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直立位生命体征算法:减少接受血液和骨髓移植或细胞免疫治疗患者的跌倒。

Orthostatic Vital Signs Algorithm: Decreasing Falls in Patients Undergoing Blood and Marrow Transplantation or Treatment With Cellular Immunotherapy.

机构信息

H. Lee Moffitt Cancer Center.

H. Lee Moffitt Cancer Center and Research Institute.

出版信息

Clin J Oncol Nurs. 2020 Oct 1;24(5):489-494. doi: 10.1188/20.CJON.489-494.

DOI:10.1188/20.CJON.489-494
PMID:32945795
Abstract

BACKGROUND

Falls experienced by patients undergoing blood and marrow transplantation or treatment with cellular immunotherapy (BMT-CI) may result in injury or death. An algorithm was developed using the patient fall circumstances identified in a chart analysis from 2016.

OBJECTIVES

This study aimed to determine if the Moffitt BMT-CI Orthostatic Vital Signs Algorithm could decrease inpatient falls.

METHODS

A pre-/post-test program evaluation was conducted for one year pre- and postimplementation of the algorithm on newly admitted inpatients. Adherence rate of nurses using the algorithm was monitored.

FINDINGS

Overall falls decreased from 5.38% to 3.44%, with zero falls or injuries related to orthostasis for newly admitted patients. Adherence of nurses using the algorithm increased from 60% to 93%. The fall rate has been sustained less than baseline with 100% adherence, and the algorithm has been adopted as standard of practice.

摘要

背景

接受血液和骨髓移植或细胞免疫治疗(BMT-CI)的患者可能会经历跌倒,导致受伤或死亡。本研究使用 2016 年图表分析中确定的患者跌倒情况制定了一个算法。

目的

本研究旨在确定 Moffitt BMT-CI 直立生命体征算法是否可以减少住院患者跌倒。

方法

在算法实施前一年对新入院患者进行了预/后测试方案评估。监测了护士使用算法的依从率。

结果

总体跌倒率从 5.38%降至 3.44%,新入院患者无跌倒或与直立相关的伤害。使用算法的护士依从率从 60%增加到 93%。跌倒率低于基线且 100%依从率维持不变,该算法已被采纳为标准实践。

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