Analysis of influencing factors and demands of online pregnant women school learning
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Graphical Abstract
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Abstract
Objective To analyze the influencing factors and demands of online pregnant women school(OPWS) learning and provide suggestions for optimizing OPWS teaching. Method A survey included 823 pregnant women recruited from Guangdong Women and Children Hospital with a convenient sampling method was conducted from July to August in 2018. A self-designed questionnaire was adopted, and a total of 820 participants completed the survey validly by using mobile phone anonymously. Result The rate of OPWS learning was 50. 0%. Compared with the preconception women, the learning rates of pregnant women in early,middle, and late pregnancy and postpartum were 1-3 times higher. Compared with the women who were pregnant for the first time, the learning rate of pregnant women for the second time or more dropped by almost half. Compared with women of junior high school education level or below, the learning rate of pregnant women with a bachelor degree or above tripled. Compared with women with monthly income less than 2999 RMB, the learning rate of pregnant women with a monthly income of more than 2999 RMB(or unclear,or not disclosed) doubled. The first three teaching methods chosen were online theoretical course learning(24. 8%), offline practical course learning(16. 2%), and learning from each other(14. 8%). The first three courses that women with OPWS learning experience required were postnatal rehabilitation(23. 4%), newborn nursing(22. 9%), and health care during pregnancy(20. 9%).Conclusion The OPWS learning rate was affected by gestational age, pregnancy history, educational level, and income.Pregnant women required diversified teaching modes, and their learning needs focused on postpartum rehabilitation, newborn care, and health care during pregnancy. Online course development should invite the participation and gatekeeper of maternal and child health care professionals. The needs and feedback of pregnant women should be collected in time to explore special, professional, reliable,and accurate online courses and enrich teaching methods to meet their needs. Simultaneously, it should be considered to apply information technology to hierarchically and intelligently promote pregnant women's autonomous learning based on their social demographic information and knowledge preferences.
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