The aim of this manuscript is to develop evidence-based clinical algorithms for the assessment and management of spontaneous, uncomplicated labour and vaginal birth. The population is pregnant women at any stage of labour, with singleton, term pregnancies considered to be at low risk of developing complications in health facilities in low and middle income countries. We searched for relevant published algorithms, guidelines, systematic reviews and primary research studies on Cochrane Library, PubMed® and Google, using terms related to spontaneous, uncomplicated labour and childbirth up to 1 June 2023. Three case scenarios were developed to cover the assessment and management of spontaneous, uncomplicated first, second and third stages of labour. The algorithms provide pathways for definition, assessments, diagnosis and links to other algorithms in this series for the management of complications. We have developed three clinical algorithms to support evidence-based decision-making during spontaneous, uncomplicated labour and vaginal birth. These algorithms may help to guide healthcare staff to institute respectful care, with appropriate interventions where needed, and potentially will reduce the unnecessary use of interventions during labour and childbirth.

中文翻译：

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用于监测和管理自然、简单分娩和分娩的临床流程


本手稿的目的是开发基于证据的临床算法，用于评估和管理自然、简单的分娩和阴道分娩。人群是处于任何分娩阶段的孕妇，在低收入和中等收入国家的卫生机构中，单胎、足月妊娠被认为发生并发症的风险较低。我们使用截至 2023 年 6 月 1 日与自然、简单分娩和分娩相关的术语，在 Cochrane 图书馆、PubMed® 和 Google 上检索了相关已发表的算法、指南、系统评价和初步研究。开发了三个案例场景来涵盖评估和分娩管理自发的、简单的第一、第二和第三产程。这些算法提供了定义、评估、诊断的途径以及与本系列中用于并发症管理的其他算法的链接。我们开发了三种临床算法来支持自然、简单的分娩和阴道分娩期间的循证决策。这些算法可能有助于指导医护人员进行尊重的护理，并在需要时采取适当的干预措施，并有可能减少分娩期间不必要的干预措施。