Cargando…

Nephrologists' likelihood of referring patients for kidney transplant based on hypothetical patient scenarios

BACKGROUND: There is wide variation in referral for kidney transplant and preemptive kidney transplant (PKT). Patient characteristics such as age, race, sex and geographic location have been cited as contributing factors to this disparity. We hypothesize that the characteristics of nephrologists int...

Descripción completa

Detalles Bibliográficos
Autores principales: Tandon, Ankita, Wang, Ming, Roe, Kevin C., Patel, Surju, Ghahramani, Nasrollah
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4957715/
https://www.ncbi.nlm.nih.gov/pubmed/27478607
http://dx.doi.org/10.1093/ckj/sfw031
_version_ 1782444209582637056
author Tandon, Ankita
Wang, Ming
Roe, Kevin C.
Patel, Surju
Ghahramani, Nasrollah
author_facet Tandon, Ankita
Wang, Ming
Roe, Kevin C.
Patel, Surju
Ghahramani, Nasrollah
author_sort Tandon, Ankita
collection PubMed
description BACKGROUND: There is wide variation in referral for kidney transplant and preemptive kidney transplant (PKT). Patient characteristics such as age, race, sex and geographic location have been cited as contributing factors to this disparity. We hypothesize that the characteristics of nephrologists interplay with the patients' characteristics to influence the referral decision. In this study, we used hypothetical case scenarios to assess nephrologists' decisions regarding transplant referral. METHODS: A total of 3180 nephrologists were invited to participate. Among those interested, 252 were randomly selected to receive a survey in which nephrologists were asked whether they would recommend transplant for the 25 hypothetical patients. Logistic regression models with single covariates and multiple covariates were used to identify patient characteristics associated with likelihood of being referred for transplant and to identify nephrologists' characteristics associated with likelihood of referring for transplant. RESULTS: Of the 252 potential participants, 216 completed the survey. A nephrologist's affiliation with an academic institution was associated with a higher likelihood of referral, and being ‘>10 years from fellowship’ was associated with lower likelihood of referring patients for transplant. Patient age <50 years was associated with higher likelihood of referral. Rural location and smoking history/chronic obstructive pulmonary disease were associated with lower likelihood of being referred for transplant. The nephrologist's affiliation with an academic institution was associated with higher likelihood of referring for preemptive transplant, and the patient having a rural residence was associated with lower likelihood of being referred for preemptive transplant. CONCLUSIONS: The variability in transplant referral is related to patients' age and geographic location as well as the nephrologists' affiliation with an academic institution and time since completion of training. Future educational interventions should emphasize the benefits of kidney transplant and PKT for all population groups regardless of geographic location and age and should target nephrologists in non-academic settings who are 10 or more years from their fellowship training.
format Online
Article
Text
id pubmed-4957715
institution National Center for Biotechnology Information
language English
publishDate 2016
publisher Oxford University Press
record_format MEDLINE/PubMed
spelling pubmed-49577152016-07-29 Nephrologists' likelihood of referring patients for kidney transplant based on hypothetical patient scenarios Tandon, Ankita Wang, Ming Roe, Kevin C. Patel, Surju Ghahramani, Nasrollah Clin Kidney J End-Stage Renal Disease BACKGROUND: There is wide variation in referral for kidney transplant and preemptive kidney transplant (PKT). Patient characteristics such as age, race, sex and geographic location have been cited as contributing factors to this disparity. We hypothesize that the characteristics of nephrologists interplay with the patients' characteristics to influence the referral decision. In this study, we used hypothetical case scenarios to assess nephrologists' decisions regarding transplant referral. METHODS: A total of 3180 nephrologists were invited to participate. Among those interested, 252 were randomly selected to receive a survey in which nephrologists were asked whether they would recommend transplant for the 25 hypothetical patients. Logistic regression models with single covariates and multiple covariates were used to identify patient characteristics associated with likelihood of being referred for transplant and to identify nephrologists' characteristics associated with likelihood of referring for transplant. RESULTS: Of the 252 potential participants, 216 completed the survey. A nephrologist's affiliation with an academic institution was associated with a higher likelihood of referral, and being ‘>10 years from fellowship’ was associated with lower likelihood of referring patients for transplant. Patient age <50 years was associated with higher likelihood of referral. Rural location and smoking history/chronic obstructive pulmonary disease were associated with lower likelihood of being referred for transplant. The nephrologist's affiliation with an academic institution was associated with higher likelihood of referring for preemptive transplant, and the patient having a rural residence was associated with lower likelihood of being referred for preemptive transplant. CONCLUSIONS: The variability in transplant referral is related to patients' age and geographic location as well as the nephrologists' affiliation with an academic institution and time since completion of training. Future educational interventions should emphasize the benefits of kidney transplant and PKT for all population groups regardless of geographic location and age and should target nephrologists in non-academic settings who are 10 or more years from their fellowship training. Oxford University Press 2016-08 2016-05-17 /pmc/articles/PMC4957715/ /pubmed/27478607 http://dx.doi.org/10.1093/ckj/sfw031 Text en © The Author 2016. Published by Oxford University Press on behalf of ERA-EDTA. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle End-Stage Renal Disease
Tandon, Ankita
Wang, Ming
Roe, Kevin C.
Patel, Surju
Ghahramani, Nasrollah
Nephrologists' likelihood of referring patients for kidney transplant based on hypothetical patient scenarios
title Nephrologists' likelihood of referring patients for kidney transplant based on hypothetical patient scenarios
title_full Nephrologists' likelihood of referring patients for kidney transplant based on hypothetical patient scenarios
title_fullStr Nephrologists' likelihood of referring patients for kidney transplant based on hypothetical patient scenarios
title_full_unstemmed Nephrologists' likelihood of referring patients for kidney transplant based on hypothetical patient scenarios
title_short Nephrologists' likelihood of referring patients for kidney transplant based on hypothetical patient scenarios
title_sort nephrologists' likelihood of referring patients for kidney transplant based on hypothetical patient scenarios
topic End-Stage Renal Disease
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4957715/
https://www.ncbi.nlm.nih.gov/pubmed/27478607
http://dx.doi.org/10.1093/ckj/sfw031
work_keys_str_mv AT tandonankita nephrologistslikelihoodofreferringpatientsforkidneytransplantbasedonhypotheticalpatientscenarios
AT wangming nephrologistslikelihoodofreferringpatientsforkidneytransplantbasedonhypotheticalpatientscenarios
AT roekevinc nephrologistslikelihoodofreferringpatientsforkidneytransplantbasedonhypotheticalpatientscenarios
AT patelsurju nephrologistslikelihoodofreferringpatientsforkidneytransplantbasedonhypotheticalpatientscenarios
AT ghahramaninasrollah nephrologistslikelihoodofreferringpatientsforkidneytransplantbasedonhypotheticalpatientscenarios