Evidence map›Paper›PMID 36944960›Full record

ArticleBMC public health2023

Prevalence, patterns of multimorbidity and associations with health care utilization among middle-aged and older people in China.

Yaqin Zhong, Gang Qin, Hanqing Xi, Duanying Cai, Yanan Wang, Tiantian Wang, Yuexia Gao

Open access · goldFull text read
In one paragraph

Article in BMC public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 54 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
54citing papers in PubMed, 1 pooled it
14.6field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

54 citing papers in PubMed, 1 synthesis or guideline pooled it, 68 citations in OpenAlex.

  1. How to assess multimorbidity: a systematic review.Frontiers in public health · 2025
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 2 institutions in 1 country.

Yaqin Zhong *School of Public Health, Nantong University, 9 Se-yuan Road, Nantong, Jiangsu, 210029, China.
Gang Qin *Clinical Trial Center, Affiliated Hospital of Nantong University, 20 Xi-Si Road, Nantong, Jiangsu, 226001, China.
Hanqing XiSchool of Medicine, Nantong University, 9 Qixiu Road, Nantong, Jiangsu, 226019, China.
Duanying CaiSchool of Nursing, Jiujiang University, 551 Qianjin Dong Road, Jiujiang, Jiangxi Province, 332005, China.
Yanan WangSchool of Public Health, Nantong University, 9 Se-yuan Road, Nantong, Jiangsu, 210029, China.
Tiantian WangSchool of Public Health, Nantong University, 9 Se-yuan Road, Nantong, Jiangsu, 210029, China.
Yuexia GaoSchool of Public Health, Nantong University, 9 Se-yuan Road, Nantong, Jiangsu, 210029, China. yxgao@ntu.edu.cn.
Nantong University · CNJiujiang University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMultimorbidity has become one of the main challenges in health care system. The association between prevalence, patterns of multimorbidity and health care utilization is less often discussed in China. The purpose of this study is to examine this association among Chinese middle-aged and older adults and take into account different sociodemographic, behavioral and health characteristics. Based on this, implications of current evidence and effective intervention on multimorbidity and health care utilization can be identified and put into practice.

methodsThe wave 4 in 2018 of the China Health and Retirement Longitudinal Study (CHARLS) was used in the study. Multimorbidity was defined as the co-occurrence of two or more chronic medical condition of a list of fourteen chronic diseases in one person. The presence of chronic diseases was assessed through self-report. Health care utilization include whether the respondents received outpatient service last month and inpatient service in the past year. Latent Class Analysis was conducted to identify the clustering pattern of chronic diseases. Logistic regressions were employed to explore the association between prevalence, patterns of multimorbidity and health care utilization. Analyses were weighted using individual sample weights, adjusted for non-response of individual and household.

resultsAmong 19,559 participants aged 45 and older, 23.10% were aged above 70 years and 52.42% were female. The prevalence of multimorbidity was 56.73%. Four patterns were identified: relatively healthy class, respiratory class, stomach-arthritis class and vascular class. Multimorbid individuals used more outpatient services (OR = 1.89, 95%CI = 1.65-2.17) and more inpatient services (OR = 2.52, 95%CI = 2.22-2.86) compared to their no-multimorbid counterparts. Compared to relatively healthy class, the respondents classified into respiratory class, stomach-arthritis class and vascular class used more outpatient services (OR = 1.90, 95%CI = 1.57-2.30; OR = 2.39, 95%CI = 2.06-2.78; OR = 1.53, 95%CI = 1.32-1.79 respectively) and more inpatient services (OR = 2.19, 95%CI = 1.83-2.62; OR = 2.93, 95%CI = 2.53-3.40; OR = 1.90, 95%CI = 1.65-2.19 respectively).

conclusionOur study provided evidence that multimorbidity is high among Chinese older adults and is associated substantially higher health care utilization in China. Four multimorbidity patters were identified. Policy should prioritize improving the management of individuals with multimorbidity to increase healthcare efficiency. Further research is necessary with special emphasis on the trajectory of multimorbidity and the role of health system in satisfying needs of multimorbid individuals.

Indexed as

ArthritisMultimorbidityAgedChinaChronic DiseaseDelivery of Health CareFemaleHumansLongitudinal StudiesMaleMiddle AgedPatient Acceptance of Health CarePrevalenceChina Health and Retirement Longitudinal StudyChronic diseaseHealth care utilizationMultimorbidity

Identifiers

PMID36944960
PMCPMC10031889
OpenAlexW4353016724

What OpenQuestion holds

Textfull text, public
LicenceCC BY
measurements read117
Read underepoch 390

Registered trials

None linked

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.