An increase in self-management skills for adolescent thoracic transplant recipients may improve health outcomes and facilitate a successful transition to adulthood. The iPeer2Peer program is an online peer mentorship program that has been successfully implemented as a self-management intervention in multiple chronic disease populations. This study aimed to determine the implementation and effectiveness outcomes of the iPeer2Peer program for adolescent thoracic transplant recipients. A type III, hybrid implementation-effectiveness pilot study that comprised a quasi-experimental single-arm pre-post design was used to evaluate the iPeer2Peer program. Participant mentees, ages 12-17, were recruited from 2 large Canadian transplant centers. Peer mentors, ages 18-25, were thoracic transplant recipients who had successfully transitioned to adult care and self-manage their condition. A mixed methods approach for data collection was used, including interviews, focus groups, and standardized questionnaires. Twenty mentees (median 15.0 years, IQR 3.3 years; 65% female) completed the iPeer2Peer program with 9 young adult mentors (median 21.0 years, IQR 3.0 years; 78% female). Implementation outcomes indicated that the iPeer2Peer program was perceived as feasible, adoptable, acceptable, and appropriate for adolescent thoracic transplant recipients. Significant findings were noted in mentees for increased self-management and a decrease in overall depression and anxiety symptoms. The successful implementation of the pilot iPeer2Peer program offers support to evaluate the scalability, sustainability, and cost-effectiveness of the program for adolescents with chronic illness, specifically thoracic transplant recipients. Changes to the iPeer2Peer program that facilitate a flexible delivery may help implementation and acceptance.

Fear of cancer recurrence (FCR) affects approximately 50% of family caregivers. While FCR in cancer patients has been well-documented, less is known about the experience of FCR in family caregivers. This study aimed to qualitatively explore the distinct characteristics of FCR in family caregivers. A focus group and semi-structured interviews were conducted via videoconferencing with family caregivers of cancer survivors (stages I–III, finished treatment, no recurrence). Participants were recruited through Canadian hospitals, community partners, and social media. The focus group and qualitative interviews explored family caregivers’ experiences of FCR, including its content, frequency, impact, and management. A reflexive thematic analysis was used. In total, twenty family caregivers participated. Six participated in the focus group. Sixteen participated in the interviews. Two participated in both. Family caregivers described their experience of FCR as all-consuming, constant, and marked by a sense of helplessness. Qualitative analysis revealed a major theme of relational aspects of FCR in family caregivers, with the following four inter-related themes: patient-centric hypervigilance, self-silencing, FCR as isolating, and finding support. This qualitative study examined the experiences of family caregivers living with FCR. Our findings highlight that relational factors shape how family caregivers experience and manage their FCR. High-quality survivorship care should be redefined to include FCR interventions tailored to family caregivers.

Objective: The iPeer2Peer© (iP2P©) program is an online peer mentorship program that has been successfully used for adolescents and young adults with chronic illness. This paper explores the experiences of young adult thoracic transplant recipients who acted as peer mentors in the iP2P© program. Objectives are to comprehensively understand the iP2P© mentor experience and identify recommendations for program refinement and sustainability. Methods: A qualitative description approach was used. Mentors, ages 18–25 years, were heart or lung transplant recipients who had successfully transitioned to adult care and self-managed their condition. Paired mentor–mentee dyads engaged in 5–10 video or phone calls and exchanged text messages over a 15-week period. Following program completion, a focus group with follow-up interviews and in-depth interviews was conducted. Thematic data analysis led to theme development through an iterative process with consensus among team members. Results: A total of nine participants completed mentor training and were matched with at least one mentee. Mentors (89% female) were aged 21.2 ± 2.2 years (range 18–24 years). Seven had received a heart transplant, two had received a lung transplant, and their mean time post-transplant was 8.5 ± 5.2 years. Qualitative findings illuminated three themes: (1) Gaining connection and support through shared experiences, (2) Carrying the responsibility of providing impactful mentorship, and (3) Nurturing reflection and positive self-growth through helping mentees. Conclusions: This study provides novel insights into how mentorship programs can be designed to balance the emotional and logistical demands of mentorship while maximizing its mutual benefits for mentors and mentees.

Rationale: Ketogenic Diet Therapy (KDT) is an effective but complex treatment for paediatric drug‐resistant epilepsy. Access to trained dietitians limits the global use of KDT. The increasing use of artificial intelligence (AI) chatbots for health and dietary advice presents both opportunities and risks. This exploratory study evaluates the accuracy and feasibility of AI‐generated KDT plans for paediatric epilepsy. Methods: We conducted a comparative analysis of three major AI chatbots: ChatGPT, Microsoft Copilot, and Gemini. Three clinical vignettes, one for each KDT type, were created to represent common KDT diet plans: the Classic Ketogenic Diet (Classic KD), the Medium‐Chain Triglyceride (MCT) diet, and the Modified Atkins Diet (MAD). Two KDT dietitians evaluated the AI‐generated diet plans for accuracy of macronutrient calculations, appropriateness of food choices, and overall safety and feasibility. Results: All three chatbots failed to produce accurate KD plans. In the Classic KD, none of the chatbots generated menus that matched their calculated macronutrient targets, resulting in widely varying and inaccurate ketogenic ratios. For the MCT diet, the generated menus provided significantly less MCT than prescribed and failed to meet the caloric and macronutrient goals. For the MAD, the chatbots exceeded the specified net carbohydrate limits and provided inappropriate food suggestions. Conclusion: AI chatbots, in their current state, are not reliable or safe for generating KDT plans for children with epilepsy. The inaccuracies in macronutrient calculations and inappropriate food suggestions pose significant risks. This study underscores the critical need for human oversight by qualified professionals in the clinical application of AI for specialised dietary therapies.