2.4. Data Collection and Analyses
All data were disaggregated by patient and were collected digitally using the Kobo Toolkit software. A database cleaning process was performed, applying a plausibility criterion to the quantitative variables of ±4 standard deviations from the sample median to remove outliers considered potential transcription errors. Accordingly, 1 MUAC data point, 9 WHZ data points, and 17 length-of-stay (LoS) data points were eliminated. The statistical analysis was performed with the SPSS v.29 software. Qualitative variables were analyzed as percentages and compared between groups using the Chi-square test with the Yates correction or continuity correction when the expected values were less than 5 in more than 20% of the cells of the contingency tables. Since no a priori sample calculation was performed, the post hoc statistical power of the results was calculated for the primary outcome (recovery) using the GPower software [The normal distribution of quantitative variables was assessed through the Kolmogorov–Smirnov test. Subsequently, the means or medians were compared by applying Student’s 