Journal
JOURNAL OF PALLIATIVE MEDICINE
Volume 13, Issue 11, Pages 1353-1363Publisher
MARY ANN LIEBERT, INC
DOI: 10.1089/jpm.2010.0140
Keywords
-
Categories
Funding
- HPC Healthcare Inc.
- Center for Hospice, Palliative Care, & End-of-Life Studies at the University of South Florida
Ask authors/readers for more resources
Background: Falls can pose a serious threat to hospice patients receiving palliative care. Interventions to reduce falls have yielded minimal results among older patients. Falls among hospice patients provide a unique population from which a new approach to fall prevention may need to be established. Objective: The aim is to devise a forecasting model with which to predict the probability of a patient fall and evaluate whether the model predicts patient falls better than existing measures. Methods: Two hundred patients were randomly selected from one of the largest hospices in the United States. After patient admission, patient falls were followed-up via weekly calls until a fall, patient death, or hospice discharge occurred. Independent factors included demographic, functional status, environmental measures, symptoms, medications, attitudinal dispositions, and the use of an ambulatory aid. Results: Cognitively intact hospice patients who have a higher risk of falls are those who had a past history of a fall (p = 0.022), patients that are physically more functional as demonstrated by higher score on the Palliative Performance Scale (p = .039), patients with a greater fear-of-losing-independence (p = 0.023),'' those who try to avoid asking for help (p = 0.005),'' and those who feel uneasy about asking for help (p = 0.05).'' Patients who depend on ambulatory aids were less likely to fall (p = 0.06). The forecasting model predicted patient falls correctly in 78% of the patients observed. Conclusions: The current model predicted fall occurrence far better than the Morse Falls Scale and other functional status measures and may lead to a shift in fall prevention approaches among hospice patients.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available