Scenarios of maternal mortality reduction by 2030 in the Americas: insights from its tempo.

BACKGROUND: The enduring threat of maternal mortality to health worldwide and in the Americas has been recognized in the global and regional agendas and their targets to 2030. To inform the direction and amount of effort needed to meet those targets, a set of equity-sensitive regional scenarios of maternal mortality ratio (MMR) reduction based on its tempo or speed of change from baseline year 2015 was developed. METHODS: Regional scenarios by 2030 were defined according to: i) the MMR average annual rate of reduction (AARR) needed to meet the global (70 per 100,000) or regional (30 per 100,000) targets and, ii) the horizontal (proportional) or vertical (progressive) equity criterion applied to the cross-country AARR distribution (i.e., same speed to all countries or faster for those with higher baseline MMR). MMR average and inequality gaps -absolute (AIG), and relative (RIG)- were scenario outcomes. RESULTS: At baseline, MMR was 59.2 per 100,000; AIG was 313.4 per 100,000 and RIG was 19.0 between countries with baseline MMR over twice the global target and those below the regional target. The AARR needed to meet the global and regional targets were -7.60% and -4.54%, respectively; baseline AARR was -1.55%. In the regional MMR target attainment scenario, applying horizontal equity would decrease AIG to 158.7 per 100,000 and RIG will remain invariant; applying vertical equity would decrease AIG to 130.9 per 100,000 and RIG would decrease to 13.5 by 2030. CONCLUSION: The dual challenge of reducing maternal mortality and abating its inequalities will demand hefty efforts from countries of the Americas. This remains true to their collective 2030 MMR target while leaving no one behind. These efforts should be mainly directed towards significantly speeding up the tempo of the MMR reduction and applying sensible progressivity, targeting on groups and territories with higher MMR and greater social vulnerabilities, especially in a post-pandemic regional context.

Late Maternal Deaths and Deaths from Sequelae of Obstetric Causes in the Americas from 1999 to 2013: A Trend Analysis.

BACKGROUND: Data on maternal deaths occurring after the 42 days postpartum reference time is scarce; the objective of this analysis is to explore the trend and magnitude of late maternal deaths and deaths from sequelae of obstetric causes in the Americas between 1999 and 2013, and to recommend including these deaths in the monitoring of the Sustainable Development Goals (SDGs). METHODS: Exploratory data analysis enabled analyzing the magnitude and trend of late maternal deaths and deaths from sequelae of obstetric causes for seven countries of the Americas: Argentina, Brazil, Canada, Colombia, Cuba, Mexico and the United States. A Poisson regression model was developed to compare trends of late maternal deaths and deaths from sequelae of obstetric causes between two periods of time: 1999 to 2005 and 2006 to 2013; and to estimate the relative increase of these deaths in the two periods of time. FINDINGS: The proportion of late maternal deaths and deaths from sequelae of obstetric causes ranged between 2.40% (CI 0.85% - 5.48%) and 18.68% (CI 17.06% - 20.47%) in the seven countries. The ratio of late maternal deaths and deaths from sequelae of obstetric causes per 100,000 live births has increased by two times in the region of the Americas in the period 2006-2013 compared to the period 1999-2005. The regional relative increase of late maternal death was 2.46 (p<0.0001) times higher in the second period compared to the first. INTERPRETATION: Ascertainment of late maternal deaths and deaths from sequelae of obstetric causes has improved in the Americas since the early 2000's due to improvements in the quality of information and the obstetric transition. Late and obstetric sequelae maternal deaths should be included in the monitoring of the SDGs as well as in the revision of the International Classification of Diseases' 11th version (ICD-11).

Data visualisation in surveillance for injury prevention and control: conceptual bases and case studies.

BACKGROUND: The complexity of current injury-related health issues demands the usage of diverse and massive data sets for comprehensive analyses, and application of novel methods to communicate data effectively to the public health community, decision-makers and the public. Recent advances in information visualisation, availability of new visual analytic methods and tools, and progress on information technology provide an opportunity for shaping the next generation of injury surveillance. OBJECTIVE: To introduce data visualisation conceptual bases, and propose a visual analytic and visualisation platform in public health surveillance for injury prevention and control. METHODS: The paper introduces data visualisation conceptual bases, describes a visual analytic and visualisation platform, and presents two real-world case studies illustrating their application in public health surveillance for injury prevention and control. RESULTS: Application of visual analytic and visualisation platform is presented as solution for improved access to heterogeneous data sources, enhance data exploration and analysis, communicate data effectively, and support decision-making. CONCLUSIONS: Applications of data visualisation concepts and visual analytic platform could play a key role to shape the next generation of injury surveillance. Visual analytic and visualisation platform could improve data use, the analytic capacity, and ability to effectively communicate findings and key messages. The public health surveillance community is encouraged to identify opportunities to develop and expand its use in injury prevention and control.