The CAERES protocol uses the Auto-Evaluation of RESources (AERES) tool, a standardized card-sorting instrument originally developed by Bellier-Teichmann and Pomini (2015) for psychiatric populations, and subsequently validated as a strengths assessment tool in clinical populations (Bellier-Teichmann, Golay & Pomini, 2018). This study represented the first adaptation of the AERES tool to oncology.
The AERES tool comprises 31 illustrated cards organized into three dimensions: personal qualities and characteristics (11 cards, including courage, gratitude, humor, perseverance), hobbies and passions (10 cards, including cooking, reading, physical activities, music), and social and environmental resources (10 cards, including family, friends, nature, healthcare professionals), plus 3 blank cards allowing individualized additions. The card-sorting procedure involves three successive sorts: participants first identify which resources are present in their lives, then evaluate each resource's contribution to their recovery on a 4-point scale, and finally select resources they wish to develop or strengthen during the reinforcement period. The AERES tool has demonstrated good psychometric properties in previous research and provides a structured, visual method for engaging participants in a strengths-based assessment that does not rely on traditional questionnaire formats.
Following the AERES card-sorting session, the investigator prepared a personalized written report identifying the targeted resource selected by the participant for development. This report was the basis for a 3-week home-based reinforcement program in which the participant engaged with the targeted resource through self-directed exercises and reflection.
During the reinforcement program, three weekly contacts were structured: at the end of each week, a 15-minute phone call took place between the investigator and the participant to gather feedback on the past week's experience. Each phone call was followed by a personalized written feedback report sent to the participant to support their progress and reinforce engagement with the targeted resource.
The intervention used a multimodal communication approach adapted to participant preferences and circumstances. Written reports and questionnaires were delivered through email, postal mail, or in-person delivery, depending on what was most accessible and comfortable for each participant. This pragmatic flexibility reflected the real-world conditions of oncological care in Italian-speaking Switzerland and aimed at maximizing participant retention.
A quasi-experimental waitlist control design was adopted because random allocation was not feasible given the recruitment constraints across the three sites. Participants were allocated to either an immediate-intervention arm or a waitlist control arm based on the timing of their entry into the study and their treatment scheduling. The waitlist control group received the same intervention after a 3-week delay, allowing for within-subject comparison and a partial control for time effects. This design preserved the pragmatic feasibility of the study in a real-world oncological setting while maintaining a comparison condition.
Outcome assessments were conducted at three measurement time points: at baseline (before any intervention), at 3 weeks after baseline (post-intervention for the immediate-intervention group, end of waiting period for the waitlist control group), and at 6 weeks after baseline (end of study, after the waitlist control group had also completed the intervention). All measures were administered in Italian, and adaptations to recall periods were made for some instruments to align with the 3-week intervention timeline.