Falls are a serious issue for the elderly living in long-term care facilities, as falls contribute to signi�cant health problems such as increased dependence, loss of autonomy, confusion, immobilization, depression, restriction in daily activities, and, in some cases, death. An estimated 424,000 fatal falls in elderly patients residing in long-term facilities occur annually in the United States costing $34 billion in direct medical costs. One way to reduce falls among elderly patients in long-term care is to assess for fall risk frequently and implement evidence-based strategies to prevent falls. Patients in this project site facility had been assessed for fall risk via the Briggs Fall Risk Assessment Tool with implementation of fall risk iinterventions only upon admission or when there was a fall. The purpose of this project was to assess whether changing to weekly use of the Briggs Fall Risk Assessment Tool with implementation of fall risk interventions by nursing staff could decrease fall rates in the elderly in long-term care in Harris County, Texas. The model of prevention served as the conceptual framework for this project. Thirty participants (20 females and 10 males) between the ages of 65-115 participated in the program. Pre-implementation data were collected for 1 month and post-implementation data were collected for 1 month. The total number of falls reported weekly was counted before and after the weekly implementation of the Briggs Fall Risk Assessment Tool. The number of falls decreased from 12(70.6%) before the implementation of the assessment tool to 5(29.4%) falls afterwards. A fall prevention program in long-term care may affect social change positively by reducing fall risk in long term care by reinforcing the importance of increased awareness of risk of falls to implement fall prevention strategies
| Identifer | oai:union.ndltd.org:waldenu.edu/oai:scholarworks.waldenu.edu:dissertations-4436 |
| Date | 01 January 2017 |
| Creators | Aliu, Omokhele Rosemary |
| Publisher | ScholarWorks |
| Source Sets | Walden University |
| Language | English |
| Detected Language | English |
| Type | text |
| Format | application/pdf |
| Source | Walden Dissertations and Doctoral Studies |
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