Suppr超能文献

住院患者出院计划中的护理分类:准实验研究。

Nursing taxonomies in hospital discharge planning: a quasi-experimental study.

机构信息

Hospital de Clínicas de Porto Alegre. Porto Alegre, Rio Grande do Sul, Brazil.

Irmandade Santa Casa de Misecórdia de Porto Alegre. Porto Alegre, Rio Grande do Sul, Brazil.

出版信息

Rev Bras Enferm. 2020 Jul 1;73(5):e20180896. doi: 10.1590/0034-7167-2018-0896. eCollection 2020.

Abstract

OBJECTIVE

to evaluate the effect of implementation of hospital discharge planning based on the taxonomies of NANDA-International, nursing interventions classification (NIC) and nursing outcomes classification (NOC) for patients with heart failure (HF) or diabetes mellitus (DM).

METHODS

quasi-experimental quantitative study conducted in a public university hospital located in the state of Rio Grande do Sul, Brazil. Convenience sampling included 28 adult patients hospitalized for HF or DM with the nursing diagnosis Ineffective Health Management (00078), who received the following nursing interventions: Teaching: Disease Process, Teaching: Prescribed Medication and Teaching: Prescribed Diet. Before and after the intervention, the following nursing outcomes were evaluated : Knowledge: Diabetes Management and Knowledge: Heart Failure Management.

RESULTS

the score of the nursing outcome Knowledge: Heart Failure Management went from 2.05±0.28 to 2.54±0.30 (P=0.002), and of the nursing outcome Knowledge: Diabetes Management went from 2.61±0.55 to 3.21±0.57 (P=0.000).

CONCLUSION

discharge planning based on the NIC improves the NOC score and may interfere in the health outcomes.

摘要

目的

评估基于 NANDA-International 分类、护理干预分类(NIC)和护理结局分类(NOC)对心力衰竭(HF)或糖尿病(DM)患者实施出院计划的效果。

方法

这是一项在巴西南里奥格兰德州的一所公立大学附属医院进行的准实验性定量研究。便利抽样纳入了 28 名因 HF 或 DM 住院的成年患者,这些患者的护理诊断为“健康管理无效”(00078),他们接受了以下护理干预:疾病过程教学、规定药物教学和规定饮食教学。在干预前后,评估了以下护理结局:糖尿病管理知识和心力衰竭管理知识。

结果

心力衰竭管理知识的护理结局评分从 2.05±0.28 提高到 2.54±0.30(P=0.002),糖尿病管理知识的护理结局评分从 2.61±0.55 提高到 3.21±0.57(P=0.000)。

结论

基于 NIC 的出院计划可提高 NOC 评分,并可能影响健康结局。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验