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Predicting Kidney Transplant Evaluation Non-attendance
Non-attendance to kidney transplant evaluation (KTE) appointments is a barrier to optimal care for those with kidney failure. We examined the medical and socio-cultural factors that predict KTE non-attendance to identify opportunities for integrated medical teams to intervene. Patients scheduled for...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10035980/ https://www.ncbi.nlm.nih.gov/pubmed/36959431 http://dx.doi.org/10.1007/s10880-023-09953-5 |
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author | Ford, C. Graham Leyva, Yuridia Kruger, Eric S. Zhu, Yiliang Croswell, Emilee Kendall, Kellee Puttarajapa, Chethan Dew, Mary Amanda Ng, Yue Harn Unruh, Mark L. Myaskovsky, Larissa |
author_facet | Ford, C. Graham Leyva, Yuridia Kruger, Eric S. Zhu, Yiliang Croswell, Emilee Kendall, Kellee Puttarajapa, Chethan Dew, Mary Amanda Ng, Yue Harn Unruh, Mark L. Myaskovsky, Larissa |
author_sort | Ford, C. Graham |
collection | PubMed |
description | Non-attendance to kidney transplant evaluation (KTE) appointments is a barrier to optimal care for those with kidney failure. We examined the medical and socio-cultural factors that predict KTE non-attendance to identify opportunities for integrated medical teams to intervene. Patients scheduled for KTE between May, 2015 and June, 2018 completed an interview before their initial KTE appointment. The interview assessed various social determinants of health, including demographic (e.g., income), medical (e.g. co-morbidities), transplant knowledge, cultural (e.g., medical mistrust), and psychosocial (e.g., social support) factors. We used multiple logistic regression analysis to determine the strongest predictor of KTE non-attendance. Our sample (N = 1119) was 37% female, 76% non-Hispanic White, median age 59.4 years (IQR 49.2–67.5). Of note, 142 (13%) never attended an initial KTE clinic appointment. Being on dialysis predicted higher odds of KTE non-attendance (OR 1.76; p = .02; 64% of KTE attendees on dialysis vs. 77% of non-attendees on dialysis). Transplant and nephrology teams should consider working collaboratively with dialysis units to better coordinate care, (e.g., resources to attend appointment or outreach to emphasize the importance of transplant) adjusting the KTE referral and evaluation process to address access issues (e.g., using tele-health) and encouraging partnership with clinical psychologists to promote quality of life for those on dialysis. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s10880-023-09953-5. |
format | Online Article Text |
id | pubmed-10035980 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Springer US |
record_format | MEDLINE/PubMed |
spelling | pubmed-100359802023-03-24 Predicting Kidney Transplant Evaluation Non-attendance Ford, C. Graham Leyva, Yuridia Kruger, Eric S. Zhu, Yiliang Croswell, Emilee Kendall, Kellee Puttarajapa, Chethan Dew, Mary Amanda Ng, Yue Harn Unruh, Mark L. Myaskovsky, Larissa J Clin Psychol Med Settings Article Non-attendance to kidney transplant evaluation (KTE) appointments is a barrier to optimal care for those with kidney failure. We examined the medical and socio-cultural factors that predict KTE non-attendance to identify opportunities for integrated medical teams to intervene. Patients scheduled for KTE between May, 2015 and June, 2018 completed an interview before their initial KTE appointment. The interview assessed various social determinants of health, including demographic (e.g., income), medical (e.g. co-morbidities), transplant knowledge, cultural (e.g., medical mistrust), and psychosocial (e.g., social support) factors. We used multiple logistic regression analysis to determine the strongest predictor of KTE non-attendance. Our sample (N = 1119) was 37% female, 76% non-Hispanic White, median age 59.4 years (IQR 49.2–67.5). Of note, 142 (13%) never attended an initial KTE clinic appointment. Being on dialysis predicted higher odds of KTE non-attendance (OR 1.76; p = .02; 64% of KTE attendees on dialysis vs. 77% of non-attendees on dialysis). Transplant and nephrology teams should consider working collaboratively with dialysis units to better coordinate care, (e.g., resources to attend appointment or outreach to emphasize the importance of transplant) adjusting the KTE referral and evaluation process to address access issues (e.g., using tele-health) and encouraging partnership with clinical psychologists to promote quality of life for those on dialysis. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s10880-023-09953-5. Springer US 2023-03-23 /pmc/articles/PMC10035980/ /pubmed/36959431 http://dx.doi.org/10.1007/s10880-023-09953-5 Text en © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2023, Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Article Ford, C. Graham Leyva, Yuridia Kruger, Eric S. Zhu, Yiliang Croswell, Emilee Kendall, Kellee Puttarajapa, Chethan Dew, Mary Amanda Ng, Yue Harn Unruh, Mark L. Myaskovsky, Larissa Predicting Kidney Transplant Evaluation Non-attendance |
title | Predicting Kidney Transplant Evaluation Non-attendance |
title_full | Predicting Kidney Transplant Evaluation Non-attendance |
title_fullStr | Predicting Kidney Transplant Evaluation Non-attendance |
title_full_unstemmed | Predicting Kidney Transplant Evaluation Non-attendance |
title_short | Predicting Kidney Transplant Evaluation Non-attendance |
title_sort | predicting kidney transplant evaluation non-attendance |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10035980/ https://www.ncbi.nlm.nih.gov/pubmed/36959431 http://dx.doi.org/10.1007/s10880-023-09953-5 |
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