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Self-controlled designs in pharmacoepidemiology involving electronic healthcare databases: a systematic review
BACKGROUND: Observational studies are widely used in pharmacoepidemiology. Several designs can be used, in particular self-controlled designs (case-crossover and self-controlled case series). These designs offer the advantage of controlling for time-invariant confounders, which may not be collected...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5299667/ https://www.ncbi.nlm.nih.gov/pubmed/28178924 http://dx.doi.org/10.1186/s12874-016-0278-0 |
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author | Gault, Nathalie Castañeda-Sanabria, Johann De Rycke, Yann Guillo, Sylvie Foulon, Stéphanie Tubach, Florence |
author_facet | Gault, Nathalie Castañeda-Sanabria, Johann De Rycke, Yann Guillo, Sylvie Foulon, Stéphanie Tubach, Florence |
author_sort | Gault, Nathalie |
collection | PubMed |
description | BACKGROUND: Observational studies are widely used in pharmacoepidemiology. Several designs can be used, in particular self-controlled designs (case-crossover and self-controlled case series). These designs offer the advantage of controlling for time-invariant confounders, which may not be collected in electronic healthcare databases. They are particularly useful in pharmacoepidemiology involving healthcare database. To be valid, they require the presence of some characteristics (key validity assumptions), and in such situations, these designs should be preferred. We aimed at describing the appropriate use and reporting of the key validity assumptions in self-controlled design studies. METHODS: Articles published between January 2011 and December 2014, and describing a self-controlled study design involving electronic healthcare databases were retrieved. The appropriate use (fulfilment of key assumptions) was studied in terms of major (abrupt onset event, rare or recurrent event, and intermittent exposure) and minor assumptions (those for which the design can be adapted). RESULTS: Among the 107 articles describing a self-controlled design, 35/53 (66%) case-crossover studies, and 48/55 (87%) self-controlled case series fulfilled the major validity assumptions for use of the design; 4/35 and 14/48 respectively did not fulfill the minor assumptions. Overall, 31/53 (58%) case-crossover studies and 34/55 (62%) self-controlled case series fulfilled both major and minor assumptions. The reporting of the methodology or the results was appropriate, except for power calculation. CONCLUSIONS: Self-controlled designs were not appropriately used in34% and 13% of the articles we reviewed that described a case-crossover or a self-controlled case series design, respectively. We encourage better use of these designs in situations in which major validity assumptions are fulfilled (i.e., for which they are recommended), accounting for situations for which the design can be adapted. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12874-016-0278-0) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-5299667 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-52996672017-02-13 Self-controlled designs in pharmacoepidemiology involving electronic healthcare databases: a systematic review Gault, Nathalie Castañeda-Sanabria, Johann De Rycke, Yann Guillo, Sylvie Foulon, Stéphanie Tubach, Florence BMC Med Res Methodol Research Article BACKGROUND: Observational studies are widely used in pharmacoepidemiology. Several designs can be used, in particular self-controlled designs (case-crossover and self-controlled case series). These designs offer the advantage of controlling for time-invariant confounders, which may not be collected in electronic healthcare databases. They are particularly useful in pharmacoepidemiology involving healthcare database. To be valid, they require the presence of some characteristics (key validity assumptions), and in such situations, these designs should be preferred. We aimed at describing the appropriate use and reporting of the key validity assumptions in self-controlled design studies. METHODS: Articles published between January 2011 and December 2014, and describing a self-controlled study design involving electronic healthcare databases were retrieved. The appropriate use (fulfilment of key assumptions) was studied in terms of major (abrupt onset event, rare or recurrent event, and intermittent exposure) and minor assumptions (those for which the design can be adapted). RESULTS: Among the 107 articles describing a self-controlled design, 35/53 (66%) case-crossover studies, and 48/55 (87%) self-controlled case series fulfilled the major validity assumptions for use of the design; 4/35 and 14/48 respectively did not fulfill the minor assumptions. Overall, 31/53 (58%) case-crossover studies and 34/55 (62%) self-controlled case series fulfilled both major and minor assumptions. The reporting of the methodology or the results was appropriate, except for power calculation. CONCLUSIONS: Self-controlled designs were not appropriately used in34% and 13% of the articles we reviewed that described a case-crossover or a self-controlled case series design, respectively. We encourage better use of these designs in situations in which major validity assumptions are fulfilled (i.e., for which they are recommended), accounting for situations for which the design can be adapted. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12874-016-0278-0) contains supplementary material, which is available to authorized users. BioMed Central 2017-02-08 /pmc/articles/PMC5299667/ /pubmed/28178924 http://dx.doi.org/10.1186/s12874-016-0278-0 Text en © The Author(s). 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. 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 | Research Article Gault, Nathalie Castañeda-Sanabria, Johann De Rycke, Yann Guillo, Sylvie Foulon, Stéphanie Tubach, Florence Self-controlled designs in pharmacoepidemiology involving electronic healthcare databases: a systematic review |
title | Self-controlled designs in pharmacoepidemiology involving electronic healthcare databases: a systematic review |
title_full | Self-controlled designs in pharmacoepidemiology involving electronic healthcare databases: a systematic review |
title_fullStr | Self-controlled designs in pharmacoepidemiology involving electronic healthcare databases: a systematic review |
title_full_unstemmed | Self-controlled designs in pharmacoepidemiology involving electronic healthcare databases: a systematic review |
title_short | Self-controlled designs in pharmacoepidemiology involving electronic healthcare databases: a systematic review |
title_sort | self-controlled designs in pharmacoepidemiology involving electronic healthcare databases: a systematic review |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5299667/ https://www.ncbi.nlm.nih.gov/pubmed/28178924 http://dx.doi.org/10.1186/s12874-016-0278-0 |
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