Statistical analysis
SUR, MCI
REGRESSION, FOUNDER
Given the pragmatic nature of the study, the sample size attained and the moderate dropout level (25%), the analysis included complete cases in the follow-up. Hence, only those individuals who answered the pre-post intervention questionnaires, and whose data for estimating costs was available in the eCAP system, were included in the analysed sample. Therefore, non-included cases encompassed those individuals who either dropped out from the MCI or were lost during the study follow-up. This analytical strategy intended to capture real-world data, including individuals who attended the MCI regardless of the number of sessions attended. Accordingly, the study randomization was preserved, different therapeutic adherences were included, and the sample size was monitored carefully to ensure study rigour.Using R Studio software (Thirdly, the incremental cost-utility ratio (ICUR) was calculated based on crude and adjusted, seemingly unrelated, regression (SUR) models (The ICUR results from the quotient between the differences in the total mean costs and the QALYs between the MIC programme and the UCC adjusted by the pre-intervention values. The result is interpreted according to the cost-effectiveness plane, where 4 decision scenarios are possible across the quadrants. In 2 of these scenarios, the ICUR presents less room for doubt, as the incremental cost-effect of the new intervention is either dominated (quadrant II: north-west) by the standard practice, for proving to be more costly and less effective, or dominant (quadrant IV: south-east) concerning the latest for reducing costs and improving health. In the remaining quadrants, the interpretation relies on the threshold that the founder is willing to pay for a QALY gained, since either the new intervention is more costly, but more effective (quadrant I: north-east) or cost-saving, but less effective, compared with its alternative (quadrant III: south-west). In this regard, it is recommended that everything that falls below the threshold should be accepted and rejected otherwise (Finally, 1-way and 2-way deterministic sensitivity analyses (SA) were conducted to evaluate the robustness of the results (