Geographic disparities in liver supply/demand ratio within fixed-distance and fixed-population circles

Am J Transplant. 2019 Jul;19(7):2044-2052. doi: 10.1111/ajt.15297. Epub 2019 Mar 18.

Abstract

Recent OPTN proposals to address geographic disparity in liver allocation have involved circular boundaries: the policy selected 12/17 allocated to 150-mile circles in addition to DSAs/regions, and the policy selected 12/18 allocated to 150-mile circles eliminating DSA/region boundaries. However, methods to reduce geographic disparity remain controversial, within the OPTN and the transplant community. To inform ongoing discussions, we studied center-level supply/demand ratios using SRTR data (07/2013-06/2017) for 27 334 transplanted deceased donor livers and 44 652 incident waitlist candidates. Supply was the number of donors from an allocation unit (DSA or circle), allocated proportionally (by waitlist size) to the centers drawing on these donors. We measured geographic disparity as variance in log-transformed supply/demand ratio, comparing allocation based on DSAs, fixed-distance circles (150- or 400-mile radius), and fixed-population (12- or 50-million) circles. The recently proposed 150-mile radius circles (variance = 0.11, P = .9) or 12-million-population circles (variance = 0.08, P = .1) did not reduce the geographic disparity compared to DSA-based allocation (variance = 0.11). However, geographic disparity decreased substantially to 0.02 in both larger fixed-distance (400-mile, P < .001) and larger fixed-population (50-million, P < .001) circles (P = .9 comparing fixed distance and fixed population). For allocation circles to reduce geographic disparities, they must be larger than a 150-mile radius; additionally, fixed-population circles are not superior to fixed-distance circles.

Keywords: Organ Procurement and Transplantation Network (OPTN); clinical research/practice; donors and donation: deceased; liver transplantation/hepatology; organ allocation.

Publication types

  • Research Support, N.I.H., Extramural

MeSH terms

  • Adult
  • Cadaver
  • End Stage Liver Disease / surgery*
  • Female
  • Geography
  • Health Services Accessibility
  • Health Services Needs and Demand / organization & administration*
  • Healthcare Disparities*
  • Humans
  • Liver Transplantation / statistics & numerical data*
  • Male
  • Middle Aged
  • Regional Health Planning / trends*
  • Tissue Donors / supply & distribution*
  • Tissue and Organ Procurement / organization & administration*
  • Waiting Lists