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Cited by 197

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Cost-effectiveness analysis of spinal cord stimulation in treatment of failed back surgery syndrome

Open access
Bell, Gregory K., Kidd, David, North, Richard B.·1997·Journal of Pain and Symptom Management

Abstract

This article presents an analysis of the medical costs of spinal cord stimulation (SCS) therapy in the treatment of patients with failed back surgery syndrome (FBSS). We compared the medical costs of SCS therapy with an alternative regimen of surgeries and other interventions. Externally powered (external) and fully internalized (internal) SCS systems were considered separately. Clinical management models of each of the therapy alternatives were derived from the clinical literature, retrospective data sets, expert opinion, and published diagnostic and therapy protocols. No value was placed on pain relief or improvements in the quality of life that successful SCS therapy can generate. We found that by reducing the demand for medical care by FBSS patients, SCS therapy can lower medical costs. On average, given current screening and efficacy rates, SCS therapy pays for itself within 5.5 years. For those patients for whom SCS therapy is clinically efficacious, the therapy pays for itself within 2.1 years.

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Metadata

Authors
Bell, G. K., Kidd, D., & North, R. B.
Venue
Journal of Pain and Symptom Management
Publisher
Elsevier BV
Published
1997-05
Volume
13
Issue
5
Pages
286-295
ISSN
0885-3924 (ISSN-L)
OpenAlex
W2107035357
Cited by
197
References
0
FWCI
7.44
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: Cost-effectiveness analysis of spinal cord stimulation in treatment of failed back surgery syndrome. https://app.cochat.ai/papers/10.1016/s0885-3924(96)00323-5
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Bell, G. K., Kidd, D., & North, R. B. (1997). Cost-effectiveness analysis of spinal cord stimulation in treatment of failed back surgery syndrome. Journal of Pain and Symptom Management. https://doi.org/10.1016/s0885-3924(96)00323-5

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.