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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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 |
work_keys_str_mv |
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