Clinical algorithms for the monitoring and management of spontaneous, uncomplicated labour and childbirth

IF 4.7 1区 医学 Q1 OBSTETRICS & GYNECOLOGY
Julia Pasquale, Celina Gialdini, Mónica Chamillard, Virginia Diaz, Marcus J. Rijken, Joyce L. Browne, Mimi Tin Yan Seto, Ka Wang Cheung, Mercedes Bonet, WHO Intrapartum Care Algorithms Working Group
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Abstract

Aim

To develop evidence-based clinical algorithms for the assessment and management of spontaneous, uncomplicated labour and vaginal birth.

Population

Pregnant women at any stage of labour, with singleton, term pregnancies considered to be at low risk of developing complications.

Setting

Health facilities in low- and middle-income countries.

Search Strategy

We searched for relevant published algorithms, guidelines, systematic reviews and primary research studies on Cochrane Library, PubMed, and Google on terms related to spontaneous, uncomplicated labour and childbirth up to 01 June 2023.

Case scenarios

Three case scenarios were developed to cover assessments and management for spontaneous, uncomplicated first, second and third stage of labour. The algorithms provide pathways for definition, assessments, diagnosis, and links to other algorithms in this series for management of complications.

Conclusions

We have developed three clinical algorithms to support evidence-based decision making during spontaneous, uncomplicated labour and vaginal birth. These algorithms may help guide health care staff to institute respectful care, appropriate interventions where needed, and potentially reduce the unnecessary use of interventions during labour and childbirth.

Abstract Image

自然分娩、无并发症分娩和分娩监测与管理的临床算法。
本手稿旨在为自然分娩、无并发症分娩和阴道分娩的评估和管理制定循证临床算法。研究对象为中低收入国家医疗机构中处于任何分娩阶段、被认为并发症风险较低的单胎足月妊娠孕妇。我们在 Cochrane 图书馆、PubMed® 和 Google 上搜索了已发表的相关算法、指南、系统综述和初步研究,使用的术语与截至 2023 年 6 月 1 日的自发性无并发症分娩和分娩有关。制定了三个案例情景,涵盖自发性无并发症第一、第二和第三产程的评估和管理。这些算法提供了定义、评估、诊断的路径,并与本系列中有关并发症处理的其他算法相链接。我们制定了三种临床算法,以支持在自然分娩、无并发症分娩和阴道分娩过程中的循证决策。这些算法有助于指导医护人员实施尊重产妇的护理,并在必要时采取适当的干预措施,从而减少在分娩过程中不必要地使用干预措施。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
10.90
自引率
5.20%
发文量
345
审稿时长
3-6 weeks
期刊介绍: BJOG is an editorially independent publication owned by the Royal College of Obstetricians and Gynaecologists (RCOG). The Journal publishes original, peer-reviewed work in all areas of obstetrics and gynaecology, including contraception, urogynaecology, fertility, oncology and clinical practice. Its aim is to publish the highest quality medical research in women''s health, worldwide.
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