Evidence map›Paper›PMID 36198446›Full record

Observational studyBMJ open2022

Patterns of multimorbidity in community health centres in Shanghai, China: a retrospective, cross-sectional study based on outpatient data from 2014 to 2018.

Hua Jin, Zhaoxin Wang, Aizhen Guo, Hanzhi Zhang, Wei Liu, Yuqin Zhu, Ming Hua, Jianjun Shi, Jianwei Shi, Dehua Yu

Abstract readObservational Study
In one paragraph

Observational study in BMJ open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
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

10 authors.

Hua JinDepartment of General Practice,Clinical Research Center for General Practice, Yangpu Hospital,School of Medicine,Tongji University, Shanghai, China.ORCID 0000-0002-9735-0335
Zhaoxin WangShanghai General Practice and Community Health Development Research Center, Shanghai, China.ORCID 0000-0002-5022-4497
Aizhen GuoDepartment of General Practice,Clinical Research Center for General Practice, Yangpu Hospital,School of Medicine,Tongji University, Shanghai, China.
Hanzhi ZhangDepartment of General Practice,Clinical Research Center for General Practice, Yangpu Hospital,School of Medicine,Tongji University, Shanghai, China.
Wei LiuHuangpu District Dapuqiao Community Health Center, Shanghai, China.
Yuqin ZhuDepartment of Emergency, Yangpu Hospital, School of Medicine, Tongji University, Shanghai, China.
Ming HuaJing'an District Daning Community Health Center, Shanghai, China.
Jianjun ShiDepartment of General Practice,Clinical Research Center for General Practice, Yangpu Hospital,School of Medicine,Tongji University, Shanghai, China.
Jianwei ShiDepartment of Social Medicine and Health Management, School of Public Health,Shanghai Jiaotong University School of Medicine, Shanghai, China shgprc@yeah.net shijianwei_amy@126.com.ORCID 0000-0002-3523-6246
Dehua YuDepartment of General Practice,Clinical Research Center for General Practice, Yangpu Hospital,School of Medicine,Tongji University, Shanghai, China shgprc@yeah.net shijianwei_amy@126.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveCaring for patients with multimorbidity is an important part of primary care. It has become increasingly relevant that understanding the spectrum of multimorbidity will help general practitioners (GPs) acquire working knowledge and improve management skills. However, there was little research on characteristics of multimorbidity in primary care in China. This study aimed to identify the spectrum of frequency, proportion and ranking of multimorbidity patterns in adult patients seen at community health centres (CHCs) in Shanghai, China. DESIGN AND

settingThis was an observational, retrospective, cross-sectional study analysis of outpatient data of 244 CHCs in Shanghai, China.

participantsAdult patients with chronic disease who visited Shanghai CHCs during 2014-2018 were selected from Shanghai CHC electronic medical records database using the International Classification of Diseases 10th Revision codes matched to the Second Version of International Classification of Primary Care codes. PRIMARY AND SECONDARY OUTCOME MEASURES: A number of adult patients with chronic disease were counted. Then frequency, proportion and rank of disease patterns of multimorbidity were analysed.

resultsAnalysis of 301 651 158 electronic health records of 5 909 280 adult patients (54.2% females) found the multimorbidity proportion to be 81.2%. The prevalence of multimorbidity increased with age, which climbed from 43.7% among those aged 19-34 to 94.9% among those more than 80 years of age. The proportion of multimorbidity was higher in females (83.2%) than males (79.7%). Vascular and metabolic diseases were the most frequent diseases for patients over 45 years old.

conclusionsMultimorbidity has brought huge challenges to primary care practice in Shanghai. The Shanghai government should strengthen its support for the multitargeted prevention of chronic diseases and the improvement of GPs' management capabilities.

Indexed as

MultimorbidityOutpatientsAdultAged, 80 and overChinaChronic DiseaseCommunity Health CentersCross-Sectional StudiesFemaleHumansMaleMiddle AgedRetrospective Studiesepidemiologyprimary carepublic health

Identifiers

PMID36198446
PMCPMC9535180

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Registered trials

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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.