After collecting data and encoding and logging into the computer, using spss 11 software, data analysis is done using descriptive and inferential statistics. To describe the characteristics of the research units in the two groups, descriptive statistics including frequency distribution and percentages, and central inclination and dispersion, mean, and standard deviations are used. In the analytical statistics, a quantitative data test was performed using Kolmogorov-Smynov and Shapiro Wilk tests. To determine the homogeneity of data in two groups, Chi-square or Fisher test for qualitative variables and independent t-test for quantitative variables and if the abnormality is used, the Mann-Whitney test will be used. Also, intra-group comparisons based on whether data are normal or not, paired t-test or Kruskal-Wallis tests will be used. To determine the relationship between the underlying and interventional variables, two groups of variance analysis or covariance analysis will be used in three groups. To compare the cost-effectiveness of the two methods of peer-to-peer training, with the help of a statistic expert, Tree Age's decision tree model and software will be used. For all tests, the confidence coefficient will be 95%