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预测出院地点及出院后内科患者对支持性服务需求的风险评估工具:一项系统评价方案

Risk assessment tools to predict location of discharge and need for supportive services for medical patients after discharge from hospital: a systematic review protocol.

作者信息

Kobewka Daniel M, McIsaac Daniel, Chassé Michaël, Thavorn Kednapa, Mulpuru Sunita, Lavallée Luke T, English Shane, Presseau Justin, Forster Alan J

机构信息

Department of Medicine-The Ottawa Hospital, University of Ottawa, Ottawa, Ontario, Canada.

Department of Medicine, Division of General Internal Medicine, Ottawa Hospital, Civic Campus, 1053 Carling Avenue, Ottawa, Canada.

出版信息

Syst Rev. 2017 Jan 17;6(1):8. doi: 10.1186/s13643-016-0401-7.

DOI:10.1186/s13643-016-0401-7
PMID:28095901
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5240308/
Abstract

BACKGROUND

Patients who are discharged from hospital after an acute medical illness often have impaired function that prevents them from returning to their previous place of residence. Assessing each patient's post-discharge needs takes time and resources but is important in order to reduce unplanned readmissions and adverse events post-discharge.

METHODS/DESIGN: We will conduct a systematic review to synthesize the evidence on prognostic models and their reported accuracy in predicting the location of discharge after a medical admission to an acute care hospital. We will perform searches in MEDLINE, EMBASE, CINAHL, and COCHRANE databases. Pre-defined study, population, and model characteristics will be reported. We will write a narrative summary of included studies. Methodological quality of the studies will be assessed using the QUIPS tool, and the quality of evidence will be evaluated using the GRADE tool.

DISCUSSION

Early and accurate assessment of patient needs for supportive services after discharge has the potential to improve patient outcomes and health system efficiency. This systematic review will identify factors that can accurately predict location of discharge using existing tools and identify priority knowledge gaps to inform future research.

SYSTEMATIC REVIEW REGISTRATION

PROSPERO CRD42016037144.

摘要

背景

急性疾病出院后的患者通常存在功能障碍,使其无法回到先前的居住地。评估每位患者出院后的需求既耗费时间又需要资源,但对于减少计划外再入院和出院后不良事件而言却很重要。

方法/设计:我们将进行一项系统评价,以综合关于预后模型及其在预测急性护理医院入院治疗后出院地点方面所报告准确性的证据。我们将在MEDLINE、EMBASE、CINAHL和COCHRANE数据库中进行检索。将报告预定义的研究、人群和模型特征。我们将撰写纳入研究的叙述性总结。将使用QUIPS工具评估研究的方法学质量,并使用GRADE工具评估证据质量。

讨论

出院后对患者支持性服务需求进行早期准确评估有可能改善患者结局和卫生系统效率。本系统评价将识别可利用现有工具准确预测出院地点的因素,并识别优先知识空白以为未来研究提供信息。

系统评价注册

PROSPERO CRD42016037144。

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Syst Rev. 2015 Jan 1;4(1):1. doi: 10.1186/2046-4053-4-1.
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