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Linking market authorizations of medicines with disease burden in South Africa

BACKGROUND: Sub-Saharan Africa is going through an epidemiological transition, including an impressive increase in non-communicable diseases. The introduction of medicines has not kept pace with the needs in developing countries. The objectives of this study were to (i) examine the correlation betwe...

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Autores principales: Narsai, K., Leufkens, H. G. M., Mantel-Teeuwisse, A. K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8017838/
https://www.ncbi.nlm.nih.gov/pubmed/33795015
http://dx.doi.org/10.1186/s40545-021-00314-x
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author Narsai, K.
Leufkens, H. G. M.
Mantel-Teeuwisse, A. K.
author_facet Narsai, K.
Leufkens, H. G. M.
Mantel-Teeuwisse, A. K.
author_sort Narsai, K.
collection PubMed
description BACKGROUND: Sub-Saharan Africa is going through an epidemiological transition, including an impressive increase in non-communicable diseases. The introduction of medicines has not kept pace with the needs in developing countries. The objectives of this study were to (i) examine the correlation between the number of medicine approvals and disease burden and (ii) compare approval timelines of medicines with disease burden in South Africa in the period 2012–2017. METHODS: The dataset was compiled from publicly available data on medicines registered in South Africa between 2012 and 2017. A correlation analysis was conducted to determine the level of alignment between the number and nature of medicines registered, as determined by the WHO ATC Classification and the Lancet Global Burden of Disease data. Median registration timelines were determined to assess whether medicines for diseases of higher burden were registered faster. RESULTS: A total of 3059 registered medicines were included in the study, including 2779 generic medicines, 267 new chemical entities and 13 vaccines. There was a high level of alignment between the number of medicines registered to treat diseases with higher disease burden levels more effectively, except for lower respiratory tract infections and HIV/AIDS which showed less medicines registered as compared to expectations based on disease burden, respectively. HIV/AIDS showed a lower level of correlation with a much higher disease burden compared to number of medicines registered, but simultaneously also a much shorter median registration timeline (32 months) compared to the other disease areas. CONCLUSIONS: There was generally a high level of alignment between disease burden and number of medicines authorised, except for HIV/AIDS and lower respiratory tract infections. Regulatory authorities should continue to consider burden of disease data to ensure that public health needs are met.
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spelling pubmed-80178382021-04-05 Linking market authorizations of medicines with disease burden in South Africa Narsai, K. Leufkens, H. G. M. Mantel-Teeuwisse, A. K. J Pharm Policy Pract Research BACKGROUND: Sub-Saharan Africa is going through an epidemiological transition, including an impressive increase in non-communicable diseases. The introduction of medicines has not kept pace with the needs in developing countries. The objectives of this study were to (i) examine the correlation between the number of medicine approvals and disease burden and (ii) compare approval timelines of medicines with disease burden in South Africa in the period 2012–2017. METHODS: The dataset was compiled from publicly available data on medicines registered in South Africa between 2012 and 2017. A correlation analysis was conducted to determine the level of alignment between the number and nature of medicines registered, as determined by the WHO ATC Classification and the Lancet Global Burden of Disease data. Median registration timelines were determined to assess whether medicines for diseases of higher burden were registered faster. RESULTS: A total of 3059 registered medicines were included in the study, including 2779 generic medicines, 267 new chemical entities and 13 vaccines. There was a high level of alignment between the number of medicines registered to treat diseases with higher disease burden levels more effectively, except for lower respiratory tract infections and HIV/AIDS which showed less medicines registered as compared to expectations based on disease burden, respectively. HIV/AIDS showed a lower level of correlation with a much higher disease burden compared to number of medicines registered, but simultaneously also a much shorter median registration timeline (32 months) compared to the other disease areas. CONCLUSIONS: There was generally a high level of alignment between disease burden and number of medicines authorised, except for HIV/AIDS and lower respiratory tract infections. Regulatory authorities should continue to consider burden of disease data to ensure that public health needs are met. BioMed Central 2021-04-01 /pmc/articles/PMC8017838/ /pubmed/33795015 http://dx.doi.org/10.1186/s40545-021-00314-x Text en © The Author(s) 2021 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 Research
Narsai, K.
Leufkens, H. G. M.
Mantel-Teeuwisse, A. K.
Linking market authorizations of medicines with disease burden in South Africa
title Linking market authorizations of medicines with disease burden in South Africa
title_full Linking market authorizations of medicines with disease burden in South Africa
title_fullStr Linking market authorizations of medicines with disease burden in South Africa
title_full_unstemmed Linking market authorizations of medicines with disease burden in South Africa
title_short Linking market authorizations of medicines with disease burden in South Africa
title_sort linking market authorizations of medicines with disease burden in south africa
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8017838/
https://www.ncbi.nlm.nih.gov/pubmed/33795015
http://dx.doi.org/10.1186/s40545-021-00314-x
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