Abstract 3541
Background
Cancer follow-up care continues to evolve to incorporate complex programs of supportive care to address long-term disease consequences. However, care may be prescriptive and fragmented, contributing to uncertainty among cancer survivors. As major stakeholders in follow-up care for cancer survivors, nurses are ideally positioned to ensure supportive care is person-centred and responsive to patients’ needs. We recently conducted a study to summarize the evidence related to cancer survivors’ preferences for supportive care and examine the ways in which these preferences are embedded in current guidelines and policies informing cancer survivorship care. This presentation discusses specific implications of these findings for oncology nursing.
Methods
Phase 1 of the study comprises an integrative review of the empirical literature regarding cancer survivors’ preferences for supportive care, with literature sourced from bibilographic databases and analysed according to principles of thematic analysis. In Phase 2, clinical practice guidelines and policy documents guiding supportive care in cancer survivorship are evaluated using content analysis methods to ascertain alignment with the findings of Phase 1. Finally, we conduct a critical analysis of the results through the lens of oncology nursing practice.
Results
Findings of the integrative review and content analysis of practice and policy guidelines highlight issues related to where and when supportive care is accessed and the types and features of supportive care services. Given that these gaps intersect with nursing practice, they serve as potential targets of knowledge translation activities. Impacts on survivors’ experiences are illustrated with exemplars derived from recent qualitative studies conducted in Canadian and Irish contexts.
Conclusions
As novel programs are developed to meet the needs of the growing population of cancer survivors, a consideration of survivors’ preferences is essential. We offer specific ways in which nursing practice and scholarship can be leveraged to ensure the translation of this knowledge into care, making visible the survivors’ voice in this process.
Clinical trial identification
Editorial acknowledgement
Legal entity responsible for the study
The authors.
Funding
Has not received any funding.
Disclosure
All authors have declared no conflicts of interest.
Resources from the same session
2671 - Luminal B breast cancer prognosis prediction by comprehensive analysis of Homeobox genes
Presenter: Ayako Nakashoji
Session: Poster Display session 3
Resources:
Abstract
2650 - Long non-coding RNA E2F4as promotes tumor progression and predicts patient prognosis in human ovarian cancer
Presenter: Sun-Ae Park
Session: Poster Display session 3
Resources:
Abstract
1462 - FGF19 promotes esophageal squamous cell carcinoma progression by inhibiting autophagy
Presenter: Lisha Ying
Session: Poster Display session 3
Resources:
Abstract
5787 - Proof of concept on the role of ex vivo lung cancer spheroids, cytokines expression and PBMCs profiling in monitoring disease history and response to treatments.
Presenter: Raimondo Di Liello
Session: Poster Display session 3
Resources:
Abstract
5253 - Circulating microRNAs related to DNA damage response as predictors of survival in metastatic non- small cell lung cancer patients treated with platinum-based chemotherapy
Presenter: Dimitris Mavroudis
Session: Poster Display session 3
Resources:
Abstract
5286 - Prognostic value of CTCs in advanced NSCLC patients treated with platinum-based chemotherapy
Presenter: Silvia Calabuig-Fariñas
Session: Poster Display session 3
Resources:
Abstract
5781 - Exosomes in NSCLC as a source of biomarkers
Presenter: Elena Duréndez
Session: Poster Display session 3
Resources:
Abstract
1447 - The role of Pim-1 in the development and progression of papillary thyroid carcinoma
Presenter: Xin Zhu
Session: Poster Display session 3
Resources:
Abstract
1323 - Development and Validation of a RNA-Seq Based Prognostic Signature in Neuroblastoma
Presenter: Jian-Guo Zhou
Session: Poster Display session 3
Resources:
Abstract
3290 - Identification of meningioma patients in high risk of tumor recurrence using microRNA profiling
Presenter: Josef Srovnal
Session: Poster Display session 3
Resources:
Abstract