Secondary analysis of data on comorbidity/multimorbidity: a call for papers

van den Akker, M., Gunn, J., Mercer, S. , Fortin, M. and Smith, S. (2015) Secondary analysis of data on comorbidity/multimorbidity: a call for papers. Journal of Comorbidity, 5(1), pp. 120-121. (doi: 10.15256/joc.2015.5.57)

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Despite the high proportion and growing number of people with comorbidity/multimorbidity, clinical trials often exclude this group, leading to a limited evidence base to guide policy and practice for these individuals [1–5]. This evidence gap can potentially be addressed by secondary analysis of studies that were not originally designed to specifically examine comorbidity/multimorbidity, but have collected information from participants on co-occurring conditions. For example, secondary data analysis from randomized controlled trials may shed light on whether there is a differential impact of interventions on people with comorbidity/multimorbidity. Furthermore, data regarding comorbidity/multimorbidity can often be obtained from registration networks or administrative data sets.

Item Type:Articles
Glasgow Author(s) Enlighten ID:Mercer, Professor Stewart and Gunn, Professor Jane
Authors: van den Akker, M., Gunn, J., Mercer, S., Fortin, M., and Smith, S.
College/School:College of Medical Veterinary and Life Sciences > Institute of Health and Wellbeing > General Practice and Primary Care
Journal Name:Journal of Comorbidity
Publisher:Swiss Medical Press GmbH
ISSN (Online):2235-042X
Copyright Holders:Copyright © 2015 The Authors
First Published:First published in Journal of Comorbidity 5(1):120-121
Publisher Policy:Reproduced under a Creative Commons License

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