时代分裂表达式:一种直观的方法来描述护理实践中的右倾数据
Haruna Fukushige1, Yoshiaki Inoue2, Keisuke Nakashima3
1Graduate School of Health Sciences, Kobe University, Kobe, Hyogo, Japan.
Journal of nursing management
|November 24, 2025
概括
这项研究引入了一种新的数据分析方法,时间分割表达式,用于护理. 它比传统的平均值和标准偏差更好地代表了倾斜的数据分布,改善了临床决策.
科学领域:
- 护理信息学 护理信息学
- 生物统计学 生物统计学
- 在医疗保健中的数据科学.
背景情况:
- 临床护理实践需要明确的数据共享,以实现团队协作.
- 传统的描述性统计 (平均 ± SD) 对于护理中常见的不对称,右倾的数据是不够的.
- 准确的数据表示对于有效的临床决策至关重要.
研究的目的:
- 引入和评估"乘除表达式" (几何平均数 ×/几何标准偏差) 作为平均数±SD的替代方案.
- 评估时间划分表达式用于分析护理数据的适用性,特别是护士呼叫系统数据.
- 展示时间分割表达式在表示偏斜数据分布中的优势.
主要方法:
- 一项基于数据的研究,使用来自护士呼叫系统的四年半的护理需求数据.
- 时间分割表达式 (GMean ×/GSD) 与传统的统计方法 (Mean ± SD) 的比较.
- 评估方法能够表示分布性质,提供代表值,并表示百分位数范围的能力.
主要成果:
- "乘除式"在描述偏斜的数据分布方面显著优于传统方法.
- 这种新的表达式为护理数据提供了更合适的代表值和可用的百分位数范围指标.
- 几何平均值和几何标准偏差为分析不对称数据提供了一种优越的方法.
结论:
- 与传统方法相比",分数表达式"是一种更有效的统计工具,用于分析与传统方法相比偏差的护理数据.
- 实施这种方法可以提高护士对数据驱动洞察力的理解.
- 预计改进的数据表示将提高临床决策和患者护理的整体质量.
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