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Determinants of maternal near-miss cases at two selected central hospitals in Malawi

BACKGROUND: Maternal near-miss cases occur in larger numbers than maternal deaths hence they require comprehensive analysis when studied. However, there is scarcity of information on determinants of maternal near-miss cases in Malawi. Therefore, this study aimed at establishing the determinants of m...

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Autores principales: Kachale, Fannie, Malata, Address Mauakowa, Chorwe-Sungani, Genesis, Maluwa, Alfred, Chirwa, Ellen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Medical Association Of Malawi 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9023033/
https://www.ncbi.nlm.nih.gov/pubmed/35509985
http://dx.doi.org/10.4314/mmj.v33iS.2
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author Kachale, Fannie
Malata, Address Mauakowa
Chorwe-Sungani, Genesis
Maluwa, Alfred
Chirwa, Ellen
author_facet Kachale, Fannie
Malata, Address Mauakowa
Chorwe-Sungani, Genesis
Maluwa, Alfred
Chirwa, Ellen
author_sort Kachale, Fannie
collection PubMed
description BACKGROUND: Maternal near-miss cases occur in larger numbers than maternal deaths hence they require comprehensive analysis when studied. However, there is scarcity of information on determinants of maternal near-miss cases in Malawi. Therefore, this study aimed at establishing the determinants of maternal near-miss cases at two selected central hospitals in Malawi. METHODS: This was a case control study that utilized a quantitative approach. A random sample of 458 case files comprising maternal near-miss cases (161) and non-cases (297) was drawn using a ratio of 1:1.8. Data were analyzed using Stata 14 to generate descriptive statistics, Chi Square values to describe the data and determine associations among variables and logistic regression was conducted to determine the determinants of maternal near-miss. RESULTS: We found significant differences between demographic characteristics (marital status, occupation, admission mode, means of transport and age) of maternal near-miss cases and the non-cases (P<0.05). Age and mode of birth were found to be significantly associated (P<0. 05) with maternal near-miss. Women aged 31–35 years were 3.14 times more likely to experience maternal near-miss [OR=3.14, 95% CI: 1.09, 9.02, p=0.03] compared to those aged less than 20 years. Furthermore, emergency caesarean [OR=4.08, 95% CI: 2.34, 7.09, p=0.001] and laparotomy for uterine rupture [OR=83.49, 95% CI: 10.49, 664.55, P=0.001] were significantly associated with maternal near-miss. CONCLUSION: Among pregnant women, health workers need to pay close attention to factors such as age and mode of birth for them to implement targeted maternal health services in order to reduce incidence of maternal near-miss cases.
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spelling pubmed-90230332022-05-03 Determinants of maternal near-miss cases at two selected central hospitals in Malawi Kachale, Fannie Malata, Address Mauakowa Chorwe-Sungani, Genesis Maluwa, Alfred Chirwa, Ellen Malawi Med J Original Research BACKGROUND: Maternal near-miss cases occur in larger numbers than maternal deaths hence they require comprehensive analysis when studied. However, there is scarcity of information on determinants of maternal near-miss cases in Malawi. Therefore, this study aimed at establishing the determinants of maternal near-miss cases at two selected central hospitals in Malawi. METHODS: This was a case control study that utilized a quantitative approach. A random sample of 458 case files comprising maternal near-miss cases (161) and non-cases (297) was drawn using a ratio of 1:1.8. Data were analyzed using Stata 14 to generate descriptive statistics, Chi Square values to describe the data and determine associations among variables and logistic regression was conducted to determine the determinants of maternal near-miss. RESULTS: We found significant differences between demographic characteristics (marital status, occupation, admission mode, means of transport and age) of maternal near-miss cases and the non-cases (P<0.05). Age and mode of birth were found to be significantly associated (P<0. 05) with maternal near-miss. Women aged 31–35 years were 3.14 times more likely to experience maternal near-miss [OR=3.14, 95% CI: 1.09, 9.02, p=0.03] compared to those aged less than 20 years. Furthermore, emergency caesarean [OR=4.08, 95% CI: 2.34, 7.09, p=0.001] and laparotomy for uterine rupture [OR=83.49, 95% CI: 10.49, 664.55, P=0.001] were significantly associated with maternal near-miss. CONCLUSION: Among pregnant women, health workers need to pay close attention to factors such as age and mode of birth for them to implement targeted maternal health services in order to reduce incidence of maternal near-miss cases. The Medical Association Of Malawi 2021-04 /pmc/articles/PMC9023033/ /pubmed/35509985 http://dx.doi.org/10.4314/mmj.v33iS.2 Text en © 2021 The College of Medicine and the Medical Association of Malawi. https://creativecommons.org/licenses/by-nc-nd/4.0/This work is licensed under the Creative Commons Attribution 4.0 International License. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) )
spellingShingle Original Research
Kachale, Fannie
Malata, Address Mauakowa
Chorwe-Sungani, Genesis
Maluwa, Alfred
Chirwa, Ellen
Determinants of maternal near-miss cases at two selected central hospitals in Malawi
title Determinants of maternal near-miss cases at two selected central hospitals in Malawi
title_full Determinants of maternal near-miss cases at two selected central hospitals in Malawi
title_fullStr Determinants of maternal near-miss cases at two selected central hospitals in Malawi
title_full_unstemmed Determinants of maternal near-miss cases at two selected central hospitals in Malawi
title_short Determinants of maternal near-miss cases at two selected central hospitals in Malawi
title_sort determinants of maternal near-miss cases at two selected central hospitals in malawi
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9023033/
https://www.ncbi.nlm.nih.gov/pubmed/35509985
http://dx.doi.org/10.4314/mmj.v33iS.2
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