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

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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: Kobewka, Daniel M
McIsaac, Daniel
Chassé, Michaël
Thavorn, Kednapa
Mulpuru, Sunita
Lavallée, Luke T
English, Shane
Presseau, Justin
Forster, Alan J
Date: 2017-01-17
Abstract: 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
URL: http://dx.doi.org/10.1186/s13643-016-0401-7
http://hdl.handle.net/10393/35739
CollectionLibre accès - Publications // Open Access - Publications
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