• World Neurosurg · Sep 2017

    Assessment of Cost Drivers in Transsphenoidal Approaches for Resection of Pituitary Tumors using the Value-Driven Outcome Database.

    • Michael Karsy, Andrea A Brock, Jian Guan, Erica F Bisson, and William T Couldwell.
    • Department of Neurosurgery, University of Utah, Salt Lake City, Utah, USA.
    • World Neurosurg. 2017 Sep 1; 105: 818-823.

    BackgroundReducing health care costs while improving quality of care has become imperative in neurosurgical care. The Value-Driven Outcome database at the University of Utah identifies cost drivers and tracks changes over time.MethodsRetrospective review was performed for transsphenoidal resections of pituitary adenomas from July 2012 to September 2016. Total cost, subcategory costs, and potential cost drivers were evaluated.ResultsThere were 272 patients (mean age 51.5 years ± 17.7, 45.6% male) with mean length of stay of 4 days ± 4 evaluated. Total costs included facility utilization (60%), physician professional fees (16%), pharmacy (11%), supplies and implants (7%), laboratory studies (5%), and imaging (1%). Facility costs were driven by neurocritical care unit (30.7%), neurosurgical operating room (16.6%), and neurosurgical floor (11.2%) costs. Multivariable linear regression, after adjusting for length of stay and American Society of Anesthesiologists grade, showed that overall cost was heavily influenced by facility utilization (ρ = 0.98, P = 0.001), pharmacy (ρ = 0.71, P = 0.001), supplies and implants (ρ = 0.51, P = 0.0001), imaging (ρ = 0.51, P = 0.0001), and laboratory (ρ = 0.79, P = 0.001) costs. The top 10 outlier patients accounted for 18.7% of total costs (mean cost for all patients 0.24% ± 0.29).ConclusionsOur results highlight the importance of facility utilization and pharmaceutical, supply/implant, imaging, and laboratory costs as overall cost drivers during transsphenoidal pituitary tumor resection. Facility utilization was a stronger cost driver than any other aspect of care. Strategies to mitigate cost include stratifying low-risk patients to an intermediate care unit and reducing length of stay.Copyright © 2017 Elsevier Inc. All rights reserved.

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