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The impact of the single exit price policy on a basket of generic medicines in South Africa, using a time series analysis from 1999 to 2014

BACKGROUND: Regulating pharmaceutical markets have become a key strategy by most governments in ensuring the availability and accessibility of quality medicines to its citizens. The South African government, when faced with high medicine prices, implemented the Single Exit Price (SEP) in 2004. This...

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Autores principales: Moodley, Rajatheran, Suleman, Fatima
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6668780/
https://www.ncbi.nlm.nih.gov/pubmed/31365534
http://dx.doi.org/10.1371/journal.pone.0219690
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author Moodley, Rajatheran
Suleman, Fatima
author_facet Moodley, Rajatheran
Suleman, Fatima
author_sort Moodley, Rajatheran
collection PubMed
description BACKGROUND: Regulating pharmaceutical markets have become a key strategy by most governments in ensuring the availability and accessibility of quality medicines to its citizens. The South African government, when faced with high medicine prices, implemented the Single Exit Price (SEP) in 2004. This study assessed the impact of the of the Single Exit Price (SEP) regulation introduced in South Africa in 2004 on a basket of generic. METHOD: Private sector price data of a basket of medicines (December 1999 to December 2014) was obtained from various price files (Pharmacy Software Vendors and Community Pharmacy). The price of the medicine was expressed in a single unit dose. The medicines investigated used the WHO/HAI methodology. The Interrupted Time-Series (ITS) model was used to estimate the change in slope and level of medicines investigated (50 originator and its available generics) before and after the policy change. RESULTS: Majority of the medicines analysed reflect a substantial decrease in medicine prices immediately after implementation of the pricing regulations as reflected in both the change in level and the change in slope using the interrupted time series analysis. DISCUSSION: This study indicates that the SEP regulation had an impact on medicine pricing in South Africa in both the short (immediately on the introduction) and long term (over the study period). Most medicines investigated showed a smaller yearly increase in price compared to before regulations. CONCLUSION: This study provides evidence of the impact of medicine pricing intervention from a middle–income country, and useful lessons can be drawn by other developing countries looking at introducing medicine price controls.
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spelling pubmed-66687802019-08-06 The impact of the single exit price policy on a basket of generic medicines in South Africa, using a time series analysis from 1999 to 2014 Moodley, Rajatheran Suleman, Fatima PLoS One Research Article BACKGROUND: Regulating pharmaceutical markets have become a key strategy by most governments in ensuring the availability and accessibility of quality medicines to its citizens. The South African government, when faced with high medicine prices, implemented the Single Exit Price (SEP) in 2004. This study assessed the impact of the of the Single Exit Price (SEP) regulation introduced in South Africa in 2004 on a basket of generic. METHOD: Private sector price data of a basket of medicines (December 1999 to December 2014) was obtained from various price files (Pharmacy Software Vendors and Community Pharmacy). The price of the medicine was expressed in a single unit dose. The medicines investigated used the WHO/HAI methodology. The Interrupted Time-Series (ITS) model was used to estimate the change in slope and level of medicines investigated (50 originator and its available generics) before and after the policy change. RESULTS: Majority of the medicines analysed reflect a substantial decrease in medicine prices immediately after implementation of the pricing regulations as reflected in both the change in level and the change in slope using the interrupted time series analysis. DISCUSSION: This study indicates that the SEP regulation had an impact on medicine pricing in South Africa in both the short (immediately on the introduction) and long term (over the study period). Most medicines investigated showed a smaller yearly increase in price compared to before regulations. CONCLUSION: This study provides evidence of the impact of medicine pricing intervention from a middle–income country, and useful lessons can be drawn by other developing countries looking at introducing medicine price controls. Public Library of Science 2019-07-31 /pmc/articles/PMC6668780/ /pubmed/31365534 http://dx.doi.org/10.1371/journal.pone.0219690 Text en © 2019 Moodley, Suleman http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Moodley, Rajatheran
Suleman, Fatima
The impact of the single exit price policy on a basket of generic medicines in South Africa, using a time series analysis from 1999 to 2014
title The impact of the single exit price policy on a basket of generic medicines in South Africa, using a time series analysis from 1999 to 2014
title_full The impact of the single exit price policy on a basket of generic medicines in South Africa, using a time series analysis from 1999 to 2014
title_fullStr The impact of the single exit price policy on a basket of generic medicines in South Africa, using a time series analysis from 1999 to 2014
title_full_unstemmed The impact of the single exit price policy on a basket of generic medicines in South Africa, using a time series analysis from 1999 to 2014
title_short The impact of the single exit price policy on a basket of generic medicines in South Africa, using a time series analysis from 1999 to 2014
title_sort impact of the single exit price policy on a basket of generic medicines in south africa, using a time series analysis from 1999 to 2014
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6668780/
https://www.ncbi.nlm.nih.gov/pubmed/31365534
http://dx.doi.org/10.1371/journal.pone.0219690
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