(1) Student – t test for continue variables or Chi-Square test for categorical variables, data mean ± Sd.
*P values were calculated with the use of Fisher's exact test for categorical variables and Student's test for continue variables.
To identify risk factors, a questionnaire was completed for all the studied patients and the data of VRE positive and negative groups were compared using Man-Withney U test for continues data and the Fisher exact test for categorical data.
For each indicator, we calculated frequencies, or means and medians, in 1993 and 2012 and compared them using Pearson's Chi2 test for categorical variables or t-Student test for continue quantitative variables.
Material and methods: A computer quizz-test for continuing education was proposed to the staff.
T-test (for continuing variables), chi-square test (for discrete variables) and multiple linear regression will be used, the latter to investigate how specific variables (like baseline prescriptions, region, size of PCG, size of assisted population, age and sex of GP, month of follow-up, etc) can affect outcomes.
T-test (for continuing variables), chi-square test (for discrete variables), time series analysis and multiple linear regression will be used, the latter to investigate in secondary analyses how specific variables (baseline prescriptions, province, health district, size of assisted population) can affect outcomes.
Physicians have been taught to consider threshold post-test probabilities for continuing testing or initiating therapy, with thresholds set based on careful consideration of the risks and benefits of continued testing or initiation of therapy.
