Literature DB >> 31780306

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

Katrina A S Davis1, Saeed Farooq2, Joseph F Hayes3, Ann John4, William Lee5, James H MacCabe6, Andrew McIntosh7, David P J Osborn3, Robert J Stewart6, Eva Woelbert8.   

Abstract

Research that provides an evidence base for the pharmacotherapy of people with mental disorders is needed. The abundance of digital data has facilitated pharmacoepidemiology and, in particular, observational research on the effectiveness of real-world medication. Advantages of pharmacoepidemiological research are the availability of large patient samples, and coverage of under-researched subpopulations in their naturalistic conditions. Such research is also cheaper and quicker to do than randomised controlled trials, meaning that issues regarding generic medication, stopping medication (deprescribing), and long-term outcomes are more likely to be addressed. Pharmacoepidemiological methods can also be extended to pharmacovigilance and to aid the development of new purposes for existing drugs. Drawbacks of observational pharmacoepidemiological studies come from the non-randomised nature of treatment selection, leading to confounding by indication. Potential methods for managing this drawback include active comparison groups, within-individual designs, and propensity scoring. Many of the more rigorous pharmacoepidemiology studies have been strengthened through multiple analytical approaches triangulated to improve confidence in inferred causal relationships. With developments in data resources and analytical techniques, it is encouraging that guidelines are beginning to include evidence from robust observational pharmacoepidemiological studies alongside randomised controlled trials. Collaboration between guideline writers and researchers involved in pharmacoepidemiology could help researchers to answer the questions that are important to policy makers and ensure that results are integrated into the evidence base. Further development of statistical and data science techniques, alongside public engagement and capacity building (data resources and researcher base), will be necessary to take full advantage of future opportunities.
Copyright © 2019 Elsevier Ltd. All rights reserved.

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Year:  2019        PMID: 31780306     DOI: 10.1016/S2215-0366(19)30298-6

Source DB:  PubMed          Journal:  Lancet Psychiatry        ISSN: 2215-0366            Impact factor:   27.083


  7 in total

1.  Onset and recurrence of psychiatric disorders associated with anti-hypertensive drug classes.

Authors:  Lucy Colbourne; Sierra Luciano; Paul J Harrison
Journal:  Transl Psychiatry       Date:  2021-05-26       Impact factor: 6.222

2.  Rates of delirium associated with calcium channel blockers compared to diuretics, renin-angiotensin system agents and beta-blockers: An electronic health records network study.

Authors:  Paul J Harrison; Sierra Luciano; Lucy Colbourne
Journal:  J Psychopharmacol       Date:  2020-07-08       Impact factor: 4.153

3.  Sex-Specific Associations Between Bipolar Disorder Pharmacological Maintenance Therapies and Inpatient Rehospitalizations: A 9-Year Swedish National Registry Study.

Authors:  Dragos C Ragazan; Jonas Eberhard; Jonas Berge
Journal:  Front Psychiatry       Date:  2020-11-12       Impact factor: 4.157

4.  Comorbid Chronic Pain and Depression: Shared Risk Factors and Differential Antidepressant Effectiveness.

Authors:  William H Roughan; Adrián I Campos; Luis M García-Marín; Gabriel Cuéllar-Partida; Michelle K Lupton; Ian B Hickie; Sarah E Medland; Naomi R Wray; Enda M Byrne; Trung Thanh Ngo; Nicholas G Martin; Miguel E Rentería
Journal:  Front Psychiatry       Date:  2021-04-12       Impact factor: 4.157

5.  Pharmacotherapy, drug-drug interactions and potentially inappropriate medication in depressive disorders.

Authors:  Jan Wolff; Pamela Reißner; Gudrun Hefner; Claus Normann; Klaus Kaier; Harald Binder; Christoph Hiemke; Sermin Toto; Katharina Domschke; Michael Marschollek; Ansgar Klimke
Journal:  PLoS One       Date:  2021-07-22       Impact factor: 3.240

6.  So near yet so far: why won't the UK prescribe medical cannabis?

Authors:  David Nutt; Steve Bazire; Lawrence D Phillips; Anne Katrin Schlag
Journal:  BMJ Open       Date:  2020-09-21       Impact factor: 2.692

7.  Prediction of treatment dosage and duration from free-text prescriptions: an application to ADHD medications in the Swedish prescribed drug register.

Authors:  Le Zhang; Tyra Lagerberg; Qi Chen; Laura Ghirardi; Brian M D'Onofrio; Henrik Larsson; Alexander Viktorin; Zheng Chang
Journal:  Evid Based Ment Health       Date:  2021-04-01
  7 in total

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