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Background: Caesarean section is recommended in situations in which vaginal birth presents a greater likelihood of adverse maternal or perinatal outcomes than normal. However, it is associated with a higher risk of complications, especially when performed without a clear medical indication. Since labour attendants have no standardised clinical method to assist in this decision, statistical tools developed based on multiple labour variables may be an alternative. The objective of this paper was to develop and evaluate the accuracy of models for caesarean section prediction using maternal and foetal characteristics collected at admission and through labour. Method: This is a secondary analysis of the World Health Organization's Better Outcomes in Labour Difficulty prospective cohort study in two sub-Saharan African countries. Data were collected from women admitted for labour and childbirth in 13 hospitals in Nigeria as well as Uganda between 2014 and 2015. We applied logistic regression to develop different models to predict caesarean section, based on the time when intrapartum assessment was made. To evaluate discriminatory capacity of the various models, we calculated: area under the curve, diagnostic accuracy, positive predictive value, negative predictive value, sensitivity and specificity. Results: A total of 8957 pregnant women with 12.67% of caesarean births were used for model development. The model based on labour admission characteristics showed an area under the curve of 78.70%, sensitivity of 63.20%, specificity of 78.68% and accuracy of 76.62%. On the other hand, the models that applied intrapartum assessments performed better, with an area under the curve of 93.66%, sensitivity of 80.12%, specificity of 89.26% and accuracy of 88.03%. Conclusion: It is possible to predict the likelihood of intrapartum caesarean section with high accuracy based on labour characteristics and events. However, the accuracy of this prediction is considerably higher when based on information obtained throughout the course of labour. [ABSTRACT FROM AUTHOR]

Objective: "Negotiated standards" describe a level of quality of care that is acceptable and achievable within a specific health system, based on consensus between key stakeholders. This paper presents the development of negotiated standards for effective labor and childbirth care in selected hospitals and communities in Nigeria and Uganda.Methods: A four-step development process involving different methodologies. The process included: (1) review and synthesis of internationally recognized intrapartum clinical principles and practices; (2) primary qualitative research to assess values and preferences of women and healthcare providers, and practices that align with these preferences; (3) draft contextualization of effective and ineffective behaviors to reflect values and preferences; and (4) WHO-mediated negotiations between relevant stakeholders, including community members, providers, and administrators.Results: The primary outcomes of this process were a comprehensive set of effective behaviors and clinical practices covering the main domains of quality of care, which are practical and easy to communicate, implement, and audit across all levels of healthcare delivery.Conclusion: The process demonstrates that health facilities and providers can be motivated to adopt standards of care that uphold the values and preferences of both service users and providers, while adhering to international best practices. [ABSTRACT FROM AUTHOR]