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Biases in Survey Estimates of Neonatal Mortality: Results From a Validation Study in Urban Areas of Guinea-Bissau.
Demography ( IF 4.222 ) Pub Date : 2020-09-10 , DOI: 10.1007/s13524-020-00911-6
Stéphane Helleringer 1 , Li Liu 2 , Yue Chu 3 , Amabelia Rodrigues 4 , Ane Barent Fisker 4, 5
Affiliation  

Neonatal deaths (occurring within 28 days of birth) account for close to one-half of all deaths among children under age 5 worldwide. In most low- and middle-income countries, data on neonatal deaths come primarily from household surveys. We conducted a validation study of survey data on neonatal mortality in Guinea-Bissau (West Africa). We used records from an urban health and demographic surveillance system (HDSS) that monitors child survival prospectively as our reference data set. We selected a stratified sample of 599 women aged 15–49 among residents of the HDSS and collected the birth histories of 422 participants. We cross-tabulated survey and HDSS data. We used a mathematical model to investigate biases in survey estimates of neonatal mortality. Reporting errors in survey data might lead to estimates of the neonatal mortality rate that are too high, which may limit our ability to track progress toward global health objectives.

中文翻译:

新生儿死亡率调查估计的偏差:几内亚​​比绍城市地区验证研究的结果。

新生儿死亡(发生在出生后 28 天内)占全世界 5 岁以下儿童死亡总数的近一半。在大多数低收入和中等收入国家,新生儿死亡数据主要来自家庭调查。我们对几内亚比绍(西非)新生儿死亡率的调查数据进行了验证研究。我们使用来自城市健康和人口监测系统 (HDSS) 的记录作为我们的参考数据集,该系统前瞻性地监测儿童的生存情况。我们在 HDSS 居民中选择了 599 名 15-49 岁女性的分层样本,并收集了 422 名参与者的出生史。我们对调查和 HDSS 数据进行了交叉制表。我们使用数学模型来调查新生儿死亡率调查估计中的偏差。
更新日期:2020-09-10
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