Evidence map›Paper›PMID 39504022›Full record

ArticleJAMA network open2024

Regional Disparities, Economic Development, and Neonatal Mortality and Hospital Delivery in China.

Hai Fang, Haijun Zhang, Arturo Vargas Bustamante, Shusheng Luo, Xi Chen, Yanqiu Gao, Jianmeng Liu

Abstract read
In one paragraph

Article in JAMA network open, 2024. 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. Review
  3. Observational
  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

7 authors.

Hai FangChina Center for Health Development Studies, Peking University, Beijing, China.
Haijun ZhangChina Center for Health Development Studies, Peking University, Beijing, China.
Arturo Vargas BustamanteDepartment of Health Policy and Management, Fielding School of Public Health, University of California Los Angeles, Los Angeles.
Shusheng LuoDepartment of Maternal and Child Health, School of Public Health, Peking University, Beijing, China.
Xi ChenDepartment of Health Policy and Management, Yale School of Public Health, New Haven, Connecticut.
Yanqiu GaoDepartment of Maternal and Child Health, School of Public Health, Peking University, Beijing, China.
Jianmeng LiuInstitute of Reproductive and Child Health/National Health Commission Key Laboratory of Reproductive Health, Peking University School of Public Health, Beijing, China.

Funding

Yale Study Support Suite (YES3): Dashboard and Web Portal Software Supporting Research Workflow through integrated, customizable REDCap External ModulesP30AG021342 · NIA · YALE UNIVERSITY · PI Lauren Ferrante · 2002 to 2026
$37.9M
NIA NIH HHS P30 AG021342
6 · The paper itself

Abstract

Importance: A negative association between neonatal mortality and hospital delivery has been found in some low- and lower-middle-income countries but not in rural settings characterized by poor quality of maternal and child health care. Objective: To examine the association between neonatal mortality and hospital delivery in China across urban and rural regions, regional disparities, and varying levels of economic development. Design, Setting, and Participants: This retrospective cohort study used county-level data from 2008 to 2020 from the National Maternal & Child Health Statistics across mainland China. Statistical analysis was conducted from March to December 2023. Exposures: Since 2008, China has strategically leveraged hospital deliveries with national subsidies to diminish neonatal mortality, particularly in rural areas. Main Outcomes and Measures: Neonatal mortality and hospital delivery rates were calculated, and their association was estimated using multivariable fixed-effects linear models of county-level cohort data to adjust for time-invariant differences across counties and controls for gross domestic product (GDP) per capita, women's years of education, hospital beds, and health workers. Results: The analysis included data from 2930 counties, with 198.7 million live births across 36 255 county-year records between 2008 and 2020. The mean (SD) neonatal mortality rate per 1000 live births decreased in rural areas from 12.3 (7.5) in 2008 to 3.9 (2.7) in 2020 and decreased in urban areas from 5.0 (3.1) in 2008 to 2.0 (1.3) in 2020. Hospital delivery rates increased in rural areas from a mean (SD) of 93.4% (11.8%) in 2008 to 99.9% (0.6%) in 2020 and increased in urban areas from 97.7% (6.1%) in 2008 to 100.0% (0.1%) in 2020. In rural areas, an increase of 10 percentage points in hospital deliveries was associated with a neonatal mortality rate of -1.4 (95% CI, -1.9 to -1.0; P < .001) per 1000 live births, whereas this negative association was not observed in urban areas. When the analysis was stratified by regions and incomes, the negative association became considerably stronger in the western and central regions of China, as well as in counties with lower GDP per capita. Conclusions and Relevance: This cohort study of more than 2900 counties in China suggests that an increase in hospital deliveries was associated with reduced neonatal mortality in rural and economically underdeveloped areas in China. To further reduce neonatal mortality and improve newborn health, it is imperative to increase the accessibility of hospital delivery services.

Indexed as

Delivery, ObstetricInfant MortalityRural PopulationAdultChinaEconomic DevelopmentFemaleHealthcare DisparitiesHumansInfantInfant, NewbornPregnancyRetrospective StudiesUrban Population

Identifiers

PMID39504022
PMCPMC11541646

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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.