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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Abstract
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 |
|---|---|
| Status: | Published |
| Refereed: | Yes |
| 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 > School of Health & Wellbeing > General Practice and Primary Care |
| Journal Name: | Journal of Comorbidity |
| Publisher: | Swiss Medical Press GmbH |
| ISSN: | 2235-042X |
| 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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