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Translating Evidence into Obstetric Care: Developing a Best Practice-Informed Stepped-Care Clinical Algorithm for the
Fei-Yi Zhao1,2,3,4, Li-Ping Yue1, Yuen-Shan Ho5
1Department of Nursing, School of International Medical Technology, Shanghai Sanda University, Shanghai, 201209, People's Republic of China.
Nature and Science of Sleep
|June 25, 2026
Summary
Pregnancy insomnia can lead to adverse outcomes. This study synthesizes evidence to create a stepped-care algorithm for managing gestational insomnia, prioritizing lifestyle changes, cognitive behavioral therapy for insomnia (CBT-i), and pharmacotherapy or CAM as needed.
Area of Science:
- Obstetrics and Gynecology
- Sleep Medicine
- Evidence-Based Medicine
Background:
- Insomnia during pregnancy is linked to adverse maternal and fetal outcomes.
- Potential complications include gestational diabetes, pre-eclampsia, and preterm birth.
Purpose of the Study:
- To synthesize evidence on managing gestational insomnia.
- To develop a clinical algorithm for obstetric care.
Main Methods:
- Systematic literature search following the 6S evidence pyramid.
- Independent screening and appraisal by four reviewers.
- Evidence synthesis using the JBI Grading of Evidence and Recommendation System.
Main Results:
- Nineteen publications yielded 31 practice recommendations.
- Recommendations cover principles, lifestyle, CBT-i, pharmacotherapy, and CAM.
- A stepped-care pathway progresses from lifestyle to CBT-i, then pharmacotherapy or CAM.
Conclusions:
- A stepped-care algorithm for gestational insomnia is proposed.
- Clinical validation and tailored implementation are needed.
- Algorithm aims to inform obstetric practice for better pregnancy outcomes.
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