Background: Survivors of lymphoma experience multiple challenges after treatment. However, a lack of knowledge of in-depth experiences of lymphoma survivors in early aftercare persists. Objective: To gain an in-depth understanding of the experiences of lymphoma survivors in early aftercare who have received an aftercare consultation based on evidence-based guideline recommendations, with an advanced practice nurse. Methods: This study used a narrative design. We recruited lymphoma survivors after a best-practice aftercare consultation with an advanced practice nurse. A total of 22 lymphoma survivors and 9 partners participated. Data were collected through narrative interviews and analyzed according to thematic narrative analysis. Results: Six themes emerged: living and dealing with health consequences, coping with work and financial challenges, having a positive outlook and dealing with uncertainty, deriving strength from and experiencing tensions in relationships, getting through tough times in life, and receiving support from healthcare professionals. Conclusions: The stories of lymphoma survivors in early aftercare revealed their experiences of how they coped with a range of challenges in their personal lives. Choosing an aftercare trajectory based on an aftercare consultation that encourages patients to think about their issues, goals, and possible aftercare options may be useful for their transition from treatment to survivorship. Implications for practice: Survivors’ social support and self-management capabilities are important aspects to be addressed in cancer care. An aftercare consultation involving shared goal setting and care planning may help nurses provide personalized aftercare.
PURPOSE: The purpose of the study is to identify demographic, clinical, lifestyle-related, and social-cognitive correlates of physical activity (PA) intention and behavior in head and neck cancer (HNC) survivors using the theory of planned behavior (TPB).METHODS: Data from two cross-sectional studies on correlates of PA in HNC survivors were pooled. Both studies used self-reports to assess PA and social-cognitive correlates. Potential correlates were collected via self-report or medical records. Univariable and multivariable multilevel linear mixed-effects models were built to identify correlates of PA intention and PA behavior (Z scores). Structural equation model analyses were conducted to study the full TPB model in one analysis, taking into account relevant covariates.RESULTS: In total, 416 HNC survivors were surveyed. Their mean (SD) age was 66.6 (9.4) years; 64% were men, and 78% were diagnosed with laryngeal cancer. The structural equation model showed that PA intention was significantly higher in HNC survivors with a history of exercising, who had a more positive attitude, subjective norm, and perceived behavioral control. Patients with higher PA intention, higher PBC, a lower age, and without unintentional weight loss or comorbidities had higher PA behavior. The model explained 22.9% of the variance in PA intention and 16.1% of the variance in PA behavior.CONCLUSIONS: Despite significant pathways of the TPB model, the large proportion variance in PA intention and behavior remaining unexplained suggests the need for better PA behavior (change) models to guide the development of PA promotion programs, particularly for the elderly. Such programs should be tailored to comorbidities and nutritional status.
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Introduction: Cancer survivors face physical, lifestyle, psychological, and psychosocial challenges. Despite the availability of aftercare services, survivors still have unmet needs. Digital aftercare programs may offer support, but their use is limited. This study aimed to examine what is needed to improve uptake and adoption of these programs. Additionally, it explored sociodemographic and clinical variables that may influence these needs. Methods: A mixed-methods approach was used, involving qualitative interviews and a questionnaire. The research was guided by the COM-B model of behaviour, which considers capability, opportunity, and motivation crucial for behaviour. Qualitative analysis was performed using the framework method. Statistical analyses involved descriptive statistics and regression analysis. Results: Fourteen cancer survivors were interviewed, and 213 participants completed the questionnaire. Findings indicated that most respondents had a positive or neutral attitude towards digital aftercare programs, believing these could address their cancer-related challenges. Still, only a small percentage had experience with them, and most were unaware of their existence. Many expressed a desire to be informed about them. Some were uncertain about their effectiveness. Others were concerned about a lack of reimbursement. No significant influence of the sociodemographic and clinical variables was found. Conclusion: Cancer survivors are generally positive about digital aftercare programs but are often unaware of their availability. Raising awareness, clarifying their value, and providing support and reimbursement could enhance uptake and adoption. Implications for Cancer Survivors: The current insights can help improve participation in digital aftercare programs, ultimately fostering health, well-being, and quality of life of cancer survivors.
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