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

中国三级甲等医院孕妇围产期教育现状及需求分析:一项横断面调查

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Abstract

OBJECTIVES: This study aimed to assess the factors influencing pregnant women's participation in perinatal education and their demand for educational courses. DESIGN: A cross-sectional study. SETTING: Tertiary hospital in Suzhou, China, July-September 2022. PARTICIPANTS: Pregnant 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. RESULTS: A 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. CONCLUSIONS: These 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.

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