Evidence map›Paper›PMID 40764632›Full record

ArticleScientific reports2025

Father-inclusive chatbot-based prenatal education during COVID-19 pandemic enhances maternal-fetal attachment in Korean primigravida women across levels of partner support.

Kyungmi Chung, Kyungun Jhung, Hee Young Cho, Jin Young Park

Abstract read
In one paragraph

Article in Scientific reports, 2025. 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

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

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

4 authors.

Kyungmi ChungInstitute of Behavioral Science in Medicine, Yonsei University College of Medicine, Yonsei University Health System, Seoul, Republic of Korea.
Kyungun JhungDepartment of Psychiatry, International St. Mary's Hospital, Catholic Kwandong University College of Medicine, Incheon, Republic of Korea.
Hee Young ChoDepartment of Obstetrics and Gynecology, Seoul National University Hospital, Seoul National University College of Medicine, Daehak-ro 101, Jongno-gu, Seoul, 03080, Republic of Korea. hycho.md@gmail.com.
Jin Young ParkInstitute of Behavioral Science in Medicine, Yonsei University College of Medicine, Yonsei University Health System, Seoul, Republic of Korea. empathy@yuhs.ac.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study investigated whether a mobile chatbot-delivered intervention for prenatal education could enhance maternal-fetal attachment (MFA) among pregnant women with different levels of spousal support. In a quasi-experimental study conducted in January 2021, sixty volunteers who met all the eligibility criteria were enrolled: legally married, pregnant women aged 19 to 49 years, primigravida women from 21 to 32 weeks of gestation, and those in need of prenatal education. After completing a pre-questionnaire on pregnancy status, perception of prenatal education, and partner support, the women were asked to sequentially perform the given six tasks via a chatbot for two weeks, and then they filled out a post-questionnaire after completing the tasks. Both affective and cognitive-behavioral MFA outcomes were repeatedly measured before and after the intervention. The chatbot intervention enhanced affective MFA by increasing the intensity of prenatal education regardless of spousal support levels (p = .03): (1) low (n = 29; pre vs. post: p < .0042) and (2) high (n = 31; pre vs. post: p < .0042). In terms of cognitive-behavioral MFA, active paternal involvement in the chatbot-assisted baby talk helped women with low spousal support to differentiate themselves from the fetus (p = .02; pre vs. post: p < .0042) and to attribute characteristics and intention to the fetus (p = .011; pre vs. post: p < .0042), eliciting positive affect. This new mobile chatbot successfully served as a guide for pregnant couples starting prenatal education for the first time.

Indexed as

COVID-19FathersMaternal-Fetal RelationsPregnant PeoplePrenatal CarePrenatal EducationAdultFemaleGenerative Artificial IntelligenceHumansMaleMiddle AgedPregnancyRepublic of KoreaSARS-CoV-2Social Support

Identifiers

PMID40764632
PMCPMC12325668

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.