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Open Access 01-12-2017 | Protocol

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

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

Published in: Systematic Reviews | Issue 1/2017

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

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Title: Risk assessment tools to predict location of discharge and need for supportive services for medical patients after discharge from hospital: a systematic review protocol
Authors: Daniel M. Kobewka
Daniel McIsaac
Michaël Chassé
Kednapa Thavorn
Sunita Mulpuru
Luke T. Lavallée
Shane English
Justin Presseau
Alan J. Forster
Publication date: 01-12-2017
Publisher: BioMed Central
Published in: Systematic Reviews / Issue 1/2017
Electronic ISSN: 2046-4053
DOI: https://doi.org/10.1186/s13643-016-0401-7

Keynote webinar | Spotlight on medication adherence

Springer Medicine

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

Abstract

Background

Methods/design

Discussion

Systematic review registration

Keynote webinar | Spotlight on medication adherence

Springer Medicine

Abstract

Background

Methods/design

Discussion

Systematic review registration

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