A simplified cost-effectiveness model to guide decision-making for shortened anti-tuberculosis treatment regimens

User-friendly models (UFMs) allow local decision makers to explore relationships and apply results from more detailed models of such outcomes as costeffectiveness. When developing UFMs, modelers must decide which simplifications may be appropriate, enabling the UFM to retain accuracy while reducing complexity. We use the example of cost-effectiveness analysis (CEA) for novel shortened anti-tuberculosis treatment regimens across four settings to demonstrate how UFMs can allow decision makers to adapt published results to their local context. We simplified a complex model to produce a UFM that provides similar results, the ability to modify key parameter values, and receive customized results in seconds.