Literature DB >> 11438407

Problems in determining occurrence rates of multimorbidity.

M van den Akker1, F Buntinx, S Roos, J A Knottnerus.   

Abstract

This article describes methodological decisions that have to be made when studying multiple pathology and presents appropriate analytical techniques. The main question of this article is: how can comorbidity and multimorbidity be operationalized with respect to the number and type of diseases studied, and which analytic approaches are available for the evaluation of multiple pathology? Choices regarding the number and type of diseases studied have great impact on the observed incidence and prevalence rates of comorbidity and multimorbidity. These rates are largely dependent on age, sex, and other determinants. In addition to crude descriptive measures, odds ratios and relative risks can be used to study comorbidity, whereas multimorbidity can be studied using observed/expected ratios. While basic analyses of comorbidity can be performed using standard statistical packages, two additional programs were developed for the analysis of the distribution of multimorbidity and statistically unexpected comorbidity, respectively. As some analyses are addressing multicomparisons, external validity testing is recommended.

Mesh:

Year:  2001        PMID: 11438407     DOI: 10.1016/s0895-4356(00)00358-9

Source DB:  PubMed          Journal:  J Clin Epidemiol        ISSN: 0895-4356            Impact factor:   6.437


  72 in total

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Authors:  Michael A Steinman; Sei J Lee; W John Boscardin; Yinghui Miao; Kathy Z Fung; Kelly L Moore; Janice B Schwartz
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8.  Multimorbidity in patients attending 2 Australian primary care practices.

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10.  Which chronic diseases and disease combinations are specific to multimorbidity in the elderly? Results of a claims data based cross-sectional study in Germany.

Authors:  Hendrik van den Bussche; Daniela Koller; Tina Kolonko; Heike Hansen; Karl Wegscheider; Gerd Glaeske; Eike-Christin von Leitner; Ingmar Schäfer; Gerhard Schön
Journal:  BMC Public Health       Date:  2011-02-14       Impact factor: 3.295

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