Feasibility and effects of an eHealth intervention to support patients with a low socioeconomic position during their waiting period preceding cardiac rehabilitation 119 6 Figure 6.2 Key interface screens from the CapriXpress intervention. From left to right: Journeybased progression home page, done-pile tracker and travel bag, and multimedia messages from healthcare professionals. 6.2.6 Data analysis We analyzed our quantitative data in RStudio (Version 2023.06.0, Posit Software, PBC). We utilized medians, interquartile ranges (IQR), and non-parametric statistical tests to ensure robustness and minimize assumptions about data distribution, given our limited sample size. The level of significance was set at p £ 0.05. We transformed the raw intervention usage data into specific metrics to evaluate adherence. We calculated the use period length from the first day of use (T1) to the last completed message. The percentage of active days was determined by dividing the number of days the intervention was used by the total use period length. Daily use time was derived by summing the duration of all visits and dividing it by the number of active days. We also totaled the number of viewed messages. Adherence was considered satisfactory if participants used the intervention on at least half the days and viewed more than half the available messages. To analyze the acceptance from the adapted USE questionnaire, we classified the Likert scores as negative (1 or 2), neutral (3), or positive (4 or 5) and calculated the percentages of participants in each category. We then calculated individual scores for usability, usefulness, and satisfaction and determined the median, IQR, minimum and maximum scores for these metrics across intervention group participants. Overall acceptance was similarly assessed using these statistics. For this prototype, a score was deemed good if over 60% of the participants rated it positively. To assess the intervention’s effect on certainty and guidance during the waiting period, we calculated the median Likert scores for the CGQ items for each participant
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