The prevalence of multimorbidity in primary care: a comparison of two definitions of multimorbidity with two different lists of chronic conditions in Singapore

Abstract Background The prevalence of multimorbidity varies widely due to the lack of consensus in defining multimorbidity. This study aimed to measure the prevalence of multimorbidity in a primary care setting using two definitions of multimorbidity with two different lists of chronic conditions. M...

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Main Authors: Eng Sing Lee, Poay Sian Sabrina Lee, Ying Xie, Bridget L. Ryan, Martin Fortin, Moira Stewart
Format: Article
Language:English
Published: BMC 2021-07-01
Series:BMC Public Health
Subjects:
Age
Sex
Online Access:https://doi.org/10.1186/s12889-021-11464-7
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spelling doaj-5f5584692d8a4fcab754957a7b8248092021-07-18T11:15:35ZengBMCBMC Public Health1471-24582021-07-012111910.1186/s12889-021-11464-7The prevalence of multimorbidity in primary care: a comparison of two definitions of multimorbidity with two different lists of chronic conditions in SingaporeEng Sing Lee0Poay Sian Sabrina Lee1Ying Xie2Bridget L. Ryan3Martin Fortin4Moira Stewart5Clinical Research Unit, National Healthcare Group PolyclinicsClinical Research Unit, National Healthcare Group PolyclinicsClinical Research Unit, National Healthcare Group PolyclinicsDepartment of Epidemiology and Biostatistics, Schulich School of Medicine & Dentistry, Western UniversityDepartment of Family Medicine, Centre de Santé et de Services Sociaux de Chicoutimi, Unité de médecine de famille, University of SherbrookeDepartment of Epidemiology and Biostatistics, Schulich School of Medicine & Dentistry, Western UniversityAbstract Background The prevalence of multimorbidity varies widely due to the lack of consensus in defining multimorbidity. This study aimed to measure the prevalence of multimorbidity in a primary care setting using two definitions of multimorbidity with two different lists of chronic conditions. Methods We conducted a cross-sectional study of 787,446 patients, aged 0 to 99 years, who consulted a family physician between July 2015 to June 2016. Multimorbidity was defined as ‘two or more’ (MM2+) or ‘three or more’ (MM3+) chronic conditions using the Fortin list and Chronic Disease Management Program (CDMP) list of chronic conditions. Crude and standardised prevalence rates were reported, and the corresponding age, sex or ethnic-stratified standardised prevalence rates were adjusted to the local population census. Results The number of patients with multimorbidity increased with age. Age-sex-ethnicity standardised prevalence rates of multimorbidity using MM2+ and MM3+ for Fortin list (25.9, 17.2%) were higher than those for CDMP list (22.0%; 12.4%). Sex-stratified, age-ethnicity standardised prevalence rates for MM2+ and MM3+ were consistently higher in males compared to females for both lists. Chinese and Indians have the highest standardised prevalence rates among the four ethnicities using MM2+ and MM3+ respectively. Conclusions MM3+ was better at identifying a smaller number of patients with multimorbidity requiring higher needs compared to MM2+. Using the Fortin list seemed more appropriate than the CDMP list because the chronic conditions in Fortin’s list were more commonly seen in primary care. A consistent definition of multimorbidity will help researchers and clinicians to understand the epidemiology of multimorbidity better.https://doi.org/10.1186/s12889-021-11464-7MultimorbidityPrevalenceAgeSexEthnicityPrimary care
collection DOAJ
language English
format Article
sources DOAJ
author Eng Sing Lee
Poay Sian Sabrina Lee
Ying Xie
Bridget L. Ryan
Martin Fortin
Moira Stewart
spellingShingle Eng Sing Lee
Poay Sian Sabrina Lee
Ying Xie
Bridget L. Ryan
Martin Fortin
Moira Stewart
The prevalence of multimorbidity in primary care: a comparison of two definitions of multimorbidity with two different lists of chronic conditions in Singapore
BMC Public Health
Multimorbidity
Prevalence
Age
Sex
Ethnicity
Primary care
author_facet Eng Sing Lee
Poay Sian Sabrina Lee
Ying Xie
Bridget L. Ryan
Martin Fortin
Moira Stewart
author_sort Eng Sing Lee
title The prevalence of multimorbidity in primary care: a comparison of two definitions of multimorbidity with two different lists of chronic conditions in Singapore
title_short The prevalence of multimorbidity in primary care: a comparison of two definitions of multimorbidity with two different lists of chronic conditions in Singapore
title_full The prevalence of multimorbidity in primary care: a comparison of two definitions of multimorbidity with two different lists of chronic conditions in Singapore
title_fullStr The prevalence of multimorbidity in primary care: a comparison of two definitions of multimorbidity with two different lists of chronic conditions in Singapore
title_full_unstemmed The prevalence of multimorbidity in primary care: a comparison of two definitions of multimorbidity with two different lists of chronic conditions in Singapore
title_sort prevalence of multimorbidity in primary care: a comparison of two definitions of multimorbidity with two different lists of chronic conditions in singapore
publisher BMC
series BMC Public Health
issn 1471-2458
publishDate 2021-07-01
description Abstract Background The prevalence of multimorbidity varies widely due to the lack of consensus in defining multimorbidity. This study aimed to measure the prevalence of multimorbidity in a primary care setting using two definitions of multimorbidity with two different lists of chronic conditions. Methods We conducted a cross-sectional study of 787,446 patients, aged 0 to 99 years, who consulted a family physician between July 2015 to June 2016. Multimorbidity was defined as ‘two or more’ (MM2+) or ‘three or more’ (MM3+) chronic conditions using the Fortin list and Chronic Disease Management Program (CDMP) list of chronic conditions. Crude and standardised prevalence rates were reported, and the corresponding age, sex or ethnic-stratified standardised prevalence rates were adjusted to the local population census. Results The number of patients with multimorbidity increased with age. Age-sex-ethnicity standardised prevalence rates of multimorbidity using MM2+ and MM3+ for Fortin list (25.9, 17.2%) were higher than those for CDMP list (22.0%; 12.4%). Sex-stratified, age-ethnicity standardised prevalence rates for MM2+ and MM3+ were consistently higher in males compared to females for both lists. Chinese and Indians have the highest standardised prevalence rates among the four ethnicities using MM2+ and MM3+ respectively. Conclusions MM3+ was better at identifying a smaller number of patients with multimorbidity requiring higher needs compared to MM2+. Using the Fortin list seemed more appropriate than the CDMP list because the chronic conditions in Fortin’s list were more commonly seen in primary care. A consistent definition of multimorbidity will help researchers and clinicians to understand the epidemiology of multimorbidity better.
topic Multimorbidity
Prevalence
Age
Sex
Ethnicity
Primary care
url https://doi.org/10.1186/s12889-021-11464-7
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