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使用护理最小数据集探索儿科环境中护理复杂性、医疗复杂性与住院时间之间的关联:一项研究方案

Exploring the Association between Complexity of Care, Medical Complexity, and Length of Stay in the Paediatric Setting Using a Nursing Minimum Data Set: A Study Protocol.

作者信息

Cesare Manuele, D'Agostino Fabio, Cocchieri Antonello

机构信息

Center of Excellence for Nursing Scholarship (CECRI), Board of Nursing (OPI) of Rome, 00136 Rome, Italy.

Department of Medicine, Saint Camillus International University of Health Sciences, 00131 Rome, Italy.

出版信息

Nurs Rep. 2024 Oct 10;14(4):2923-2934. doi: 10.3390/nursrep14040213.

Abstract

BACKGROUND/OBJECTIVES: The complexity of care requires systematic documentation to fully understand its relationship with medical complexity and its impact on patient outcomes. The Nursing Minimum Data Set (NMDS) plays a crucial role by capturing essential nursing data, enabling a detailed analysis of care and its impact on outcomes, such as length of stay (LOS). However, despite its potential, the use of NMDS in paediatric care remains limited. This study aims to explore the association between nursing and medical complexities and LOS in paediatric patients.

METHODS

A descriptive, retrospective, monocentric study will be conducted. The data will be collected through a nursing information system (Professional Assessment Instrument (PAI)) and the hospital discharge register of patients admitted to the paediatric department in 2022 in an Italian university hospital. Conclusions and Expected Results: The use of PAI will allow for the description of the complexity of care and enable an analysis of its relationship with medical complexity and LOS.

摘要

背景/目的:护理的复杂性需要系统的文档记录,以便充分理解其与医疗复杂性的关系及其对患者结局的影响。护理最小数据集(NMDS)通过收集基本的护理数据发挥着关键作用,能够对护理及其对诸如住院时间(LOS)等结局的影响进行详细分析。然而,尽管NMDS具有潜力,但在儿科护理中的应用仍然有限。本研究旨在探讨儿科患者护理与医疗复杂性及住院时间之间的关联。

方法

将进行一项描述性、回顾性、单中心研究。数据将通过护理信息系统(专业评估工具(PAI))以及意大利一家大学医院2022年儿科收治患者的医院出院登记册收集。结论与预期结果:使用PAI将能够描述护理的复杂性,并分析其与医疗复杂性和住院时间的关系。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/948c/11503434/f9b582c26ef5/nursrep-14-00213-g001.jpg

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