使用停止老年人事故、死亡和伤害算法评估社区居住老年人跌倒风险。

IF 2.3 4区 医学 Q2 NURSING
Nursing Open Pub Date : 2025-09-01 DOI:10.1002/nop2.70299
Kyeongra Yang, Anita Van Wingerden, Marta Galagoza, Karla Soldevilla, Ethan A Lim, Mary L Wagner
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引用次数: 0

摘要

目的:为了确定有跌倒风险的个体和导致其风险的因素,我们使用疾病控制和预防中心的停止老年人事故、死亡和伤害(STEADI)评估筛选了社区居住的老年人。设计:描述性相关研究设计。方法:在虚拟跨专业教育活动(IPE)中对社区居住的65岁或以上的老年人进行跌倒风险筛查。筛查包括人口统计学问题、跌倒风险感知、药物问题和使用STEADI算法的身体评估(定时起身和行走测试、单腿测试、30秒坐到站)。筛选数据采用qualics收集,描述性数据采用SPSS进行分析。结果:共有114名65岁及以上的社区志愿者接受了跌倒风险筛查。使用STEADI跌倒风险问卷,84名参与者(73.7%)表现出至少一种临床证实的跌倒风险因素,39名参与者(34.2%)有四种或更多风险因素。身体评估确定37名参与者(32.5%)有腿部功能性无力,47名参与者(41.2%)活动能力差,32名参与者(28.1%)平衡能力差。结果,改进的STEADI算法确定了68例(59.6%)有跌倒风险,最常讨论的SMART目标与身体评估数据问题有关(34.5%)。患者或公众贡献:我们的研究证实了多方面的STEADI评估在识别可能无法通过正常标准护理检测到的有跌倒风险的社区个体方面的有效性。教育护士如何进行全面的跌倒风险评估,并制定相应的行动计划,以实现SMART目标,对于确保对患者进行彻底筛查和护理至关重要。协作的跨专业教育方案可以帮助培训卫生专业学生,使他们获得进行全面跌倒风险筛查和根据这些发现制定未来护理计划目标的宝贵技能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Assessment of Fall Risk in Community-Dwelling Older Adults Using the Stopping Elderly Accidents, Deaths, and Injuries Algorithm.

Assessment of Fall Risk in Community-Dwelling Older Adults Using the Stopping Elderly Accidents, Deaths, and Injuries Algorithm.

Aim: To identify individuals at risk of falls and the factors contributing to their risk, we screened community-dwelling older adults using the Centers for Disease Control and Prevention's Stopping Elderly Accidents, Deaths, and Injuries (STEADI) Assessments.

Design: A descriptive correlational study design.

Methods: Fall risk screenings with community-dwelling older adults aged 65 or older were conducted during a virtual interprofessional education event (IPE) for fall risk screening. The screening included demographic questions, perception of fall risks, medication questions and physical assessments (Timed Up and Go test, Single Leg test, 30-Second Sit to Stand) using the STEADI algorithm. Screening data were collected via Qualtrics, and descriptive data analyses were performed using SPSS.

Results: In total, 114 community volunteers aged 65 or older were screened for fall risk. Using the STEADI Fall Risk questionnaire, 84 participants (73.7%) exhibited at least one clinically proven risk factor for falls, with 39 (34.2%) having four or more risk factors. The physical assessments identified 37 participants (32.5%) with functional leg weakness, 47 (41.2%) had poor mobility and 32 (28.1%) had poor balance. As a result, the modified STEADI algorithm identified 68 (59.6%) with fall risk and the most frequently discussed SMART objectives were related to physical assessment data issues (34.5%).

Patient or public contribution: Our study confirmed the effectiveness of a multifaceted STEADI assessment in identifying community individuals at risk for falls who may not be detected through the normal standard of care. Educating nurses on performing comprehensive fall risk assessments and creating corresponding action plans with SMART objectives is essential to ensure thorough screening and care of their patients. A collaborative, interprofessional education programme can help train health professional students to gain valuable skills in conducting comprehensive fall risk screenings and developing objectives for future care plans based on those findings.

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来源期刊
Nursing Open
Nursing Open Nursing-General Nursing
CiteScore
3.60
自引率
4.30%
发文量
298
审稿时长
17 weeks
期刊介绍: Nursing Open is a peer reviewed open access journal that welcomes articles on all aspects of nursing and midwifery practice, research, education and policy. We aim to publish articles that contribute to the art and science of nursing and which have a positive impact on health either locally, nationally, regionally or globally
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