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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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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