Association between social determinants of health and select neurosurgical procedures in the National Spina Bifida Patient Registry.

OBJECTIVE

Myelomeningocele (MMC) is a lifelong condition requiring complex multidisciplinary management. Using the National Spina Bifida Patient Registry (NSBPR), the authors tested the association between sociodemographic variables and odds of undergoing neurosurgical procedures.

METHODS

The authors extracted sociodemographic, clinical, and neurosurgical procedure data on participants with MMC aged ≥ 1 year who visited an NSBPR clinic between 2009 and 2020. The zip code of the participant's residence at the time of the last spina bifida clinic visit was linked to the Distressed Communities Index (DCI) tier. Multivariate models were built to identify factors associated with undergoing CSF diversion, shunt revision, tethered cord release (TCR), and Chiari decompression.

RESULTS

There were 7924 participants with a median visit age of 13 years (IQR 7-20 years); 49.1% were male, 30.2% were non-Hispanic Black or Hispanic, 54.5% had public/supplemental insurance, and 16.9% were from distressed communities. CSF diversion, shunt revision, TCR, and Chiari decompression were performed in 81.8%, 47.7%, 22.9%, and 8.7% of participants, respectively. In multivariate analyses controlling for age, sex, insurance, DCI tier, lesion level, and surgical closure timing, Hispanic individuals were less likely than their non-Hispanic White counterparts to undergo shunt revision (p = 0.013). Non-Hispanic Black and Hispanic individuals were less likely to undergo TCR (p < 0.001 each) or Chiari decompression (p < 0.001 each). Compared with privately insured individuals, publicly insured individuals were more likely to undergo CSF diversion (p = 0.031). Those in distressed communities had increased odds of undergoing CSF diversion (p = 0.004) than those in prosperous communities.

CONCLUSIONS

Among individuals with MMC participating in the NSBPR, there were differences in receiving neurosurgical procedures by race/ethnicity, insurance type, and DCI tier. Additional prospective studies are necessary to elucidate the reasons for these variations and their impact on long-term outcomes for this patient population in order to created targeted interventions.