Literature DB >> 27810418

Discharge to a rehabilitation facility is associated with decreased 30-day readmission in elective spinal surgery.

Nicholas B Abt1, Brandon A McCutcheon2, Panagiotis Kerezoudis2, Meghan Murphy2, Lorenzo Rinaldo2, Jeremy Fogelson3, Ahmad Nassr4, Bradford L Currier4, Mohamad Bydon5.   

Abstract

The aim of our study was to determine independent predictors of discharge disposition to rehabilitation or skilled care (SC) facilities and investigate whether discharge location is associated with unplanned readmission and/or reoperation rates. All elective spinal surgery patients in a national surgical registry were analyzed using between 2011 and 2012. Multivariable logistic regression analysis was used to assess for predictors of discharge to rehabilitation or SC facilities versus home as well as to determine whether discharge disposition was significantly associated with the 30-day unplanned readmission or reoperation. Of 34,023 elective spinal surgery patients, the distribution of discharge locations was as follows: 30,606 (90.0%) discharged home, 1674 (4.9%) discharged to rehabilitation, and 1743 (5.1%) discharged to SC. Patients discharged home were associated with the lowest complication rate relative to rehabilitation and SC facilities. Following multivariable regression analysis, there was a significant increase in the odds of discharge to rehabilitation associated with age, male gender, current smoking, ASA class three and four, history of diabetes, operative time, total hospital length of stay, preoperative neurologic morbidity and having at least one postoperative morbidity event. Moreover, there were 804 (4.06%) 30-day unplanned readmissions and 822 (2.45%) unplanned reoperations. After risk adjustment, discharge to rehabilitation was independently associated with decreased odds of 30-day unplanned readmission (OR=0.41; p=0.008) but not reoperation.
Copyright © 2016 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Discharge; Disposition; Nsqip; Readmission; Rehabilitation; Spinal surgery

Mesh:

Year:  2016        PMID: 27810418     DOI: 10.1016/j.jocn.2016.10.029

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


  5 in total

1.  Development of a machine learning algorithm predicting discharge placement after surgery for spondylolisthesis.

Authors:  Paul T Ogink; Aditya V Karhade; Quirina C B S Thio; Stuart H Hershman; Thomas D Cha; Christopher M Bono; Joseph H Schwab
Journal:  Eur Spine J       Date:  2019-03-27       Impact factor: 3.134

2.  Predicting discharge placement after elective surgery for lumbar spinal stenosis using machine learning methods.

Authors:  Paul T Ogink; Aditya V Karhade; Quirina C B S Thio; William B Gormley; Fetullah C Oner; Jorrit J Verlaan; Joseph H Schwab
Journal:  Eur Spine J       Date:  2019-04-02       Impact factor: 3.134

3.  The association of discharge destination with 30-day rehospitalization rates among older adults receiving lumbar spinal fusion surgery.

Authors:  Chad Cook; Rogelio A Coronado; Janet Prvu Bettger; James E Graham
Journal:  Musculoskelet Sci Pract       Date:  2018-01-12       Impact factor: 2.520

4.  Discharge destination and readmissions among patients with head and neck cancer.

Authors:  Jacqueline Tucker; Christopher S Hollenbeak; Neerav Goyal
Journal:  Laryngoscope Investig Otolaryngol       Date:  2022-08-18

5.  Strategies for spinal surgery reimbursement: bundling in the working-age population.

Authors:  Michael K Dalton; Christer Mjåset; Adoma Manful; Melvin D Helgeson; William Wynn-Jones; Zara Cooper; Tracey P Koehlmoos; Joel S Weissman
Journal:  BMC Health Serv Res       Date:  2021-02-02       Impact factor: 2.655

  5 in total

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