Kiely D K, Kiel D P, Burrows A B, Lipsitz L A
Hebrew Rehabilitation Center for Aged Research and Training Institute, Boston, MA 02131, USA.
J Am Geriatr Soc. 1998 May;46(5):551-5. doi: 10.1111/j.1532-5415.1998.tb01069.x.
To develop a fall risk model that can be used to identify prospectively nursing home residents at risk for falling. The secondary objective was to determine whether the nursing home environment independently influenced the development of falls.
A prospective study involving 1 year of follow-up.
Two hundred seventy-two nursing homes in the state of Washington.
A total of 18,855 residents who had a baseline assessment in 1991 and a follow-up assessment within the subsequent year.
Baseline Minimum Data Set items that could be potential risk factors for falling were considered as independent variables. The dependent variable was whether the resident fell as reported at the follow-up assessment. We estimated the extrinsic risk attributable to particular nursing home environments by calculating the annual fall rate in each nursing home and grouping them into tertiles of fall risk according to these rates.
Factors associated independently with falling were fall history, wandering behavior, use of a cane or walker, deterioration of activities of daily living performance, age greater than 87 years, unsteady gait, transfer independence, wheelchair independence, and male gender. Nursing home residents with a fall history were more than three times as likely to fall during the follow-up period than residents without a fall history. Residents in homes with the highest tertile of fall rates were more than twice as likely to fall compared with residents of homes in the lowest tertile, independent of resident-specific risk factors.
Fall history was identified as the strongest risk factor associated with subsequent falls and accounted for the vast majority of the predictive strength of the model. We recommend that fall history be used as an initial screener for determining eligibility for fall intervention efforts. Studies are needed to determine the facility characteristics that contribute to fall risk, independent of resident-specific risk factors.
开发一种跌倒风险模型,用于前瞻性地识别有跌倒风险的疗养院居民。次要目的是确定疗养院环境是否独立影响跌倒的发生。
一项为期1年随访的前瞻性研究。
华盛顿州的272家疗养院。
共有18855名居民在1991年进行了基线评估,并在随后的一年内进行了随访评估。
将可能成为跌倒潜在风险因素的基线最小数据集项目视为自变量。因变量是随访评估中报告的居民是否跌倒。我们通过计算每家疗养院的年跌倒率,并根据这些率将它们分为跌倒风险三分位数,来估计特定疗养院环境导致的外在风险。
与跌倒独立相关的因素有跌倒史、徘徊行为、使用手杖或助行器、日常生活活动能力下降、年龄大于87岁、步态不稳、转移自理能力、轮椅自理能力和男性。有跌倒史的疗养院居民在随访期间跌倒的可能性是没有跌倒史居民的三倍多。跌倒率最高三分位数的疗养院中的居民跌倒的可能性是跌倒率最低三分位数的疗养院居民的两倍多,与居民特定风险因素无关。
跌倒史被确定为与随后跌倒相关的最强风险因素,并且占模型预测强度的绝大部分。我们建议将跌倒史用作确定跌倒干预措施资格的初始筛查工具。需要开展研究以确定独立于居民特定风险因素之外导致跌倒风险的设施特征。