%0 Journal Article
%T Clinical algorithms for the monitoring and management of spontaneous, uncomplicated labour and childbirth.
%A Pasquale J
%A Gialdini C
%A Chamillard M
%A Diaz V
%A Rijken MJ
%A Browne JL
%A Seto MTY
%A Cheung KW
%A Bonet M
%A  
%J BJOG
%V 0
%N 0
%D 2024 Jul 10
%M 38986678
%F 7.331
%R 10.1111/1471-0528.17895
%X 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.