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确定最佳护理强度:拉斐拉方法。

Determining optimal nursing intensity: the RAFAELA method.

作者信息

Rauhala Auvo, Fagerström Lisbeth

机构信息

Vaasa Central Hospital, Internal Medicine Clinic, Vaasa, Finland.

出版信息

J Adv Nurs. 2004 Feb;45(4):351-9. doi: 10.1046/j.1365-2648.2003.02918.x.

Abstract

BACKGROUND

RAFAELA is a modern system of patient classification. In the last few years the system has become widely used in Finland and has aroused international interest. It comprises three parts: (1) The Oulu Patient Classification (OPC) instrument and (2) a file on nurse resources. Using these, the daily nursing care intensity, expressed as OPC points per nurse, can be calculated. The existing nursing care intensity can then be compared with the optimal by using the third instrument, (3) the Professional Assessment of Optimal Nursing Care Intensity Level (PAONCIL). This is a daily questionnaire that nurses complete in a 2-month period at intervals every few years. The daily workload is scored from -3 to +3, where zero is the optimal level. The optimal nursing care intensity per nurse is then defined by using linear regression analysis. No expensive time studies are needed.

AIMS

This paper reports on a study which aimed to identify the minimum requirements for determining optimal nursing care intensity that allow the results to be accepted as correct, in terms of: length of the PAONCIL examination period, PAONCIL questionnaire response rate, explanatory power of the regression analysis and mean values of the OPC and PAONCIL instruments.

DESIGN

The results of analyses of optimal nursing care intensity from 61 wards in eight Finnish hospitals for the period 1997-2001 are presented. The data do not contain any information about the identity of the patients.

METHODS

Linear regression analysis, one-way analysis of variance, t-tests and correlation analysis were used, as well as parameters of distribution of the data.

RESULTS

The results of the analysis of optimal nursing care intensity can be regarded as reliable if the PAONCIL response rate is above 70%, the period of examination is at least 3-4 weeks, the mean PAONCIL value is below 0.65 and the explanatory power is above 25%.

CONCLUSION

On the basis of the RAFAELA system, the optimal nursing care intensity of a ward can be reliably determined. The prerequisites for achieving reliable results were clear and mostly fulfilled. Because a study period shorter than that which has previously been the practice is enough, the use of this system will be easier than before. The credibility and usefulness of the RAFAELA system have thus received considerable additional confirmation.

摘要

背景

RAFAELA是一种现代患者分类系统。在过去几年中,该系统在芬兰得到广泛应用,并引起了国际关注。它由三个部分组成:(1)奥卢患者分类(OPC)工具;(2)一份护士资源文件。利用这些,可以计算出以每位护士的OPC点数表示的日常护理强度。然后,通过使用第三种工具(3)最佳护理强度水平专业评估(PAONCIL),将现有的护理强度与最佳护理强度进行比较。这是一份日常问卷,护士每隔几年在两个月的时间内定期填写。日常工作量的评分范围为-3至+3,其中零为最佳水平。然后通过线性回归分析确定每位护士的最佳护理强度。无需进行昂贵的时间研究。

目的

本文报告了一项研究,旨在确定确定最佳护理强度的最低要求,以便在以下方面使结果被视为正确:PAONCIL检查期的长度、PAONCIL问卷回复率、回归分析的解释力以及OPC和PAONCIL工具的平均值。

设计

呈现了对芬兰八家医院61个病房1997 - 2001年期间最佳护理强度的分析结果。数据不包含任何关于患者身份的信息。

方法

使用了线性回归分析、单因素方差分析、t检验和相关分析,以及数据分布参数。

结果

如果PAONCIL回复率高于70%、检查期至少为3 - 4周、PAONCIL平均值低于0.65且解释力高于25%,则最佳护理强度的分析结果可被视为可靠。

结论

基于RAFAELA系统,可以可靠地确定病房的最佳护理强度。获得可靠结果的前提条件明确且大多得到满足。由于比以前的做法所需的研究期更短就足够了,因此该系统的使用将比以前更容易。RAFAELA系统的可信度和实用性因此得到了相当大的额外证实。

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