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Investigation the determinants of pharmaceutical expenditure share of GDP in Iran and selected OECD countries

AIM: This study estimated the GDP share of pharmaceuticals in Iran based on the drivers of pharmaceutical expenditure and compared it with that of 31 members of the Organisation for Economic Cooperation and Development (OECD). SUBJECT AND METHODS: The factors contributing to pharmaceutical expenditu...

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Autores principales: Kadkhodamanesh, Azin, Varahrami, Vida, Zarei, Leila, Peiravian, Farzad, Hadidi, Mohammad, Yousefi, Nazila
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8513196/
https://www.ncbi.nlm.nih.gov/pubmed/34641978
http://dx.doi.org/10.1186/s40545-021-00371-2
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author Kadkhodamanesh, Azin
Varahrami, Vida
Zarei, Leila
Peiravian, Farzad
Hadidi, Mohammad
Yousefi, Nazila
author_facet Kadkhodamanesh, Azin
Varahrami, Vida
Zarei, Leila
Peiravian, Farzad
Hadidi, Mohammad
Yousefi, Nazila
author_sort Kadkhodamanesh, Azin
collection PubMed
description AIM: This study estimated the GDP share of pharmaceuticals in Iran based on the drivers of pharmaceutical expenditure and compared it with that of 31 members of the Organisation for Economic Cooperation and Development (OECD). SUBJECT AND METHODS: The factors contributing to pharmaceutical expenditure were identified through literature review and studied by 8 experts to classify the factors. Then, using the panel data method, a model was built to estimate the GDP share of pharmaceutical expenditure based on the extracted factors of the selected countries in Iran’s model. To explain the observed differences, several regression analyses were performed based on cross-sectional data. The analyses were performed using EVIEWS software, version 10. RESULTS: The explanatory variables for the selected countries in the panel model (R(2) = 0.98) were specified. Government health expenditure (β = 0.1432), the share of generic drugs (β = − 0.0143), gross domestic product (GDP) per capita (β = − 0.0058) and the rate of disability-adjusted life-years (DALY) (β = 0.0028) contributed most to pharmaceutical expenditure. In comparison, in the Iranian estimation model (R(2) = 0.84), government health expenditure (β = 0.0536) and the share of generic drugs (β = 0.0369) had a significant impact on pharmaceutical expenditure. In the estimation model with more estimators for Iran (R(2) = 0.99), government health expenditure (β = 0.1694), disease prevalence (β = 0.0537), the share of generic drugs (β = 0.0102), the DALY rate (β = 0.0039), GDP per capita (β = − 0.0033), and the drug price index (β = 0.0007) contribute most to pharmaceutical expenditure. CONCLUSION: In the models of the study, factors related to the structure of the healthcare system and the pharmaceutical system contributed most to pharmaceutical expenditure as a share of GDP. Moreover, disease profiles show its predictive role in the second model for Iran.
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spelling pubmed-85131962021-10-20 Investigation the determinants of pharmaceutical expenditure share of GDP in Iran and selected OECD countries Kadkhodamanesh, Azin Varahrami, Vida Zarei, Leila Peiravian, Farzad Hadidi, Mohammad Yousefi, Nazila J Pharm Policy Pract Research AIM: This study estimated the GDP share of pharmaceuticals in Iran based on the drivers of pharmaceutical expenditure and compared it with that of 31 members of the Organisation for Economic Cooperation and Development (OECD). SUBJECT AND METHODS: The factors contributing to pharmaceutical expenditure were identified through literature review and studied by 8 experts to classify the factors. Then, using the panel data method, a model was built to estimate the GDP share of pharmaceutical expenditure based on the extracted factors of the selected countries in Iran’s model. To explain the observed differences, several regression analyses were performed based on cross-sectional data. The analyses were performed using EVIEWS software, version 10. RESULTS: The explanatory variables for the selected countries in the panel model (R(2) = 0.98) were specified. Government health expenditure (β = 0.1432), the share of generic drugs (β = − 0.0143), gross domestic product (GDP) per capita (β = − 0.0058) and the rate of disability-adjusted life-years (DALY) (β = 0.0028) contributed most to pharmaceutical expenditure. In comparison, in the Iranian estimation model (R(2) = 0.84), government health expenditure (β = 0.0536) and the share of generic drugs (β = 0.0369) had a significant impact on pharmaceutical expenditure. In the estimation model with more estimators for Iran (R(2) = 0.99), government health expenditure (β = 0.1694), disease prevalence (β = 0.0537), the share of generic drugs (β = 0.0102), the DALY rate (β = 0.0039), GDP per capita (β = − 0.0033), and the drug price index (β = 0.0007) contribute most to pharmaceutical expenditure. CONCLUSION: In the models of the study, factors related to the structure of the healthcare system and the pharmaceutical system contributed most to pharmaceutical expenditure as a share of GDP. Moreover, disease profiles show its predictive role in the second model for Iran. BioMed Central 2021-10-12 /pmc/articles/PMC8513196/ /pubmed/34641978 http://dx.doi.org/10.1186/s40545-021-00371-2 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/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/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://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
Kadkhodamanesh, Azin
Varahrami, Vida
Zarei, Leila
Peiravian, Farzad
Hadidi, Mohammad
Yousefi, Nazila
Investigation the determinants of pharmaceutical expenditure share of GDP in Iran and selected OECD countries
title Investigation the determinants of pharmaceutical expenditure share of GDP in Iran and selected OECD countries
title_full Investigation the determinants of pharmaceutical expenditure share of GDP in Iran and selected OECD countries
title_fullStr Investigation the determinants of pharmaceutical expenditure share of GDP in Iran and selected OECD countries
title_full_unstemmed Investigation the determinants of pharmaceutical expenditure share of GDP in Iran and selected OECD countries
title_short Investigation the determinants of pharmaceutical expenditure share of GDP in Iran and selected OECD countries
title_sort investigation the determinants of pharmaceutical expenditure share of gdp in iran and selected oecd countries
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8513196/
https://www.ncbi.nlm.nih.gov/pubmed/34641978
http://dx.doi.org/10.1186/s40545-021-00371-2
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