Clinical algorithms for the monitoring and management of spontaneous, uncomplicated labour and childbirth.

Autor: Pasquale J; Centro Rosarino de Estudios Perinatales (CREP), Rosario, Argentina., Gialdini C; Centro Rosarino de Estudios Perinatales (CREP), Rosario, Argentina.; Fundacio Blanquerna, Barcelona, Spain., Chamillard M; Centro Rosarino de Estudios Perinatales (CREP), Rosario, Argentina., Diaz V; Centro Rosarino de Estudios Perinatales (CREP), Rosario, Argentina., Rijken MJ; Department of Global Public Health, Julius Centre for Health Sciences and Primary Care, University Medical Centre Utrecht, Utrecht University, Utrecht, the Netherlands., Browne JL; Department of Global Public Health, Julius Centre for Health Sciences and Primary Care, University Medical Centre Utrecht, Utrecht University, Utrecht, the Netherlands., Seto MTY; Department of Obstetrics and Gynaecology, Queen Mary Hospital, The University of Hong Kong, Hong Kong SAR, China., Cheung KW; Department of Obstetrics and Gynaecology, Queen Mary Hospital, The University of Hong Kong, Hong Kong SAR, China., Bonet M; UNDP/UNFPA/UNICEF/WHO/World Bank Special Program of Research, Development and Research Training in Human Reproduction (HRP), Department of Sexual and Reproductive Health and Research, World Health Organization, Geneva, Switzerland.
Jazyk: angličtina
Zdroj: BJOG : an international journal of obstetrics and gynaecology [BJOG] 2024 Aug; Vol. 131 Suppl 2, pp. 17-27. Date of Electronic Publication: 2024 Jul 10.
DOI: 10.1111/1471-0528.17895
Abstrakt: Aim: To develop evidence-based clinical algorithms for the assessment and management of spontaneous, uncomplicated labour and vaginal birth.
Population: Pregnant women at any stage of labour, with singleton, term pregnancies considered to be at low risk of developing complications.
Setting: Health facilities in low- and middle-income countries.
Search Strategy: We searched for relevant published algorithms, guidelines, systematic reviews and primary research studies on Cochrane Library, PubMed, and Google on terms related to spontaneous, uncomplicated labour and childbirth up to 01 June 2023.
Case Scenarios: Three case scenarios were developed to cover assessments and management for spontaneous, uncomplicated first, second and third stage of labour. The algorithms provide pathways for definition, assessments, diagnosis, and links to other algorithms in this series for management of complications.
Conclusions: We have developed three clinical algorithms to support evidence-based decision making during spontaneous, uncomplicated labour and vaginal birth. These algorithms may help guide health care staff to institute respectful care, appropriate interventions where needed, and potentially reduce the unnecessary use of interventions during labour and childbirth.
(© 2024 John Wiley & Sons Ltd.)
Databáze: MEDLINE
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