Sensitivity analysis
To address the uncertainty and evaluate the robustness of our results, one-way deterministic sensitivity analyses were performed. Each parameter was varied over the reported 95% confidence intervals (CIs), as shown in Table In addition, a probabilistic sensitivity analysis using a Monte Carlo simulation of 1000 trials from a prior defined probability distribution was conducted to assign the 95% CIs around the model outcomes to evaluate the stochastic effects of model input parameters [Cost-effectiveness acceptability curves and scatter plots were developed from these simulations.