Impact of Artificial Intelligence (AI) on Antenatal Care Services’ (ANCS) Adherence Among Multiparous

An increasing number of pregnant women are utilizing AI-based tools for health-related purposes as these technologies become more accessible. This study aims to explore the relationship between the use of digital platforms for health purposes and maternal adherence to prenatal healthcare services. A mixed-method design was employed, including a quantitative component with 320 pregnant multiparous women recruited through convenience sampling, and a qualitative component with 25 pregnant women selected through purposive sampling until data saturation. Data collection involved the Pregnancy Demographic Data Questionnaire and the Antenatal Care Scale (ANCS). The Results showed that 93.7% of participants had smartphones with internet access, and 84% used AI tools for 2-5 hours daily. Google was the most frequently used platform (57.9%), followed by mobile applications and YouTube (42.1%), while ChatGPT was used by 5.3%. AI tool usage was significantly associated with participants’ ANCS scores (p=0.001). However, 62.2% of participants demonstrated poor attitudes and intentions toward antenatal care adherence. The study identified multiple barriers to antenatal care adherence, including issues related to the healthcare system, users, and social support systems. In conclusion, the findings suggest that integrating respectful maternity care information into AI tools may encourage pregnant women to seek prenatal care. Future research should consider the diverse socioeconomic backgrounds of expectant mothers to better understand their attitudes and challenges in accessing prenatal services.

Authors

Publication Details

Journal
Palestinian medical and pharmaceutical journal/Palestinian medical & pharmaceutical journal
Published
2025-05-01
DOI
https://doi.org/10.59049/2790-0231.10.4.2514
Primary Topic
Assisted Reproductive Technology and Twin Pregnancy
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Impact of Artificial Intelligence (AI) on Antenatal Care Services’ (ANCS) Adherence Among Multiparous

Niven Basyouni, Dua’a Al-Maghaireh, Khitam Alsaqer, Alaa Ali Yousef Bsoul
Palestinian medical and pharmaceutical journal/Palestinian medical & pharmaceutical journal
Assisted Reproductive Technology and Twin Pregnancy
article

Impact of Artificial Intelligence (AI) on Antenatal Care Services’ (ANCS) Adherence Among Multiparous

Niven Basyouni, Dua’a Al-Maghaireh, Khitam Alsaqer, Alaa Ali Yousef Bsoul
article en

Abstract

An increasing number of pregnant women are utilizing AI-based tools for health-related purposes as these technologies become more accessible. This study aims to explore the relationship between the use of digital platforms for health purposes and maternal adherence to prenatal healthcare services. A mixed-method design was employed, including a quantitative component with 320 pregnant multiparous women recruited through convenience sampling, and a qualitative component with 25 pregnant women selected through purposive sampling until data saturation. Data collection involved the Pregnancy Demographic Data Questionnaire and the Antenatal Care Scale (ANCS). The Results showed that 93.7% of participants had smartphones with internet access, and 84% used AI tools for 2-5 hours daily. Google was the most frequently used platform (57.9%), followed by mobile applications and YouTube (42.1%), while ChatGPT was used by 5.3%. AI tool usage was significantly associated with participants’ ANCS scores (p=0.001). However, 62.2% of participants demonstrated poor attitudes and intentions toward antenatal care adherence. The study identified multiple barriers to antenatal care adherence, including issues related to the healthcare system, users, and social support systems. In conclusion, the findings suggest that integrating respectful maternity care information into AI tools may encourage pregnant women to seek prenatal care. Future research should consider the diverse socioeconomic backgrounds of expectant mothers to better understand their attitudes and challenges in accessing prenatal services.

Palestinian medical and pharmaceutical journal/Palestinian medical & pharmaceutical journalVol. 10(5)
Openalex Percentile: Top 81%
Assisted Reproductive Technology and Twin Pregnancy
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Impact of Artificial Intelligence (AI) on Antenatal Care Services’ (ANCS) Adherence Among Multiparous — Niven Basyouni, Dua’a Al-Maghaireh, et al. · Palestinian medical and pharmaceutical journal/Palestinian medical & pharmaceutical journal (2025) | TGRS Research Map | TGRS