Department of Community of Policy, Populations and Systems, Associate Professor, George Washington University School of Nursing, Washington, District of Columbia, USA.
Doctoral student, Ewha Womans University College of Nursing, Seoul, Republic of Korea.
Int J Nurs Knowl. 2024 Jan;35(1):46-68. doi: 10.1111/2047-3095.12419. Epub 2023 Mar 1.
We aimed to investigate the nursing process linkages formed by Nursing Interventions Classification (NIC) and Nursing Outcomes Classification (NOC) according to the primary NANDA-I diagnoses by registered nurses (RNs), customized to nursing home (NH) residents in Korea, using a developed smartphone application for NH RNs.
This is a retrospective descriptive study. Applying quota sampling, a total of 51 NHs from all operating 686 NHs hiring RNs participated in this study. Data were collected from June 21 to July 30, 2022. Data on NANDA-I, NIC, NOC (NNN) of nurses applied to the NH residents were collected through a developed smartphone application. The application consists of general organization and residents' characteristics, NANDA-I, NIC, and NOC. RNs selected randomly up to 10 residents and NANDA-I with risk factors and related factors over the past 7 days, followed by all applied interventions out of 82 NIC. RNs then evaluated residents through 79 selected NOC.
We found the frequently used NANDA-I diagnoses, Nursing Interventions Classifications and Nursing Outcomes and Classifications applied for NH residents by RNs and developed the top five NOC linkages used to build care plan.
It is time to pursue high-level evidence and reply to the questions raised in NH practice using NNN with high technology. The outcomes for patients and nursing staff are improved by the continuity of care made possible by uniform language.
NNN linkages should be used to construct and utilize the coding system of electronic health records or electronic medical records in Korean long-term care facilities.
我们旨在通过开发一款适用于韩国疗养院注册护士(RN)的智能手机应用程序,根据 NANDA-I 主要诊断,调查由护理干预分类(NIC)和护理结局分类(NOC)形成的护理流程链接。
这是一项回顾性描述性研究。采用配额抽样,共有 51 家疗养院参与了这项研究,这些疗养院来自于所有运营的 686 家雇用 RN 的疗养院中的 686 家。数据于 2022 年 6 月 21 日至 7 月 30 日收集。通过开发的智能手机应用程序收集护士应用于疗养院居民的 NANDA-I、NIC、NOC(NNN)的数据。该应用程序由一般组织和居民特征、NANDA-I、NIC 和 NOC 组成。RN 随机选择最多 10 名居民,以及过去 7 天内具有风险因素和相关因素的 NANDA-I,然后是 82 个 NIC 中的所有应用干预措施。RN 然后通过 79 个选定的 NOC 评估居民。
我们发现了 RN 为疗养院居民经常使用的 NANDA-I 诊断、护理干预分类和护理结局分类,并开发了用于制定护理计划的前五个 NOC 链接。
现在是时候使用高科技追求高水平的证据,并回答 NH 实践中提出的问题了。通过统一的语言实现护理的连续性,提高患者和护理人员的护理效果。
NNN 链接应在韩国长期护理机构中使用,以构建和利用电子健康记录或电子病历的编码系统。