Comparer des méthodes
Examinez les méthodes sélectionnées côte à côte ; les lignes qui diffèrent sont mises en évidence.
| La disposition à payer (DAP) en économie de la santé× | Modélisation analytique de décision en économie de la santé× | |
|---|---|---|
| Domaine | Économie de la santé | Économie de la santé |
| Famille | Process / pipeline | Process / pipeline |
| Année d'origine≠ | 1980s | 1975 |
| Auteur d'origine≠ | Carson & Louviere (stated preference/contingent valuation methods) | Pauker & Kassirer (medical decision analysis, Massachusetts General Hospital) |
| Type | Method | Method |
| Source fondatrice≠ | Carson, R. T., & Louviere, J. J. (2011). A Common Nomenclature for Stated Choice Studies. In S. Hess & A. Daly (Eds.), Choice Modelling: The State of the Art and the State of Practice. Cheltenham: Edward Elgar. link ↗ | Pauker, S. G., & Kassirer, J. P. (1975). Therapeutic Decision Making: A Cost-Benefit Analysis. New England Journal of Medicine, 293(5), 229-234. DOI ↗ |
| Alias≠ | WTP, contingent valuation, stated preference method | decision analysis, decision tree, decision model, health economic model |
| Apparentées | 5 | 5 |
| Résumé≠ | Willingness to pay (WTP) is an economic valuation method that elicits what individuals or society are willing to spend for a health benefit or to avoid a health risk. Rooted in contingent valuation (Carson & Louviere, 1980s), WTP is used to monetize health outcomes for cost-benefit analysis and to infer implicit cost-effectiveness thresholds from actual healthcare spending patterns. Unlike revealed preference (observing actual spending behavior), WTP uses stated preferences—surveys asking respondents: 'How much would you pay for this health improvement?' | Decision analytic modeling is a systematic framework for comparing health interventions by integrating evidence on probabilities, outcomes, costs, and patient preferences into a quantitative model. Developed by Pauker and Kassirer in 1975, decision analysis structures clinical uncertainty and economic trade-offs, enabling transparent comparison of treatment options and identification of optimal strategies. Used in health technology assessment, clinical practice guideline development, and resource allocation decisions. |
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