Statistical analysis
REGRESSION, SECONDARY
Baseline parameters and outcomes were stratified among patients with and without sensitive topics. Logistic regression analyses were conducted to evaluate factors associated with sensitive topics. Furthermore, univariable linear and logistic regression models were conducted to investigate associations of sensitive topics with primary and secondary endpoints. We additionally calculated multivariable models adjusted for study centre and randomisation arm (bedside or hallway). In the subgroup of patients with sensitive topics, potential risk factors for low satisfaction compared with high satisfaction were assessed using Student’s t-test. We used Stata V.15.0 (StataCorp, College Station, Texas, USA) for all statistical analyses. A p value of <0.05 (two-tailed) was considered statistically significant. Stata V.15.0 (StataCorp, College Station, Texas, USA) was used for all analyses.