Abstract：
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.
摘要：
本手稿的目的是开发基于证据的临床算法，用于评估和管理自发性，简单的分娩和阴道分娩。人口是处于任何分娩阶段的孕妇，单身人士,在低收入和中等收入国家的医疗机构中，足月妊娠的并发症风险较低。我们搜索了相关的已发布算法，指导方针,对Cochrane图书馆的系统评价和初步研究，PubMed®和Google,使用与自发相关的术语，截至2023年6月1日，简单的分娩和分娩。开发了三种病例方案来涵盖自发的评估和管理，首先不复杂，第二和第三阶段的劳动。算法提供了定义途径，评估,诊断和链接到其他算法在这个系列的并发症的管理。我们已经开发了三种临床算法来支持自发的循证决策，简单的分娩和阴道分娩。这些算法可能有助于指导医护人员建立尊重的护理，在需要的地方采取适当的干预措施，并有可能减少分娩和分娩期间不必要的干预措施。
