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Displacements in reported date of birth and differences in age at death in surveys of child mortality: a record linkage study in Guinea-Bissau

Author

Listed:
  • Andreas Møller Jensen

    (University of Southern Denmark
    Bandim Health Project, INDEPTH Network)

  • Sanne Marie Thysen

    (Bispebjerg and Frederiksberg Hospital
    Bispebjerg and Frederiksberg Hospital)

  • Justiniano Sebastião Durga Martins

    (Bandim Health Project, INDEPTH Network)

  • Didier Abdel Fernandes

    (Bandim Health Project, INDEPTH Network)

  • Amabelia Rodrigues

    (Bandim Health Project, INDEPTH Network)

  • Stéphane Helleringer

    (New York University Abu Dhabi)

  • Ane Bærent Fisker

    (University of Southern Denmark
    Bandim Health Project, INDEPTH Network)

Abstract

Child mortality data in low- and middle-income countries are often derived from survey data prone to imprecision due to recall. Such imprecisions can affect the accuracy of date of birth (DOB) and age at death (AAD). Bandim Health Project runs two Health and Demographic Surveillance Systems (HDSSs) collecting prospective information on pregnancies, births, and deaths in Guinea-Bissau. In a survey, HDSS resident women were interviewed on their births and survival status of their children born within 5 years prior to the interview. We matched child records in the survey data to their corresponding records in the HDSS data based on sex, name, birth order, twinning status, and sibling names. We compared the risk and magnitude of displacement in DOB and AAD in regression models to identify risk factors for displacement. A total of 7679 out of 9960 survey-reported live births (78%) were matched to HDSS-reported births. Displacement in month or year of birth was observed for 9%, with a median displacement of 30 days backwards. Child death was associated with larger risk of displacement in DOB (adjusted risk ratio: 5.16 (95% confidence interval: 4.44–5.99)) and greater magnitude of displacement. A longer recall period was also associated with a greater risk of displacement. Among 339 children who had died, 68% had a discrepancy in AAD with 34% of these exceeding 1 week. Discrepancies were common and more likely for longer recall periods and children who had died. Hence, the interpretation of temporal mortality patterns from survey data may be compromised.

Suggested Citation

  • Andreas Møller Jensen & Sanne Marie Thysen & Justiniano Sebastião Durga Martins & Didier Abdel Fernandes & Amabelia Rodrigues & Stéphane Helleringer & Ane Bærent Fisker, 2025. "Displacements in reported date of birth and differences in age at death in surveys of child mortality: a record linkage study in Guinea-Bissau," Journal of Population Research, Springer, vol. 42(2), pages 1-18, June.
  • Handle: RePEc:spr:joprea:v:42:y:2025:i:2:d:10.1007_s12546-025-09367-0
    DOI: 10.1007/s12546-025-09367-0
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    References listed on IDEAS

    as
    1. Kenneth Hill & Yoonjoung Choi, 2006. "Neonatal mortality in the developing world," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 14(18), pages 429-452.
    2. United Nations UN, 2015. "Transforming our World: the 2030 Agenda for Sustainable Development," Working Papers id:7559, eSocialSciences.
    3. Anna Folke Larsen & Derek Headey & William A. Masters, 2019. "Misreporting Month of Birth: Diagnosis and Implications for Research on Nutrition and Early Childhood in Developing Countries," Demography, Springer;Population Association of America (PAA), vol. 56(2), pages 707-728, April.
    4. Stéphane Helleringer & Li Liu & Yue Chu & Amabelia Rodrigues & Ane Barent Fisker, 2020. "Biases in Survey Estimates of Neonatal Mortality: Results From a Validation Study in Urban Areas of Guinea-Bissau," Demography, Springer;Population Association of America (PAA), vol. 57(5), pages 1705-1726, October.
    5. repec:osf:socarx:qx2kn_v1 is not listed on IDEAS
    6. Helleringer, Stephane & Liu, Li & Chu, Yue & Rodrigues, Amabelia & Fisker, Ane Baerent, 2020. "Biases in Survey Estimates of Neonatal Mortality: Results from a Validation Study in Urban Areas of Guinea-Bissau," SocArXiv qx2kn, Center for Open Science.
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