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Does a preterm labor-assessment algorithm improve preterm labor-related knowledge, clinical practice confidence, and educational satisfaction?: a quasi-experimental study.

Hee-Young ChoiJeung-Im Kim
Published in: Korean journal of women health nursing (2023)
The practice education using a preterm-labor assessment algorithm was effective in improving preterm labor-related knowledge and clinical practice confidence. The findings suggest that follow-up education should be conducted at 8 weeks, or as soon as possible thereafter, to maintain knowledge and clinical confidence, and the effects should be evaluated.
Keyphrases
  • healthcare
  • gestational age
  • clinical practice
  • low birth weight
  • preterm birth
  • preterm infants
  • machine learning
  • quality improvement
  • deep learning
  • primary care