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Sales of anti-cancer medicines; China, Indonesia, Kazakhstan, Malaysia, Philippines and Thailand

OBJECTIVE: To assess sales of anti-cancer medicines in the 2017 World Health Organization’s WHO Model list of essential medicines in China, Indonesia, Kazakhstan, Malaysia, Philippines and Thailand from 2007 (2008 for Kazakhstan and Malaysia) to 2017. METHODS: We extracted sales volume data for 39 a...

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Autores principales: Ferrario, Alessandra, Stephens, Peter, Guan, Xiaodong, Ross-Degnan, Dennis, Wagner, Anita
Formato: Online Artículo Texto
Lenguaje:English
Publicado: World Health Organization 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7375213/
https://www.ncbi.nlm.nih.gov/pubmed/32742032
http://dx.doi.org/10.2471/BLT.19.243998
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author Ferrario, Alessandra
Stephens, Peter
Guan, Xiaodong
Ross-Degnan, Dennis
Wagner, Anita
author_facet Ferrario, Alessandra
Stephens, Peter
Guan, Xiaodong
Ross-Degnan, Dennis
Wagner, Anita
author_sort Ferrario, Alessandra
collection PubMed
description OBJECTIVE: To assess sales of anti-cancer medicines in the 2017 World Health Organization’s WHO Model list of essential medicines in China, Indonesia, Kazakhstan, Malaysia, Philippines and Thailand from 2007 (2008 for Kazakhstan and Malaysia) to 2017. METHODS: We extracted sales volume data for 39 anti-cancer medicines from the IQVIA database. We divided the total quantity sold by the reference defined daily dose to estimate the total number of defined daily doses sold, per country per year, for three types of anti-cancer therapies (traditional chemotherapy, targeted therapy and endocrine therapy). We adjusted these data by the number of new cancer cases in each country for each year. FINDINGS: We observed an increase in sales across all types of anti-cancer therapies in all countries. The largest number of defined daily doses of traditional chemotherapy per new cancer case was sold in Thailand; however, the largest relative increase per new cancer case occurred in Indonesia (9.48-fold). The largest absolute and relative increases in sales of defined daily doses of targeted therapies per new cancer case occurred in Kazakhstan. Malaysia sold the largest number of adjusted defined daily doses of endocrine therapies in 2017, while China and Indonesia more than doubled their adjusted sales volumes between 2007 and 2017. CONCLUSION: The use of sales data can fill an important knowledge gap in the use of anti-cancer medicines, particularly during periods of insurance coverage expansion. Combined with other data, sales volume data can help to monitor efforts to improve equitable access to essential medicines.
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spelling pubmed-73752132020-07-31 Sales of anti-cancer medicines; China, Indonesia, Kazakhstan, Malaysia, Philippines and Thailand Ferrario, Alessandra Stephens, Peter Guan, Xiaodong Ross-Degnan, Dennis Wagner, Anita Bull World Health Organ Research OBJECTIVE: To assess sales of anti-cancer medicines in the 2017 World Health Organization’s WHO Model list of essential medicines in China, Indonesia, Kazakhstan, Malaysia, Philippines and Thailand from 2007 (2008 for Kazakhstan and Malaysia) to 2017. METHODS: We extracted sales volume data for 39 anti-cancer medicines from the IQVIA database. We divided the total quantity sold by the reference defined daily dose to estimate the total number of defined daily doses sold, per country per year, for three types of anti-cancer therapies (traditional chemotherapy, targeted therapy and endocrine therapy). We adjusted these data by the number of new cancer cases in each country for each year. FINDINGS: We observed an increase in sales across all types of anti-cancer therapies in all countries. The largest number of defined daily doses of traditional chemotherapy per new cancer case was sold in Thailand; however, the largest relative increase per new cancer case occurred in Indonesia (9.48-fold). The largest absolute and relative increases in sales of defined daily doses of targeted therapies per new cancer case occurred in Kazakhstan. Malaysia sold the largest number of adjusted defined daily doses of endocrine therapies in 2017, while China and Indonesia more than doubled their adjusted sales volumes between 2007 and 2017. CONCLUSION: The use of sales data can fill an important knowledge gap in the use of anti-cancer medicines, particularly during periods of insurance coverage expansion. Combined with other data, sales volume data can help to monitor efforts to improve equitable access to essential medicines. World Health Organization 2020-07-01 2020-05-28 /pmc/articles/PMC7375213/ /pubmed/32742032 http://dx.doi.org/10.2471/BLT.19.243998 Text en (c) 2020 The authors; licensee World Health Organization. This is an open access article distributed under the terms of the Creative Commons Attribution IGO License (http://creativecommons.org/licenses/by/3.0/igo/legalcode), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. In any reproduction of this article there should not be any suggestion that WHO or this article endorse any specific organization or products. The use of the WHO logo is not permitted. This notice should be preserved along with the article's original URL.
spellingShingle Research
Ferrario, Alessandra
Stephens, Peter
Guan, Xiaodong
Ross-Degnan, Dennis
Wagner, Anita
Sales of anti-cancer medicines; China, Indonesia, Kazakhstan, Malaysia, Philippines and Thailand
title Sales of anti-cancer medicines; China, Indonesia, Kazakhstan, Malaysia, Philippines and Thailand
title_full Sales of anti-cancer medicines; China, Indonesia, Kazakhstan, Malaysia, Philippines and Thailand
title_fullStr Sales of anti-cancer medicines; China, Indonesia, Kazakhstan, Malaysia, Philippines and Thailand
title_full_unstemmed Sales of anti-cancer medicines; China, Indonesia, Kazakhstan, Malaysia, Philippines and Thailand
title_short Sales of anti-cancer medicines; China, Indonesia, Kazakhstan, Malaysia, Philippines and Thailand
title_sort sales of anti-cancer medicines; china, indonesia, kazakhstan, malaysia, philippines and thailand
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7375213/
https://www.ncbi.nlm.nih.gov/pubmed/32742032
http://dx.doi.org/10.2471/BLT.19.243998
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