Examining different measures of multimorbidity, using a large prospective cross-sectional study in Australian general practice - PubMed (original) (raw)
Multicenter Study
Examining different measures of multimorbidity, using a large prospective cross-sectional study in Australian general practice
Christopher Harrison et al. BMJ Open. 2014.
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.
Keywords: Comorbidity; General practice; Multimorbidity.
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.
Figures
Figure 1
Multiple conditions within patients as defined by different classification systems (CIRS, Cumulative Illness Rating Scale; GP, general practitioners; ICD, International Classification of Disease; ICPC, International Classification of Primary Care).
Figure 2
Estimated prevalence of multimorbidity by different classification systems and by whether 2+ or 3+ minimum number of disease entities was used (CIRS, Cumulative Illness Rating Scale; GP, general practitioners; ICD, International Classification of Disease; ICPC, International Classification of Primary Care).
Figure 3
Patient age-specific prevalence of ‘multimorbidity’ (ICPC, International Classification of Primary Care).
Similar articles
- Age- and gender-related prevalence of multimorbidity in primary care: the Swiss FIRE project.
Rizza A, Kaplan V, Senn O, Rosemann T, Bhend H, Tandjung R; FIRE study group. Rizza A, et al. BMC Fam Pract. 2012 Nov 24;13:113. doi: 10.1186/1471-2296-13-113. BMC Fam Pract. 2012. PMID: 23181753 Free PMC article. - The prevalence of complex multimorbidity in Australia.
Harrison C, Henderson J, Miller G, Britt H. Harrison C, et al. Aust N Z J Public Health. 2016 Jun;40(3):239-44. doi: 10.1111/1753-6405.12509. Epub 2016 Mar 30. Aust N Z J Public Health. 2016. PMID: 27027989 - Associations between multimorbidity and glycaemia (HbA1c) in people with type 2 diabetes: cross-sectional study in Australian general practice.
Chiang JI, Furler J, Mair F, Jani BD, Nicholl BI, Thuraisingam S, Manski-Nankervis JA. Chiang JI, et al. BMJ Open. 2020 Nov 26;10(11):e039625. doi: 10.1136/bmjopen-2020-039625. BMJ Open. 2020. PMID: 33243798 Free PMC article. - Multimorbidity and functional decline in community-dwelling adults: a systematic review.
Ryan A, Wallace E, O'Hara P, Smith SM. Ryan A, et al. Health Qual Life Outcomes. 2015 Oct 15;13:168. doi: 10.1186/s12955-015-0355-9. Health Qual Life Outcomes. 2015. PMID: 26467295 Free PMC article. - Definitions and Prevalence of Multimorbidity in Large Database Studies: A Scoping Review.
Chua YP, Xie Y, Lee PSS, Lee ES. Chua YP, et al. Int J Environ Res Public Health. 2021 Feb 9;18(4):1673. doi: 10.3390/ijerph18041673. Int J Environ Res Public Health. 2021. PMID: 33572441 Free PMC article.
Cited by
- Association of Multimorbidity and Excess Mortality After Fractures Among Danish Adults.
Tran T, Bliuc D, Ho-Le T, Abrahamsen B, van den Bergh JP, Chen W, Eisman JA, Geusens P, Hansen L, Vestergaard P, Nguyen TV, Blank RD, Center JR. Tran T, et al. JAMA Netw Open. 2022 Oct 3;5(10):e2235856. doi: 10.1001/jamanetworkopen.2022.35856. JAMA Netw Open. 2022. PMID: 36215068 Free PMC article. - Prevalence of constipation in adults with obesity class II and III and associated factors.
Silveira EA, Santos ASEAC, Ribeiro JN, Noll M, Dos Santos Rodrigues AP, de Oliveira C. Silveira EA, et al. BMC Gastroenterol. 2021 May 12;21(1):217. doi: 10.1186/s12876-021-01806-5. BMC Gastroenterol. 2021. PMID: 33980157 Free PMC article. Clinical Trial. - Longitudinal clustering of health behaviours and their association with multimorbidity in older adults in England: A latent class analysis.
Suhag A, Webb TL, Holmes J. Suhag A, et al. PLoS One. 2024 Jan 25;19(1):e0297422. doi: 10.1371/journal.pone.0297422. eCollection 2024. PLoS One. 2024. PMID: 38271435 Free PMC article. - Different Multimorbidity Measures Result in Varying Estimated Levels of Physical Quality of Life in Individuals with Multimorbidity: A Cross-Sectional Study in the General Population.
Ramond-Roquin A, Haggerty J, Lambert M, Almirall J, Fortin M. Ramond-Roquin A, et al. Biomed Res Int. 2016;2016:7845438. doi: 10.1155/2016/7845438. Epub 2016 Mar 16. Biomed Res Int. 2016. PMID: 27069925 Free PMC article. - Prioritizing social identities: Patients' perspective on living with multimorbidity.
Sand CD, Rahbek K, Willadsen TG, Jønsson AR. Sand CD, et al. J Multimorb Comorb. 2021 Apr 27;11:26335565211009375. doi: 10.1177/26335565211009375. eCollection 2021 Jan-Dec. J Multimorb Comorb. 2021. PMID: 33996614 Free PMC article.
References
- Feinstein AR. Clinical judgment. Baltimore, MD: Williams and Wilkins, 1967
- van den AM, Buntinx F, Roos S, et al. Problems in determining occurrence rates of multimorbidity. J Clin Epidemiol 2001;54:675–9 - PubMed
- United Nations. World population ageing: 1950–2050. UNITED NATIONS PUBLICATIONS, 2001. [cited 28 Oct 2013]. http://www.un.org/esa/population/publications/worldageing19502050/
- Britt HC, Harrison CM, Miller GC, et al. Prevalence and patterns of multimorbidity in Australia. Med J Aust 2008;189:72–7 - PubMed
Publication types
MeSH terms
LinkOut - more resources
Full Text Sources
Other Literature Sources
Medical