An asynchronous web-based intervention for neurosurgery residents to improve education on cost-effective care.

OBJECTIVE: To gauge resident knowledge in the socioeconomic aspects of neurosurgery and assess the efficacy of an asynchronous, longitudinal, web-based, socioeconomics educational program tailored for neurosurgery residents. METHODS: Trainees completed a 20-question pre- and post-intervention knowledge examination including four educational categories: billing/coding, procedure-specific concepts, material costs, and operating room protocols. Structured data from 12 index cranial neurosurgical operations were organized into 5 online, case-based modules sent to residents within a single training program via weekly e-mail. Content from each educational category was integrated into the weekly modules for resident review. RESULTS: Twenty-seven neurosurgical residents completed the survey. Overall, there was no statistically significant difference between pre- vs post-intervention resident knowledge of billing/coding (79.2 % vs 88.2 %, p = 0.33), procedure-specific concepts (34.3 % vs 39.2 %, p = 0.11), material costs (31.7 % vs 21.6 %, p = 0.75), or operating room protocols (51.7 % vs 35.3 %, p = 0.61). However, respondents' accuracy increased significantly by 40.8 % on questions containing content presented more than 3 times during the 5-week study period, compared to an increased accuracy of only 2.2 % on questions containing content presented less often during the same time period (p = 0.05). CONCLUSIONS: Baseline resident knowledge in socioeconomic aspects of neurosurgery is relatively lacking outside of billing/coding. Our socioeconomic educational intervention demonstrates some promise in improving socioeconomic knowledge among neurosurgery trainees, particularly when content is presented frequently. This decentralized, web-based approach to resident education may serve as a future model for self-driven learning initiatives among neurosurgical residents with minimal disruption to existing workflows.

Social determinants of health and the prediction of 90-day mortality among brain tumor patients.

OBJECTIVE: Within the neurosurgical oncology literature, the effect of structural and socioeconomic factors on postoperative outcomes remains unclear. In this study, the authors quantified the effects of social determinant of health (SDOH) disparities on hospital complications, length of stay (LOS), nonroutine discharge, 90-day readmission, and 90-day mortality following brain tumor surgery. METHODS: The authors retrospectively reviewed the records of brain tumor patients who had undergone resection at a single institution in 2017-2019. The prevalence of SDOH disparities among patients was tracked using International Classification of Diseases Ninth and Tenth Revisions (ICD-9 and ICD-10) codes. Bivariate (Mann-Whitney U-test and Fisher's exact test) and multivariate (logistic and linear) regressions revealed whether there was an independent relationship between SDOH status and postoperative outcomes. RESULTS: The patient cohort included 2519 patients (mean age 55.27 ± 15.14 years), 187 (7.4%) of whom experienced at least one SDOH disparity. Patients who experienced an SDOH disparity were significantly more likely to be female (OR 1.36, p = 0.048), Black (OR 1.91, p < 0.001), and unmarried (OR 1.55, p = 0.0049). Patients who experienced SDOH disparities also had significantly higher 5-item modified frailty index (mFI-5) scores (p < 0.001) and American Society of Anesthesiologists (ASA) classes (p = 0.0012). Experiencing an SDOH disparity was associated with a significantly longer hospital LOS (p = 0.0036), greater odds of a nonroutine discharge (OR 1.64, p = 0.0092), and greater odds of 90-day mortality (OR 2.82, p = 0.0016) in the bivariate analysis. When controlling for patient demographics, tumor diagnosis, mFI-5 score, ASA class, surgery number, and SDOH status, SDOHs independently predicted hospital LOS (coefficient = 1.22, p = 0.016) and increased odds of 90-day mortality (OR 2.12, p = 0.028). CONCLUSIONS: SDOH disparities independently predicted a prolonged hospital LOS and 90-day mortality in brain tumor patients. Working to address these disparities offers a new avenue through which to reduce patient morbidity and mortality following brain tumor surgery.