评估非惩罚性跌倒预防计划的效果。

HCA healthcare journal of medicine Pub Date : 2024-10-01 eCollection Date: 2024-01-01 DOI:10.36518/2689-0216.1908
Nicki Roderman, Shandlie Wilcox, Cynthia Lang
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引用次数: 0

摘要

项目背景我们的单中心质量改进项目评估了减少跌倒计划的影响,同时采用了 "公正文化算法",包括每周对一线员工的跌倒情况进行审查,并采用非惩罚性的结构。该项目取得了成功的结果:方法:在开始实施该计划之前,该机构的数据显示跌倒率高于全国每 1000 个病人日 3-5 次的跌倒率。为了实现将跌倒率降至 3.1 以下的目标,该机构成立了一个跨学科跌倒委员会,成员包括护士、护理领导、病人护理技师、药剂师和理疗师。该委员会以非惩罚性的形式运作,包括所有直接参与跌倒相关事件的工作人员。委员会制定了循证预防计划的实施规程,以便:(1)解决环境问题;(2)教育临床工作者和患者家属;(3)实施干预措施;(4)每周进行非惩罚性圆桌讨论;(5)提供领导支持。采取措施积极预防跌倒。每月收集数据并向所有部门报告:实施该计划后,结果显示每 1000 个病人日的平均跌倒率从干预前(4.05)显著下降到干预后(2.54)(P = .0001)。结果表明,改善幅度低于全国平均水平(每 1000 个病人日 3-5 次跌倒),由于跌倒次数减少,为医疗机构节约了成本。住院内外科和渐进式护理病房的跌倒总数显著下降,估计可节省不少费用:通过富有同情心、非惩罚性的领导、跨学科团队和持续的后续教育,预防性干预措施取得了显著效果。以 "公正文化算法 "作为每周审查的基础,员工们有能力采取减少跌倒的策略。通过全面的每周跌倒回顾计划、持续的员工教育和透明的数据报告,病人跌倒的情况得到了显著、持续的减少,并在计划实施期间节省了超过 160 万美元的大量成本。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Assessing the Effectiveness of a Non-Punitive Fall Prevention Program.

Background: Our single-center, quality improvement project evaluated the impact of a fall reduction plan while using a Just Culture Algorithm that included weekly fall reviews involving front line staff using a non-punitive structure. The project has shown successful results.

Methods: Prior to starting the program, data at this institution indicated falls were higher than the national fall rate of 3-5 per 1000 patient days. To achieve the goal of reducing the fall rate to below 3.1, an interdisciplinary fall committee was formed, consisting of nurses, nursing leaders, patient care technicians, pharmacists, and physical therapists. The committee operated in a non-punitive format and included all staff members directly involved in fall-related incidents. Protocols for implementing an evidence-based prevention program were developed to (1) address environmental concerns, (2) educate clinical workers and patients' families, (3) enforce interventions, (4) conduct weekly non-punitive, round table discussions, and (5) provide leadership support. Measures were implemented to proactively prevent falls. Data was collected and reported to all departments monthly.

Results: Following implementation of the program, results showed a statistically significant decrease in average fall rates per 1000 patient days from pre-intervention (4.05) to post-intervention (2.54) (P = .0001). Results showed improvement below the national average (3-5 falls per 1000 patient days), resulting in cost savings for the institution due to fewer falls. Inpatient medical-surgical and progressive care units had a noteworthy decline in the total number of falls, with notable estimated cost savings.

Conclusion: Preventative interventions have shown effective results with compassionate, non-punitive leadership, an interdisciplinary team, and continuous follow-up education. Heeding to the Just Culture Algorithm as the foundation of weekly reviews, staff were empowered to engage in fall reduction strategies. A comprehensive weekly fall review program with ongoing staff education and transparent data reporting yielded a significant, sustained reduction in patient falls, with a substantial cost savings in excess of $1.6 million dollars over the life of the program.

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