Study on the Impact of Online Courses for Pregnant and Lying-In Women on Maternal and Infant Health during the Epidemic

Abstract

The sudden outbreak of the new crown pneumonia has brought online learning from a supporting role to the center of the teaching stage in an instant. On the basis of the feasibility analysis and demand analysis of the microcourse learning system, this paper uses Sina cloud server to build the WeChat public platform learning online course and designs and implements the microcourse learning system function based on the microcourse public platform. We completed the recording, editing, publishing, and testing of microclass courses and provided services for teachers and pregnant women's microclass learning in order to achieve better learning results. A total of 151 people regularly participate in maternity school courses, accounting for 30.4%. There are 190 people who have never attended the maternity school course, accounting for 38.2%. There are 156 people who occasionally participate in maternity school courses, accounting for 31.4%. The top five sources of health information during pregnancy are books, maternity schools, experience of elders, the Internet, and television. The results of one-way analysis of variance showed that pregnant women of different ages had statistically different scores in the dimensions of knowledge and ideas ( $P$  < 0.05). There are statistical differences in the scores of pregnant women with different economic incomes in this dimension ( $P$  < 0.05). The women with economic income ≥5000 yuan/month have the highest scores, and those with economic income ≥5000 yuan/month have the lowest scores. The scores of pregnant women who participated in the maternity school were significantly higher than those who did not participate in the maternity school ( $P$  < 0.05). There are statistical differences in the scores of maternal and child health basic skills among pregnant women of different age groups ( $P$  < 0.05). The women aged ≥35 years old have the highest scores, and those aged 20–24 years old have the lowest scores. The differences in the scores of pregnant women with different economic incomes in this dimension are statistically significant ( $P$ ＜0.05). The women with economic income ≥5000 yuan/month have the highest score, and those with economic income<2000 yuan/month have the lowest score. Participation in maternity schools has an impact on the scores of this dimension. Pregnant women who regularly participate in maternity schools have the highest average scores, and those who do not participate in maternity schools have the lowest average scores.