Identifying diverse concepts of discharge failure patients at emergency department in the USA: a large-scale retrospective observational study

ObjectivesIdentifying patients who are at high risk for discharge failure allows for implementation of interventions to improve their care. However, discharge failure is currently defined in literature with great variability, making targeted interventions more difficult. We aim to derive a screening...

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Main Authors: Chet D Schrader, Richard D Robinson, Somer Blair, Sajid Shaikh, James P d’Etienne, Jessica J Kirby, Radhika Cheeti, Nestor R Zenarosa
Format: Article
Language:English
Published: BMJ Publishing Group 2019-06-01
Series:BMJ Open
Online Access:https://bmjopen.bmj.com/content/9/6/e028051.full
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spelling doaj-66b2d40d76af451eafed32ad63dd7c9b2021-07-03T12:41:10ZengBMJ Publishing GroupBMJ Open2044-60552019-06-019610.1136/bmjopen-2018-028051Identifying diverse concepts of discharge failure patients at emergency department in the USA: a large-scale retrospective observational studyChet D Schrader0Richard D Robinson1Somer Blair2Sajid Shaikh3James P d’Etienne4Jessica J Kirby5Radhika Cheeti6Nestor R Zenarosa71 Emergency Medicine, JPS Health Network, Fort Worth, Texas, USA1 Emergency Medicine, JPS Health Network, Fort Worth, Texas, USA 3 Office of Clinical Research, JPS Health Network, Fort Worth, Texas, USA4 Information Technology, JPS Health Network, Fort Worth, Texas, USA1 Emergency Medicine, JPS Health Network, Fort Worth, Texas, USA1 Emergency Medicine, JPS Health Network, Fort Worth, Texas, USA4 Information Technology, JPS Health Network, Fort Worth, Texas, USA5 Emergency Medicine and Urgent Care, Integrative Emergency Service, JPS Health Network, Fort Worth, Texas, USAObjectivesIdentifying patients who are at high risk for discharge failure allows for implementation of interventions to improve their care. However, discharge failure is currently defined in literature with great variability, making targeted interventions more difficult. We aim to derive a screening tool based on the existing diverse discharge failure models.Design, setting and participantsThis is a single-centre retrospective cohort study in the USA. Data from all patients discharged from the emergency department were collected from 1 January 2015 through 31 December 2017 and followed up within 30 days.MethodsScoring systems were derived using modified Framingham methods. Sensitivity, specificity and area under the receiver operational characteristic (AUC) were calculated and compared using both the broad and restricted discharge failure models.ResultsA total of 227 627 patients were included. The Screening for Healthcare fOllow-Up Tool (SHOUT) scoring system was derived based on the broad and restricted discharge failure models and applied back to the entire study cohort. A sensitivity of 80% and a specificity of 71% were found in SHOUT scores to identify patients with broad discharge failure with AUC of 0.83 (95% CI 0.83 to 0.84). When applied to a 3-day restricted discharge failure model, a sensitivity of 86% and a specificity of 60% were found to identify patients with AUC of 0.79 (95% CI 0.78 to 0.80).ConclusionThe SHOUT scoring system was derived and used to screen and identify patients that would ultimately become discharge failures, especially when using broad definitions of discharge failure. The SHOUT tool was internally validated and can be used to identify patients across a wide spectrum of discharge failure definitions.https://bmjopen.bmj.com/content/9/6/e028051.full
collection DOAJ
language English
format Article
sources DOAJ
author Chet D Schrader
Richard D Robinson
Somer Blair
Sajid Shaikh
James P d’Etienne
Jessica J Kirby
Radhika Cheeti
Nestor R Zenarosa
spellingShingle Chet D Schrader
Richard D Robinson
Somer Blair
Sajid Shaikh
James P d’Etienne
Jessica J Kirby
Radhika Cheeti
Nestor R Zenarosa
Identifying diverse concepts of discharge failure patients at emergency department in the USA: a large-scale retrospective observational study
BMJ Open
author_facet Chet D Schrader
Richard D Robinson
Somer Blair
Sajid Shaikh
James P d’Etienne
Jessica J Kirby
Radhika Cheeti
Nestor R Zenarosa
author_sort Chet D Schrader
title Identifying diverse concepts of discharge failure patients at emergency department in the USA: a large-scale retrospective observational study
title_short Identifying diverse concepts of discharge failure patients at emergency department in the USA: a large-scale retrospective observational study
title_full Identifying diverse concepts of discharge failure patients at emergency department in the USA: a large-scale retrospective observational study
title_fullStr Identifying diverse concepts of discharge failure patients at emergency department in the USA: a large-scale retrospective observational study
title_full_unstemmed Identifying diverse concepts of discharge failure patients at emergency department in the USA: a large-scale retrospective observational study
title_sort identifying diverse concepts of discharge failure patients at emergency department in the usa: a large-scale retrospective observational study
publisher BMJ Publishing Group
series BMJ Open
issn 2044-6055
publishDate 2019-06-01
description ObjectivesIdentifying patients who are at high risk for discharge failure allows for implementation of interventions to improve their care. However, discharge failure is currently defined in literature with great variability, making targeted interventions more difficult. We aim to derive a screening tool based on the existing diverse discharge failure models.Design, setting and participantsThis is a single-centre retrospective cohort study in the USA. Data from all patients discharged from the emergency department were collected from 1 January 2015 through 31 December 2017 and followed up within 30 days.MethodsScoring systems were derived using modified Framingham methods. Sensitivity, specificity and area under the receiver operational characteristic (AUC) were calculated and compared using both the broad and restricted discharge failure models.ResultsA total of 227 627 patients were included. The Screening for Healthcare fOllow-Up Tool (SHOUT) scoring system was derived based on the broad and restricted discharge failure models and applied back to the entire study cohort. A sensitivity of 80% and a specificity of 71% were found in SHOUT scores to identify patients with broad discharge failure with AUC of 0.83 (95% CI 0.83 to 0.84). When applied to a 3-day restricted discharge failure model, a sensitivity of 86% and a specificity of 60% were found to identify patients with AUC of 0.79 (95% CI 0.78 to 0.80).ConclusionThe SHOUT scoring system was derived and used to screen and identify patients that would ultimately become discharge failures, especially when using broad definitions of discharge failure. The SHOUT tool was internally validated and can be used to identify patients across a wide spectrum of discharge failure definitions.
url https://bmjopen.bmj.com/content/9/6/e028051.full
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