Evidence map›Paper›PMID 31566034›Full record

ArticleThe Journal of international medical research2020

Rural-urban disparities in caesarean section rates in minority areas in China: evidence from electronic health records.

Lili Kang, Hai Gu, Shangyuan Ye, Biao Xu, Kangzhen Jing, Ning Zhang, Bo Zhang

Abstract read
In one paragraph

Article in The Journal of international medical research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 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

7 authors.

Lili KangCentre for Health Policy and Management Studies, Nanjing University, Nanjing, Jiangsu Province, China.
Hai GuCentre for Health Policy and Management Studies, Nanjing University, Nanjing, Jiangsu Province, China.
Shangyuan YeDepartment of Population and Quantitative Health Sciences, University of Massachusetts Medical School, Worcester, MA, USA.
Biao XuCentre for Health Policy and Management Studies, Nanjing University, Nanjing, Jiangsu Province, China.
Kangzhen JingDepartment of Medical Affairs, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, Jiangsu Province, China.
Ning ZhangDepartment of Health Policy and Management, School of Public Health and Health Sciences, University of Massachusetts, Amherst, MA, USA.
Bo ZhangDepartment of Population and Quantitative Health Sciences, University of Massachusetts Medical School, Worcester, MA, USA.ORCID https://orcid.org/0000-0003-1574-198X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo assess the rural-urban disparity in caesarean section rates using electronic health records from hospitals located in the Province of Inner Mongolia, which is a minority area in Northeastern China.

methodsThe study examined the electronic health records of women that gave birth in three major public hospitals between January 2012 and December 2016. Multinomial regression analyses were used to estimate rural-urban disparities in caesarean section rates.

resultsData from 61 903 women were examined. Caesarean section rates increased slightly over the study period and the rate was significantly higher in rural compared with urban hospitals (48% versus 38%). This disparity consistently increased over time. Multinomial regression analyses showed that maternal age, ethnicity, health insurance type, employment status, reproductive history and the newborn's sex were significant risk factors associated with caesarean section rate. Furthermore, stratified analysis of first-time pregnancies, minorities and different age groups showed that the odds of undergoing an emergency caesarean section was lower in the rural hospital, but the odds of undergoing a planned caesarean section was higher in the rural hospital.

conclusionsCaesarean section rates have increased in rural areas and the disparity in rural-urban areas has increased substantially over the years.

Indexed as

Cesarean SectionElectronic Health RecordsChinaFemaleHumansInfant, NewbornParturitionPregnancyRural PopulationCaesarean sectionChinahospitalminority areasnewbornrural–urban disparityvaginal delivery

Identifiers

PMID31566034
PMCPMC7607187

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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.