Horwood Geneviève, Opondo Charles, Choudhury Saswati Sanyal, Rani Anjali, Nair Manisha
Nuffield Department of Population Health, University of Oxford, Oxford, Oxfordshire, UK.
Department of Obstetrics and Gynaecology, Gauhati Medical College and Hospital, Guwahati, Assam, India.
BMJ Open. 2020 Aug 20;10(8):e038910. doi: 10.1136/bmjopen-2020-038910.
To examine the risk factors for pregnancy-related death in India's nine Empowered Action Group (EAG) states.
Secondary data analysis of the Indian Annual Health Survey (2010-2013).
Nine states: Assam, Bihar, Chhattisgarh, Jharkhand, Madhya Pradesh, Odisha, Rajasthan, Uttar Pradesh and Uttarakhand.
1 989 396 pregnant women.
Maternal mortality ratio (MMR), overall and for each state, with 95% CI was calculated. Stepwise multivariable logistic regression was used to investigate the association of risk factors with maternal mortality. Area under the receiver-operating characteristic (AUROC) curve was used to assess the prediction of the model.
MMR adjusted for survey design, adjusted OR (aOR)with 95% CI and C-statistic with 95% CI.
MMR calculated for the nine states was 383/100 000 live births (95% CI 346 to 423 per 100 000). Age exhibited a U-shaped association with maternal mortality. Not having a health scheme and belonging to a scheduled caste or scheduled tribe group were significant risk factors for maternal death with aOR of 2.72 (95% CI 2.41 to 3.07), 1.10 (95% CI 1.02 to 1.18) and 1.43 (95% CI 1.31 to 1.56), respectively. Socioeconomic status and rural residence were not associated with maternal mortality after adjusting for access to a healthcare facility. Complications of pregnancy and medical comorbidities were the strongest risk factors for maternal death (aOR 50.2, 95% CI 44.5 to 56.6). Together, the risk factors identified accounted for 89% (95% CI 0.887 to 0.894) of the AUROC.
Maternal mortality in India's EAG states greatly exceeds the national average. The identified risk factors demonstrate the importance of improving the quality of pregnancy care. Notably, the study showed that the risk conferred by poor socioeconomic status could be mitigated by universal access to healthcare during pregnancy and childbirth.
研究印度九个经济社会落后地区邦(EAG)与妊娠相关死亡的危险因素。
对印度年度健康调查(2010 - 2013年)进行二次数据分析。
九个邦:阿萨姆邦、比哈尔邦、恰蒂斯加尔邦、贾坎德邦、中央邦、奥里萨邦、拉贾斯坦邦、北方邦和北阿坎德邦。
1989396名孕妇。
计算各邦及总体的孕产妇死亡率(MMR)及其95%置信区间。采用逐步多变量逻辑回归分析危险因素与孕产妇死亡的关联。使用受试者工作特征曲线下面积(AUROC)评估模型的预测能力。
经调查设计调整后的MMR、调整后的比值比(aOR)及其95%置信区间和C统计量及其95%置信区间。
九个邦计算得出的MMR为383/10万活产(95%置信区间为每10万例346至423例)。年龄与孕产妇死亡率呈U型关联。没有健康保险计划以及属于在册种姓或在册部落群体是孕产妇死亡的重要危险因素,其aOR分别为2.72(95%置信区间为2.41至3.07)、1.10(95%置信区间为1.02至1.18)和1.43(95%置信区间为1.31至1.56)。在调整获得医疗保健设施的情况后,社会经济地位和农村居住情况与孕产妇死亡率无关。妊娠并发症和合并症是孕产妇死亡的最强危险因素(aOR为50.2,95%置信区间为44.5至56.6)。所确定的危险因素共同占AUROC的89%(95%置信区间为0.887至0.894)。
印度EAG各邦的孕产妇死亡率大大超过全国平均水平。所确定的危险因素表明了改善孕期护理质量的重要性。值得注意的是,该研究表明,在孕期和分娩期间普遍获得医疗保健可减轻社会经济地位低下所带来的风险。