单位特征与跌倒发生率之间的关系:利用日本行政数据进行的横断面调查。

Mutsuko Moriwaki, Michiko Tanaka, Mikayo Toba, Yuka Ozasa, Yasuko Ogata, Satoshi Obayashi
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引用次数: 0

摘要

背景:跌倒是住院病人最常见的意外事故。由于跌倒会影响患者的预后,因此应研究高跌倒风险因素,以预防跌倒并提高患者安全。目的:本研究旨在确定与跌倒风险显著相关的单位特征:对 2018 年至 2019 年期间在一家日本学术医院住院的患者病历进行了横断面研究。该研究量化了科室活动,并利用诊断程序组合数据,根据科室日研究与跌倒相关的科室特征:16307名患者的数据被纳入分析,355个单元日被认证为跌倒事件。根据患者的病情和治疗情况,结果发现抗肿瘤注射、放射治疗、无菌治疗室以及部分协助转移、进餐和口腔护理的功能状态是与跌倒事件增加相关的病房特征。夜间每位患者的护理时间减少(几率比 [OR] = 0.75,p = .04)和部分辅助转运患者人数较多也被确定为与跌倒发生率较高相关的病房特征(OR = 5.56,p = .01):这项研究的结果有望帮助护士根据病房特点预测跌倒情况;研究发现,减少病房护理时间是与较高跌倒风险相关的一个因素。护士长必须了解与科室相关的跌倒风险因素,合理分配护士人数,并展现护理领导力,以防止科室发生跌倒。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Relationship Between Unit Characteristics and Fall Incidence: A Cross-Sectional Survey Using Administrative Data in Japan.

Background: Falls are the most frequent accident experienced by inpatients in hospitals. As falls affect patient outcomes, high fall risk factors should be studied to prevent falls and improve patient safety. However, the relationship between hospital unit characteristics and fall risk has never been assessed.

Purpose: This study was designed to identify the unit characteristics significantly related to fall risk.

Methods: A cross-sectional study was conducted on the medical records of patients hospitalized in a Japanese academic hospital between 2018 and 2019. This study quantified unit activities and utilized Diagnosis Procedure Combination data to examine unit characteristics related to falls based on unit day.

Results: Data on 16,307 patients were included in the analysis, and 355 unit days were certified as fall events. Based on patient condition and medical treatment, the results identified antineoplastic injections, radiation therapy, aseptic treatment room, and functional status of partly assisted transfers, meals, and oral care as unit characteristics associated with increased fall events. Decreased nursing time per patient at night (odds ratio [OR] = 0.75, p = .04) and higher numbers of partially assisted transfer patients were also identified as unit characteristics associated with higher fall incidence rates (OR = 5.56, p = .01).

Conclusions: The results of this study are expected to assist nurses to predict falls based on unit characteristics; reducing nursing time in the units was found to be a factor associated with higher fall risk. Nurse managers must understand the unit-related fall risk factors, appropriately assign nurse staffing numbers, and demonstrate nursing leadership to prevent falls in their units.

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