Yaya Sanni, Zegeye Betregiorgis, Ahinkorah Bright Opoku, Ameyaw Edward Kwabena, Seidu Abdul-Aziz, Shibre Gebretsadik
School of International Development and Global Studies, University of Ottawa, Ottawa, Canada.
The George Institute for Global Health, Imperial College London, London, UK.
Arch Public Health. 2020 Nov 12;78(1):115. doi: 10.1186/s13690-020-00501-3.
Programmatic and research agendas surrounding neonatal mortality are important to help countries attain the child health related 2030 Sustainable Development Goal (SDG). In Burundi, the Neonatal Mortality Rate (NMR) is 25 per 1000 live births. However, high quality evidence on the over time evolution of inequality in NMR is lacking. This study aims to address the knowledge gap by systematically and comprehensively investigating inequalities in NMR in Burundi with the intent to help the country attain SDG 3.2 which aims to reduce neonatal mortality to at least as low as 12 per 1000 live births by 2030.
The Burundi Demographic and Health Survey (BDHS) data for the periods of 2010 and 2016 were used for the analyses. The analyses were carried out using the WHO's HEAT version 3.1 software. Five equity stratifiers: economic status, education, residence, sex and subnational region were used as benchmark for measuring NMR inequality with time over 6 years. To understand inequalities from a broader perspective, absolute and relative inequality measures, namely Difference, Population Attributable Risk (PAR), Ratio, and Population Attributable Fraction (PAF) were calculated. Statistical significance was measured by computing corresponding 95% Confidence Intervals (CIs).
NMR in Burundi in 2010 and 2016 were 36.7 and 25.0 deaths per 1000 live births, respectively. We recorded large wealth-driven (PAR = -3.99, 95% CI; - 5.11, - 2.87, PAF = -15.95, 95% CI; - 20.42, - 11.48), education related (PAF = -6.64, 95% CI; - 13.27, - 0.02), sex based (PAR = -1.74, 95% CI; - 2.27, - 1.21, PAF = -6.97, 95% CI; - 9.09, - 4.86), urban-rural (D = 15.44, 95% CI; 7.59, 23.29, PAF = -38.78, 95% CI; - 45.24, - 32.32) and regional (PAR = -12.60, 95% CI; - 14.30, - 10.90, R = 3.05, 95% CI; 1.30, 4.80) disparity in NMR in both survey years, except that urban-rural disparity was not detected in 2016. We found both absolute and relative inequalities and significant reduction in these inequalities over time - except at the regional level, where the disparity remained constant during the study period.
Large survival advantage remains to neonates of women who are rich, educated, residents of urban areas and some regions. Females had higher chance of surviving their 28th birthday than male neonates. More extensive work is required to battle the NMR gap between different subgroups in the country.
围绕新生儿死亡率的规划和研究议程对于帮助各国实现与儿童健康相关的2030年可持续发展目标(SDG)至关重要。在布隆迪,新生儿死亡率(NMR)为每1000例活产25例。然而,缺乏关于NMR不平等随时间演变的高质量证据。本研究旨在通过系统全面地调查布隆迪NMR的不平等情况来填补这一知识空白,以帮助该国实现可持续发展目标3.2,该目标旨在到2030年将新生儿死亡率降至每1000例活产至少12例。
使用2010年和2016年布隆迪人口与健康调查(BDHS)数据进行分析。分析使用世界卫生组织的HEAT 3.1版软件进行。五个公平分层因素:经济状况、教育程度、居住地、性别和次国家区域被用作衡量6年期间NMR不平等随时间变化的基准。为了从更广泛的角度理解不平等,计算了绝对和相对不平等指标,即差异、人群归因风险(PAR)、比率和人群归因分数(PAF)。通过计算相应的95%置信区间(CIs)来衡量统计学显著性。
2010年和2016年布隆迪的NMR分别为每1000例活产36.7例和25.0例死亡。我们记录到在两个调查年份中,NMR在财富驱动(PAR = -3.99,95% CI:-5.11,-2.87;PAF = -15.95,95% CI:-20.42,-11.48)、教育相关(PAF = -6.64,95% CI:-13.27,-0.02)、性别(PAR = -1.74,95% CI:-2.27,-1.21;PAF = -6.97,95% CI:-9.09,-4.86)、城乡(D = 15.44,95% CI:7.59,23.29;PAF = -38.78,95% CI:-45.24,-32.32)和区域(PAR = -12.60,95% CI:-14.30,-10.90;R = 3.05,95% CI:1.30,4.80)方面存在差异,不过2016年未检测到城乡差异。我们发现了绝对和相对不平等,且这些不平等随时间显著减少——除了区域层面,该层面的差异在研究期间保持不变。
富裕、受过教育、居住在城市地区和某些区域的女性所生新生儿仍具有较大的生存优势。女性新生儿活到28岁的几率高于男性。需要开展更广泛的工作来消除该国不同亚组之间的NMR差距。