysis over 5-years. Cost-effectiveness was sensitive to long-term effectiveness, cost parameters and alternative model structure, with expected value of information analyses suggesting a significant benefit from future research targeting the long-term effectiveness of the intervention.Conclusion: 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.Keywords: chronic obstructive pulmonary disease, respiratory medicine, self-management, digital health, cost-effectiveness analysis, decision modelling

Institutions

Publication Details

Journal
SHILAP Revista de lepidopterología
Published
2025-05-01
Primary Topic
Magnetic confinement fusion research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

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

SHILAP Revista de lepidopterología
Magnetic confinement fusion research
article

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

article en

Abstract

James A Hall,1 Alice M Turner,2 Eleni Gkini,3 Rajnikant Mehta,4 Monica Spiteri,5 Neil Patel,5 Sue Jowett1 1Health Economics Unit, Department of Applied Health Sciences, University of Birmingham, Birmingham, UK; 2Department of Applied Health Sciences, University of Birmingham, Birmingham, UK; 3Birmingham Clinical Trials Unit, Department of Applied Health Sciences, University of Birmingham, Birmingham, UK; 4Centre for Evaluation and Methods, Wolfson Institute of Population Health, Queen Mary University of London, London, UK; 5NEPESMO Ltd, London, UKCorrespondence: Sue Jowett, Email [email protected]: Chronic obstructive pulmonary disease (COPD) is a respiratory disease associated with significant morbidity, mortality, and healthcare burden. Many COPD patients are frequent exacerbators, which has a significant impact on patient prognosis. Prompt exacerbation management using a digital tool, COPDPredict™ may support COPD patients in identifying exacerbations earlier to reduce hospital admissions.Methods: Trial-based cost-utility and cost-effectiveness analyses from the UK National Health Service perspective compared the cost-effectiveness of COPDPredict™ with usual care for a COPD GOLD stage B and D cohort. A model-based analysis was also performed by extrapolating data from the trial to obtain the-cost-utility over a 5-year time horizon. The de-novo model was constructed using GOLD stages A–D as the health states.Results: The imputed trial-based analysis showed that at a willingness to pay £ 20,000 per quality-adjusted life-year (QALY), COPDPredict™ was 65% likely cost-effective in COPD B and D patients over 6-months with an incremental cost-effectiveness ratio (ICER) of £ 11,669/QALY (incremental cost +£ 238.16 (106.42), Incremental QALY +0.02 (0.012)). The results were robust to complete case analyses over 6- and 12-months. A similar ICER (£ 11,862/QALY) was obtained when performing model-based analysis over 5-years. Cost-effectiveness was sensitive to long-term effectiveness, cost parameters and alternative model structure, with expected value of information analyses suggesting a significant benefit from future research targeting the long-term effectiveness of the intervention.Conclusion: 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.Keywords: chronic obstructive pulmonary disease, respiratory medicine, self-management, digital health, cost-effectiveness analysis, decision modelling

SHILAP Revista de lepidopterología
Institute of Health Economics (CA), Institute for Health Economics and Policy (JP), Cancer Research UK Clinical Trials Unit (GB)
Good health and well-being
Openalex Percentile: Top 70%
Magnetic confinement fusion research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.