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Development of Educational Materials for an Application to Predict Precipitate Delivery

Yaeko Inaba1

  • 1Doctoral Course, Graduate school of Applied Informatics, University of Hyogo.

Studies in Health Technology and Informatics
|August 8, 2025
PubMed

To develop educational materials aimed at midwifery students, nursing students, and new midwives to enable them to predict precipitate delivery and short-time delivery, for which there are currently no diagnostic guidelines. To develop educational materials for iPhone users, we downloaded and used X-Code version 11. We conducted a user evaluation experiment involving midwifery and nursing students. The survey results indicated a positive response, with many students expressing a desire to use it in their midwifery training. Predicting the delivery time is considered one of the most crucial diagnostic skills for midwifery students. Students suggested adding a function to display factors that promote or delay labor, so we decided to add factors that promote and delay labor in the second version. It is suggested that the developed application will contribute to improved prediction of delivery time and safer childbirth practices in midwifery.

Keywords:
an applicationeducational materials

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