Online Program

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Saturday, October 5
Knowledge
Sat, Oct 5, 10:00 AM - 11:30 AM
TBD
Concurrent Session - Contributions in Public Health

Cluster Analysis to Identify Predictors of Change in Activities of Daily Living Among Bladder Cancer Patients (306360)

*Mojgan Golzy, University of Missouri-Columbia 
Katie Murray, University of Missouri-Columbia 

Keywords: Clustering, Bladder Cancer, Activities of Daily Livings

Understanding factors affecting survival outcomes and quality of life is important in advising patients on treatment options for bladder cancer. For older adults, Activities of Daily livings (ADLs) are associated with quality of life, hospital admission, health, and mortality. Patients with worse functional status at the time of hospital discharge to rehabilitation facilities are also more likely to be readmitted to acute care settings. In this study, we use cluster analysis to classify bladder cancer patients based on their level of functionality, specifically ADL measures including bathing, dressing, eating, getting out of chair, walking, and toileting. This analysis will allow for improved understanding and lead to improved expectation management of these patients when making decisions on how to proceed with treatments. We also aim to identify factors associated with decreased functional status after a diagnosis of bladder cancer at several time points after bladder cancer diagnosis including 1 year and 5 years after initial diagnosis. We will also identify the likelihood of the outcomes, death and fall, for patients in each cluster.