Evidence map›Paper›PMID 32349689›Full record

ArticleBMC family practice2020

Examining health disparities and characteristics in general practice utilization: based on outpatient data from 2014 - 2018 in Shanghai.

Jianwei Shi, Chunhua Chi, Xin Gong, Chen Chen, Wenya Yu, Jiaoling Huang, Liang Zhou, Ning Chen, Yan Yang, Qian Liu and 1 more

Abstract read
In one paragraph

Article in BMC family practice, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

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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

11 authors.

Jianwei ShiSchool of Public Health, Shanghai Jiaotong University School of Medicine, 227 South Chongqing Rd, Shanghai, 200025, China.
Chunhua ChiGeneral Practice Department, Peking University First Hospital, Beijing, 100034, China.
Xin GongSchool of Medicine, Tongji University, Shanghai, 200092, China.
Chen ChenPengpuxincun Community Health Service Center, Jingan District, Shanghai, 200080, China.
Wenya YuSchool of Public Health, Shanghai Jiaotong University School of Medicine, 227 South Chongqing Rd, Shanghai, 200025, China.
Jiaoling HuangSchool of Public Health, Shanghai Jiaotong University School of Medicine, 227 South Chongqing Rd, Shanghai, 200025, China.
Liang ZhouSchool of Public Health, Shanghai Jiaotong University School of Medicine, 227 South Chongqing Rd, Shanghai, 200025, China.
Ning ChenSchool of Medicine, Tongji University, Shanghai, 200092, China.
Yan YangSchool of Economics & Management, Tongji University, Shanghai, 200092, China.
Qian LiuSchool of Economics & Management, Tongji University, Shanghai, 200092, China.
Zhaoxin WangSchool of Public Health, Shanghai Jiaotong University School of Medicine, 227 South Chongqing Rd, Shanghai, 200025, China. supercell002@sina.com.

Funding

National Key R&D Program of China 2018YFC2000700Natural Science Foundation of China 71603182Natural Science Foundation of China 71774116Shanghai Excellent Young Talents Project in Health System 2018YQ52Shanghai Pujiang Program 2019PJC072
6 · The paper itself

Abstract

backgroundSince 2000, China has been developing primary care institutions to serve as the gateway to the healthcare system. However, the investment of resources in primary care institutions is not based on the actual medical demands of the public. This study analysed primary care utilization to provide targeted guidance for the improvement of primary healthcare delivery in China.

methodsWe extracted outpatient visit data from all community healthcare centres in Shanghai from 2014 to 2018. Diseases were then classified according to ICD-10 codes. The disease spectrum (frequency, proportion, rank) was stratified by sex, age, and region.

resultsMost primary care outpatients were female (58.20%), 60-79 years old (57.91%), and in suburban regions (62.18%). Chronic diseases accounted for the majority (91.41%). Hypertension, chronic ischaemic heart disease, diabetes, and acute upper respiratory tract infections were the top four disorders for primary care visits regardless of sex. In the group aged 0-18 years, symptoms, signs and abnormal clinical and laboratory findings not elsewhere classified accounted for 37.96% of the top 20 reasons. Acute upper respiratory tract infections were the most common diseases in the groups aged 0-18 (11.20%) and 19-39 (11.14%) years. However, hypertension was the most common disease in the group aged > 39 years old (> 20%). There were more outpatients with respiratory and digestive diseases in suburban areas than in urban areas. In addition, problems associated with medical equipment and other healthcare deficiencies were relatively more common in suburban areas (suburban: 4.13%, rank 5; urban: 2.29%, rank 10).

conclusionsTo meet the patients' needs and to develop the primary care system, the Shanghai government should focus on diseases with regionally high proportions. Disease diagnosis and treatment should be improved in the younger and suburban populations.

Indexed as

EpidemiologyHealth Status DisparitiesAdolescentAdultAgedAged, 80 and overChildChild, PreschoolChinaFemaleGeneral PracticeHumansInfantInfant, NewbornMaleMiddle AgedCommunity healthDiseaseEvidence-based

Identifiers

PMID32349689
PMCPMC7190008

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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.