Abstract 5942
Background
Fatigue represents a complex and frequent symptom in cancer patients and influences their quality of life. Although nurses consider the initial evaluation of the patient to be fundamental, this problem is underestimated in clinical practice and often leads to under-treatment. In addition, the patients and their families still often do not report the symptom because they fear that it will lead to a reduction or suspension of treatment or they think that the symptom is inevitable.
Methods
Mixed methods study. Data were collected using Brief Fatigue Inventory, patients’ interviews, focus groups with nurses and analysis of patients’ records. The setting is represented by two impatient departments of Oncology Institute of Southern Switzerland. Quantitative data were analysed with SPSS 22.0. For the interviews and focus groups, the analysis processes were conducted according to conventional content analysis using Nvivo 10 software.
Results
71 questionnaires were analysed, 39 males and 32 females. The mean age was 65,7±14 years. Fatigue was reported 5 times (7%) in nursing documents and 17 times problems fatigue was reported by nurses 5 times (7%) in patients’ records, while in 17 cases (23.9%) related problems were reported. 12 patients were interviewed. Five themes were identified: feeling powerless and aggressive, my strategies or what helps me, feeling reassured by the presence of family members, feeling reassured by nurses’ gesture, to be informed. Three themes were identified from nurses focus group: objectivity and subjectivity in the assessment of asthenia, nursing contribution in the multidisciplinary management of asthenia and difficulty in evaluating outcomes.
Conclusions
A not systematic approach to the management of fatigue emerges. Patients are satisfied with the care received but would like more information and specific interventions. Quantitative and qualitative results seem converge. Fatigue is still an underestimated problem in clinical practice. Specific training interventions for health professionals are needed.
Clinical trial identification
Editorial acknowledgement
Legal entity responsible for the study
The authors.
Funding
Scientific Research Advisory Board (ABREOC).
Disclosure
All authors have declared no conflicts of interest.
Resources from the same session
2152 - Inferring the correlation between incidence rates of melanoma and the average tumor-specific epitope binding ability of HLA class I molecules in different populations
Presenter: Istvan Miklos
Session: Poster Display session 3
Resources:
Abstract
4382 - Thermal Liquid Biopsy as a Valuable Tool in Lung Cancer Screening Programs
Presenter: Alberto Rodrigo
Session: Poster Display session 3
Resources:
Abstract
2465 - Towards a screening test for cancer by circulating DNA analysis
Presenter: Rita Tanos
Session: Poster Display session 3
Resources:
Abstract
3788 - Evaluation of a successful launch of the MammaPrint and BluePrint NGS kit
Presenter: Leonie Delahaye
Session: Poster Display session 3
Resources:
Abstract
3863 - Analysis of prognostic factors on overall survival in elderly women treated for early breast cancer using data mining and machine learning
Presenter: Pierre Heudel
Session: Poster Display session 3
Resources:
Abstract
1993 - Circulating tumor cell detection in epithelial ovarian cancer using dual-component antibodies targeting EpCAM and FRα
Presenter: Na Li
Session: Poster Display session 3
Resources:
Abstract
4281 - CEUS of the breast: Is it feasible in improved performance of BI-RADS evaluation of critical breast lesions?——A multi-center prospective study in China
Presenter: Jun Luo
Session: Poster Display session 3
Resources:
Abstract
2268 - Classification of abnormal findings on ring-type dedicated breast PET for detecting breast cancer
Presenter: Shinsuke Sasada
Session: Poster Display session 3
Resources:
Abstract
4035 - Prediction of benign and malignant breast masses using digital mammograms texture features
Presenter: Cui Yanhua
Session: Poster Display session 3
Resources:
Abstract
5678 - Nanomaterials Augmented LDI-TOF-MS for Hepatocellular Carcinoma Diagnosis and Classification
Presenter: Jian Zhou
Session: Poster Display session 3
Resources:
Abstract