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Does Multimorbidity Influence the Occurrence Rates of Chronic Conditions? A Claims Data Based Comparison of Expected and Observed Prevalence Rates

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  • Ingmar Schäfer

Abstract

Objective: Multimorbidity is a complex phenomenon with an almost endless number of possible disease combinations with unclear implications. One important aspect in analyzing the clustering of diseases is to distinguish between random coexistence and statistical dependency. We developed a model to account for random coexistence based on stochastic distribution. We analyzed if the number of diseases of the patients influences the occurrence rates of chronic conditions. Methods: We analyzed claims data of 121,389 persons aged 65+ using a list of 46 chronic conditions. Expected prevalences were simulated by drawing without replacement from all observed diseases using observed overall prevalences as initial probability weights. To determine if a disease occurs more or less frequently than expected by chance we calculated observed-minus-expected deltas for each disease. We defined clinical relevance as |delta| ≥ 5.0%. 18 conditions were excluded because of a prevalence

Suggested Citation

  • Ingmar Schäfer, 2012. "Does Multimorbidity Influence the Occurrence Rates of Chronic Conditions? A Claims Data Based Comparison of Expected and Observed Prevalence Rates," PLOS ONE, Public Library of Science, vol. 7(9), pages 1-8, September.
    • Handle: RePEc:plo:pone00:0045390
    DOI: 10.1371/journal.pone.0045390
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    1. Ingmar Schäfer & Eike-Christin von Leitner & Gerhard Schön & Daniela Koller & Heike Hansen & Tina Kolonko & Hanna Kaduszkiewicz & Karl Wegscheider & Gerd Glaeske & Hendrik van den Bussche, 2010. "Multimorbidity Patterns in the Elderly: A New Approach of Disease Clustering Identifies Complex Interrelations between Chronic Conditions," PLOS ONE, Public Library of Science, vol. 5(12), pages 1-10, December.
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