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Updated: Jan 27, 2026

A Detailed Protocol for Physiological Parameters Acquisition and Analysis in Neurosurgical Critical Patients
Published on: October 17, 2017
Analysis of Treatment Cost Variation Among Multiple Neurosurgical Procedures Using the Value-Driven Outcomes Database
Jared C Reese1, Spencer Twitchell1, Herschel Wilde1
1School of Medicine, Clinical Neurosciences Center, University of Utah, Salt Lake City, Utah, USA.
Background:
Health care costs comprise a substantial portion of total national expenditure. Although interest in cost-effectiveness analysis in neurosurgery has increased, there has been little cross-comparison of neurosurgical procedures. The aim of this study was to compare costs across elective neurosurgical procedures to understand whether drivers of cost differ.
Methods:
The Value Driven Outcomes database was used to evaluate treatment costs for resection of vestibular schwannoma, intracranial meningioma, gliomas, and pituitary adenoma; anterior cervical discectomy and fusion and lumbar spinal fusion; and aneurysm treatment.
Results:
A total of 1997 patients (mean age 54.6 ± 14.5 years; 45.2% male) were evaluated. The mean length of stay (LOS) was 4.0 ± 4.4 days. For cases involving hardware implantation, including spine fusion or aneurysm treatment, supplies and implants (49.1%) accounted for the largest fraction of costs followed by facility costs (37.9%). For cases that did not involve hardware, including tumor cases, facility costs (63.9%) were the largest fraction, followed by supplies and implants (16.2%). Aneurysm treatment and lumbar fusion were 1.5-3 times more costly than cranial tumor resection and anterior cervical discectomy and fusion per patient. Multivariate linear regression demonstrated that LOS (β = 0.7, P = 0.0001) and patient treatment type (β = 0.2, P = 0.0001) had the greatest effect on costs. LOS correlated with cost differently depending on case type; its effect was largest for patients with meningioma and smallest for patients with vestibular schwannoma. Costs across time increased similarly for all case types.
Conclusions:
Costs for neurosurgical procedures vary widely depending on treatment type and correlated directly with LOS. Strategies to reduce cost may require different approaches depending on procedure type.
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