Journal
BJOG-AN INTERNATIONAL JOURNAL OF OBSTETRICS AND GYNAECOLOGY
Volume -, Issue -, Pages -Publisher
WILEY
DOI: 10.1111/1471-0528.16727
Keywords
Abnormal uterine activity; clinical algorithm; labour; uterine contractions; uterine hypoactivity; uterine tachysystole; vaginal birth
Categories
Funding
- Bill & Melinda Gates Foundation [OPP1084318]
- United States Agency for International Development (USAID)
- UNDPUNFPA-UNICEF-WHO-World Bank Special Programme of Research, Development and Research Training in Human Reproduction (HRP)
- Bill and Melinda Gates Foundation [OPP1084318] Funding Source: Bill and Melinda Gates Foundation
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The aim of this study was to develop algorithms as decision support tools for identifying, managing and monitoring abnormal uterine activity during labour. Algorithms were developed for uterine hypoactivity and excessive uterine contractions, focusing on diagnosis, identification of probable causes, assessment of maternal and fetal condition, and labour progress. The results suggest that these algorithms can facilitate safe and effective management of abnormal uterine activity.
Aim To develop algorithms as decision support tools for identifying, managing and monitoring abnormal uterine activity during labour. Population Women with singleton, term (37-42 weeks) pregnancies in active labour at admission. Setting Institutional birth settings in low- and middle-income countries (the algorithm may be applicable to any health facility). Search strategy PubMed was searched up to January 2020 using keywords. We also searched The Cochrane Library, and international guidelines from World Health Organization (WHO), National Institute for Health and Care Excellence (NICE), American College of Obstetricians and Gynecologists (ACOG) and French College of Gynaecologists and Obstetricians (CNGOF). Case scenarios Algorithms were developed for two case scenarios: uterine hypoactivity and excessive uterine contractions. Key themes in the algorithm are: diagnosis, identification of probable causes, assessment of maternal and fetal condition and labour progress, monitoring and management. Conclusion The algorithms for uterine hypoactivity and excessive uterine contractions have been developed to facilitate safe and effective management of abnormal uterine activity during labour. Research is needed to assess the views of healthcare professionals and women accessing healthcare to explore the feasibility of implementing these algorithms, and impact on labour outcomes. Tweetable abstract An evidence-based algorithm to support clinical management of abnormal uterine activity during labour.
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