Related Experiment Video
Updated: May 27, 2026

Bronchial Thermoplasty: A Novel Therapeutic Approach to Severe Asthma
Published on: November 4, 2010
Structuring and validating a cost-effectiveness model of primary asthma prevention amongst children
G Feljandro P Ramos1, Sandra Kuiper, Edward Dompeling
1Department of General Practice, CAPHRI School for Public Health and Primary Care, Maastricht University, Maastricht, the Netherlands. feljandro.ramos@gmail.com
Developing a structured model for primary childhood asthma prevention is crucial for cost-effectiveness. This validated decision-tree model guides stakeholders in choosing between prevention strategies.
Area of Science:
- Health economics
- Pediatric respiratory medicine
- Decision science
Background:
- Rising asthma prevalence and healthcare costs necessitate effective prevention strategies.
- Existing research lacks sufficient cost-effectiveness data for primary asthma prevention programs.
- Decision analytic modeling can synthesize data for evaluating prevention strategy cost-effectiveness.
Purpose of the Study:
- To describe a procedure for structuring and validating a model for primary childhood asthma prevention.
- To address the need for transparent and credible cost-effectiveness models in public health.
Main Methods:
- An expert panel convened for round-table discussions to structure the cost-effectiveness model.
- Structural validity was assessed using descriptive validation with experts and parallel validation against existing models.
- A decision-tree structure was developed comparing current care with screening and prevention strategies.
Main Results:
- A decision-tree model was successfully developed, comparing current care with multifaceted and unifaceted prevention approaches for childhood asthma.
- The model's structural validity was confirmed through expert consensus (descriptive validation) and comparison with other models (parallel validation).
- No similar models addressing this specific decision problem were identified in the literature.
Conclusions:
- Expert-driven, systematic model development enhances transparency and credibility for cost-effectiveness evaluations.
- Parallel validation offers a practical method for validating novel decision-analytic models.
- The described process provides a framework for developing and validating future health intervention models.
Related Concept Videos
Asthma: Pathogenesis and Management
Asthma is classified as allergic and non-allergic. Allergens such as dust mites, pollen, and pet dander trigger allergic asthma, while factors like cold air, intense emotions, or exercise can induce non-allergic asthma.
Asthma-IV: Diagnostic and Management
Clinical Assessment for Asthma:
This is the first step in diagnosing and managing asthma. It includes:
Asthma-II: Pathophysiology and Classification
Additionally, environmental and genetic factors play crucial roles in determining an individual's susceptibility to asthma and the severity of their condition.
Critical processes in asthma pathophysiology include:
Asthma-IV: Nursing Management
First, in...
Asthma I: Introduction
Asthma-I: Introduction
