Surveillance of severe maternal morbidity and maternal mortality in maternity hospitals of the Latin American and Caribbean network - Red CLAP: study protocol

Abstract

The sustained reduction in maternal mortality in America underlines the need to analyse women who survived a complication that could have been fatal if appropriate and timely care had not been taken. Analysis of maternal near-miss (MNM) cases, as well as potentially life-threatening conditions (PLTC), are considered indicators for monitoring the quality of maternal care. The specific objective of this study protocol is to develop a surveillance system for PLTC, MNM and maternal mortality, as primary outcomes, in Latin American and Caribbean maternal healthcare institutions. Secondarily, the study was designed to identify factors associated with these conditions and estimate how often key evidence-based interventions were used for managing severe maternal morbidity. This is a multicenter cross-sectional study with prospective data collection. The target population consists of all women admitted to health centres participating in the network during pregnancy, childbirth, or the postpartum period. Variables describing the sequence of events that may result in a PLTC, MNM or maternal death are recorded. Relevant quality control is carried out to ensure the quality of the database and confidentiality. Centres with approximately 2,500 annual deliveries will be included to achieve a sufficient number of cases for calculation of indicators. The frequency of outcome measures for PLTC, MNM and maternal mortality and their confidence intervals and differences between groups will be calculated using the most appropriate statistical tests. Similar procedures will be performed with variables describing the use of evidence-based practices. Networking creates additional possibilities for global information management and interaction between different research groups. Lessons can be learned and shared, generating scientific knowledge to address relevant health problems throughout the region with provision of efficient data management.