ArticlePopulation health metrics2021
Neonatal and child mortality data in retrospective population-based surveys compared with prospective demographic surveillance: EN-INDEPTH study.
Article in Population health metrics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Comparison of pregnancy and neonatal outcomes in a retrospective full pregnancy history survey versus population-based prospective records: a validation study in rural Sarlahi District, Nepal.Journal of health, population, and nutrition · 2023Trial
- Pregnancy reporting and biases in under-five mortality in three African HDSSs.Population studies · 2025Article
- Identification of gaps in the continuum of maternal and neonatal care in a high-mortality setting: An observational study in rural Guinea-Bissau.Tropical medicine & international health : TM & IH · 2025Observational
- Measuring stillbirth and perinatal mortality rates through household surveys: a population-based analysis using an integrated approach to data quality assessment and adjustment with 157 surveys from 53 countries.The Lancet. Global health · 2023Review
- Divergent age patterns of under-5 mortality in south Asia and sub-Saharan Africa: a modelling study.The Lancet. Global health · 2022Article
- Article
- Mortality beyond emergency threshold in a silent crisis- results from a population-based mortality survey in Ouaka prefecture, Central African Republic, 2020.Conflict and health · 2021Article
- Stillbirth outcome capture and classification in population-based surveys: EN-INDEPTH study.Population health metrics · 2021Article
- Count Every Newborn: EN-INDEPTH study to improve pregnancy outcome measurement in population-based surveys.Population health metrics · 2021Article
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13 authors.
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Abstract
backgroundGlobal mortality estimates remain heavily dependent on household surveys in low- and middle-income countries, where most under-five deaths occur. Few studies have assessed the accuracy of mortality data or determinants of capturing births in surveys.
methodsThe Every Newborn-INDEPTH study (EN-INDEPTH) included a large, multi-country survey of women aged 15-49 interviewed about livebirths and their survival status in five Health and Demographic Surveillance Systems (HDSSs). The HDSSs undertake regular household visits to register births and deaths for a given population. We analysed EN-INDEPTH survey data to assess background factors associated with not recalling a complete date-of-birth. We calculated Kaplan-Meier survival estimates for both survey and HDSS data and describe age-at-death distributions during the past 5 years for children born to the same women. We assessed the proportion of HDSS-births that could be matched on month-of-birth to survey-births and used regression models to identify factors associated with matching.
results69,176 women interviewed in the survey reported 109,817 births and 3064 deaths in children under 5 years in the 5 years prior to the survey. In the HDSS data, the same women had 83,768 registered births and 2335 under-five deaths in the same period. A complete date-of-birth was not reported for 1-7% of survey-births. Birthdates were less likely to be complete for dead children and children born to women of higher parity or with little/no education. Distributions of reported age-at-death indicated heaping at full weeks (neonatal period) and at 12 months. Heaping was more pronounced in the survey data. Survey estimates of under-five mortality rates were similar to HDSS estimates of under-five mortality in two of five sites, higher in the survey in two sites (15%, 41%) and lower (24%) in one site. The proportion of HDSS-births matched to survey-births ranged from 51 to 89% across HDSSs and births of children who had died were less likely to be matched.
conclusionsMortality estimates in the survey and HDSS were not markedly different for most sites. However, neither source is a "gold standard" and both sources miss some events. Research is required to improve capture and accuracy to better track newborn and child survival targets.
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