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Worldwide antipsychotic drug search intensities: pharmacoepidemological estimations based on Google Trends data

Prescription patterns of antipsychotic drugs (APDs) are typically sourced from country-specific data. In this study, a digital pharmacoepidemiological approach was used to investigate APD preferences globally. Publicly available data on worldwide web search intensities in Google for 19 typical and 2...

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Autor principal: Ågren, Richard
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8222314/
https://www.ncbi.nlm.nih.gov/pubmed/34162927
http://dx.doi.org/10.1038/s41598-021-92204-0
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author Ågren, Richard
author_facet Ågren, Richard
author_sort Ågren, Richard
collection PubMed
description Prescription patterns of antipsychotic drugs (APDs) are typically sourced from country-specific data. In this study, a digital pharmacoepidemiological approach was used to investigate APD preferences globally. Publicly available data on worldwide web search intensities in Google for 19 typical and 22 atypical APDs were temporally and spatially normalized and correlated with reported prescription data. The results demonstrated an increasing global preference for atypical over typical APDs since 2007, with quetiapine, olanzapine, risperidone, and aripiprazole showing the largest search intensities in 2020. Cross-sectional analysis of 122 countries in 2020 showed pronounced differences in atypical/typical APD preferences that correlated with gross domestic product per capita. In conclusion, the investigation provides temporal and spatial assessments of global APD preferences and shows a trend towards atypical APDs, although with a relative preference for typical APDs in low-income countries. Similar data-sourcing methodologies allow for prospective studies of other prescription drugs.
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spelling pubmed-82223142021-06-24 Worldwide antipsychotic drug search intensities: pharmacoepidemological estimations based on Google Trends data Ågren, Richard Sci Rep Article Prescription patterns of antipsychotic drugs (APDs) are typically sourced from country-specific data. In this study, a digital pharmacoepidemiological approach was used to investigate APD preferences globally. Publicly available data on worldwide web search intensities in Google for 19 typical and 22 atypical APDs were temporally and spatially normalized and correlated with reported prescription data. The results demonstrated an increasing global preference for atypical over typical APDs since 2007, with quetiapine, olanzapine, risperidone, and aripiprazole showing the largest search intensities in 2020. Cross-sectional analysis of 122 countries in 2020 showed pronounced differences in atypical/typical APD preferences that correlated with gross domestic product per capita. In conclusion, the investigation provides temporal and spatial assessments of global APD preferences and shows a trend towards atypical APDs, although with a relative preference for typical APDs in low-income countries. Similar data-sourcing methodologies allow for prospective studies of other prescription drugs. Nature Publishing Group UK 2021-06-23 /pmc/articles/PMC8222314/ /pubmed/34162927 http://dx.doi.org/10.1038/s41598-021-92204-0 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This 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/) .
spellingShingle Article
Ågren, Richard
Worldwide antipsychotic drug search intensities: pharmacoepidemological estimations based on Google Trends data
title Worldwide antipsychotic drug search intensities: pharmacoepidemological estimations based on Google Trends data
title_full Worldwide antipsychotic drug search intensities: pharmacoepidemological estimations based on Google Trends data
title_fullStr Worldwide antipsychotic drug search intensities: pharmacoepidemological estimations based on Google Trends data
title_full_unstemmed Worldwide antipsychotic drug search intensities: pharmacoepidemological estimations based on Google Trends data
title_short Worldwide antipsychotic drug search intensities: pharmacoepidemological estimations based on Google Trends data
title_sort worldwide antipsychotic drug search intensities: pharmacoepidemological estimations based on google trends data
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8222314/
https://www.ncbi.nlm.nih.gov/pubmed/34162927
http://dx.doi.org/10.1038/s41598-021-92204-0
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