Evidence map›Paper›PMID 35854169›Full record

ArticleHealth care management science2024

Heterogeneous donor circles for fair liver transplant allocation.

Shubham Akshat, Sommer E Gentry, S Raghavan

Abstract read
In one paragraph

Article in Health care management science, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Shubham AkshatThe Robert H. Smith School of Business, University of Maryland, College Park, MD, 20742, USA.
Sommer E GentryDepartment of Surgery and Department of Population Health, Grossman School of Medicine, New York University, New York, NY, 10016, USA.
S RaghavanThe Robert H. Smith School of Business and Institute for Systems Research, University of Maryland, College Park, MD, 20742, USA. raghavan@umd.edu.ORCID http://orcid.org/0000-0002-9656-5596

Funding

Continuous allocation score design for guaranteeing equity and reducing discards in kidney and liver transplantationR01DK132395 · NIDDK · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI Allan B Massie · 2023 to 2026
$2.7M
NIDDK NIH HHS R01 DK132395
6 · The paper itself

Abstract

The United States (U.S.) Department of Health and Human Services is interested in increasing geographical equity in access to liver transplant. The geographical disparity in the U.S. is fundamentally an outcome of variation in the organ supply to patient demand (s/d) ratios across the country (which cannot be treated as a single unit due to its size). To design a fairer system, we develop a nonlinear integer programming model that allocates the organ supply in order to maximize the minimum s/d ratios across all transplant centers. We design circular donation regions that are able to address the issues raised in legal challenges to earlier organ distribution frameworks. This allows us to reformulate our model as a set-partitioning problem. Our policy can be viewed as a heterogeneous donor circle policy, where the integer program optimizes the radius of the circle around each donation location. Compared to the current policy, which has fixed radius circles around donation locations, the heterogeneous donor circle policy greatly improves both the worst s/d ratio and the range between the maximum and minimum s/d ratios. We found that with the fixed radius policy of 500 nautical miles (NM), the s/d ratio ranges from 0.37 to 0.84 at transplant centers, while with the heterogeneous circle policy capped at a maximum radius of 500 NM, the s/d ratio ranges from 0.55 to 0.60, closely matching the national s/d ratio average of 0.5983. Our model matches the supply and demand in a more equitable fashion than existing policies and has a significant potential to improve the liver transplantation landscape.

Indexed as

Liver TransplantationTissue and Organ ProcurementHumansPolicyTissue DonorsUnited StatesWaiting ListsGeographical disparityHealth care policyLiver transplantOperations researchOptimization

Identifiers

PMID35854169
PMCPMC10896798

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.