2.7. Statistical Analysis
RECRUITMENT
Quantitative feasibility data: Statistical analysis was carried out through SPSS 26.0 (IBM Corp., Chicago, IL, USA). The analysis was performed using data from all patients recruited. We used descriptive statistics to assess study feasibility (recruitment rates, retention rates, adherence, and acceptability). Continuous data are summarized as the mean ± standard deviation (SD). Additionally, categorical data are presented as percentage (%).Secondary outcomes: To summarize the characteristics of the participants, descriptive statistics were utilized. To examine baseline differences across groups, the Chi-square test, Mann–Whitney U test, and independent Qualitative feasibility data: NVivo software (Version 11, QRS International) was used to analyze the qualitative data. The framework technique was utilized in the qualitative analysis, which includes systematic and interrelated steps of filtering and charting coded qualitative data, followed by mapping patterns in a search for understanding and explanation. The pre-existing framework, the Health Action Process Approach (HAPA) theory, was implemented to code data. Instead of constructing themes from the data, the interviews were coded by utilizing components of the HAPA model constructs as themes. Overarching patterns that demonstrated acceptability of the iNutrition intervention and factors impacting adherence/non-adherence to the iNutrition intervention were identified.