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Cost-utility analysis in chronic kidney disease patients undergoing kidney transplant; what pays? A systematic review

BACKGROUND: Health systems are under pressure to deliver more effective care without expansion of resources. This is particularly pertinent to diseases like chronic kidney disease (CKD) that are exacting substantial financial burden to many health systems. The aim of this study is to systematically...

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Autores principales: Senanayake, Sameera, Graves, Nicholas, Healy, Helen, Baboolal, Keshwar, Kularatna, Sanjeewa
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7236510/
https://www.ncbi.nlm.nih.gov/pubmed/32477010
http://dx.doi.org/10.1186/s12962-020-00213-z
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author Senanayake, Sameera
Graves, Nicholas
Healy, Helen
Baboolal, Keshwar
Kularatna, Sanjeewa
author_facet Senanayake, Sameera
Graves, Nicholas
Healy, Helen
Baboolal, Keshwar
Kularatna, Sanjeewa
author_sort Senanayake, Sameera
collection PubMed
description BACKGROUND: Health systems are under pressure to deliver more effective care without expansion of resources. This is particularly pertinent to diseases like chronic kidney disease (CKD) that are exacting substantial financial burden to many health systems. The aim of this study is to systematically review the Cost Utility Analysis (CUA) evidence generated across interventions for CKD patients undergoing kidney transplant (KT). METHODS: A systemic review of CUA on the interventions for CKD patients undergoing KT was carried out using a search of the MEDLINE, CINAHL, EMBASE, PsycINFO and NHS-EED. The CHEERS checklist was used as a set of good practice criteria in determining the reporting quality of the economic evaluation. Quality of the data used to inform model parameters was determined using the modified hierarchies of data sources. RESULTS: A total of 330 articles identified, 16 met the inclusion criteria. Almost all (n = 15) the studies were from high income countries. Out of the 24 characteristics assessed in the CHEERS checklist, more than 80% of the selected studies reported 14 of the characteristics. Reporting of the CUA were characterized by lack of transparency of model assumptions, narrow economic perspective and incomplete assessment of the effect of uncertainty in the model parameters on the results. The data used for the economic model were satisfactory quality. The authors of 13 studies reported the intervention as cost saving and improving quality of life, whereas three studies were cost increasing and improving quality of life. In addition to the baseline analysis, sensitivity analysis was performed in all the evaluations except one. Transplanting certain high-risk donor kidneys (high risk of HIV and Hepatitis-C infected kidneys, HLA mismatched kidneys, high Kidney Donor Profile Index) and a payment to living donors, were found to be cost-effective. CONCLUSIONS: The quality of economic evaluations reviewed in this paper were assessed to be satisfactory. Implementation of these strategies will significantly impact current systems of KT and require a systematic implementation plan and coordinated efforts from relevant stakeholders.
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spelling pubmed-72365102020-05-29 Cost-utility analysis in chronic kidney disease patients undergoing kidney transplant; what pays? A systematic review Senanayake, Sameera Graves, Nicholas Healy, Helen Baboolal, Keshwar Kularatna, Sanjeewa Cost Eff Resour Alloc Review BACKGROUND: Health systems are under pressure to deliver more effective care without expansion of resources. This is particularly pertinent to diseases like chronic kidney disease (CKD) that are exacting substantial financial burden to many health systems. The aim of this study is to systematically review the Cost Utility Analysis (CUA) evidence generated across interventions for CKD patients undergoing kidney transplant (KT). METHODS: A systemic review of CUA on the interventions for CKD patients undergoing KT was carried out using a search of the MEDLINE, CINAHL, EMBASE, PsycINFO and NHS-EED. The CHEERS checklist was used as a set of good practice criteria in determining the reporting quality of the economic evaluation. Quality of the data used to inform model parameters was determined using the modified hierarchies of data sources. RESULTS: A total of 330 articles identified, 16 met the inclusion criteria. Almost all (n = 15) the studies were from high income countries. Out of the 24 characteristics assessed in the CHEERS checklist, more than 80% of the selected studies reported 14 of the characteristics. Reporting of the CUA were characterized by lack of transparency of model assumptions, narrow economic perspective and incomplete assessment of the effect of uncertainty in the model parameters on the results. The data used for the economic model were satisfactory quality. The authors of 13 studies reported the intervention as cost saving and improving quality of life, whereas three studies were cost increasing and improving quality of life. In addition to the baseline analysis, sensitivity analysis was performed in all the evaluations except one. Transplanting certain high-risk donor kidneys (high risk of HIV and Hepatitis-C infected kidneys, HLA mismatched kidneys, high Kidney Donor Profile Index) and a payment to living donors, were found to be cost-effective. CONCLUSIONS: The quality of economic evaluations reviewed in this paper were assessed to be satisfactory. Implementation of these strategies will significantly impact current systems of KT and require a systematic implementation plan and coordinated efforts from relevant stakeholders. BioMed Central 2020-05-19 /pmc/articles/PMC7236510/ /pubmed/32477010 http://dx.doi.org/10.1186/s12962-020-00213-z Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Review
Senanayake, Sameera
Graves, Nicholas
Healy, Helen
Baboolal, Keshwar
Kularatna, Sanjeewa
Cost-utility analysis in chronic kidney disease patients undergoing kidney transplant; what pays? A systematic review
title Cost-utility analysis in chronic kidney disease patients undergoing kidney transplant; what pays? A systematic review
title_full Cost-utility analysis in chronic kidney disease patients undergoing kidney transplant; what pays? A systematic review
title_fullStr Cost-utility analysis in chronic kidney disease patients undergoing kidney transplant; what pays? A systematic review
title_full_unstemmed Cost-utility analysis in chronic kidney disease patients undergoing kidney transplant; what pays? A systematic review
title_short Cost-utility analysis in chronic kidney disease patients undergoing kidney transplant; what pays? A systematic review
title_sort cost-utility analysis in chronic kidney disease patients undergoing kidney transplant; what pays? a systematic review
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7236510/
https://www.ncbi.nlm.nih.gov/pubmed/32477010
http://dx.doi.org/10.1186/s12962-020-00213-z
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