Literature DB >> 30335159

Length of Stay Beyond Medical Readiness in Neurosurgical Patients: A Prospective Analysis.

Joseph R Linzey1, Elyne N Kahn2, Maksim A Shlykov1,3, Kyle T Johnson2, Katie Sullivan2, Aditya S Pandey2.   

Abstract

BACKGROUND: In an era of growing healthcare costs, there is increased pressure on medical care providers to discharge patients once they are medically fit. However, it is not uncommon for patients to stay beyond medical readiness (BMR).
OBJECTIVE: To analyze the frequency with which patients remain in the hospital BMR.
METHODS: A prospective cohort analysis utilizing a database maintained between 2014 and 2015 included 718 adults admitted to the neurosurgical service. The attending for admitted patients was asked on a daily basis as to whether the patient was medically cleared for discharge. Standard statistical analyses were performed.
RESULTS: Of the 718 patients, 105 (14.6%) remained in the hospital BMR. Of the patients who presented with a spinal pathology, 17.8% had a length of stay (LOS)-BMR compared to 13.9% who presented with cerebrovascular pathologies and 14.8% who presented with a brain tumor. The average LOS-BMR was 1.8 d. Only 7.7% of patients who were discharged home had an LOS-BMR compared to 30.7% of patients who were discharged to a skilled nursing facility or rehabilitation center (P < .001). In logistic regression, a physical therapy consultation and discharge to a specialized nursing facility were both associated with a longer LOS (average 2.4 d longer, P < .001, and 6.2 d longer, P = .028, respectively). However, neither was associated with an LOS-BMR.
CONCLUSION: LOS-BMR is an important process engineering concept within neurosurgery that represents a potential area for improvement to maximize limited healthcare resources. A sizeable portion of neurosurgical patients remained in the hospital BMR.
Copyright © 2018 by the Congress of Neurological Surgeons.

Entities:  

Keywords:  Discharge; Health costs; Length of stay; Medical readiness; Neurosurgery

Mesh:

Year:  2019        PMID: 30335159     DOI: 10.1093/neuros/nyy440

Source DB:  PubMed          Journal:  Neurosurgery        ISSN: 0148-396X            Impact factor:   4.654


  2 in total

1.  Readmission after neurosurgical intervention in epilepsy: A nationwide cohort analysis.

Authors:  Churl-Su Kwon; Parul Agarwal; Varsha Subramaniam; Mandip Dhamoon; Madhu Mazumdar; Anusha Yeshokumar; Fedor Panov; Saadi Ghatan; Nathalie Jetté
Journal:  Epilepsia       Date:  2019-12-02       Impact factor: 5.864

2.  Performance of Artificial Intelligence-Based Algorithms to Predict Prolonged Length of Stay after Lumbar Decompression Surgery.

Authors:  Babak Saravi; Alisia Zink; Sara Ülkümen; Sebastien Couillard-Despres; Frank Hassel; Gernot Lang
Journal:  J Clin Med       Date:  2022-07-13       Impact factor: 4.964

  2 in total

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