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{"id":5982,"date":"2019-04-05T10:36:44","date_gmt":"2019-04-05T10:36:44","guid":{"rendered":"https:\/\/www.s4f.solutions\/?p=5982"},"modified":"2021-04-05T14:16:43","modified_gmt":"2021-04-05T14:16:43","slug":"reducing-maternal-mortality-in-sudan-a-hybrid-framework","status":"publish","type":"post","link":"https:\/\/www.s4f.solutions\/reducing-maternal-mortality-in-sudan-a-hybrid-framework\/","title":{"rendered":"Reducing Maternal Mortality in Sudan: a hybrid framework"},"content":{"rendered":"\n


Sudan has been categorized as a humanitarian emergency for decades. Since its independence in 1956, Sudan has experienced the protracted trauma of armed conflict, political instability, and natural disasters. Living with geopolitical turmoil at each of its borders for more than 50 years has led to pernicious corruption, erosion of state infrastructure, and the collapse of the civic services and economy. During the continuing desperation, the women of Sudan suffer unparallel abuse, most evident in their maternal mortality. I find no easy fix, but this is an effort to build a framework to coordinate symptoms and remedies.<\/p>\n\n\n\n

The extent of the maternal health crisis<\/strong><\/h2>\n\n\n\n

The continuing national dysfunction has created the large-scale displacement of people from rural areas to city centers with already burdened and crumbling health systems. \u201cYears of social conflict and civil war in Sudan have undermined investor confidence\u201d (2019 Index of Economic Freedom) and have relocated massive numbers of citizens and impoverished more. \u201cPoor governance, weak rule of law, rigid labor markets, and an inefficient regulatory regime have impeded economic diversification and created a large informal economy\u201d (2019 Index of Economic Freedom). These circumstances have lowered Sudan\u2019s economic freedom ranking to 41st among the 47th countries in the Sub-Saharan region and 145th in the overall Prosperity Index. And, \u201cSince the Prosperity Index began in 2007, Sudan has moved down the rankings table by six places\u201d (The Legatum Prosperity Index 2018).<\/p>\n\n\n\n

Connecting more dots in the web of colliding factors, the inequality among Sudanese household incomes contributes to poorer health as measured by life expectancy, infant mortality, stunting, food consumption, teen births, and vaccination rates. According to the World Health Organization (WHO) (Sudan, 2019), the life expectancy at birth in Sudan is 63\/87 years. But the probability of dying under the age of five is 63 in 1,000 births (0.06%) and between the ages of 15 and 60 years is 253\/195 per 1,000 (23.3%\/19.5%). This reflects the low total expenditure on health at 8.4% of Sudan\u2019s GDP (2014).<\/p>\n\n\n\n

Where income is less unequal, metrics report marginally better health outcomes. Nonetheless, in conflict zones, those metrics may not be trustworthy. The social capital created by or through inequality and conflict occasion poor health. Policy and decision-makers must consider actions \u201cto prevent both war and economic inequality as equally important to other public health interventions. Living in a more equal society could be the best medicine for a healthier and better life\u201d (Omer, et al., 2014, p. 1230).<\/p>\n\n\n\n

The impact of violence against women on maternal health<\/strong><\/p>\n\n\n\n

Sudan continues to fail its Millennium Development Goals (MDGs) and now lags in its Sustainable Development Goals (SDGs). Its SDG Global rank is 143 out of 156, and global index score is 49.6, 6.1 below the regional average (52.8) (Sachs, Schmidt-Traub, & Kroll, 2018). For example, its maternal mortality is high at 311 per 100,000 live births (Sudan, 2019). The slight statistical improvement in recent years disappears in the context of intrastate variations shown in Figure 1 below (Maternal mortality ratio, 2019).<\/p>\n\n\n\n

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Figure 1. Sudan Maternal mortality ratio (modeled estimate, per 100,000 live births). 1990-2015 (WB, 2019).<\/p>\n\n\n\n

The highly-impacted States of Darfur, Blue Nile, South Kordofan, and East Sudan represent the least developed and most-conflicted areas in Sudan where pregnancy resulting from sexual violence and rape are weapons of war (Stone, 2017). Sudan\u2019s Cabinet of Ministry, in conjunction with UNICEF, displays the Maternal mortality statistics in Figure 2 (Facts and Figures based on MDGs indicators, 2019).<\/p>\n\n\n\n

