Table 1 shows the baseline assessment characteristics of the participants.
Fig. 2 360° e-assessment characteristics.
There are differences in patient outcome assessment tools and baseline characteristics between patients in NZ and CH, e.g. in disability compensation systems.
Therefore, we propose to include the assessment of similarity in baseline characteristics between the experimental and control groups as a standard item.
Differences in sleep characteristics between the three assessment points were compared using Analyses of Variance with repeated measures, and logistic regression analyses were used to examine the stability of sleep variables.
Overall, based on an informal qualitative assessment, positive results were reported across studies despite differences in exposure assessment, exposure levels and timing, study design, and participant characteristics between study populations.
This is important because a baseline assessment is a precondition for estimating differences in patient characteristics between the comparison groups which could influence outcome quality.
There was a 91% response rate to the initial assessment questionnaires, and analysis showed equivalence for all key characteristics between the treatment and control groups.
There were also no statistically significant differences in baseline characteristics between participants who did and did not attend a postbaseline assessment.
There were no differences in demographic or relevant clinical characteristics between those study patients with complete and missing Week 12 HRQL assessments.
