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      Examining different measures of multimorbidity, using a large prospective cross-sectional study in Australian general practice

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          Abstract

          Objectives

          Prevalence estimates of multimorbidity vary widely due to inconsistent definitions and measurement methods. This study examines the independent effects on prevalence estimates of how ‘disease entity’ is defined—as a single chronic condition or chapters/domains in the International Classification of Primary Care (V.2; ICPC-2), International Classification of Disease (10th revision; ICD-10) or the Cumulative Illness Rating Scale (CIRS), the number of disease entities required for multimorbidity, and the number of chronic conditions studied.

          Design

          National prospective cross-sectional study.

          Setting

          Australian general practice.

          Participants

          8707 random consenting deidentified patient encounters with 290 randomly selected general practitioners.

          Main outcome measures

          Prevalence estimates of multimorbidity using different definitions.

          Results

          Data classified to ICPC-2 chapters, ICD-10 chapters or CIRS domains produce similar multimorbidity prevalence estimates. When multimorbidity was defined as two or more (2+) disease entities: counting individual chronic conditions and groups of chronic conditions produced similar estimates; the 12 most prevalent chronic conditions identified about 80% of those identified using all chronic conditions. When multimorbidity was defined as 3+ disease entities: counting individual chronic conditions produced significantly higher estimates than counting groups of chronic conditions; the 12 most prevalent chronic conditions identified only two-thirds of patients identified using all chronic conditions.

          Conclusions

          Multimorbidity defined as 2+ disease entities can be measured using different definitions of disease entity with as few as 12 prevalent chronic conditions, but lacks specificity to be useful, especially in older people. Multimorbidity, defined as 3+, requires more measurement conformity and inclusion of all chronic conditions, but provides greater specificity than the 2+ definition. The proposed concept of “complex multimorbidity”, the co-occurrence of three or more chronic conditions affecting three or more different body systems within one person without defining an index chronic condition, may be useful in identifying high-need individuals.

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          Most cited references5

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          Defining chronic conditions for primary care with ICPC-2.

          With the increasing prevalence of chronic conditions, there is need for a standardized definition of chronicity for use in research, to evaluate the population prevalence and general practice management of chronic conditions. Our aims were to determine the characteristics required to define chronicity, apply them to a primary care classification and provide a defined codeset of chronic conditions. A literature review evaluated characteristics used to define chronic conditions. The final set of characteristics was applied to the International Classification of Primary Care-Version 2 (ICPC-2) through more specific terms available in ICPC-2 PLUS, an extended terminology classified to ICPC-2. A set of ICPC-2 rubrics was delineated as representing chronic conditions. Factors found to be relevant to a definition of chronic conditions for research were: duration; prognosis; pattern; and sequelae. Within ICPC-2, 129 rubrics were described as 'chronic', and another 20 rubrics had elements of chronicity. Duration was the criterion most frequently satisfied (98.4% of chronic rubrics), while 88.2% of rubrics met at least three of the four criteria. Monitoring the prevalence and management of chronic conditions is of increasing importance. This study provided evidence for multifaceted definitions of chronicity. While all characteristics examined could be used by those interested in chronicity, the list has been designed to identify chronic conditions managed in Australian general practice, and is therefore not a nomenclature of all chronic conditions. Subsequent analysis of chronic conditions using pre-existing data sets will provide a baseline measure of chronic condition prevalence and management in general practice.
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            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 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.
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              Comorbidity of chronic diseases in general practice.

              With the increasing number of elderly people in The Netherlands the prevalence of chronic diseases will rise in the next decades. It is recognized in general practice that many older patients suffer from more than one chronic disease (comorbidity). The aim of this study is to describe the extent of comorbidity for the following diseases: hypertension, chronic ischemic heart disease, diabetes mellitus, chronic nonspecific lung disease, osteoarthritis. In a general practice population of 23,534 persons, 1989 patients have been identified with one or more chronic diseases. Only diseases in agreement with diagnostic criteria were included. In persons of 65 and older 23% suffer from one or more of the chronic diseases under study. Within this group 15% suffer from more than one of the chronic diseases. Osteoarthritis and diabetes mellitus are the diseases with the highest rate of comorbidity. Comorbidity restricts the external validity of results from single-disease intervention studies and complicates the organization of care.
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                Author and article information

                Journal
                BMJ Open
                BMJ Open
                bmjopen
                bmjopen
                BMJ Open
                BMJ Publishing Group (BMA House, Tavistock Square, London, WC1H 9JR )
                2044-6055
                2014
                11 July 2014
                : 4
                : 7
                : e004694
                Affiliations
                Family Medicine Research Centre, School of Public Health, University of Sydney , Sydney, Australia
                Author notes
                [Correspondence to ] Christopher Harrison; christopher.harrison@ 123456sydney.edu.au
                Article
                bmjopen-2013-004694
                10.1136/bmjopen-2013-004694
                4120329
                25015470
                06dbf214-54dd-45bf-a0e5-89ea92cddd88
                Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions

                This is an Open Access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 3.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/3.0/

                History
                : 16 December 2013
                : 30 May 2014
                : 17 June 2014
                Categories
                Geriatric Medicine
                Research
                1506
                1698
                1696
                1692

                Medicine
                multimorbidity,comorbidity,general practice
                Medicine
                multimorbidity, comorbidity, general practice

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