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Measuring Medicine Use: Applying ATC/DDD Methodology to Real-World Data

Medicines are essential for the treatment of acute, communicable, and non-communicable diseases. The World Health Organization developed a toolkit for drug (medicine) utilization studies to assist in reviewing and evaluating the prescribing, dispensing, and use of medicines. There is a growing need...

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Detalles Bibliográficos
Autores principales: Hollingworth, Samantha, Kairuz, Therése
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8006033/
https://www.ncbi.nlm.nih.gov/pubmed/33802774
http://dx.doi.org/10.3390/pharmacy9010060
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author Hollingworth, Samantha
Kairuz, Therése
author_facet Hollingworth, Samantha
Kairuz, Therése
author_sort Hollingworth, Samantha
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description Medicines are essential for the treatment of acute, communicable, and non-communicable diseases. The World Health Organization developed a toolkit for drug (medicine) utilization studies to assist in reviewing and evaluating the prescribing, dispensing, and use of medicines. There is a growing need for rigorous studies of medicine use in low- and middle-income countries (LMIC) using standard approaches, especially in the context of universal health coverage. This commentary provides a succinct summary of how to use the WHO anatomical therapeutic chemical (ATC)/defined daily dose (DDD) methodology in pharmacoepidemiological studies, with a focus on LMIC contexts. We drew on information from WHO resources and published literature, citing examples and case studies. We encourage readers to publish their drug utilization studies, although we caution about predatory journals. We recommend the use of the RECORD-PE initiative which focuses on methods for doing pharmacoepidemiological research and evaluating the quality of published papers.
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spelling pubmed-80060332021-03-30 Measuring Medicine Use: Applying ATC/DDD Methodology to Real-World Data Hollingworth, Samantha Kairuz, Therése Pharmacy (Basel) Commentary Medicines are essential for the treatment of acute, communicable, and non-communicable diseases. The World Health Organization developed a toolkit for drug (medicine) utilization studies to assist in reviewing and evaluating the prescribing, dispensing, and use of medicines. There is a growing need for rigorous studies of medicine use in low- and middle-income countries (LMIC) using standard approaches, especially in the context of universal health coverage. This commentary provides a succinct summary of how to use the WHO anatomical therapeutic chemical (ATC)/defined daily dose (DDD) methodology in pharmacoepidemiological studies, with a focus on LMIC contexts. We drew on information from WHO resources and published literature, citing examples and case studies. We encourage readers to publish their drug utilization studies, although we caution about predatory journals. We recommend the use of the RECORD-PE initiative which focuses on methods for doing pharmacoepidemiological research and evaluating the quality of published papers. MDPI 2021-03-17 /pmc/articles/PMC8006033/ /pubmed/33802774 http://dx.doi.org/10.3390/pharmacy9010060 Text en © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Commentary
Hollingworth, Samantha
Kairuz, Therése
Measuring Medicine Use: Applying ATC/DDD Methodology to Real-World Data
title Measuring Medicine Use: Applying ATC/DDD Methodology to Real-World Data
title_full Measuring Medicine Use: Applying ATC/DDD Methodology to Real-World Data
title_fullStr Measuring Medicine Use: Applying ATC/DDD Methodology to Real-World Data
title_full_unstemmed Measuring Medicine Use: Applying ATC/DDD Methodology to Real-World Data
title_short Measuring Medicine Use: Applying ATC/DDD Methodology to Real-World Data
title_sort measuring medicine use: applying atc/ddd methodology to real-world data
topic Commentary
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8006033/
https://www.ncbi.nlm.nih.gov/pubmed/33802774
http://dx.doi.org/10.3390/pharmacy9010060
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