Data collection and analysis
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To keep the participant's strain to a minimum, we collected as much information as possible from the clinical information systems (CIS) and next of kin (e.g. contact information, disease- and therapy-related characteristics). At inclusion in the study, we recorded their baseline measurements (e.g. sociodemographic characteristics not available from CIS) and quality of life assessed in form of the EQ-5D Visual Analogue Scale (VAS) [We compiled a statistical analysis plan (SAP) a priori that was already geared towards a large-scale study. Descriptive statistics were used to determine participant characteristics and to check their distribution at baseline in the intervention and control group. We calculated point and interval estimates where appropriate. Continuous data are presented as mean and standard deviation or median and interquartile range, depending on whether the values were normally distributed; normal distribution was tested with Shapiro–Wilk test. Categorical data are reported as counts and percentages. The primary outcome physical HRQOL was compared six months post randomisation between intervention and control group. As our overarching goal was to evaluate the feasibility of delivering an RCT comparing usual care with an ICU follow-up clinic, the study was not designed to measure differences between treatment groups (e.g. no power calculation). Therefore, no formal hypothesis testing was performed. Nevertheless, we undertook descriptive analyses on the outcome measures of interest. Data management was done with Microsoft© Access© 2016. Analyses were performed with IBM® SPSS© Statistics version 26.0 and 28.0.