Identification and mitigation of high-risk pregnancy with the Community Maternal Danger Score Mobile Application in Gboko, Nigeria
<h4>Introduction</h4> 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...
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| Format: | Article |
| Language: | English |
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Public Library of Science (PLoS)
2022-01-01
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| Series: | PLoS ONE |
| Online Access: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9521834/?tool=EBI |
| _version_ | 1828220718079279104 |
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| author | Rajan Bola Fanan Ujoh Ronald Lett |
| author_facet | Rajan Bola Fanan Ujoh Ronald Lett |
| author_sort | Rajan Bola |
| collection | DOAJ |
| description | <h4>Introduction</h4> 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. <h4>Methods</h4> 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. <h4>Results</h4> 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. <h4>Conclusion</h4> 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. |
| first_indexed | 2024-04-12T16:30:40Z |
| format | Article |
| id | doaj.art-fe1db93abc4e49a2b1d2c3373d324b93 |
| institution | Directory Open Access Journal |
| issn | 1932-6203 |
| language | English |
| last_indexed | 2024-04-12T16:30:40Z |
| publishDate | 2022-01-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS ONE |
| spelling | doaj.art-fe1db93abc4e49a2b1d2c3373d324b932022-12-22T03:25:09ZengPublic Library of Science (PLoS)PLoS ONE1932-62032022-01-01179Identification and mitigation of high-risk pregnancy with the Community Maternal Danger Score Mobile Application in Gboko, NigeriaRajan BolaFanan UjohRonald Lett<h4>Introduction</h4> 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. <h4>Methods</h4> 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. <h4>Results</h4> 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. <h4>Conclusion</h4> 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.https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9521834/?tool=EBI |
| spellingShingle | Rajan Bola Fanan Ujoh Ronald Lett Identification and mitigation of high-risk pregnancy with the Community Maternal Danger Score Mobile Application in Gboko, Nigeria PLoS ONE |
| title | Identification and mitigation of high-risk pregnancy with the Community Maternal Danger Score Mobile Application in Gboko, Nigeria |
| title_full | Identification and mitigation of high-risk pregnancy with the Community Maternal Danger Score Mobile Application in Gboko, Nigeria |
| title_fullStr | Identification and mitigation of high-risk pregnancy with the Community Maternal Danger Score Mobile Application in Gboko, Nigeria |
| title_full_unstemmed | Identification and mitigation of high-risk pregnancy with the Community Maternal Danger Score Mobile Application in Gboko, Nigeria |
| title_short | Identification and mitigation of high-risk pregnancy with the Community Maternal Danger Score Mobile Application in Gboko, Nigeria |
| title_sort | identification and mitigation of high risk pregnancy with the community maternal danger score mobile application in gboko nigeria |
| url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9521834/?tool=EBI |
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