Predictors of pediatric readmissions among patients with neurological conditions.


Journal

BMC neurology
ISSN: 1471-2377
Titre abrégé: BMC Neurol
Pays: England
ID NLM: 100968555

Informations de publication

Date de publication:
05 Jan 2021
Historique:
received: 25 07 2020
accepted: 14 12 2020
entrez: 6 1 2021
pubmed: 7 1 2021
medline: 17 3 2021
Statut: epublish

Résumé

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. 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. 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). 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.

Sections du résumé

BACKGROUND 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 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 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 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.

Identifiants

pubmed: 33402138
doi: 10.1186/s12883-020-02028-0
pii: 10.1186/s12883-020-02028-0
pmc: PMC7784269
doi:

Types de publication

Journal Article Multicenter Study

Langues

eng

Sous-ensembles de citation

IM

Pagination

5

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Auteurs

Ryan O'Connell (R)

Sharon Disney Lund Medical Intelligence and Innovation Institute (MI3) at CHOC, Orange, California, USA.
Children's Hospital of Orange County (CHOC), Orange, California, USA.
Department of Emergency Medicine, University of California - Irvine, Irvine, California, USA.

William Feaster (W)

Sharon Disney Lund Medical Intelligence and Innovation Institute (MI3) at CHOC, Orange, California, USA.
Children's Hospital of Orange County (CHOC), Orange, California, USA.

Vera Wang (V)

Sharon Disney Lund Medical Intelligence and Innovation Institute (MI3) at CHOC, Orange, California, USA.
Neuroscience, Hamilton College, Clinton, New York, USA.

Sharief Taraman (S)

Sharon Disney Lund Medical Intelligence and Innovation Institute (MI3) at CHOC, Orange, California, USA.
Children's Hospital of Orange County (CHOC), Orange, California, USA.
Department of Pediatrics, University of California - Irvine, Irvine, California, USA.

Louis Ehwerhemuepha (L)

Sharon Disney Lund Medical Intelligence and Innovation Institute (MI3) at CHOC, Orange, California, USA. lehwerhemuepha@choc.org.
Children's Hospital of Orange County (CHOC), Orange, California, USA. lehwerhemuepha@choc.org.
Chapman University School of Computational and Data Science, Orange, California, USA. lehwerhemuepha@choc.org.

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Classifications MeSH