Imperial College London
Alternate

Jeff Imai-Eaton

Faculty of Medicine, School of Public Health

Senior Research Fellow
 
 
 
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Contact

 

jeffrey.eaton

 
 
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Location

 

UG7Norfolk PlaceSt Mary's Campus

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Summary

 

Publications

Citation

BibTex format

@article{Eilerts:2022:10.23889/ijpds.v7i4.1762,
author = {Eilerts, H and Romero, Prieto J and Ambia, J and Khagayi, S and Kabudula, C and Eaton, J and Reniers, G},
doi = {10.23889/ijpds.v7i4.1762},
journal = {International Journal of Population Data Science},
title = {Evaluating pregnancy reporting in Siaya Health and Demographic Surveillance System through record linkage with ANC clinics},
url = {http://dx.doi.org/10.23889/ijpds.v7i4.1762},
volume = {7},
year = {2022}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - IntroductionHealth and Demographic Surveillance Systems (HDSS) are important sources of population health data in sub-Saharan Africa, but the recording of pregnancies, pregnancy outcomes, and early mortality is often incomplete.ObjectiveThis study assessed HDSS pregnancy reporting completeness and identified predictors of unreported pregnancies that likely ended in adverse outcomes.MethodsThe analysis utilized individually-linked HDSS and antenatal care (ANC) data from Siaya, Kenya for pregnancies in 2018-2020. We cross-checked ANC records with HDSS pregnancy registrations and outcomes. Pregnancies observed in the ANC that were missing reports in the HDSS despite a data collection round following the expected delivery date were identified as likely adverse outcomes, and we investigated the characteristics of such individuals. Clinical data were used to investigate the timing of HDSS pregnancy registration relative to care seeking and gestational age, and examine misclassification of miscarriages and stillbirths.ResultsFrom an analytical sample of 2,475 pregnancies observed in the ANC registers, 46% had pregnancy registrations in the HDSS, and 89% had retrospectively reported pregnancy outcomes. 1% of registered pregnancies were missing outcomes, compared to 10% of those lacking registration. Registered pregnancies had higher rates of stillbirth and perinatal mortality than those lacking registration. In 77% of cases, women accessed ANC prior to registering the pregnancy in the HDSS. Half of reported miscarriages were misclassified stillbirths. We identified 141 unreported pregnancies that likely ended in adverse outcomes. Such cases were more common among those who visited ANC clinics during the first trimester, made fewer overall visits, were HIV-positive, and outside of formal union.ConclusionsRecord linkage with ANC clinics revealed pregnancy underreporting in HDSS, resulting in biased measurement of perinatal mortality. Integrating records of ANC usage into rout
AU  - Eilerts,H
AU  - Romero,Prieto J
AU  - Ambia,J
AU  - Khagayi,S
AU  - Kabudula,C
AU  - Eaton,J
AU  - Reniers,G
DO  - 10.23889/ijpds.v7i4.1762
PY  - 2022///
SN  - 2399-4908
TI  - Evaluating pregnancy reporting in Siaya Health and Demographic Surveillance System through record linkage with ANC clinics
T2  - International Journal of Population Data Science
UR  - http://dx.doi.org/10.23889/ijpds.v7i4.1762
UR  - http://hdl.handle.net/10044/1/98886
VL  - 7
ER  -
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