In 2013 about 289,000 women (800 per day) in the world died due to pregnancy-related causes, with large differences between developed and developing countries. Maternal mortality in western nations had been steadily falling, and forms the subject of annual reports and reviews. Yet, between 1987 and 2011, maternal mortality in the United States rose from 7.2 to 17.8 deaths per 100,000 live births, this is reflected in the Maternal Mortality Ratio (MMR). By contrast rates as high as 1,000 per birth are reported in the rest of the world, with the highest rates in Sub-Saharan Africa and South Asia, which account for 86% of such deaths. These deaths are rarely investigated, yet the World Health Organization considers that 99% of these deaths, the majority of which occur within 24 hours of childbirth, are preventable if the appropriate infrastructure, training, and facilities were in place. In these resource-poor countries, maternal health is further eroded by poverty and adverse economic factors which impact the roads, health care facilities, equipment and supplies in addition to limited skilled personnel. Other problems include cultural attitudes towards sexuality, contraception, child marriage, home birth and the ability to recognise medical emergencies. The direct causes of these maternal deaths are hemorrhage, eclampsia, obstructed labor, sepsis and unskilled abortion. In addition malaria and AIDS complicate pregnancy. In the period 2003–2009 hemorrhage was the leading cause of death, accounting for 27% of deaths in developing countries and 16% in developed countries.
Nutrition-sensitive approaches are difficult to link to women's nutritional status (5, 102). This is due to limited measurement of benefits to program beneficiaries, families, households, and communities, limited timeframes to evaluate long-term impact, logistical and political realities that make implementation difficult, and different priorities of different stakeholders in multisectoral programs (102). Many nutrition-sensitive approaches, as will be described, thus focus on more distal measures of impact (e.g., coverage, knowledge) and not more proximal measures of women's nutritional status (e.g., BMI, anemia status, etc.).