Identification and mitigation of high-risk pregnancy with the Community Maternal Danger Score Mobile Application in Gboko, Nigeria.

Journal article


Bola, R., Ujoh, F. and Lett, R. (2022). Identification and mitigation of high-risk pregnancy with the Community Maternal Danger Score Mobile Application in Gboko, Nigeria. PLoS ONE. 17 (9), p. e0275442. https://doi.org/10.1371/journal.pone.0275442
AuthorsBola, R., Ujoh, F. and Lett, R.
AbstractIntroduction Risk analyses within rural regions of Nigeria are not routinely conducted, yet could help inform access to skilled birth care. The objective of this study was to assess and compare the proportion of pregnant women at risk for maternal mortality or morbidity in Benue State, Nigeria by analysing data collected during routine antenatal visits and through the Community Maternal Danger Score (CMDS), a validated risk-analysis tool. Methods Two cohorts, comprised of pregnant women presenting to primary healthcare centres within Gboko, Benue State between 2015–2017 and 2020–2021, were included in this study. The 2015–2017 cohort had their risk assessed retrospectively through analysis of routinely collected data. Identification of risk was based on their age, parity, and disease status (HIV and diabetes). The 2020–2021 cohort had their risk assessed prospectively using the CMDS. Results Routinely collected data from 2015–2017 demonstrated that up to 14.9% of women in Gboko were at risk for mortality or morbidity. The CMDS reported that up to 21.5% of women were at a similar level of risk; a significant difference of 6.6% (p = 0.006). The CMDS was more efficient in obtaining and assessing this data, and the identification of risk occurred in real-time. Conclusion Routine data collected in Gboko identifies a high proportion of pregnant women at risk for mortality or morbidity. The CMDS is an evidence-based risk analysis tool that expands on this assessment by also estimating individual and community-level risk, which allows for more efficient mitigation and prevention strategies of maternal mortality.
KeywordsHumans; Retrospective Studies; Family; Pregnancy; Pregnancy, High-Risk; Nigeria; Female; Mobile Applications
Year2022
JournalPLoS ONE
Journal citation17 (9), p. e0275442
PublisherPublic Library of Science (PLoS)
ISSN1932-6203
Digital Object Identifier (DOI)https://doi.org/10.1371/journal.pone.0275442
Publication dates
Online29 Sep 2022
Print01 Jan 2022
Publication process dates
Deposited31 Oct 2022
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File Access Level
Open
LicenseCC BY
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