使用护理最低数据集来描述急性护理环境中针对特定护理诊断及相关因素的护理干预措施。

Use of the nursing minimum data set to describe nursing interventions for select nursing diagnoses and related factors in an acute care setting.

作者信息

Coenen A, Ryan P, Sutton J, Devine E C, Werley H H, Kelber S

出版信息

Nurs Diagn. 1995 Jul-Sep;6(3):108-14. doi: 10.1111/j.1744-618x.1995.tb00496.x.

DOI:10.1111/j.1744-618x.1995.tb00496.x

Abstract

This study describes the prevalence of nursing interventions across six nursing diagnoses and their related factors using the framework of the Nursing Minimum Data Set (NMDS). Six nursing diagnoses (pain, potential for injury, anxiety, decreased cardiac output, potential for infection, and knowledge deficit) were among the most prevalent in an acute care setting studied in 1991. The NMDS and a nursing information system using standardized classification systems for nursing diagnoses and interventions provided an opportunity to describe nursing practice. Multiple related factors were identified across all six nursing diagnoses; three or four were selected frequently within each diagnostic category. The related factors also influenced the selection of interventions. Implications for the development of nursing classification systems and recommendations for further research are described.

摘要

本研究使用护理最低数据集（NMDS）框架描述了六种护理诊断及其相关因素的护理干预患病率。六种护理诊断（疼痛、受伤可能性、焦虑、心输出量减少、感染可能性和知识缺乏）是1991年所研究的急性护理环境中最常见的诊断。NMDS以及使用护理诊断和干预标准化分类系统的护理信息系统为描述护理实践提供了契机。在所有六种护理诊断中都确定了多个相关因素；每个诊断类别中经常选择三到四个因素。相关因素也影响了干预措施的选择。文中描述了对护理分类系统发展的启示以及进一步研究的建议。