Secondary analysis of data on comorbidity/multimorbidity: a call for papers
Journal: Journal of Comorbidity (Vol.5, No. 1)Publication Date: 2015-02-17
Authors : Marjan van den Akker; Jane Gunn; Stewart W. Mercer; Martin Fortin; Susan M. Smith;
Page : 120-121
Keywords : secondary data analysis; open access; comorbidity; multimorbidity; multiple chronic conditions; chronic diseases;
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.
Journal of Comorbidity 2015;5(1):120?121
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