Data analysis
No similar studies are available from which a sample size can be calculated.This study used a randomized controlled study design, and it was set to detect a 10% improvement on a 5-point scale measuring patient satisfaction with medicine information and patient concerns about medicine. From the literature, a mean score of 3.5 ± 0.5 is anticipated [Power was set by the authors to 90% and p-values less than 0.05 were considered statistically significant. Thus, a sample size of 43 patients was calculated [Quantitative data from the patient interviews were analyzed in Microsoft Excel (for Office 365 MSO) and IBM SPSS (Version 25) with descriptive statistics and simple parametric statistics. Mann-Whitney U test were used for analysis of ordinal variables (five-point scale) and Chi-Square test were used for nominal variables (gender, yes/no). Data are displayed as the mean of rating ± SD (Standard Deviation) unless otherwise specified. A confidence interval (CI) was calculated using the Clopper-Pearson method for the primary outcome data using nominal variables. An independent t-test was used to test for difference in age and number of medications by admission and discharge. Test for normality was done using Shapiro-Wilk test. If data did not show a normality distribution a Wilcoxon rank sum test was used to test for difference. Free text comments were not analyzed explicitly but were solely used to support the interpretation of the patient interview.