Cost Transparency in Neurosurgery: A Single-Institution Analysis of Patient Out-of-Pocket Spending in 13 673 Consecutive Neurosurgery Cases

Document Type

Article

Abstract

BACKGROUND: Patient out-of-pocket (OOP) spending is an increasingly discussed topic; however, there is minimal data available on the patient financial burden of surgical procedures. OBJECTIVE: To analyze hospital and surgeon expected payment data and patient OOP spending in neurosurgery. METHODS: This is a retrospective cohort study of neurosurgical patients at a tertiary-referral center from 2013 to 2016. Expected payments, reflecting negotiated costs-of-care, as well as actual patient OOP payments for hospital care and surgeon professional fees were analyzed. A 4-tiered model of patient OOP cost sharing and a multivariate model of patient expected payments were created. RESULTS: A total of 13 673 consecutive neurosurgical cases were analyzed. Patient age, insurance type, case category, severity of illness, length of stay (LOS), and elective case status were significant predictors of increased expected payments (P <. 05). Craniotomy ($53 397 ± 811) and posterior spinal fusion ($48 329 ± 864) were associated with the highest expected payments. In a model of patient OOP cost sharing, nearly all neurosurgical procedures exceeded yearly OOP maximums for Healthcare Marketplace plans. Mean patient payments for hospital care and surgeon professional fees were the highest for anterior/lateral spinal fusion cases for commercially insured patients ($1662 ± 165). Mean expected payments and mean patient payments for commercially insured patients increased significantly from 2013 to 2016 (P <. 05). CONCLUSION: Expected payments and patient OOP spending for commercially insured patients significantly increased from 2013 to 2016, representing increased healthcare costs and patient cost sharing in an evolving healthcare environment. Patients and providers can consider this information prior to surgery to better anticipate the individual financial burden for neurosurgical care.

Publication Date

6-1-2019

Publication Title

Clinical Neurosurgery

ISSN

0148396X

E-ISSN

15244040

Volume

84

Issue

6

First Page

1280

Last Page

1289

PubMed ID

29767766

Digital Object Identifier (DOI)

10.1093/neuros/nyy185

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