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基于护理强度开发并测试韩国普通病房患者分类系统。

Developing and testing a Korean patient classification system for general wards based on nursing intensity.

作者信息

Ko Yukyung, Park Bohyun, Lee Hanju, Kim Donghwan

机构信息

Department of Nursing, College of Medicine, Wonkwang University, Iksan, South Korea.

Department of Nursing, Changwon National University, Changwon, South Korea.

出版信息

Nurs Open. 2021 Jul;8(4):1870-1878. doi: 10.1002/nop2.845. Epub 2021 Mar 10.

Abstract

AIM

To develop a new general wards patient classification tool based on the nursing intensity level that reflects patients' clinical characteristics and indirect nursing activities.

DESIGN

A cross-sectional design was adopted. This methodological study developed a patient classification system to sort general ward patients based on the intensity of their nursing needs and verified the validity and reliability of this classification system.

METHODS

Thirteen experts verified the tools' content validity. Data collectors and head nurses classified 150 patients from two hospitals with four general wards and various nurse staffing levels. Inter-rater reliability was analysed. Staff nurses classified 846 patients following the Korean patient classification system on nursing intensity scores that reflected patients' clinical status. Content validity was verified based on the classification results. Using K-group cluster analysis, score ranges for four groups were identified.

RESULTS

The developed tool includes 8 domains, (symptom management, infection control, nutrition and medication, personal hygiene and secretion, activity, sleep and rest, guidance in nursing/emotional support, nursing activity planning and coordination, indirect activity), 24 subdomains, 66 nursing activities and 124 criteria. Inter-rater reliability showed high agreement.

摘要

目的

开发一种基于护理强度水平的新的普通病房患者分类工具,该工具能反映患者的临床特征和间接护理活动。

设计

采用横断面设计。这项方法学研究开发了一种患者分类系统,以根据普通病房患者的护理需求强度对其进行分类,并验证该分类系统的有效性和可靠性。

方法

13名专家验证了工具的内容效度。数据收集者和护士长对来自两家医院四个普通病房且护士配备水平各异的150名患者进行了分类。分析了评分者间信度。注册护士根据反映患者临床状况的韩国患者护理强度分类系统对846名患者进行了分类。根据分类结果验证了内容效度。使用K组聚类分析确定了四组的分数范围。

结果

所开发的工具包括8个领域(症状管理、感染控制、营养与用药、个人卫生与分泌物、活动、睡眠与休息、护理指导/情感支持、护理活动规划与协调、间接活动)、24个子领域、66项护理活动和124条标准。评分者间信度显示出高度一致性。

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