ABSTRACT Aim This study aimed to investigate the information needs for artificial intelligence chatbot–based interventions on prenatal care among pregnant women of advanced maternal age. Design This study employed a qualitative research method using thematic analysis. Methods Participants were pregnant women of advanced maternal age aged 35 and older who attended childbirth classes or used midwifery services in three cities. Participants were recruited through purposive sampling from September 23, 2023, to February 24, 2024, until saturation was reached. Semi‐structured interviews were conducted with a total of 13 participants. The analysis was conducted in accordance with Braun and Clarke's six phases of thematic analysis: familiarisation with the data, generating initial codes, searching for themes, reviewing themes, defining and naming themes, and producing the report. Results Four central themes were identified that described prenatal care information needs for AI chatbots, as follows: (1) Information needs for an AI chatbot supporting advanced maternal age pregnancy; (2) childcare; (3) postpartum recovery; and (4) breastfeeding promotion. Conclusion These findings highlight the importance of developing an accessible, interactive, and empathetic AI chatbot–based prenatal care application that can provide reliable information and support to improve maternal and fetal health among women of advanced maternal age. Implications for the Profession and/or Patient Care The themes identified in this study offer concrete guidance for developing an AI chatbot that delivers relevant support for postpartum recovery, breastfeeding, newborn emergencies, and child health management among pregnant women of advanced maternal age. Reporting Method The study follows the Consolidated Criteria for Reporting Qualitative Research (COREQ) guidelines. Patient or Public Contribution No patient or public contribution.
Bang et al. (Sun,) studied this question.