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Identifying potentially cost effective chronic care programs for people with COPD
L M G Steuten1, K M M Lemmens, A P Nieboer
1Maastricht University Medical Centre, School for Care and Public Health Research, Department of Health, Organisation, Policy and Economics, Maastricht, The Netherlands. lotte.steuten@beoz.unimaas.nl
Identifying cost-effective multi-component programs for chronic obstructive pulmonary disease (COPD) is challenging. While some programs show reduced hospitalization risk, robust evidence for significant outcome improvements and cost savings is limited.
Area of Science:
- Health Economics
- Pulmonary Medicine
- Evidence-Based Practice
Background:
- Chronic obstructive pulmonary disease (COPD) management requires effective, cost-efficient interventions.
- Multi-component programs aim to improve patient outcomes and healthcare resource utilization.
- Evaluating the cost-effectiveness of these complex interventions is crucial for healthcare decision-making.
Purpose of the Study:
- To systematically review the cost-effectiveness of multi-component COPD programs.
- To provide a framework for identifying potentially cost-effective COPD management strategies.
Main Methods:
- Systematic literature search of Medline and Cochrane databases.
- Inclusion of studies evaluating multi-component disease management or chronic care programs for adults with COPD.
- Descriptive summarization of extracted data on process, intermediate, and end results.
Main Results:
- Seventeen unique COPD programs were identified across 20 articles.
- Limited evidence for significant improvements in process and intermediate outcomes, with exceptions in self-management education and knowledge.
- COPD programs with three or more components demonstrated reduced hospitalization risk compared to usual care, but limited cost savings were observed.
Conclusions:
- Identifying cost-effective multi-component COPD programs is hindered by a scarcity of methodologically sound studies.
- Estimating potential cost-effectiveness can aid decision-making despite data limitations.
- Further well-designed health economic studies are essential to reduce decision uncertainty.
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