Abstract 4705
Background
Falls are one of the best safety indicators in hospitalized cancer patients. In 2013, a security group was created to promote a culture for patient safety, to prevent, register and analyses falls at 3 cancer centers of Catalan Institute of Oncology. WHO defined falls as the result of an incident that precipitates the patients down involuntarily, includes slipping, tripping and loss of body balance. A systematic review by Wildes (2015), risk factors for hospitalized cancer patients are different from the general patient. Objective: Identify predisposing factors to fall and define the profile of the hospitalized cancer patient with higher risk to fall.
Methods
A cross-sectional, multisite study. Inclusion: patients hospitalized in 3 centers during 2017. Data recruited as voluntary report of falls in a computerized system. Variables: socio-demographic, clinical and environmental factors.
Results
118 falls were reported; 48(40.68%) in Hospitalet; 36(30.51%) in Badalona and 34(28.81%) in Girona. Falls rate was 2.53‰, with lesion was 0.41‰ and severe lesion was 1.35% in one center. Nurses initially classified patients according to Stratify®: high risk 68(59.13%) and 47(40.87%) low-risk. A previous history of fall in last 6 months was for 18(15.25%). By diagnosis 39(33.06%) was lung and head-neck, hematologic 27(22.88%) and colorectal & GI 22(18.68%). The main cause of fall were loss of balance 31(26.50%), lack of strength/ weakness 26(22.22%) and slide 20(17.09%). Location at the hospital was 65 (55.08%) in oncology services, 29(24.58%) in hematology unit and 24(20.34%) in palliative care. Contributing factors was a risky medication 113(96.58%). Factors as being alone 69(58.47%), impairment of mobility 86(73.5%) and patient does not perceived any risk 101(89.38%).
Conclusions
Lung or head-neck neoplasia, medication of risk, mobility problems and the low perception of risk were the common factors resulting associated with a fall. Pautex 2008 indicated a similar rate than our for cancer patients. Room to improve for identification of the patient according to their risk is not enough but, some activities after assessment are needed. Stratify® does not fit properly to define factors related to cancer like anemia, fatigue, chemotherapy or pain.
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
2171 - CCND1 Amplification Contributes to Immunosuppression in Head and Neck Squamous Cell Carcinoma and the Association with a Poor Response to Immune Checkpoint Inhibitors
Presenter: Chloe Huang
Session: Poster Display session 3
Resources:
Abstract
2624 - Efficacy of PD-1/PD-L1 inhibitors in the treatment of non-small cell lung cancer patients with sensitive genes mutation
Presenter: Hui-Juan Cui
Session: Poster Display session 3
Resources:
Abstract
3494 - Neutrophil to Lymphocyte Ratio (NLR) kinetics as predictors of outcomes in metastatic renal cell carcinoma (mRCC) and non-small cell lung cancer (NSCLC) patients treated with nivolumab (N).
Presenter: Audrey Simonaggio
Session: Poster Display session 3
Resources:
Abstract
3964 - Predictive markers of checkpoint inhibitor activity in adult metastatic solid tumours
Presenter: Alexandra Pender
Session: Poster Display session 3
Resources:
Abstract
3041 - Blood-based TMB (bTMB) correlates with tissue-based TMB (tTMB) in a multi-cancer Phase I IO Cohort
Presenter: Daniel Araujo
Session: Poster Display session 3
Resources:
Abstract
3910 - Analysis of Molecular Profile Complexities for Immunotherapy Decision Support
Presenter: Robert Dóczi
Session: Poster Display session 3
Resources:
Abstract
4836 - The Role of Tumor Neoantigens in the Differential Response to Immunotherapy (IO) in EGFR and BRAF Mutated Lung Cancers - Quantity or Quality?
Presenter: Katrina Case
Session: Poster Display session 3
Resources:
Abstract
1929 - Impact of previous corticosteroid (CS) exposure on efficacy of Programmed Cell Death-(Ligand) 1 blockade in patients with advanced Non-Small-Cell Lung Cancer (NSCLC): a single Center retrospective analysis
Presenter: Fabrizio Nelli
Session: Poster Display session 3
Resources:
Abstract
2601 - Comparison 18F-FDG-PET/CT criteria for prediction of therapy response and clinical outcome in patients with metastatic melanoma treated with Ipilimumab and PD-1 inhibitors
Presenter: Sabrina Vari
Session: Poster Display session 3
Resources:
Abstract
3628 - Predictive model for survival in advanced non-small-cell lung cancer (NSCLC) treated with frontline pembrolizumab
Presenter: Xabier Mielgo Rubio
Session: Poster Display session 3
Resources:
Abstract