Evidence map›Paper›PMID 40457342›Full record

ArticleBMC public health2025

The cost of antenatal care in Beijing: a cross-sectional study.

ZiQi Zhang, Yu Shao, WenLin Ma, Qun Gao, Bo Song, ShuiLing Qu, AiLing Wang

Abstract read
In one paragraph

Article in BMC public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

ZiQi ZhangChinese Center for Disease Control and Prevention, Beijing, 102206, China.
Yu ShaoHaidian District Maternal and Child Health Care Hospital, Beijing, 100080, China.
WenLin MaChangping District Maternal and Child Health Care Hospital, Beijing, 102206, China.
Qun GaoNational Center for Women and Children's Health, NHC, Beijing, 100081, China.
Bo SongNational Center for Women and Children's Health, NHC, Beijing, 100081, China.
ShuiLing QuChinese Center for Disease Control and Prevention, Beijing, 102206, China.
AiLing WangNational Center for Women and Children's Health, NHC, Beijing, 100081, China.

Funding

Graduate education program 131031001000181065
6 · The paper itself

Abstract

backgroundMedical and non-medical expenses could be incurred during antenatal care, however, few studies about it in Beijing were found. Hence, this study assesses the cost of antenatal care in Beijing and explores it's influencing factors, aiming to inform targeted strategies.

methodsA cross-sectional study was conducted in Beijing from October 14 to December 16, 2024. A cluster sampling technique was used to select subjects. Data were collected through an in-person questionnaire. The cost of antenatal care includes direct costs and indirect costs. The demographic characteristics were statistically described. Univariate analysis and quantile regression model were applied.

resultsA total of 253 pregnant women in Beijing were recruited in this study, and the cost of antenatal care was USD 2,198. The results of the univariate analysis showed statistically significant differences between antenatal cost and pregnant women's age, family size, gravidity, parity, pregnancy complication, whether or not to hire caregivers, whether the caregiver missed work or not and outpatient visits times (P < 0.05). The results of the quantile regression modeling showed that age, pregnancy complications, whether or not to hire caregivers, whether the caregiver missed work or not, and outpatient visits times can affect the cost of antenatal care at one or more quantiles (P < 0.05).

conclusionThere are high proportion of direct medical costs. It is suggested that reducing the lost wages of pregnant women and caregivers by increasing leaves for them, and controlling complications to alleviate the financial burden of pregnancy.

Indexed as

Health Care CostsPrenatal CareAdultBeijingCross-Sectional StudiesFemaleHumansPregnancySurveys and QuestionnairesYoung AdultBeijing areaCost of antenatal careInfluencing factorsQuantile regression model

Identifiers

PMID40457342
PMCPMC12128493

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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.