Revisiting the decision rule of cost-effectiveness analysis under certainty and uncertainty.

摘要: The classical decision rule of cost-effectiveness analysis uses a threshold ratio as cut-off point for resources allocation. One assumption this is complete divisibility health care programs. In article, we argue that programs cannot be completely divisible since individuals are not divisible. Consequently, instead linear programming approach, an integer approach to budget allocation suggested. framework can extended include uncertainty in the analysis. An objective function (expected aggregate effects) maximised subject constraint probability exceeding limited arbitrary level (e.g., 0.05). case exceeded, penalised order account opportunity costs additional resource requirements.