Clinical algorithms for identification and management of delay in the progression of first and second stage of labour.

Aim: To develop clinical algorithms for the assessment and management of slow progress of labour. Population: Low-risk singleton, term, pregnant women in labour. Setting: Institutional births in low- and middle-income countries. Search Strategy: We systematically reviewed the literature on normal labour progression, and guidance on clinical management of abnormally slow progression from 1 December 2015 to 1 December 2020. Case scenarios: We developed two clinical algorithms: one for abnormally slow labour progression and arrest during first and one for second stage. Conclusions: Identifying abnormal progress of labour is often challenging. These algorithms may help to reduce misdiagnosis.