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
- PMID: 37167983
- PMCID: PMC10188368
- DOI: 10.1016/S2214-109X(23)00125-0
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
Erratum in
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Correction to Lancet Glob Health 2023; 11: e854-61.Lancet Glob Health. 2023 Aug;11(8):e1182. doi: 10.1016/S2214-109X(23)00242-5. Epub 2023 May 17. Lancet Glob Health. 2023. PMID: 37209703 Free PMC article. No abstract available.
Abstract
Background: In most low-income and middle-income countries (LMICs), national surveys are the main data source for stillbirths and perinatal mortality. Data quality issues such as under-reporting and misreporting have greatly limited the usefulness of such data. We aimed to enhance the use of mortality data in surveys by proposing data quality metrics and exploring adjustment procedures to obtain the best possible measure of perinatal mortality.
Methods: We performed a population-based analysis of data from 157 demographic and health surveys (DHSs) from 1990 to 2020, with reproductive calendar and birth history data from 53 LMICs. Pregnancies terminated before 7 months' gestation were excluded. We examined data quality and compared survey values with reference values obtained from a literature review to assess misreporting of the age at early neonatal death, omission and transference of stillbirths, and very early neonatal deaths. Real cohort life-table rates of stillbirth, early neonatal, and perinatal mortality per 1000 births were calculated. The underlying risks of stillbirth and daily deaths were modelled using modified Gompertz-Makeham models.
Findings: Data for 2 008 807 pregnancies of ≥7 months' gestational age were extracted from the reproductive calendar for the analysis period. Age heaping at day 7 occurred in most surveys. The median value for the heaping index of deaths at day 7 was 2·05 (IQR 1·36-2·87). The median ratio of stillbirths to deaths on days 0-1 was 1·15 (0·86-1·51). Of the 157 surveys, 23 (15%) were considered to have plausible ratios, 71 (45%) had probable ratios, and 63 (40%) had improbable ratios. The ratio of deaths on days 0-1 to deaths on days 2-6 varied considerably between surveys and 119 surveys (76%) had ratios of less than 2·4, indicative of under-reporting of very early neonatal deaths in most surveys. The fully adjusted model increased the median stillbirth rates from 12·2 (9·4-15·9) to 25·6 (18·0-33·4) per 1000 births, with a median relative increase of 95·0% (56·6-136·6). The median perinatal mortality rate also increased from 32·6 (23·6-38·3) to 44·8 (32·8-58·0) per 1000 births, with a median relative increase of 47·8% (6·9-61·0).
Interpretation: A simultaneous focus on stillbirths and early neonatal mortality facilitates a comprehensive assessment of inaccurate reporting in household surveys and allows for better use of surveys in planning and monitoring of efforts to reduce stillbirths and early neonatal mortality.
Funding: None.
Copyright © 2023 World Health Organization. Published by Elsevier Ltd. All rights reserved. This is an Open Access article published under the CC BY 3.0 IGO license which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. In any use of this article, there should be no suggestion that WHO endorses any specific organisation, products or services. The use of the WHO logo is not permitted. This notice should be preserved along with the article's original URL.
Conflict of interest statement
Declaration of interests We declare no competing interests. MMA and SB are staff members of WHO. TB is a professor at the Institute for Global Public Health, Max Rady Faculty of Health Sciences, University of Manitoba. The authors alone are responsible for the views expressed in this publication, and they do not necessarily represent the decisions, policy, or views of WHO or University of Manitoba. The country names used do not imply the expression of any opinion whatsoever on the part of WHO or University of Manitoba concerning the legal status of any country, territory, city, or area, or of its authorities.
Figures
Comment in
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The importance of quality data to track global progress in addressing stillbirths and neonatal mortality.Lancet Glob Health. 2023 Jun;11(6):e801-e802. doi: 10.1016/S2214-109X(23)00200-0. Epub 2023 May 8. Lancet Glob Health. 2023. PMID: 37167984 No abstract available.
References
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- UN Inter-agency Group for Child Mortality Estimation A neglected tragedy: the global burden of stillbirths. https://data.unicef.org/resources/a-neglected-tragedy-stillbirth-estimat...
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- WHO Newborns: improving survival and well-being. 2020. https://www.who.int/news-room/fact-sheets/detail/newborns-reducing-morta...
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- WHO Sustainable Development Goals (SDG) https://www.who.int/health-topics/sustainable-development-goals#tab=tab_1
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- WHO. UNICEF . World Health Organization; Geneva: 2014. Every newborn: an action plan to end preventable deaths.https://apps.who.int/iris/bitstream/handle/10665/127938/9789241507448_en...
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