Royal College of Surgeons in Ireland
Secondary analysis of data on comorbiditymultimorbidity: a call.pdf (356.2 kB)
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Secondary analysis of data on comorbidity/multimorbidity: a call for papers.

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journal contribution
posted on 2022-03-07, 16:05 authored by Marjan van den Akker, Jane Gunn, Stewart W. Mercer, Martin Fortin, Susan SmithSusan 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. These types of data sets can address a range of epidemiological research questions, such as:


Canadian Institutes of Health Research. Scottish School of Primary Care. Health Research Board Centre for Primary Care Research Centre in Ireland.



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Published Citation

van den Akker M, Gunn J, Mercer SW, Fortin M, Smith SM. Secondary analysis of data on comorbidity/multimorbidity: a call for papers. Journal of Comorbidity 2015;5(1):120–121.

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