Tanya Marchant1, Emma Beaumont2, Krystyna Makowiecka2, Della Berhanu2, Tsegahun Tessema2, Meenakshi Gautham2, Kultar Singh2, Nasir Umar2, Adamu Umar Usman2, Keith Tomlin2, Simon Cousens2, Elizabeth Allen2, Joanna Armstrong Schellenberg2. 1. Faculties of Infectious and Tropical Diseases (Marchant, Berhanu, Gautham, Umar, Armstrong Schellenberg) and of Epidemiology and Population Health (Beaumont, Makowiecka, Tomlin, Cousens, Allen), London School of Hygiene & Tropical Medicine, London, UK; Ethiopian Public Health Institute (Berhanu) and JaRco Consulting (Tessema), Addis Ababa, Ethiopia; Sambodhi Research and Communications Pvt. Ltd. (Singh), New Delhi, India; Data Research and Mapping Consult (Usman), Abuja, Nigeria Tanya.Marchant@lshtm.ac.uk. 2. Faculties of Infectious and Tropical Diseases (Marchant, Berhanu, Gautham, Umar, Armstrong Schellenberg) and of Epidemiology and Population Health (Beaumont, Makowiecka, Tomlin, Cousens, Allen), London School of Hygiene & Tropical Medicine, London, UK; Ethiopian Public Health Institute (Berhanu) and JaRco Consulting (Tessema), Addis Ababa, Ethiopia; Sambodhi Research and Communications Pvt. Ltd. (Singh), New Delhi, India; Data Research and Mapping Consult (Usman), Abuja, Nigeria.
Abstract
BACKGROUND: Despite progress toward meeting the Sustainable Development Goals, a large burden of maternal and neonatal mortality persists for the most vulnerable people in rural areas. We assessed coverage, coverage change and inequity for 8 maternal and newborn health care indicators in parts of rural Nigeria, Ethiopia and India. METHODS: We examined coverage changes and inequity in 2012 and 2015 in 3 high-burden populations where multiple actors were attempting to improve outcomes. We conducted cluster-based household surveys using a structured questionnaire to collect 8 priority indicators, disaggregated by relative household socioeconomic status. Where there was evidence of a change in coverage between 2012 and 2015, we used binomial regression models to assess whether the change reduced inequity. RESULTS: In 2015, we interviewed women with a birth in the previous 12 months in Gombe, Nigeria (n = 1100 women), Ethiopia (n = 404) and Uttar Pradesh, India (n = 584). Among the 8 indicators, 2 positive coverage changes were observed in each of Gombe and Uttar Pradesh, and 5 in Ethiopia. Coverage improvements occurred equally for all socioeconomic groups, with little improvement in inequity. For example, in Ethiopia, coverage of facility delivery almost tripled, increasing from 15% (95% confidence interval [CI] 9%-25%) to 43% (95% CI 33%-54%). This change was similar across socioeconomic groups (p = 0.2). By 2015, the poorest women had about the same facility delivery coverage as the least poor women had had in 2012 (32% and 36%, respectively), but coverage for the least poor had increased to 60%. INTERPRETATION: Although coverage increased equitably because of various community-based interventions, underlying inequities persisted. Action is needed to address the needs of the most vulnerable women, particularly those living in the most rural areas.
BACKGROUND: Despite progress toward meeting the Sustainable Development Goals, a large burden of maternal and neonatal mortality persists for the most vulnerable people in rural areas. We assessed coverage, coverage change and inequity for 8 maternal and newborn health care indicators in parts of rural Nigeria, Ethiopia and India. METHODS: We examined coverage changes and inequity in 2012 and 2015 in 3 high-burden populations where multiple actors were attempting to improve outcomes. We conducted cluster-based household surveys using a structured questionnaire to collect 8 priority indicators, disaggregated by relative household socioeconomic status. Where there was evidence of a change in coverage between 2012 and 2015, we used binomial regression models to assess whether the change reduced inequity. RESULTS: In 2015, we interviewed women with a birth in the previous 12 months in Gombe, Nigeria (n = 1100 women), Ethiopia (n = 404) and Uttar Pradesh, India (n = 584). Among the 8 indicators, 2 positive coverage changes were observed in each of Gombe and Uttar Pradesh, and 5 in Ethiopia. Coverage improvements occurred equally for all socioeconomic groups, with little improvement in inequity. For example, in Ethiopia, coverage of facility delivery almost tripled, increasing from 15% (95% confidence interval [CI] 9%-25%) to 43% (95% CI 33%-54%). This change was similar across socioeconomic groups (p = 0.2). By 2015, the poorest women had about the same facility delivery coverage as the least poor women had had in 2012 (32% and 36%, respectively), but coverage for the least poor had increased to 60%. INTERPRETATION: Although coverage increased equitably because of various community-based interventions, underlying inequities persisted. Action is needed to address the needs of the most vulnerable women, particularly those living in the most rural areas.
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