Abstractobjectives To show the utility of combining routinely collected data with geographic location using a Geographic Information System (GIS) in order to facilitate a data-driven approach to identifying potential gaps in access to emergency obstetric care within a rural Rwandan health district.methods Total expected births in 2009 at sub-district levels were estimated using community health worker collected population data. Clinical data were extracted from birth registries at eight health centres (HCs) and the district hospital (DH). C-section rates as a proportion of total expected births were mapped by cell. Peri-partum foetal mortality rates per facility-based births, as well as the rate of uterine rupture as an indication for C-section, were compared between areas of low and high C-section rates.results The lowest C-section rates were found in the more remote part of the hospital catchment area. The sector with significantly lower C-section rates had significantly higher facility-based peripartum foetal mortality and incidence of uterine rupture than the sector with the highest C-section rates (P < 0.034).conclusions This simple approach for geographic monitoring and evaluation leveraging existing health service and GIS data facilitated evidence-based decision making and represents a feasible approach to further strengthen local data-driven decisions for resource allocation and quality improvement.keywords geographic information systems, maternal mortality, regional health planning, access to health care, Rwanda
Value-based care has become the new paradigm for clinical practice, with significant implications for maternity services, where there is a large opportunity to provide better care at lower cost. Childbirth is the most common reason for hospitalization in the United States and represents the single largest category of hospital-based expenditures. At the same time, the United States ranks low among developed countries on measures of maternal and neonatal health, suggesting that we are not using resources optimally. Improving the value of maternity services will require public policies that measure and pay for quality rather than quantity of care. Equally important, clinicians will need to employ new strategies to deliver value, including considering prices, individualizing the use of new technologies, prioritizing team-based approaches to care, bridging pregnancy and contraception counseling, and engaging expecting families in new ways.
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