Evidence map›Paper›PMID 37022716›Full record

ArticleJournal of global health2023

Hospital variations in caesarean delivery rates: An analysis of national data in China, 2016-2020.

Shaohua Yin, Yubo Zhou, Pengbo Yuan, Yuan Wei, Lian Chen, Xiaoyue Guo, Hongtian Li, Jie Lu, Lin Ge, Huifeng Shi and 6 more

Open access · goldAbstract read
In one paragraph

Article in Journal of global health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
3.0field-weighted citation impact, top 9% 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

9 citing papers in PubMed, 10 citations in OpenAlex.

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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

16 authors at 4 institutions in 1 country.

Shaohua YinDepartment of Obstetrics and Gynecology, Peking University Third Hospital, Beijing, China.
Yubo ZhouInstitute of Reproductive and Child Health, Peking University Health Science Centre, Beijing, China.
Pengbo YuanDepartment of Obstetrics and Gynecology, Peking University Third Hospital, Beijing, China.
Yuan WeiDepartment of Obstetrics and Gynecology, Peking University Third Hospital, Beijing, China.
Lian ChenDepartment of Obstetrics and Gynecology, Peking University Third Hospital, Beijing, China.
Xiaoyue GuoDepartment of Obstetrics and Gynecology, Peking University Third Hospital, Beijing, China.
Hongtian LiInstitute of Reproductive and Child Health, Peking University Health Science Centre, Beijing, China.
Jie LuDepartment of Obstetrics and Gynecology, Peking University Third Hospital, Beijing, China.
Lin GeDepartment of Obstetrics and Gynecology, Peking University Third Hospital, Beijing, China.
Huifeng ShiDepartment of Obstetrics and Gynecology, Peking University Third Hospital, Beijing, China.
Xiaoxia WangDepartment of Obstetrics and Gynecology, Peking University Third Hospital, Beijing, China.
Luyao LiDepartment of Obstetrics and Gynecology, Peking University Third Hospital, Beijing, China.
Jie QiaoDepartment of Obstetrics and Gynecology, Peking University Third Hospital, Beijing, China.
Dunjin ChenDepartment of Obstetrics and Gynecology, the Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
Jianmeng LiuInstitute of Reproductive and Child Health, Peking University Health Science Centre, Beijing, China.
Yangyu ZhaoDepartment of Obstetrics and Gynecology, Peking University Third Hospital, Beijing, China.
Peking University Third Hospital · CNPeking University · CNNational Health and Family Planning Commission · CNGuangzhou Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The impact of China's use of caesarean delivery on global public health has been a long-term concern. The number of private hospitals is increasing in China and likely driving up caesarean delivery rates, yet specifics remain unknown. We aimed to investigate variations in caesarean delivery rates across and within hospital types in China. Methods: We retrieved data on hospital characteristics and national hospital-level annually aggregated data on the number of deliveries and caesarean deliveries from 2016-2020, covering 7085 hospitals in 31 provinces of mainland China, from the National Clinical Improvement System. We categorized hospitals as public-non-referral (n = 4103), public-referral (n = 1805) and private (n = 1177). Among the private hospitals, 89.1% (n = 1049) were non-referral regarding obstetrical services for uncomplicated pregnancies. Results: Among 38 517 196 deliveries, 16 744 405 were caesarean, giving an overall rate of 43.5% with a minor range of 42.9%-43.9% over time. Median rates differed across hospital types, from 47.0% (interquartile range (IQR) = 39.8%-55.9%) in public-referral, 45.8% (36.2%-55.8%) in private, and 40.3% (30.6%-50.6%) in public-non-referral hospitals. The stratified analyses corroborated the results, except for the northeastern region, where the median rates did not differ across the public-non-referral (58.9%), public-referral (59.3%), and private (58.8%) hospitals, while all ranked higher than the other regions, regardless of hospital type and urbanization levels. The rates within hospital types differed as well, especially in the rural areas of the western region of China, where the difference of rates between the 5th and 95th percentiles was 55.6% (IQR = 4.9%-60.5%) in public-non-referral, 51.5% (IQR = 19.6%-71.1%) in public-referral, and 64.6% (IQR = 14.8%-79.4%) in private hospitals. Conclusions: Variation across hospital types in China was pronounced, with the highest rates either in public-referral or private hospitals, except in the northeastern region, where no variation was observed among the high rates of caesarean deliveries. Variation within each hospital type was pronounced, especially in rural areas of the western region.

Indexed as

Cesarean SectionHospitals, PublicChinaFemaleHumansPregnancy

Identifiers

PMID37022716
PMCPMC10078857
OpenAlexW4362657534

What OpenQuestion holds

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LicenceCC BY
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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.