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.