Evidence map›Paper›PMID 40453980›Full record

ArticleInternational journal of chronic obstructive pulmonary disease2025

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, Alice M Turner, Eleni Gkini, Rajnikant Mehta, Monica Spiteri, Neil Patel, Sue Jowett

Abstract read
In one paragraph

Article in International journal of chronic obstructive pulmonary disease, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

James A HallHealth Economics Unit, Department of Applied Health Sciences, University of Birmingham, Birmingham, UK.ORCID 0000-0001-8024-5427
Alice M TurnerDepartment of Applied Health Sciences, University of Birmingham, Birmingham, UK.ORCID 0000-0002-5947-3254
Eleni GkiniBirmingham Clinical Trials Unit, Department of Applied Health Sciences, University of Birmingham, Birmingham, UK.ORCID 0000-0001-8083-2947
Rajnikant MehtaCentre for Evaluation and Methods, Wolfson Institute of Population Health, Queen Mary University of London, London, UK.
Monica SpiteriNEPESMO Ltd, London, UK.ORCID 0000-0003-3638-3085
Neil PatelNEPESMO Ltd, London, UK.
Sue JowettHealth Economics Unit, Department of Applied Health Sciences, University of Birmingham, Birmingham, UK.ORCID 0000-0001-8936-3745

Funding

National Institute for Health Research (NIHR) Invention for Innovation (i4i) Programme NIHR200002
6 · The paper itself

Abstract

Purpose: 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.

Indexed as

Decision Support Systems, ClinicalDecision Support TechniquesHealth Care CostsLungPulmonary Disease, Chronic ObstructiveAgedCost-Benefit AnalysisDisease ProgressionFemaleHumansMaleMiddle AgedModels, EconomicPredictive Value of TestsQuality-Adjusted Life YearsSeverity of Illness Indexchronic obstructive pulmonary diseasecost-effectiveness analysisdecision modellingdigital healthrespiratory medicineself-management

Identifiers

PMID40453980
PMCPMC12122662

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.