Purpose <p>The objective of this study was to evaluate how gender, academic rank, and race/ethnicity impact general industry payments for pediatric and adult gastroenterologists before and after the COVID-19 pandemic.</p> Methods <p>This is a retrospective cross-sectional study using data from Open Payments for pediatric and adult gastroenterologists from 2015, 2019, and 2021. Given concerns for the effect of academic rank, gastroenterologists at top-ranking pediatric and adult gastroenterology institutions were paired with data from Open Payments during analysis as well. Summary statistics regarding payments by gender, race/ethnicity, academic rank, and amount of payment were described. Furthermore, the effect of gender and race/ethnicity on the total sum of general payments was tested with a logistic regression model; within the top-ranking institutions, rank was added to this model.</p> Results <p>Our findings show that women received lower median payments across all subgroups. Even after adjusting for confounding factors of race/ethnicity and academic rank, gender disparities persisted, with men 1.5 to 2 times as likely to receive higher numbers of payments. </p> Conclusions <p>Analyses must continue to evaluate disparities and allow for continued advancements toward gender payment equity.</p>

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The Impact of Gender, Rank, and Race on Industry Payments in Pediatric and Adult Gastroenterology

  • Elizabeth Spencer,
  • Pooja Kothari,
  • Manasai Agrawal,
  • Serre-yu Wong

摘要

Purpose

The objective of this study was to evaluate how gender, academic rank, and race/ethnicity impact general industry payments for pediatric and adult gastroenterologists before and after the COVID-19 pandemic.

Methods

This is a retrospective cross-sectional study using data from Open Payments for pediatric and adult gastroenterologists from 2015, 2019, and 2021. Given concerns for the effect of academic rank, gastroenterologists at top-ranking pediatric and adult gastroenterology institutions were paired with data from Open Payments during analysis as well. Summary statistics regarding payments by gender, race/ethnicity, academic rank, and amount of payment were described. Furthermore, the effect of gender and race/ethnicity on the total sum of general payments was tested with a logistic regression model; within the top-ranking institutions, rank was added to this model.

Results

Our findings show that women received lower median payments across all subgroups. Even after adjusting for confounding factors of race/ethnicity and academic rank, gender disparities persisted, with men 1.5 to 2 times as likely to receive higher numbers of payments.

Conclusions

Analyses must continue to evaluate disparities and allow for continued advancements toward gender payment equity.