Quantifying Spatial Shadow Zones and Their Association With Hospital Falls in Acute Care Unit: Real-Time Location System Observational Study.

IF 2 Q3 HEALTH CARE SCIENCES & SERVICES
Yen-Pin Chen, Yi-Chun Chen, Chen-Liang Lin, Chien-Yu Chi, Yi-Ying Chen, Bey-Jing Yang, Chien-Hua Huang
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引用次数: 0

Abstract

Background: Hospital falls represent a persistent and significant threat to safety within health care systems worldwide, impacting both patient well-being and the occupational health of health care staff. While patient falls are a primary concern, addressing fall risks for all individuals within the health care environment remains a key objective. Caregiver visibility and spatial monitoring are recognized as crucial considerations in mitigating fall-related incidents.

Objective: This study aimed to investigate the association between the percentage of spatial shadow zone, defined as areas within an acute care unit unvisited by mobile workstations for prolonged periods, and the incidence of hospital falls and intensive care unit (ICU) transfers.

Methods: This retrospective observational study was conducted in a 400-square-meter acute care unit of a tertiary hospital for over 210 days. An ultrawideband real-time location system was deployed to continuously track mobile workstations' spatial coverage. Spatial shadow zones were defined as areas unvisited by mobile workstations for 60 continuous minutes. The primary outcome was hospital falls; the secondary outcome was ICU transfers. Multivariable logistic regression analysis, adjusted for patient-to-nurse ratio and day of week, was used to examine the association between the percentage of spatial shadow zone and these outcomes. Sensitivity analyses were performed by varying the spatial dilation distance (1-4 meters) and temporal shadow zone thresholds (15-90 minutes).

Results: During this study's period, 8 hospital falls and 89 ICU transfers occurred. Real-time location system validation indicated a mean positional error of 0.346 (SD 0.282) meters. In multivariable regression, a higher percentage of spatial shadow zone was significantly associated with an increased odds of hospital falls (odds ratio 1.02, 95% CI 1.01 to 1.03, P<.001). Conversely, a higher percentage of spatial shadow zone was associated with decreased odds of ICU transfer (odds ratio 0.99, 95% CI 0.99 to 0.99, P<.001). Sensitivity analyses demonstrated consistency of the association between spatial shadow zones and falls across varying parameter settings.

Conclusions: This study provides novel evidence for a significant positive association between the percentage of spatial shadow zones and hospital falls, underscoring the critical role of caregiver visibility in fall prevention. The findings suggest that proactively minimizing spatial shadow zones through optimized hospital design, workflow strategies, and technology-enabled monitoring may be a valuable approach to enhance patient safety and reduce hospital falls in acute care settings.

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量化空间阴影区及其与急症室医院跌倒的关系:实时定位系统观察研究。
背景:医院跌倒对全球卫生保健系统的安全构成持续和重大威胁,影响患者福祉和卫生保健人员的职业健康。虽然患者跌倒是一个主要问题,但在卫生保健环境中解决所有人的跌倒风险仍然是一个关键目标。护理人员的可视性和空间监测被认为是减少跌倒相关事件的关键考虑因素。目的:本研究旨在调查空间阴影区百分比与医院跌倒和重症监护病房(ICU)转移的发生率之间的关系。空间阴影区定义为长期未被移动工作站访问的急性护理病房内的区域。方法:回顾性观察研究在某三级医院400平方米的急症室进行210多天的研究。部署了超宽带实时定位系统,对移动工作站的空间覆盖范围进行连续跟踪。空间阴影区被定义为移动工作站连续60分钟未访问的区域。主要结局是住院跌倒;次要结果是ICU转移。采用多变量logistic回归分析,调整了病人与护士的比例和每周的天数,以检验空间阴影区百分比与这些结果之间的关系。通过改变空间扩张距离(1-4米)和时间阴影区阈值(15-90分钟)进行敏感性分析。结果:在本研究期间,发生了8例住院跌倒和89例ICU转院。实时定位系统验证表明,平均定位误差为0.346 (SD 0.282)米。在多变量回归中,较高的空间阴影区百分比与医院跌倒的几率增加显著相关(比值比1.02,95% CI 1.01至1.03,p)。结论:本研究为空间阴影区百分比与医院跌倒之间的显著正相关提供了新的证据,强调了护理人员可视性在预防跌倒中的关键作用。研究结果表明,通过优化医院设计、工作流程策略和技术支持的监测,主动减少空间阴影区,可能是提高患者安全和减少急性护理环境中医院跌倒的一种有价值的方法。
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来源期刊
JMIR Formative Research
JMIR Formative Research Medicine-Medicine (miscellaneous)
CiteScore
2.70
自引率
9.10%
发文量
579
审稿时长
12 weeks
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