An Introduction to Decision Analysis in the Economic Evaluation of the Prevention and Treatment of Vision-Related Diseases
Steven M. Kymes
Abstract
Steven M. Kymes
Abstract
Economic evaluation in the form of reports of cost-effectiveness of the treatment and prevention of disease has only recently found widespread application in the visual sciences. While economic evaluation takes a number of forms: cost-minimization analysis, cost-benefit analysis, and cost-effectiveness analysis--it is the latter that is seen most often in the evaluation of vision-related health programs. Cost-effectiveness analysis is in particular seen most commonly in its very particular form of cost-utility analysis. Decision analysis is the analytic method most commonly used to perform cost-effectiveness analysis. In decision analysis, the expected cost and effectiveness of a health program are estimated in a rigorous fashion. In this report, we take the reader through the process of decision analysis including building the tree; populating the model with parameters for risk, cost and benefit; estimating expected cost and benefit; and deterministic and probabilistic sensitivity analysis. Examples employed include prominent studies of the cost-effectiveness of photodynamic therapy for treatment of neovascular macular degeneration and the treatment ocular hypertension to prevent glaucoma.
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Economic evaluation in the form of reports of cost-effectiveness of the treatment and prevention of disease has only recently found widespread application in the visual sciences. While economic evaluation takes a number of forms: cost-minimization analysis, cost-benefit analysis, and cost-effectiveness analysis--it is the latter that is seen most often in the evaluation of vision-related health programs. Cost-effectiveness analysis is in particular seen most commonly in its very particular form of cost-utility analysis. Decision analysis is the analytic method most commonly used to perform cost-effectiveness analysis. In decision analysis, the expected cost and effectiveness of a health program are estimated in a rigorous fashion. In this report, we take the reader through the process of decision analysis including building the tree; populating the model with parameters for risk, cost and benefit; estimating expected cost and benefit; and deterministic and probabilistic sensitivity analysis. Examples employed include prominent studies of the cost-effectiveness of photodynamic therapy for treatment of neovascular macular degeneration and the treatment ocular hypertension to prevent glaucoma.
Key concepts: Medicine, Cost-effectiveness analysis, Decision analysis, Cost–benefit analysis, Economic evaluation, Risk analysis (engineering), Economic analysis, Decision tree