Disparities in the Management of Pediatric Breast Masses

Midwest Pediatric Surgery Consortium

Research output: Contribution to journalArticlepeer-review

Abstract

Introduction: Disparities in surgical management have been documented across a range of disease processes. The objective of this study was to investigate sociodemographic disparities in young females undergoing excision of a breast mass. Methods: A retrospective study of females aged 10-21 y who underwent surgery for a breast lesion across eleven pediatric hospitals from 2011 to 2016 was performed. Differences in patient characteristics, workup, management, and pathology by race/ethnicity, insurance status, median neighborhood income, and urbanicity were evaluated with bivariate and multivariable regression analyses. Results: A total of 454 females were included, with a median age of 16 y interquartile range (IQR: 3). 44% of patients were nonHispanic (NH) Black, 40% were NH White, and 7% were Hispanic. 50% of patients had private insurance, 39% had public insurance, and 9% had other/unknown insurance status. Median neighborhood income was $49,974, and 88% of patients resided in a metropolitan area. NH Whites have 4.5 times the odds of undergoing preoperative fine needle aspiration or core needle biopsy compared to NH Blacks (CI: 2.0, 10.0). No differences in time to surgery from the initial imaging study, size of the lesion, or pathology were observed on multivariable analysis. Conclusions: We found no significant differences by race/ethnicity, insurance status, household income, or urbanicity in the time to surgery after the initial imaging study. The only significant disparity noted on multivariable analysis was NH White patients were more likely to undergo preoperative biopsy than were NH Black patients; however, the utility of biopsy in pediatric breast masses is not well established.

Original languageEnglish
Pages (from-to)648-656
Number of pages9
JournalJournal of Surgical Research
Volume279
DOIs
StatePublished - Nov 2022

Keywords

  • Fibroadenoma
  • Household income
  • Insurance
  • Race/ethnicity
  • Rural
  • Urban

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