Evaluating Single-Surgeon Bias Toward Recommending Corrective Procedures for Cervical Spondylotic Myelopathy Based on Demographic Factors and Comorbidities in a 484-Patient Cohort

Abstract

Study Design: Retrospective case series. Objectives: An increasing focus has been placed on removing implicit (unconscious) bias from the surgical selection process. In spine surgery, there is the potential for implicit bias to affect the decision to either operate on a patient or not, given lack of definitive surgical indications for many elective procedures. The objective of this study was to analyze the surgical decision making of a single spine surgeon in an effort to understand surgical decision-making trends based on certain demographic factors. Methods: This was a retrospective study of 484 patients who had undergone a corrective procedure for cervical myelopathy by an orthopedic spine surgeon at our institution. The preoperative modified Japanese Orthopaedic Association score served as the metric of severity of disease for cervical myelopathy. The factors that have been associated with implicit bias that were evaluated were smoking status, narcotic use status, gender, body mass index, and age. Results: Multivariate linear regression analysis showed that even after controlling for comorbidities and confounders, the only variable which predicted likelihood to operate on a patient of a milder symptomology was age (odds ratio [OR] = −0.138; (confidence interval [CI] = −0.034 to −0.006). The other factors (smoking status, narcotic use status, gender, and body mass index) were not associated with surgical decision making. Conclusions: Our study demonstrates absence of association between commonly studied areas of implicit bias and the decision to operate on a patient with milder symptomology at initial presentation of cervical spondylotic myelopathy.