Literature DB >> 28893507

Race as a predictor of postoperative hospital readmission after spine surgery.

Joel R Martin1, Timothy Y Wang1, Daniel Loriaux1, Rupen Desai1, Maragatha Kuchibhatla2, Isaac O Karikari1, Carlos A Bagley1, Oren N Gottfried3.   

Abstract

Hospital readmission after surgery results in a substantial economic burden, and several recent studies have investigated the impact of race and ethnicity on hospital readmission rates, with the goal to identify hospitals and patients with high readmission risk. This single-institution, retrospective cohort study assesses the impact of race, along with other risk factors, on 30-day readmission rates following spinal surgery. This study is a single-institution retrospective cohort study with accrual from January 1, 2008, to December 31, 2010. Inclusion criteria included adult patients who underwent anterior and/or posterior spinal surgery. The primary aim of this study was to assess the impact of patient race and other risk factors for postoperative hospital readmission within 30days following spine surgery. A total of 1346 patients (654 male, 692 female) were included in the study. Overall, 159 patients (11.8%) were readmitted in the 30days following their surgery. Multivariate logistic regression found significant risk factors for 30-day readmission, including Black race (OR: 2.20, C.I. 95% (1.04, 4.64)) and total length of stay greater than 7days (OR: 4.73, C.I. 95% (1.72, 12.98)). Cervical surgery was associated with decreased odds of readmission (OR: 0.27, C.I. 95% (0.08, 0.91)). Our study demonstrates that race and length of hospital stay influence the incidence of 30-day readmission rates after spinal surgery. Studies such as ours will aid in identifying patients with postoperative readmission risk and help elucidate the underlying factors that may be contributing to disparities in readmission after surgery.
Copyright © 2017 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Health expenditures; Health status disparities; Hospital readmission; Outcomes

Mesh:

Year:  2017        PMID: 28893507     DOI: 10.1016/j.jocn.2017.08.015

Source DB:  PubMed          Journal:  J Clin Neurosci        ISSN: 0967-5868            Impact factor:   1.961


  2 in total

1.  A validated preoperative score for predicting 30-day readmission after 1-2 level elective posterior lumbar fusion.

Authors:  Deeptee Jain; Paramjit Singh; Mayur Kardile; Sigurd H Berven
Journal:  Eur Spine J       Date:  2019-03-09       Impact factor: 3.134

2.  Predictors of 30-Day Unplanned Readmissions, Complications, and Mortality Following Operative Management of C2 Fractures.

Authors:  David N Bernstein; Caroline Thirukumaran; Brandon Raudenbush; Robert W Molinari; Emmanuel N Menga; Addisu Mesfin
Journal:  Global Spine J       Date:  2019-05-01
  2 in total

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