Evidence map›Paper›PMID 39061022›Full record

ArticleBMC public health2024

Validity of the Chinese multimorbidity-weighted index in measuring disease burden using health check-ups data in primary care.

Ying-Si Lai, Xin-Yuan Gao, Wei-Hua Hu, Yi-Xuan Liu, Yong-Jin Zhang, Jia-Cong Liu, Chun Yang, Jing Liao

Abstract readValidation Study
In one paragraph

Article in BMC public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Ying-Si Lai *Department of Medical Statistics, School of Public Health, Sun Yat-sen University, Guangzhou, P.R. China.
Xin-Yuan Gao *Department of Medical Statistics, School of Public Health, Sun Yat-sen University, Guangzhou, P.R. China.
Wei-Hua Hu *Department of Medical Statistics, School of Public Health, Sun Yat-sen University, Guangzhou, P.R. China.
Yi-Xuan LiuDepartment of Medical Statistics, School of Public Health, Sun Yat-sen University, Guangzhou, P.R. China.
Yong-Jin ZhangDepartment of Medical Statistics, School of Public Health, Sun Yat-sen University, Guangzhou, P.R. China.
Jia-Cong LiuDepartment of Chronic Disease Prevention and Treatment and Health Education, Huangpu District Center for Disease Control and Prevention, Guangzhou, P.R. China.
Chun YangDepartment of Chronic Disease Prevention and Treatment and Health Education, Huangpu District Center for Disease Control and Prevention, Guangzhou, P.R. China.
Jing LiaoDepartment of Medical Statistics, School of Public Health, Sun Yat-sen University, Guangzhou, P.R. China. liaojing5@mail.sysu.edu.cn.

Funding

the CMB Open Competition Program 17-274the National Natural Science Foundation of China 82073665the UK-China Health and Social Challenges Ageing Project 72061137003, ES/T014377/1
6 · The paper itself

Abstract

backgroundAs multimorbidity becomes common that imposes a considerable burden to patients, but the extent to which widely-used multimorbidity indexes can be applied to quantify disease burden using primary care data in China is not clear. We applied the Chinese Multimorbidity-Weighted Index (CMWI) to health check-ups data routinely collected among older adults by primary care, to examine its validity in measuring multimorbidity associated risks of disability and mortality in annual follow-ups.

methodsThe study utilized data from annual health check-ups of older adults, which included information on individual age, sex, and 14 health conditions at primary care in a district of Guangzhou, Guangdong, China. The risk of CMWI for mortality was analysed in a total sample of 45,009 persons 65 years and older between 2014 and 2020 (average 2.70-year follow-up), and the risk for disability was in a subsample of 18,320 older adults free of physical impairment in 2019 and followed-up in 2020. Risk of death and disability were assessed with Cox proportional hazard regression and binary logistic regression, respectively, with both models adjusted for age and sex variables. The model fit was assessed by the Akaike information criterion (AIC), and C-statistic or the area under the receiver operating characteristic curve (AUC).

resultsOne unit increase in baseline-CMWI (Median= 1.70, IQR: 1.30-3.00) was associated with higher risk in subsequent disability (OR = 1.12, 95%CI = 1.05,1.20) and mortality (OR = 1.18, 95%CI = 1.14, 1.22). Participants in the top tertile of CMWI had 99% and 152% increased risks of disability and mortality than their counterparts in the bottom tertile. Model fit was satisfied with adequate AUC (0.84) or C-statistic (0.76) for both outcomes.

conclusionsCMWI, calculated based on primary care's routine health check-ups data, provides valid estimates of disability and mortality risks in older adults. This validated tool can be used to quantity and monitor older patients' health risks in primary care.

Indexed as

MultimorbidityPrimary Health CareAgedAged, 80 and overChinaCost of IllnessEast Asian PeopleFemaleHumansMalePhysical ExaminationReproducibility of ResultsChinese multimorbidity-weighted indexHealth check-ups dataPrimary care

Identifiers

PMID39061022
PMCPMC11282735

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.