Statistical analyses
REGRESSION, SENSITIVITY
Mean values and standard deviations were calculated for metric variables, and frequencies and percentages were calculated for categorical variables. To investigate the effects of the intervention on those outcome variables assessed after each consultation, linear mixed models (LMMs) were employed in an intent-to-treat analysis. Fixed effects were the control group effect, the intervention group effect, and the variables with which the randomization was stratified (hospital/practice and oncology/gynecology). The clustering of patients treated by one physician was included as a random effect. Linear regression was performed as intent-to-treat for variables assessed once after conducting all consultations, and was adjusted for baseline, hospital/practice and oncology/gynecology. As suggested in the review process an additional analysis was performed reflecting the randomization by center; using the individual centers as clusters (random effect) instead of the single physician within each center (see Supplemental Materials). Since all statistical analyses are considered exploratory, adjusted group means and 95% confidence intervals are displayed, and no sample size was calculated.Sensitivity analyses were performed for the per-protocol population (oncology physicians having KOKON-KTO consultations with at least five patients). Additionally, we controlled for the sex of the oncology physicians. Statistical analyses were conducted using RStudio [