Skip to main content
Top
Published in: BMC Emergency Medicine 1/2021

01-12-2021 | Care | Research article

Development and validation of a scoring system for mortality prediction and application of standardized W statistics to assess the performance of emergency departments

Authors: Jinwoo Jeong, Sung Woo Lee, Won Young Kim, Kap Su Han, Su Jin Kim, Hyungoo Kang

Published in: BMC Emergency Medicine | Issue 1/2021

Login to get access

Abstract

Background

In-hospital mortality and short-term mortality are indicators that are commonly used to evaluate the outcome of emergency department (ED) treatment. Although several scoring systems and machine learning-based approaches have been suggested to grade the severity of the condition of ED patients, methods for comparing severity-adjusted mortality in general ED patients between different systems have yet to be developed. The aim of the present study was to develop a scoring system to predict mortality in ED patients using data collected at the initial evaluation and to validate the usefulness of the scoring system for comparing severity-adjusted mortality between institutions with different severity distributions.

Methods

The study was based on the registry of the National Emergency Department Information System, which is maintained by the National Emergency Medical Center of the Republic of Korea. Data from 2016 were used to construct the prediction model, and data from 2017 were used for validation. Logistic regression was used to build the mortality prediction model. Receiver operating characteristic curves were used to evaluate the performance of the prediction model. We calculated the standardized W statistic and its 95% confidence intervals using the newly developed mortality prediction model.

Results

The area under the receiver operating characteristic curve of the developed scoring system for the prediction of mortality was 0.883 (95% confidence interval [CI]: 0.882–0.884). The Ws score calculated from the 2016 dataset was 0.000 (95% CI: − 0.021 – 0.021). The Ws score calculated from the 2017 dataset was 0.049 (95% CI: 0.030–0.069).

Conclusions

The scoring system developed in the present study utilizing the parameters gathered in initial ED evaluations has acceptable performance for the prediction of in-hospital mortality. Standardized W statistics based on this scoring system can be used to compare the performance of an ED with the reference data or with the performance of other institutions.
Literature
8.
go back to reference Jones P, Wells S, Harper A, Le Fevre J, Stewart J, Curtis E, et al. Impact of a national time target for ED length of stay on patient outcomes. N Z Med J. 2017;130(1455):15–34.PubMed Jones P, Wells S, Harper A, Le Fevre J, Stewart J, Curtis E, et al. Impact of a national time target for ED length of stay on patient outcomes. N Z Med J. 2017;130(1455):15–34.PubMed
17.
go back to reference Ryu J-H, Min M-K, Lee D-S, Yeom S-R, Lee S-H, Wang I-J, et al. Changes in Relative Importance of the 5-Level Triage System, Korean Triage and Acuity Scale, for the Disposition of Emergency Patients Induced by Forced Reduction in Its Level Number: a Multi-Center Registry-based Retrospective Cohort Study. J Korean Med Sci. 2019;34(14):e114. https://doi.org/10.3346/jkms.2019.34.e114. Ryu J-H, Min M-K, Lee D-S, Yeom S-R, Lee S-H, Wang I-J, et al. Changes in Relative Importance of the 5-Level Triage System, Korean Triage and Acuity Scale, for the Disposition of Emergency Patients Induced by Forced Reduction in Its Level Number: a Multi-Center Registry-based Retrospective Cohort Study. J Korean Med Sci. 2019;34(14):e114. https://​doi.​org/​10.​3346/​jkms.​2019.​34.​e114.
22.
go back to reference Fagerland MW. T-tests, non-parametric tests, and large studies—a paradox of statistical practice? BMC Med Res Methodol. 2012;12(1):1–7.CrossRef Fagerland MW. T-tests, non-parametric tests, and large studies—a paradox of statistical practice? BMC Med Res Methodol. 2012;12(1):1–7.CrossRef
23.
go back to reference Tohira H, Jacobs I, Mountain D, Gibson N, Yeo A. Systematic review of predictive performance of injury severity scoring tools. Scandinavian J Trauma Resuscitation Emerg Med. 2012;20:63.CrossRef Tohira H, Jacobs I, Mountain D, Gibson N, Yeo A. Systematic review of predictive performance of injury severity scoring tools. Scandinavian J Trauma Resuscitation Emerg Med. 2012;20:63.CrossRef
Metadata
Title
Development and validation of a scoring system for mortality prediction and application of standardized W statistics to assess the performance of emergency departments
Authors
Jinwoo Jeong
Sung Woo Lee
Won Young Kim
Kap Su Han
Su Jin Kim
Hyungoo Kang
Publication date
01-12-2021
Publisher
BioMed Central
Keyword
Care
Published in
BMC Emergency Medicine / Issue 1/2021
Electronic ISSN: 1471-227X
DOI
https://doi.org/10.1186/s12873-021-00466-8

Other articles of this Issue 1/2021

BMC Emergency Medicine 1/2021 Go to the issue