Global health systems strengthening: FIGO's strategic view on reducing maternal and newborn mortality worldwide.

OBJECTIVE: To demonstrate that successful health systems strengthening (HSS) projects have addressed disparities and inequities in maternal and perinatal care in low-income countries. METHODS: A comprehensive literature review covered the period between 1980 and 2022, focusing on successful HSS interventions within health systems' seven core components that improved maternal and perinatal care. RESULTS: The findings highlight the importance of integrating quality interventions into robust health systems, as this has been shown to reduce maternal and newborn mortality. However, several challenges, including service delivery gaps, poor data use, and funding deficits, continue to hinder the delivery of quality care. To improve maternal and newborn health outcomes, a comprehensive HSS strategy is essential, which should include infrastructure enhancement, workforce skill development, access to essential medicines, and active community engagement. CONCLUSION: Effective health systems, leadership, and community engagement are crucial for a comprehensive HSS approach to catalyze progress toward universal health coverage and global improvements in maternal and newborn health.

Maternal and perinatal health among pregnant patients in the context of a migratory crisis.

OBJECTIVE: To compare maternal and perinatal outcomes of migrant Venezuelan women with local pregnant patients in a Colombian institution in the context of a migratory crisis. STUDY DESIGN: This cross-sectional study included 11 304 deliveries from the Clínica de Maternidad Rafael Calvo in Cartagena de Indias, Colombia, a tertiary referral center on the north coast of Colombia. Data on maternal demographics and perinatal outcomes were obtained by chart review. RESULTS: In total, 595 patients were identified as Venezuelan migrants, and their perinatal outcomes were compared against those of 10 709 local pregnant patients. Despite similar baseline maternal conditions in both groups, poorer prenatal follow-up care (3 [1-5] vs. 5 [4-7] visits; P < 0.001) and severe complications were more common in Venezuelan migrant pregnant patients and their children. In addition, maternal hypertension was significantly more common in migrants (11.4% [68/595] vs. 8.3% [887/10709]; P = 0.009). Furthermore, in the group of pregnant migrant patients, the rates of severe maternal morbidity (13.4% [80/575] vs. 9.45%, [1013/10709]; P = 0.002), neonatal respiratory distress syndrome (22/595 [3.7%] vs. 237/10709 [2.23%]; P = 0.03), and perinatal mortality (11/586 [1.88%] vs. 67/10651 [0.63%]; P = 0.003) were significantly higher than in the local pregnant population. CONCLUSION: Forced migration during pregnancy may be associated with poorer prenatal care, which may predispose women and their newborns to more frequent adverse maternal and perinatal outcomes.

Predictors of Maternal Mortality and Prognostic Models in Obstetric Patients.

The use of predictive models has been proposed as a potential tool to reduce maternal morbidity and mortality, by aiding in the timely identification of potential high-risk patients. Prognostic models in critical care have been used to characterize the severity of illness of specific diseases. Physiological changes in pregnancy may result in general critical illness prediction models overestimating mortality in obstetric patients. Models that specifically reflect the unique characteristics of obstetric patients may have better prognostic value. Recently developed tools have focused on identifying at-risk patients before they require intensive care unit (ICU) admission to target early interventions and prevent acute clinical decompensation. The aim of the newest scoring systems, specifically designed for groups of obstetric patients receiving non-ICU care, is to reduce maternal morbidity and mortality by identifying early high-risk patients and initiating prompt effective medical responses.