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Measuring and monitoring equity in access to deceased donor kidney transplantation.
Stewart, D E; Wilk, A R; Toll, A E; Harper, A M; Lehman, R R; Robinson, A M; Noreen, S A; Edwards, E B; Klassen, D K.
Afiliação
  • Stewart DE; Research Department, United Network for Organ Sharing, Richmond, VA, USA.
  • Wilk AR; Research Department, United Network for Organ Sharing, Richmond, VA, USA.
  • Toll AE; Research Department, United Network for Organ Sharing, Richmond, VA, USA.
  • Harper AM; Research Department, United Network for Organ Sharing, Richmond, VA, USA.
  • Lehman RR; Research Department, United Network for Organ Sharing, Richmond, VA, USA.
  • Robinson AM; Research Department, United Network for Organ Sharing, Richmond, VA, USA.
  • Noreen SA; Research Department, United Network for Organ Sharing, Richmond, VA, USA.
  • Edwards EB; Research Department, United Network for Organ Sharing, Richmond, VA, USA.
  • Klassen DK; Chief Medical Officer, United Network for Organ Sharing, Richmond, VA, USA.
Am J Transplant ; 18(8): 1924-1935, 2018 08.
Article em En | MEDLINE | ID: mdl-29734498
ABSTRACT
The Organ Procurement and Transplantation Network monitors progress toward strategic goals such as increasing the number of transplants and improving waitlisted patient, living donor, and transplant recipient outcomes. However, a methodology for assessing system performance in providing equity in access to transplants was lacking. We present a novel approach for quantifying the degree of disparity in access to deceased donor kidney transplants among waitlisted patients and determine which factors are most associated with disparities. A Poisson rate regression model was built for each of 29 quarterly, period-prevalent cohorts (January 1, 2010-March 31, 2017; 5 years pre-kidney allocation system [KAS], 2 years post-KAS) of active kidney waiting list registrations. Inequity was quantified as the outlier-robust standard deviation (SDw ) of predicted transplant rates (log scale) among registrations, after "discounting" for intentional, policy-induced disparities (eg, pediatric priority) by holding such factors constant. The overall SDw declined by 40% after KAS implementation, suggesting substantially increased equity. Risk-adjusted, factor-specific disparities were measured with the SDw after holding all other factors constant. Disparities associated with calculated panel-reactive antibodies decreased sharply. Donor service area was the factor most associated with access disparities post-KAS. This methodology will help the transplant community evaluate tradeoffs between equity and utility-centric goals when considering new policies and help monitor equity in access as policies change.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Doadores de Tecidos / Obtenção de Tecidos e Órgãos / Alocação de Recursos para a Atenção à Saúde / Listas de Espera / Transplante de Rim / Alocação de Recursos Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Adult / Female / Humans / Male / Middle aged Idioma: En Ano de publicação: 2018 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Doadores de Tecidos / Obtenção de Tecidos e Órgãos / Alocação de Recursos para a Atenção à Saúde / Listas de Espera / Transplante de Rim / Alocação de Recursos Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Adult / Female / Humans / Male / Middle aged Idioma: En Ano de publicação: 2018 Tipo de documento: Article