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人员配置水平是否能预测护理缺失?

Do staffing levels predict missed nursing care?

机构信息

University of Michigan School of Nursing, Ann Arbor, MI 48109, USA.

出版信息

Int J Qual Health Care. 2011 Jun;23(3):302-8. doi: 10.1093/intqhc/mzr009. Epub 2011 Apr 11.

Abstract

OBJECTIVE

To examine whether actual nurse staffing predicts missed nursing care, controlling for other unit characteristics.

DESIGN

This study utilized a cross-sectional, descriptive design.

SETTING

Ten hospitals in the Midwestern region of the USA.

PARTICIPANTS

Nursing staff members with direct care responsibilities (n = 4288) on 110 care units.

MAIN OUTCOME MEASURES

The MISSCARE Survey was utilized to capture respondents' perceptions of missed nursing care as well as other unit characteristics (i.e. demographics, work schedules and absenteeism). Actual staffing data (hours per patient day [HPPD], registered nurse hours per patient day [RN HPPD], skill mix) and unit level case mix index were collected from the participating hospitals for the mean scores of 2 months during survey distribution.

RESULTS

HPPD was a significant predictor of missed nursing care (β = -0.45, P = 0.002).

CONCLUSIONS

Findings from this study suggest that missed nursing care may explain, at least in part, the relationship between staffing levels and patient outcomes.

摘要

目的

考察实际护理人员配置是否可以预测护理不足,同时控制其他单位特征。

设计

本研究采用了横断面描述性设计。

地点

美国中西部的 10 家医院。

参与者

110 个护理单元中具有直接护理责任的护理人员(n = 4288)。

主要观察指标

利用 MISSCARE 调查来评估受访者对护理不足的看法以及其他单位特征(即人口统计学、工作时间表和缺勤)。实际人员配置数据(每患者每天的护理小时数[HPPD]、每患者每天的注册护士小时数[RN HPPD]、技能组合)和单位级病例组合指数是从参与医院收集的,用于调查分配期间 2 个月的平均分数。

结果

HPPD 是护理不足的一个显著预测因素(β = -0.45,P = 0.002)。

结论

这项研究的结果表明,护理不足可能至少部分解释了人员配备水平与患者结果之间的关系。

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