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From prescriptions to drug use periods - things to notice

BACKGROUND: Electronic prescription registers provide a vast data source for pharmacoepidemiological research. Prescriptions as such are not suitable for all research purposes; e.g., studying concurrent use of different drugs or adverse drug events during current use. For those purposes, data on dis...

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Autores principales: Tanskanen, Antti, Taipale, Heidi, Koponen, Marjaana, Tolppanen, Anna-Maija, Hartikainen, Sirpa, Ahonen, Riitta, Tiihonen, Jari
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4239374/
https://www.ncbi.nlm.nih.gov/pubmed/25398553
http://dx.doi.org/10.1186/1756-0500-7-796
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author Tanskanen, Antti
Taipale, Heidi
Koponen, Marjaana
Tolppanen, Anna-Maija
Hartikainen, Sirpa
Ahonen, Riitta
Tiihonen, Jari
author_facet Tanskanen, Antti
Taipale, Heidi
Koponen, Marjaana
Tolppanen, Anna-Maija
Hartikainen, Sirpa
Ahonen, Riitta
Tiihonen, Jari
author_sort Tanskanen, Antti
collection PubMed
description BACKGROUND: Electronic prescription registers provide a vast data source for pharmacoepidemiological research. Prescriptions as such are not suitable for all research purposes; e.g., studying concurrent use of different drugs or adverse drug events during current use. For those purposes, data on dispensed prescriptions needs to be transformed to periods of drug use. METHODS: We used 3,828,292 dispensed prescriptions claimed between 1 January 2002 and 31 December 2009 for 28,093 persons with Alzheimer’s disease. Examples of drug use histories are presented to discuss different aspects that should be noticed when using register-based data consisting of drug purchases. RESULTS: There is no simple method for correctly transforming dispensed prescriptions to periods of drug use that is usable for all drugs and drug users. Fixed assumptions of daily dose (in defined daily doses, tablets or other units) and fixed time windows should be used with caution and adjusted for different drug use patterns. CONCLUSIONS: We recommend that when transforming prescription drug purchases to drug use periods personal dose, purchasing pattern and other behavioral differences between patients should be taken into account.
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spelling pubmed-42393742014-11-21 From prescriptions to drug use periods - things to notice Tanskanen, Antti Taipale, Heidi Koponen, Marjaana Tolppanen, Anna-Maija Hartikainen, Sirpa Ahonen, Riitta Tiihonen, Jari BMC Res Notes Correspondence BACKGROUND: Electronic prescription registers provide a vast data source for pharmacoepidemiological research. Prescriptions as such are not suitable for all research purposes; e.g., studying concurrent use of different drugs or adverse drug events during current use. For those purposes, data on dispensed prescriptions needs to be transformed to periods of drug use. METHODS: We used 3,828,292 dispensed prescriptions claimed between 1 January 2002 and 31 December 2009 for 28,093 persons with Alzheimer’s disease. Examples of drug use histories are presented to discuss different aspects that should be noticed when using register-based data consisting of drug purchases. RESULTS: There is no simple method for correctly transforming dispensed prescriptions to periods of drug use that is usable for all drugs and drug users. Fixed assumptions of daily dose (in defined daily doses, tablets or other units) and fixed time windows should be used with caution and adjusted for different drug use patterns. CONCLUSIONS: We recommend that when transforming prescription drug purchases to drug use periods personal dose, purchasing pattern and other behavioral differences between patients should be taken into account. BioMed Central 2014-11-14 /pmc/articles/PMC4239374/ /pubmed/25398553 http://dx.doi.org/10.1186/1756-0500-7-796 Text en © Tanskanen et al.; licensee BioMed Central Ltd. 2014 This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Correspondence
Tanskanen, Antti
Taipale, Heidi
Koponen, Marjaana
Tolppanen, Anna-Maija
Hartikainen, Sirpa
Ahonen, Riitta
Tiihonen, Jari
From prescriptions to drug use periods - things to notice
title From prescriptions to drug use periods - things to notice
title_full From prescriptions to drug use periods - things to notice
title_fullStr From prescriptions to drug use periods - things to notice
title_full_unstemmed From prescriptions to drug use periods - things to notice
title_short From prescriptions to drug use periods - things to notice
title_sort from prescriptions to drug use periods - things to notice
topic Correspondence
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4239374/
https://www.ncbi.nlm.nih.gov/pubmed/25398553
http://dx.doi.org/10.1186/1756-0500-7-796
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