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Establishing a Competing Risk Regression Nomogram Model for Survival Data
Published on: October 23, 2020
Fall risk in community-dwelling elderly cancer survivors: a predictive model for gerontological nurses
Sandra Spoelstra1, Barbara Given, Alexander von Eye
1Michigan State University College of Nursing, East Lansing, Michigan 48824, USA. spoelst5@msu.edu
Abstract:
The aim of this predictive study was to test a structural model to establish predictors of fall risk in elderly cancer survivors. An aging and nursing model of care was synthesized and used to examine the Minimum Data Set for 6,912 low-income older adult participants in a community setting in the midwestern United States. Data analysis established relationships among fall risk and age, race/ethnicity, history of a previous fall, depression, pain, activities of daily living, instrumental activities of daily living, incontinence, vision, and cognitive status. Factors leading to fall risk can direct nursing activities that have the potential to prevent falls, thus improving older adults' quality of life.
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