Evaluating Spatial Associations in Inpatient Deaths Between Organ Procurement Organizations

Background. To improve the measurement of organ procurement organization (OPO) performance, the Center for Medicare and Medicaid Services recently proposed using inpatient deaths defined as the eligible pool of organ donors within an OPO as patients 75 years or younger that died from any cause that...

Full description

Bibliographic Details
Main Authors: Joel T. Adler, MD, MPH, Tanujit Dey, PhD
Format: Article
Language:English
Published: Wolters Kluwer 2021-03-01
Series:Transplantation Direct
Online Access:http://journals.lww.com/transplantationdirect/fulltext/10.1097/TXD.0000000000001109
id doaj-fbc5eebbedd84b30823196fd428f1e01
record_format Article
spelling doaj-fbc5eebbedd84b30823196fd428f1e012021-06-28T03:16:03ZengWolters KluwerTransplantation Direct2373-87312021-03-0173e66810.1097/TXD.0000000000001109202103000-00005Evaluating Spatial Associations in Inpatient Deaths Between Organ Procurement OrganizationsJoel T. Adler, MD, MPH0Tanujit Dey, PhD11 Division of Transplantation, Department of Surgery, Brigham and Women’s Hospital, Boston, MA.2 Department of Surgery, Center for Surgery and Public Health, Brigham and Women’s Hospital, Boston, MA.Background. To improve the measurement of organ procurement organization (OPO) performance, the Center for Medicare and Medicaid Services recently proposed using inpatient deaths defined as the eligible pool of organ donors within an OPO as patients 75 years or younger that died from any cause that would not preclude donation. Methods. To account for the geographic variation in OPO performance and organ availability across the United States, we utilized spatial analysis to appraise the newly proposed metric of inpatient deaths. Results. Using spatial clustering that accounts for geographic relationships between Organ Procurement Organizations, the top 5 causes of donation-eligible death, and inpatient deaths, we identified 4 unique OPO clusters. Each group had a distinct demographic composition, cause of death, and inpatient death pattern. In multivariate analysis accounting for these geographic relationships, the spatial clusters remained significantly associated with the outcome of inpatient deaths (P < 0.001) and were the best-fitting model compared with models without the spatial clusters; this suggests that further risk adjustment of inpatient deaths should include these geographic considerations. Conclusions. This approach provides not only a manner to assess donor potential by improving risk adjustment but also an opportunity to further explore geographic and spatial relationships in the practice of organ transplantation and OPO performance.http://journals.lww.com/transplantationdirect/fulltext/10.1097/TXD.0000000000001109
collection DOAJ
language English
format Article
sources DOAJ
author Joel T. Adler, MD, MPH
Tanujit Dey, PhD
spellingShingle Joel T. Adler, MD, MPH
Tanujit Dey, PhD
Evaluating Spatial Associations in Inpatient Deaths Between Organ Procurement Organizations
Transplantation Direct
author_facet Joel T. Adler, MD, MPH
Tanujit Dey, PhD
author_sort Joel T. Adler, MD, MPH
title Evaluating Spatial Associations in Inpatient Deaths Between Organ Procurement Organizations
title_short Evaluating Spatial Associations in Inpatient Deaths Between Organ Procurement Organizations
title_full Evaluating Spatial Associations in Inpatient Deaths Between Organ Procurement Organizations
title_fullStr Evaluating Spatial Associations in Inpatient Deaths Between Organ Procurement Organizations
title_full_unstemmed Evaluating Spatial Associations in Inpatient Deaths Between Organ Procurement Organizations
title_sort evaluating spatial associations in inpatient deaths between organ procurement organizations
publisher Wolters Kluwer
series Transplantation Direct
issn 2373-8731
publishDate 2021-03-01
description Background. To improve the measurement of organ procurement organization (OPO) performance, the Center for Medicare and Medicaid Services recently proposed using inpatient deaths defined as the eligible pool of organ donors within an OPO as patients 75 years or younger that died from any cause that would not preclude donation. Methods. To account for the geographic variation in OPO performance and organ availability across the United States, we utilized spatial analysis to appraise the newly proposed metric of inpatient deaths. Results. Using spatial clustering that accounts for geographic relationships between Organ Procurement Organizations, the top 5 causes of donation-eligible death, and inpatient deaths, we identified 4 unique OPO clusters. Each group had a distinct demographic composition, cause of death, and inpatient death pattern. In multivariate analysis accounting for these geographic relationships, the spatial clusters remained significantly associated with the outcome of inpatient deaths (P < 0.001) and were the best-fitting model compared with models without the spatial clusters; this suggests that further risk adjustment of inpatient deaths should include these geographic considerations. Conclusions. This approach provides not only a manner to assess donor potential by improving risk adjustment but also an opportunity to further explore geographic and spatial relationships in the practice of organ transplantation and OPO performance.
url http://journals.lww.com/transplantationdirect/fulltext/10.1097/TXD.0000000000001109
work_keys_str_mv AT joeltadlermdmph evaluatingspatialassociationsininpatientdeathsbetweenorganprocurementorganizations
AT tanujitdeyphd evaluatingspatialassociationsininpatientdeathsbetweenorganprocurementorganizations
_version_ 1721357032084209664