Title |
Structuring and validating a cost-effectiveness model of primary asthma prevention amongst children
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Published in |
BMC Medical Research Methodology, November 2011
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DOI | 10.1186/1471-2288-11-150 |
Pubmed ID | |
Authors |
G Feljandro P Ramos, Sandra Kuiper, Edward Dompeling, Antoinette DI van Asselt, Wim JC de Grauw, J André Knottnerus, Onno CP van Schayck, Tjard RJ Schermer, Johan L Severens |
Abstract |
Given the rising number of asthma cases and the increasing costs of health care, prevention may be the best cure. Decisions regarding the implementation of prevention programmes in general and choosing between unifaceted and multifaceted strategies in particular are urgently needed. Existing trials on the primary prevention of asthma are, however, insufficient on their own to inform the decision of stakeholders regarding the cost-effectiveness of such prevention strategies. Decision analytic modelling synthesises available data for the cost-effectiveness evaluation of strategies in an explicit manner. Published reports on model development should provide the detail and transparency required to increase the acceptability of cost-effectiveness modelling. But, detail on the explicit steps and the involvement of experts in structuring a model is often unevenly reported. In this paper, we describe a procedure to structure and validate a model for the primary prevention of asthma in children. |
X Demographics
Geographical breakdown
Country | Count | As % |
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Australia | 5 | 63% |
United Kingdom | 1 | 13% |
Unknown | 2 | 25% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 4 | 50% |
Scientists | 3 | 38% |
Practitioners (doctors, other healthcare professionals) | 1 | 13% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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United Kingdom | 1 | 3% |
Switzerland | 1 | 3% |
Unknown | 38 | 95% |
Demographic breakdown
Readers by professional status | Count | As % |
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Student > Master | 7 | 18% |
Researcher | 5 | 13% |
Professor > Associate Professor | 4 | 10% |
Student > Ph. D. Student | 4 | 10% |
Student > Doctoral Student | 3 | 8% |
Other | 11 | 28% |
Unknown | 6 | 15% |
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Medicine and Dentistry | 12 | 30% |
Nursing and Health Professions | 4 | 10% |
Pharmacology, Toxicology and Pharmaceutical Science | 4 | 10% |
Computer Science | 2 | 5% |
Economics, Econometrics and Finance | 2 | 5% |
Other | 9 | 23% |
Unknown | 7 | 18% |