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Does a preterm labor-assessment algorithm improve preterm labor-related knowledge, clinical practice confidence, and
Hee-Young Choi1, Jeung-Im Kim2
1School of Nursing, Graduate School of Soonchunhyang University, Cheonan, Korea.
Korean Journal of Women Health Nursing
|October 9, 2023
Summary
Practice education using a preterm labor assessment algorithm improved nursing students' knowledge and confidence. However, these gains diminished over time, indicating a need for timely follow-up training to sustain competency in preterm birth care.
Area of Science:
- Obstetrics and Gynecology
- Nursing Education
- Maternal Health
Background:
- Preterm birth rates are rising globally.
- Obstetric nurses require specialized skills for timely intervention.
- Current nursing practicum training may need enhancement for preterm labor management.
Purpose of the Study:
- To evaluate the impact of a preterm labor assessment algorithm-based education on nursing students.
- To assess changes in preterm labor knowledge and clinical practice confidence.
- To determine the effectiveness of a modified algorithm in a maternal nursing practicum.
Main Methods:
- A quasi-experimental pre-post study design with three groups.
- 61 senior nursing students participated in the intervention.
- Data analyzed using paired t-tests and repeated-measures ANOVA.
Main Results:
- Significant improvements in preterm labor knowledge and clinical confidence were observed post-intervention.
- Knowledge retention lasted up to 8 weeks, with a decline at 11-13 weeks.
- Clinical practice confidence decreased by 8 weeks post-intervention.
Conclusions:
- Practice education with a preterm labor assessment algorithm effectively enhances nursing students' knowledge and confidence.
- Follow-up education is recommended around 8 weeks post-intervention to maintain gains.
- Regular evaluation of educational effects is crucial for sustained competency.
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