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Predictors of 30- and 90-day readmission following craniotomy for malignant brain tumors: analysis of nationwide data
Author(s) -
Daniel A. Donoho,
Timothy Wen,
Robin Babadjouni,
William Schwartzman,
Ian A. Buchanan,
Steven Cen,
Gabriel Zada,
William J. Mack,
Frank J. Attenello
Publication year - 2017
Publication title -
journal of neuro-oncology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.256
H-Index - 114
eISSN - 1573-7373
pISSN - 0167-594X
DOI - 10.1007/s11060-017-2625-3
Subject(s) - medicine , craniotomy , medicaid , multivariate analysis , neurosurgery , emergency medicine , hospital readmission , univariate analysis , comorbidity , health care , surgery , economics , economic growth
Hospital readmissions are a major contributor to increased health care costs and are associated with worse patient outcomes after neurosurgery. We used the newly released Nationwide Readmissions Database (NRD) to describe the association between patient, hospital and payer factors with 30- and 90-day readmission following craniotomy for malignant brain tumor. All adult inpatients undergoing craniotomy for primary and secondary malignant brain tumors in the NRD from 2013 to 2014 were included. We identified all cause readmissions within 30- and 90-days following craniotomy for tumor, excluding scheduled chemotherapeutic procedures. We used univariate and multivariate models to identify patient, hospital and administrative factors associated with readmission. We identified 27,717 admissions for brain tumor craniotomy in 2013-2014, with 3343 (13.2%) 30-day and 5271 (25.7%) 90-day readmissions. In multivariate analysis, patients with Medicaid and Medicare were more likely to be readmitted at 30- and 90-days compared to privately insured patients. Patients with two or more comorbidities were more likely to be readmitted at 30- and 90-days, and patients discharged to skilled nursing facilities or home health care were associated with increased 90-day readmission rates. Finally, hospital procedural volume above the 75th percentile was associated with decreased 90-day readmission rates. Patients treated at high volume hospitals are less likely to be readmitted at 90-days. Insurance type, non-routine discharge and patient comorbidities are predictors of postoperative non-scheduled readmission. Further studies may elucidate potentially modifiable risk factors when attempting to improve outcomes and reduce cost associated with brain tumor surgery.

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