Evidence map›Paper›PMID 38526553›Full record

ArticleJMIR pediatrics and parenting2024

Provincial Maternal and Child Information System in Inner Mongolia, China: Descriptive Implementation Study.

Yiwei Yan, Congyan Xing, Jian Chen, Yingbin Zheng, Xiaobin Li, Yirong Liu, Zhanxiang Wang, Kai Gong

Abstract read
In one paragraph

Article in JMIR pediatrics and parenting, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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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

1 citing paper in PubMed.

  1. 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

8 authors.

Yiwei Yan *Biomedical Big Data Center, The First Affiliated Hospital of Xiamen University, Xiamen, China.ORCID https://orcid.org/0000-0002-1702-9139
Congyan Xing *Equipment and Materials Department, The First Affiliated Hospital of Xiamen University, Xiamen, China.ORCID https://orcid.org/0009-0005-8267-1880
Jian ChenZoe Soft Corp Ltd, Xiamen, China.ORCID https://orcid.org/0000-0002-7207-1751
Yingbin ZhengBiomedical Big Data Center, The First Affiliated Hospital of Xiamen University, Xiamen, China.ORCID https://orcid.org/0000-0002-2122-7867
Xiaobin LiZoe Soft Corp Ltd, Xiamen, China.ORCID https://orcid.org/0009-0005-9488-5173
Yirong LiuSchool of Health Management, Fujian Medical University, Fuzhou, China.ORCID https://orcid.org/0009-0005-1301-2478
Zhanxiang WangBiomedical Big Data Center, The First Affiliated Hospital of Xiamen University, Xiamen, China.ORCID https://orcid.org/0000-0003-0405-6194
Kai GongBiomedical Big Data Center, The First Affiliated Hospital of Xiamen University, Xiamen, China.ORCID https://orcid.org/0000-0001-8543-0090

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAfter the implementation of 2- and 3-child policies, the rising proportion of high-age and high-risk pregnancies put enormous pressure on maternal and child health (MCH) services for China. This populous nation with an increasing population flow imperatively required the support of large-scale information systems for management. Municipal MCH information systems were commonly applied in developed cities of eastern provinces in China. However, implementation of provincial MCH information systems in relatively low-income areas is lacking. In 2020, the implementation of a regional maternal and child information system (RMCIS) in Inner Mongolia filled this gap.

objectiveThis paper aimed to demonstrate the construction process and evaluate the implementation effect of an RMCIS in improving the regional MCH in Inner Mongolia.

methodsWe conducted a descriptive study for the implementation of an RMCIS in Inner Mongolia. Based on the role analysis and information reporting process, the system architecture design had 10 modules, supporting basic health care services, special case management, health support, and administration and supervision. Five-color management was applied for pregnancy risk stratification. We collected data on the construction cost, key characteristics of patients, and use count of the main services from January 1, 2020, to October 31, 2022, in Inner Mongolia. Descriptive analysis was used to demonstrate the implementation effects of the RMCIS.

resultsThe construction and implementation of the RMCIS cost CNY 8 million (US $1.1 million), with a duration of 13 months. Between 2020 and 2022, the system recorded 221,772 registered pregnant women, with a 44.75% early pregnancy registry rate and 147,264 newborns, covering 278 hospitals and 225 community health care centers in 12 cities. Five-color management of high-risk pregnancies resulted in 76,975 (45.45%) pregnancies stratified as yellow (general risk), 36,627 (21.63%) as orange (relatively high risk), 156 (0.09%) as red (high risk), and 3888 (2.30%) as purple (infectious disease). A scarred uterus (n=28,159, 36.58%), BMI≥28 (n=14,164, 38.67%), aggressive placenta praevia (n=32, 20.51%), and viral hepatitis (n=1787, 45.96%) were the top factors of high-risk pregnancies (yellow, orange, red, and purple). In addition, 132,079 pregnancies, including 65,018 (49.23%) high-risk pregnancies, were registered in 2022 compared to 32,466 pregnancies, including 21,849 (67.30%) high-risk pregnancies, registered in 2020.

conclusionsThe implementation of an RMCIS in Inner Mongolia achieved the provincial MCH data interconnection for basic services and obtained both social and economic benefits, which could provide valuable experience to medical administration departments, practitioners, and medical informatics constructors worldwide.

Indexed as

information systemInner Mongolia Autonomous Regionmaternal and child health careregional healthsystem constructionsystem implementation

Identifiers

PMID38526553
PMCPMC11002736

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LicenceCC BY
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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.