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

Authors
 Kyungmi Chung  ;  Kyungun Jhung  ;  Hee Young Cho  ;  Jin Young Park 
Citation
 SCIENTIFIC REPORTS, Vol.15(1) : 28541, 2025-08 
Journal Title
SCIENTIFIC REPORTS
Issue Date
2025-08
MeSH
Adult ; COVID-19* / epidemiology ; COVID-19* / psychology ; COVID-19* / virology ; Fathers* / psychology ; Female ; Generative Artificial Intelligence ; Humans ; Male ; Maternal-Fetal Relations* / psychology ; Middle Aged ; Pregnancy ; Pregnant People* / psychology ; Prenatal Care* / methods ; Prenatal Education* / methods ; Republic of Korea / epidemiology ; SARS-CoV-2 ; Social Support ; Spouses ; Young Adult
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.
Files in This Item:
T202505765.pdf Download
DOI
10.1038/s41598-025-13586-z
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Psychiatry (정신과학교실) > 1. Journal Papers
Yonsei Authors
Park, Jin Young(박진영) ORCID logo https://orcid.org/0000-0002-5351-9549
Chung, Kyungmi(정경미) ORCID logo https://orcid.org/0000-0003-2754-7631
URI
https://ir.ymlib.yonsei.ac.kr/handle/22282913/207309
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