Predicting the need for supportive services after discharged from hospital: a systematic review

Abstract Background Some patients admitted to acute care hospital require supportive services after discharge. The objective of our review was to identify models and variables that predict the need for supportive services after discharge from acute care hospital. Methods We performed a systematic re...

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Main Authors: Daniel M. Kobewka (Author), Sunita Mulpuru (Author), Michaël Chassé (Author), Kednapa Thavorn (Author), Luke T. Lavallée (Author), Shane W. English (Author), Benjamin Neilipovitz (Author), Jonathan Neilipovitz (Author), Alan J. Forster (Author), Daniel I. McIsaac (Author)
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Published: BMC, 2020-03-01T00:00:00Z.
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100 1 0 |a Daniel M. Kobewka  |e author 
700 1 0 |a Sunita Mulpuru  |e author 
700 1 0 |a Michaël Chassé  |e author 
700 1 0 |a Kednapa Thavorn  |e author 
700 1 0 |a Luke T. Lavallée  |e author 
700 1 0 |a Shane W. English  |e author 
700 1 0 |a Benjamin Neilipovitz  |e author 
700 1 0 |a Jonathan Neilipovitz  |e author 
700 1 0 |a Alan J. Forster  |e author 
700 1 0 |a Daniel I. McIsaac  |e author 
245 0 0 |a Predicting the need for supportive services after discharged from hospital: a systematic review 
260 |b BMC,   |c 2020-03-01T00:00:00Z. 
500 |a 10.1186/s12913-020-4972-6 
500 |a 1472-6963 
520 |a Abstract Background Some patients admitted to acute care hospital require supportive services after discharge. The objective of our review was to identify models and variables that predict the need for supportive services after discharge from acute care hospital. Methods We performed a systematic review searching the MEDLINE, CINAHL, EMBASE, and COCHRANE databases from inception to May 1st 2017. We selected studies that derived and validated a prediction model for the need for supportive services after hospital discharge for patients admitted non-electively to a medical ward. We extracted cohort characteristics, model characteristics and variables screened and included in final predictive models. Risk of bias was assessed using the Quality in Prognostic Studies tool. Results Our search identified 3362 unique references. Full text review identified 6 models. Models had good discrimination in derivation (c-statistics > 0.75) and validation (c-statistics > 0.70) cohorts. There was high quality evidence that age, impaired physical function, disabilities in performing activities of daily living, absence of an informal care giver and frailty predict the need for supportive services after discharge. Stroke was the only unique diagnosis with at least moderate evidence of an independent effect on the outcome. No models were externally validated, and all were at moderate or higher risk of bias. Conclusions Deficits in physical function and activities of daily living, age, absence of an informal care giver and frailty have the strongest evidence as determinants of the need for support services after hospital discharge. Trial registration This review was registered with PROSPERO #CRD42016037144. 
546 |a EN 
690 |a Discharge 
690 |a Residential facilities 
690 |a Assisted living 
690 |a Home care 
690 |a Public aspects of medicine 
690 |a RA1-1270 
655 7 |a article  |2 local 
786 0 |n BMC Health Services Research, Vol 20, Iss 1, Pp 1-10 (2020) 
787 0 |n http://link.springer.com/article/10.1186/s12913-020-4972-6 
787 0 |n https://doaj.org/toc/1472-6963 
856 4 1 |u https://doaj.org/article/6bc9e19a4c2142d1a0de816f8953ebb1  |z Connect to this object online.