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

Marjan van den Akker, Jane Gunn, Stewart W. Mercer, Martin Fortin, Susan M. Smith


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.

Journal of Comorbidity 2015;5(1):120–121


secondary data analysis, open access, comorbidity, multimorbidity, multiple chronic conditions, chronic diseases

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    ISSN 2235-042X