Problems in determining occurrence rates of multimorbidity
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 studie...
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Veröffentlicht in: | Journal of clinical epidemiology 2001-07, Vol.54 (7), p.675-679 |
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creator | van den Akker, Marjan Buntinx, Frank Roos, Sjef Knottnerus, J.André |
description | 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. |
doi_str_mv | 10.1016/S0895-4356(00)00358-9 |
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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.</description><identifier>ISSN: 0895-4356</identifier><identifier>EISSN: 1878-5921</identifier><identifier>DOI: 10.1016/S0895-4356(00)00358-9</identifier><identifier>PMID: 11438407</identifier><language>eng</language><publisher>New York, NY: Elsevier Inc</publisher><subject>Aged ; Analysis. Health state ; Biological and medical sciences ; Comorbidity ; Determinants ; Epidemiologic Methods ; Epidemiology ; General aspects ; Humans ; Medical sciences ; Methodology ; Middle Aged ; Multimorbidity ; Occurrence ; Prevalence ; Public health. Hygiene ; Public health. 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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.</description><subject>Aged</subject><subject>Analysis. Health state</subject><subject>Biological and medical sciences</subject><subject>Comorbidity</subject><subject>Determinants</subject><subject>Epidemiologic Methods</subject><subject>Epidemiology</subject><subject>General aspects</subject><subject>Humans</subject><subject>Medical sciences</subject><subject>Methodology</subject><subject>Middle Aged</subject><subject>Multimorbidity</subject><subject>Occurrence</subject><subject>Prevalence</subject><subject>Public health. Hygiene</subject><subject>Public health. 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Health state</topic><topic>Biological and medical sciences</topic><topic>Comorbidity</topic><topic>Determinants</topic><topic>Epidemiologic Methods</topic><topic>Epidemiology</topic><topic>General aspects</topic><topic>Humans</topic><topic>Medical sciences</topic><topic>Methodology</topic><topic>Middle Aged</topic><topic>Multimorbidity</topic><topic>Occurrence</topic><topic>Prevalence</topic><topic>Public health. Hygiene</topic><topic>Public health. Hygiene-occupational medicine</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>van den Akker, Marjan</creatorcontrib><creatorcontrib>Buntinx, Frank</creatorcontrib><creatorcontrib>Roos, Sjef</creatorcontrib><creatorcontrib>Knottnerus, J.André</creatorcontrib><collection>Pascal-Francis</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Journal of clinical epidemiology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>van den Akker, Marjan</au><au>Buntinx, Frank</au><au>Roos, Sjef</au><au>Knottnerus, J.André</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Problems in determining occurrence rates of multimorbidity</atitle><jtitle>Journal of clinical epidemiology</jtitle><addtitle>J Clin Epidemiol</addtitle><date>2001-07-01</date><risdate>2001</risdate><volume>54</volume><issue>7</issue><spage>675</spage><epage>679</epage><pages>675-679</pages><issn>0895-4356</issn><eissn>1878-5921</eissn><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.</abstract><cop>New York, NY</cop><pub>Elsevier Inc</pub><pmid>11438407</pmid><doi>10.1016/S0895-4356(00)00358-9</doi><tpages>5</tpages></addata></record> |
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subjects | Aged Analysis. Health state Biological and medical sciences Comorbidity Determinants Epidemiologic Methods Epidemiology General aspects Humans Medical sciences Methodology Middle Aged Multimorbidity Occurrence Prevalence Public health. Hygiene Public health. Hygiene-occupational medicine |
title | Problems in determining occurrence rates of multimorbidity |
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