Fay W. Boozman College of Public Health, University of Arkansas for Medical Sciences, 4301 West Markham Street, Slot 820, Little Rock, Arkansas 72205, USA.
Fay W. Boozman College of Public Health, University of Arkansas for Medical Sciences, 4301 West Markham Street, Slot 820, Little Rock, Arkansas 72205, USA.
Geriatr Nurs. 2023 Sep-Oct;53:191-197. doi: 10.1016/j.gerinurse.2023.07.017. Epub 2023 Aug 2.
Obesity among United States nursing home (NH) residents is increasing. These residents have special care needs, which increases their risk for falls and falls with injuries. NH are responsible for ensuring the health of their residents, including minimizing falls. However, given the special care needs of residents with obesity, different factors may be important for developing programs to minimize falls among this group.
We aimed to identify NH characteristics associated with falls and falls with injuries among residents with obesity.
We used resident assessment data and logistic regression analysis.
We found that rates of falls and falls with injuries among residents with obesity varied significantly based on for-profit status, size, acuity index, obesity rate among residents, and registered nurse hours per patient day.
Recommendations are made as to how NH may be able to lower risk for falls and falls with injuries among their residents with obesity.
美国养老院（NH）居民的肥胖率正在上升。这些居民有特殊的护理需求，这增加了他们跌倒和受伤跌倒的风险。NH 有责任确保居民的健康，包括尽量减少跌倒。然而，鉴于肥胖居民的特殊护理需求，对于制定旨在减少该人群跌倒的计划，不同的因素可能很重要。
我们旨在确定与肥胖居民跌倒和受伤跌倒相关的 NH 特征。
我们使用居民评估数据和逻辑回归分析。
我们发现，肥胖居民的跌倒率和受伤跌倒率根据营利性、规模、 acuity 指数、居民肥胖率和每位患者每天注册护士小时数的不同而有显著差异。
就 NH 如何降低肥胖居民跌倒和受伤跌倒的风险提出了建议。
