Evidence map›Paper›PMID 39122391›Full record

ArticleBMJ open2024

Analysis of the current situation and demand for perinatal education in pregnant women in general grade A tertiary hospitals in China: a cross-sectional survey.

Jie Shen, Yue Zhang, Jinli Xu, Shenxian Wan, Meie Niu, Youguo Chen, Qin Huang, Mochun Que, Aiying Jin

Abstract read
In one paragraph

Article in BMJ open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 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

9 authors.

Jie Shen *Department of Obstetrics and Gynecology, First Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China.
Yue Zhang *Department of Intensive Care Unit, Tianjin Medical University General Hospital, Tianjin, China.ORCID 0000-0002-5452-7284
Jinli XuDepartment of Obstetrics and Gynecology, First Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China.
Shenxian WanDepartment of Obstetrics and Gynecology, First Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China.
Meie NiuDepartment of Nursing, First Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China.
Youguo ChenDepartment of Obstetrics and Gynecology, First Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China.
Qin HuangDepartment of Obstetrics and Gynecology, First Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China.
Mochun QueDepartment of Physiology and Neurobiology, Soochow University Medical College, Suzhou, Jiangsu, China aiyingjin@163.com quemochun@163.com.
Aiying JinDepartment of Nursing, First Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China aiyingjin@163.com quemochun@163.com.ORCID 0000-0003-2311-2227

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThis study aimed to assess the factors influencing pregnant women's participation in perinatal education and their demand for educational courses.

designA cross-sectional study.

settingTertiary hospital in Suzhou, China, July-September 2022.

participantsPregnant women from a general grade A tertiary hospital in Suzhou were recruited via online survey invitations during the specified period. MEASURES: A self-designed scale was used to evaluate pregnant women's demand for perinatal education. Multiple response sets were employed for the assessment of multiple-choice items and analyses included frequency and cross-tabulation. Logistic regression analysis was conducted to assess the factors influencing pregnant women's participation in perinatal education. OUTCOME: The primary outcome measured was the demand for perinatal education among pregnant women.

resultsA majority (53.8%) of pregnant women expressed a preference for a mixed teaching mode combining online and offline formats. Logistic regression analysis showed that education level significantly influenced pregnant women's participation in online learning. Specifically, women with higher education levels were more likely to participate actively in online courses. Additionally, compared with those with first-born children, pregnant women with second-born children participated less actively in online learning. Pregnant women in their second and third trimesters showed greater engagement in online learning compared with those in their first trimester.

conclusionsThese findings indicate that Chinese pregnant women's preferences for perinatal education are influenced by their educational background, pregnancy history and the mode of teaching employed. The variability in educational needs underscores the importance of regularly updating course content based on participant feedback.

Indexed as

Pregnant PeopleTertiary Care CentersAdultChinaCross-Sectional StudiesEducational StatusFemaleHumansLogistic ModelsPerinatal CarePregnancyPrenatal EducationSurveys and QuestionnairesYoung AdultHealth EducationNursing CareObservational StudyPERINATOLOGY

Identifiers

PMID39122391
PMCPMC11332011

What OpenQuestion holds

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LicenceCC BY-NC
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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.