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Data Challenges in Addressing Chronic Kidney Disease in Low- and Lower-Middle-Income Countries

The burden of chronic kidney disease (CKD) is growing globally, particularly in low- and lower-middle-income countries (LLMICs) where access to treatment is poor and the largest increases in disease burden will occur. The individual and societal costs of kidney disease are well recognized, especiall...

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Autores principales: Talbot, Benjamin, Athavale, Akshay, Jha, Vivekanand, Gallagher, Martin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8207309/
https://www.ncbi.nlm.nih.gov/pubmed/34169191
http://dx.doi.org/10.1016/j.ekir.2021.03.901
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author Talbot, Benjamin
Athavale, Akshay
Jha, Vivekanand
Gallagher, Martin
author_facet Talbot, Benjamin
Athavale, Akshay
Jha, Vivekanand
Gallagher, Martin
author_sort Talbot, Benjamin
collection PubMed
description The burden of chronic kidney disease (CKD) is growing globally, particularly in low- and lower-middle-income countries (LLMICs) where access to treatment is poor and the largest increases in disease burden will occur. The individual and societal costs of kidney disease are well recognized, especially in developed health care systems where treatments for the advanced stages of CKD are more readily available. The consequences of CKD are potentially more catastrophic in developing health care systems where such resources are often lacking. Central to addressing this challenge is the availability of data to understand disease burden and ensure that investments in treatments and health resources are effective at a local level. Use of routinely collected administrative data is helpful in this regard, however, the barriers to developing a more systematic focus on data collection should not be underestimated. This article reviews the current tools that have been used to measure the burden of CKD and considers limitations regarding their use in LLMICs. A review of the literature investigating the use of registries, disease specific databases and administrative data to identify populations with CKD in LLMICs, which indicate these to be underused resources, is included. Suggestions regarding the potential use of administrative data for measuring CKD burden in LLMICs are explored.
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spelling pubmed-82073092021-06-23 Data Challenges in Addressing Chronic Kidney Disease in Low- and Lower-Middle-Income Countries Talbot, Benjamin Athavale, Akshay Jha, Vivekanand Gallagher, Martin Kidney Int Rep Review The burden of chronic kidney disease (CKD) is growing globally, particularly in low- and lower-middle-income countries (LLMICs) where access to treatment is poor and the largest increases in disease burden will occur. The individual and societal costs of kidney disease are well recognized, especially in developed health care systems where treatments for the advanced stages of CKD are more readily available. The consequences of CKD are potentially more catastrophic in developing health care systems where such resources are often lacking. Central to addressing this challenge is the availability of data to understand disease burden and ensure that investments in treatments and health resources are effective at a local level. Use of routinely collected administrative data is helpful in this regard, however, the barriers to developing a more systematic focus on data collection should not be underestimated. This article reviews the current tools that have been used to measure the burden of CKD and considers limitations regarding their use in LLMICs. A review of the literature investigating the use of registries, disease specific databases and administrative data to identify populations with CKD in LLMICs, which indicate these to be underused resources, is included. Suggestions regarding the potential use of administrative data for measuring CKD burden in LLMICs are explored. Elsevier 2021-04-17 /pmc/articles/PMC8207309/ /pubmed/34169191 http://dx.doi.org/10.1016/j.ekir.2021.03.901 Text en © 2021 International Society of Nephrology. Published by Elsevier Inc. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Review
Talbot, Benjamin
Athavale, Akshay
Jha, Vivekanand
Gallagher, Martin
Data Challenges in Addressing Chronic Kidney Disease in Low- and Lower-Middle-Income Countries
title Data Challenges in Addressing Chronic Kidney Disease in Low- and Lower-Middle-Income Countries
title_full Data Challenges in Addressing Chronic Kidney Disease in Low- and Lower-Middle-Income Countries
title_fullStr Data Challenges in Addressing Chronic Kidney Disease in Low- and Lower-Middle-Income Countries
title_full_unstemmed Data Challenges in Addressing Chronic Kidney Disease in Low- and Lower-Middle-Income Countries
title_short Data Challenges in Addressing Chronic Kidney Disease in Low- and Lower-Middle-Income Countries
title_sort data challenges in addressing chronic kidney disease in low- and lower-middle-income countries
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8207309/
https://www.ncbi.nlm.nih.gov/pubmed/34169191
http://dx.doi.org/10.1016/j.ekir.2021.03.901
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