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Figure 2: Proportion of regular visits to antenatal care in conflict-affected states.<\/p>\n\n\n\n

Moreover, the accessibility and use of contraceptives are very low, standing at 12% (Contraceptive prevalence, 2019). This leaves demands for contraception at 26.60% unmet and the need for family planning by modern methods at 30% satisfied as shown in Figure 3 (Contraceptive prevalence, 2019).<\/p>\n\n\n\n

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Figure 3. The prevalence of contraceptive and unmet need for family planning in Sudan, 2015 (WB, 2019).<\/p>\n\n\n\n

There remain several barriers to access and utilization of family planning methods ranging from lack of awareness, religious and sociocultural factors, and Availability, Accessibility, Affordability, Appropriateness, Acceptability issues (A5) (Homer, et al., 2018). Exacerbating these adverse conditions, African women are subject to the continuing tradition of female genital cutting (FGC) or female genital mutilation (FGM) marking 87% of Sudan\u2019s women aged 15-49 with 74% of them severely mutilated with \u201cinfibulation\u201d (Female genital mutilation prevalence (%), 2019).<\/p>\n\n\n\n

Female genital cutting poses severe physical and mental health risks for girls and women. WHO has shown the adverse obstetric and neonatal outcomes for the mutilated women and girls (WHO guidelines on, 2014). And, the FGC-affected women in conflict-affected states are exposed to higher maternal mortality risks due to the lack of access to emergency obstetric care. \u201cIn conclusion, improving quality of maternal and neonatal health services requires interventions that are quickly achievable, sustainable and cost-effective. It needs concerted efforts of governments, international organizations, civil society, media, corporate sector, and others to identify and implement cost-effective [sic] solutions that would save lives of thousand mothers and newborns in Sudan\u201d (Abdel-Tawab & El-Rabbat, 2010, p. 13).<\/p>\n\n\n\n

The evolution of a model framework<\/strong><\/h2>\n\n\n\n

The Health Information Systems Strengthening Center lists no National Health Strategy for Sudan (National Health Strategy, 2019). The current reproductive health strategy, WHO\u2019s \u201cRoad Map to Reduce Maternal Mortality,\u201d is not reinforced in Sudan by supportive health policy and political will able to address the injustice and systems barriers. It is used by the government to mobilize the donors\u2019 funding.<\/p>\n\n\n\n

Addressing health inequities starts at the national government level where resources are supposed to be allocated based on needs supported by robust national statistics. However, as The Guardian <\/a>says; \u201cAlthough aid saves lives, and warring parties in conflict have an obligation to allow the delivery of humanitarian assistance to civilians, preventing it from reaching people is rarely punished\u201d (Wheeler, 2017).<\/p>\n\n\n\n

The intervention to address the Sudanese complex health inequities proposed here begins with Wagner\u2019s Chronic Care Model (WCMM) shown here in Figure 4 (Gee, 2015). It displays six interdependent components: (1) community resources, (2) health system support, (3) self-management support, (4) delivery system design, (5) decision support, and (6) clinical information systems.<\/p>\n\n\n\n

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Figure 4: Image from Pixaby.<\/p>\n\n\n\n

Another reimagining of the process suggests the randomized or floating conditions and factors searching for interactive and integrated relationships to produce more effective outcomes desired by the community.<\/p>\n\n\n\n

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Figure 5: Image from (Manca, et al., 2018).<\/p>\n\n\n\n

The S4F Solutions\u2122<\/a> (Systems for Future Solutions) model proposed later evolves from the integrated values in the preceding visuals with the WCMM and MNCH (Health Systems Framework For Maternal, Neonatal, and Child Health) models in Figure 6 (Ergo, Eichler, & Shah, 2011).<\/p>\n\n\n\n

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Figure 6: Image from (Ergo, Eichler, & Shah, 2011).<\/p>\n\n\n\n

The proposed expanded and integrated solution speaks to the evidence-based interventions to eradicate existing health inequalities making necessary changes in the health system, such as it is, and revamping the dynamic to reduce Maternal Morbidity and Mortality (MMM) in The Republic of Sudan.<\/p>\n\n\n\n