Secondary analysis of data on comorbidity/multimorbidity: a call for papers
| Main Authors: | van den Akker, Marjan, Gunn, Jane, Mercer, Stewart, Fortin, Martin, Smith, Susan M |
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| Format: | Article |
| Terbitan: |
, 2015
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| Subjects: | |
| Online Access: |
https://zenodo.org/record/31609 |
Daftar Isi:
- 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