Back to Journals » Clinical Epidemiology » Volume 9

The use of random-effects models to identify health care center-related characteristics modifying the effect of antipsychotic drugs

Authors Nordon C, Battin C, Verdoux H, Haro JM, Belger M, Abenhaim L, van Staa TP

Received 2 July 2017

Accepted for publication 11 September 2017

Published 14 December 2017 Volume 2017:9 Pages 689—698

DOI https://doi.org/10.2147/CLEP.S145353

Checked for plagiarism Yes

Review by Single-blind

Peer reviewers approved by Dr Colin Mak

Peer reviewer comments 2

Editor who approved publication: Professor Henrik Toft Sørensen


Clementine Nordon,1 Constance Battin,1 Helene Verdoux,2 Josef Maria Haro,3 Mark Belger,4 Lucien Abenhaim,1 Tjeerd Pieter van Staa5

On behalf of the IMI GetReal WP2 Group

1Epidemiological Research, Analytica LASER, Paris, 2Population Health Research Center, Team Pharmaco-Epidemiology, UMR 1219, Bordeaux-2 University, INSERM, Bordeaux, France; 3Parc Sanitari Sant Joan de Deu, CIBERSAM, University of Barcelona, Barcelona, Spain; 4Eli Lilly and Company Limited, Erl Wood Manor, Windlesham, 5Farr Institute, University of Manchester, Manchester, UK

Purpose: A case study was conducted, exploring methods to identify drugs effects modifiers, at a health care center level.
Patients and methods: Data were drawn from the Schizophrenia Outpatient Health Outcome cohort, including hierarchical information on 6641 patients, recruited from 899 health care centers from across ten European countries. Center-level characteristics included the following: psychiatrist’s gender, age, length of practice experience, practice setting and type, countries’ Healthcare System Efficiency score, and psychiatrist density in the country. Mixed multivariable linear regression models were used: 1) to estimate antipsychotic drugs’ effectiveness (defined as the association between patients’ outcome at 3 months – dependent variable, continuous – and antipsychotic drug initiation at baseline – drug A vs other antipsychotic drug); 2) to estimate the similarity between clustered data (using the intra-cluster correlation coefficient); and 3) to explore antipsychotic drug effects modification by center-related characteristics (using the addition of an interaction term).
Results: About 23% of the variance found for patients’ outcome was explained by unmeasured confounding at a center level. Psychiatrists’ practice experience was found to be associated with patient outcomes (p=0.04) and modified the relative effect of “drug A” (p<0.001), independent of center- or patient-related characteristics.
Conclusion: Mixed models may be useful to explore how center-related characteristics modify drugs’ effect estimates, but require numerous assumptions.

Keywords: schizophrenia, effect modification, effectiveness, health care system, hierarchical model

Creative Commons License This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution - Non Commercial (unported, v3.0) License. By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms.

Download Article [PDF]  View Full Text [HTML][Machine readable]