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Predictors of pediatric readmissions among patients with neurological conditions

BACKGROUND: Unplanned readmission is one of many measures of the quality of care of pediatric patients with neurological conditions. In this multicenter study, we searched for novel risk factors of readmission of patients with neurological conditions. METHODS: We retrieved hospitalization data of pa...

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Autores principales: O’Connell, Ryan, Feaster, William, Wang, Vera, Taraman, Sharief, Ehwerhemuepha, Louis
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7784269/
https://www.ncbi.nlm.nih.gov/pubmed/33402138
http://dx.doi.org/10.1186/s12883-020-02028-0
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author O’Connell, Ryan
Feaster, William
Wang, Vera
Taraman, Sharief
Ehwerhemuepha, Louis
author_facet O’Connell, Ryan
Feaster, William
Wang, Vera
Taraman, Sharief
Ehwerhemuepha, Louis
author_sort O’Connell, Ryan
collection PubMed
description BACKGROUND: Unplanned readmission is one of many measures of the quality of care of pediatric patients with neurological conditions. In this multicenter study, we searched for novel risk factors of readmission of patients with neurological conditions. METHODS: We retrieved hospitalization data of patients less than 18 years with one or more neurological conditions. This resulted in a total of 105,834 encounters from 18 hospitals. We included data on patient demographics, prior healthcare resource utilization, neurological conditions, number of other conditions/diagnoses, number of medications, and number of surgical procedures performed. We developed a random intercept logistic regression model using stepwise minimization of Akaike Information Criteria for variable selection. RESULTS: The most important neurological conditions associated with unplanned pediatric readmissions include hydrocephalus, inflammatory diseases of the central nervous system, sleep disorders, disease of myoneural junction and muscle, other central nervous system disorder, other spinal cord conditions (such as vascular myelopathies, and cord compression), and nerve, nerve root and plexus disorders. Current and prior healthcare resource utilization variables, number of medications, other diagnoses, and certain inpatient surgical procedures were associated with changes in odds of readmission. The area under the receiver operator characteristic curve (AUROC) on the independent test set is 0.733 (0.722, 0.743). CONCLUSIONS: Pediatric patients with certain neurological conditions are more likely to be readmitted than others. However, current and prior healthcare resource utilization remain some of the strongest indicators of readmission within this population as in the general pediatric population. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12883-020-02028-0.
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spelling pubmed-77842692021-01-14 Predictors of pediatric readmissions among patients with neurological conditions O’Connell, Ryan Feaster, William Wang, Vera Taraman, Sharief Ehwerhemuepha, Louis BMC Neurol Research Article BACKGROUND: Unplanned readmission is one of many measures of the quality of care of pediatric patients with neurological conditions. In this multicenter study, we searched for novel risk factors of readmission of patients with neurological conditions. METHODS: We retrieved hospitalization data of patients less than 18 years with one or more neurological conditions. This resulted in a total of 105,834 encounters from 18 hospitals. We included data on patient demographics, prior healthcare resource utilization, neurological conditions, number of other conditions/diagnoses, number of medications, and number of surgical procedures performed. We developed a random intercept logistic regression model using stepwise minimization of Akaike Information Criteria for variable selection. RESULTS: The most important neurological conditions associated with unplanned pediatric readmissions include hydrocephalus, inflammatory diseases of the central nervous system, sleep disorders, disease of myoneural junction and muscle, other central nervous system disorder, other spinal cord conditions (such as vascular myelopathies, and cord compression), and nerve, nerve root and plexus disorders. Current and prior healthcare resource utilization variables, number of medications, other diagnoses, and certain inpatient surgical procedures were associated with changes in odds of readmission. The area under the receiver operator characteristic curve (AUROC) on the independent test set is 0.733 (0.722, 0.743). CONCLUSIONS: Pediatric patients with certain neurological conditions are more likely to be readmitted than others. However, current and prior healthcare resource utilization remain some of the strongest indicators of readmission within this population as in the general pediatric population. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12883-020-02028-0. BioMed Central 2021-01-05 /pmc/articles/PMC7784269/ /pubmed/33402138 http://dx.doi.org/10.1186/s12883-020-02028-0 Text en © The Author(s) 2021 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research Article
O’Connell, Ryan
Feaster, William
Wang, Vera
Taraman, Sharief
Ehwerhemuepha, Louis
Predictors of pediatric readmissions among patients with neurological conditions
title Predictors of pediatric readmissions among patients with neurological conditions
title_full Predictors of pediatric readmissions among patients with neurological conditions
title_fullStr Predictors of pediatric readmissions among patients with neurological conditions
title_full_unstemmed Predictors of pediatric readmissions among patients with neurological conditions
title_short Predictors of pediatric readmissions among patients with neurological conditions
title_sort predictors of pediatric readmissions among patients with neurological conditions
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7784269/
https://www.ncbi.nlm.nih.gov/pubmed/33402138
http://dx.doi.org/10.1186/s12883-020-02028-0
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