Abstract 5010
Background
Although immunotherapy treatment (ImT) supposes a great advance for cancer patients, it also presents a challenge to health professionals, not only because of their adverse-event profile differs from chemotherapy or radiotherapy but, because it introduces new areas of clinical practice. All Immunotherapy Clinical Guidelines highlight the importance of prevent adverse effects related-IrAE, education and monitoring patients is crucial. In 2018 the Catalan Institute of Oncology (ICO), along with 4 European oncology institutions launched the VIKHI project, (Virtual International Knowledge Hub in Inmuno-Therapy) to improve care delivery, education of professionals and patients on receiving ImT through a comprehensive training program. Objective: cross-sectional study evaluating knowledge that patients have about their immunotherapy treatment.
Methods
From July 2018-March 2019, all patients treated with ImT first time were recruited non-probabilistic sample. They had to answer 10 questions about their knowledge on disease & treatment, and quality of life with EORTC-QLC30 scale. The interviews were conducted by clinical nurse specialist.
Results
A total of 85 patients. By tumors; lung 74.11%, head-neck 7.05%, melanoma 5.88%, renal 3.52% and double tumors 9.41%. They received ImT as part as their standard treatment in 62.35% and 37.64% as clinical trial and in 31.77% were their first treatment. 91.76% patients were knowledgeable about receiving ImT, but only 3.52% were not aware and 4.70% describe Chemo+ImT. About being able to identify complications, diarrhoea was the most described by 25.23%, followed by skin problems by 23.38%, thyroid problems and fever 13.53% and alopecia by 0.30%. Only two patients were unable to identify any. Informed by oncologist 63.5% and by nurses 32.9%. Only 7% of patients considered being fully informed.
Conclusions
Still room to improve about patient education and communication for patients receiving ImT. It would be important to train the HCP’s, especially nurses, so that they can effectively inform and educate patients.
Clinical trial identification
Editorial acknowledgement
Legal entity responsible for the study
Catalan Institute of Oncology.
Funding
Independent Educational Grant from Pfizer IGCL Grant ID: 34096003.
Disclosure
All authors have declared no conflicts of interest.
Resources from the same session
3523 - Results of a global external quality assessment scheme for EGFR testing on liquid biopsy
Presenter: Nicola Normanno
Session: Poster Display session 3
Resources:
Abstract
3295 - Clinical impact of plasma Next-Generation Sequencing (NGS) in advanced Non-small cell lung cancer (aNSCLC)
Presenter: Laura Bonanno
Session: Poster Display session 3
Resources:
Abstract
5632 - Feasibility study of a ctEGFR prototype assay on the fully automated Idylla™ platform
Presenter: Martin Reijans
Session: Poster Display session 3
Resources:
Abstract
3614 - Enhanced Access to EGFR Molecular Testing in NSCLC using a Cell-Free DNA Tube for Liquid Biopsy
Presenter: Theresa May
Session: Poster Display session 3
Resources:
Abstract
5664 - Analysis of circulating tumor DNA in paired plasma and sputum samples of EGFR-mutated NSCLC patients
Presenter: Christina Grech
Session: Poster Display session 3
Resources:
Abstract
4945 - Liquid biopsy and Array Comparative Genomic Hybridization (aCGH)
Presenter: Panagiotis Apostolou
Session: Poster Display session 3
Resources:
Abstract
5746 - Next-generation sequencing panel verification to detect low frequency single nucleotide and copy number variants from mixing cell line studies
Presenter: Rocio Rosas-Alonso
Session: Poster Display session 3
Resources:
Abstract
5901 - Automated rarefaction analysis for precision B and T cell receptor repertoire profiling from peripheral blood and FFPE-preserved tumor
Presenter: Luca Quagliata
Session: Poster Display session 3
Resources:
Abstract
2027 - A Heptamethine cyanine dye is a potential diagnostic marker for Myeloid-Derived Suppressor Cells
Presenter: Chaeyong Jung
Session: Poster Display session 3
Resources:
Abstract
5517 - Molecular fingerprinting in breast cancer (BC) screening using Quantum Optics (QO) technology combined with an artificial intelligence (AI) approach applying the concept of “molecular profiles at n variables (MPnV)”: a prospective pilot study.
Presenter: Jean-Marc Nabholtz
Session: Poster Display session 3
Resources:
Abstract