Self-controlled designs in pharmacoepidemiology involving electronic healthcare databases: a systematic review

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• 作者：Nathalie Gault ; Johann Castañeda-Sanabria…
• 关键词：Pharmacoepidemiology ; Self ; controlled designs ; Observational studies ; Databases ; Systematic review
• 刊名：BMC Medical Research Methodology
• 出版年：2017
• 出版时间：December 2017
• 年：2017
• 卷：17
• 期：1
• 全文大小：586KB
• 刊物主题：Theory of Medicine/Bioethics; Statistical Theory and Methods; Statistics for Life Sciences, Medicine, Health Sciences;
• 出版者：BioMed Central
• ISSN：1471-2288
• 卷排序：17

文摘

BackgroundObservational 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.