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Pharmacoepidemiology Research: delivering evidence about drug safety and effectiveness in mental health

Research output: Contribution to journalReview articlepeer-review

Katrina A S Davis, Saeed Farooq, Joseph F Hayes, Ann John, William Lee, James H MacCabe, Andrew McIntosh, David P J Osborn, Robert J Stewart, Eva Woelbert

Original languageEnglish
JournalThe Lancet Psychiatry
Early online date25 Nov 2019
DOIs
Accepted/In press29 Jul 2019
E-pub ahead of print25 Nov 2019

Bibliographical note

Copyright © 2019 Elsevier Ltd. All rights reserved.

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  • submitted version

    submitted_version.docx, 118 KB, application/vnd.openxmlformats-officedocument.wordprocessingml.document

    Uploaded date:06 Aug 2019

    Version:Accepted author manuscript

  • submitted version

    submitted_version.docx, 118 KB, application/vnd.openxmlformats-officedocument.wordprocessingml.document

    Uploaded date:03 Jan 2020

    Version:Submitted manuscript

King's Authors

Abstract

There is a need for research that provides an evidence base for the pharmacotherapy of people with mental disorders. The abundance of digital data in recent years has facilitated pharmacoepidemiology in the form of observational comparative effectiveness studies at the population level. Advantages are large patient samples, coverage of under-researched sub-populations and naturalistic conditions. Pharmacoepidemiology is also cheaper and quicker to carry out than RCTs, meaning that issues regarding generic medication, stopping medication (deprescribing) and long-term outcomes are more likely to be addressed. Methods can also be extended to pharmacovigilance and drug repurposing.

Drawbacks of observational studies come from the non-randomised nature of treatment selection, and the inherent risk of confounding by indication. Potential methods for managing this may include active comparison groups, inter-individual designs, propensity scoring and instrumental variables. Many of the more rigorous pharmacoepidemiology studies have been strengthened through multiple triangulated analytic approaches to improve confidence in inferred causal relationships.

With these developments in data resources and analytic techniques, it is encouraging that guidelines are beginning to include evidence from robust pharmacoepidemiogical studies alongside RCTs. Collaboration between guideline-writers and researchers involved in pharmacoepidemiology may help researchers ask the questions that are important to policy-makers and ensure that results get integrated into the evidence-base. Further development of statistical and data science techniques, alongside capacity building in terms of data resources, a wider researcher base and public engagement, will be necessary to take full advantage of future opportunities.

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