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Predictors of neonatal mortality in Ghana: evidence from 2017 Ghana maternal health survey
BACKGROUND: Neonatal mortality contributes about 47% of child mortality globally and over 50% of under-5 deaths in Ghana. There is limited population level analysis done in Ghana on predictors of neonatal mortality. OBJECTIVES: The objective of the study was to examine the predictors of neonatal mor...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10394848/ https://www.ncbi.nlm.nih.gov/pubmed/37533034 http://dx.doi.org/10.1186/s12884-023-05877-y |
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author | Adongo, Emmanuel Ayire Ganle, John Kuumuori |
author_facet | Adongo, Emmanuel Ayire Ganle, John Kuumuori |
author_sort | Adongo, Emmanuel Ayire |
collection | PubMed |
description | BACKGROUND: Neonatal mortality contributes about 47% of child mortality globally and over 50% of under-5 deaths in Ghana. There is limited population level analysis done in Ghana on predictors of neonatal mortality. OBJECTIVES: The objective of the study was to examine the predictors of neonatal mortality in Ghana. METHOD: This study utilizes secondary data from the 2017 Ghana Maternal Health Survey (GMHS). The GMHS survey focuses on population and household characteristics, health, nutrition, and lifestyle with particular emphasis on topics that affect the lives of newborns and women, including mortality levels, fertility preferences and family planning methods. A total of 10,624 respondents were included in the study after data cleaning. Descriptive statistical techniques were used to describe important background characteristics of the women and Pearson’s Chi-squares (χ(2)) test used to assess association between the outcome (neonatal death) and independent variables. Multivariate logistic regression analysis was done to estimate odd ratios and potential confounders controlled. Confidence level was held at 95%, and a p < 0.05 was considered statistically significant. Data analysis was done using STATA 15. RESULTS: The prevalence of neonatal mortality was 18 per 1000 live births. ANC attendance, sex of baby, and skin-to-skin contact immediately after birth were predictors of neonatal mortality. Women with at least one ANC visit were less likely to experience neonatal mortality as compared to women with no ANC visit prior to delivery (AOR = 0.11; CI = 0.02–0.56, p = 0.01). Girls were less likely (AOR = 0.68; CI = 0.47–0.98; p = 0.03) to die during the neonatal period as compared to boys. Neonates who were not put skin-to-skin contact immediately after birth were 2.6 times more likely to die within the neonatal period than those who were put skin-to-skin contact immediately after birth (AOR = 2.59; CI = 1.75–3.83, p = 0.00). CONCLUSION: Neonatal mortality remains a public health concern in Ghana, with an estimated rate of 18 deaths per 1,000 live births. Maternal and neonatal factors such as the sex of the newborn, the number of antenatal care visits, and skin-to-skin contact between the newborn and mother immediately after birth are the predictors of neonatal mortality in Ghana. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12884-023-05877-y. |
format | Online Article Text |
id | pubmed-10394848 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-103948482023-08-03 Predictors of neonatal mortality in Ghana: evidence from 2017 Ghana maternal health survey Adongo, Emmanuel Ayire Ganle, John Kuumuori BMC Pregnancy Childbirth Research BACKGROUND: Neonatal mortality contributes about 47% of child mortality globally and over 50% of under-5 deaths in Ghana. There is limited population level analysis done in Ghana on predictors of neonatal mortality. OBJECTIVES: The objective of the study was to examine the predictors of neonatal mortality in Ghana. METHOD: This study utilizes secondary data from the 2017 Ghana Maternal Health Survey (GMHS). The GMHS survey focuses on population and household characteristics, health, nutrition, and lifestyle with particular emphasis on topics that affect the lives of newborns and women, including mortality levels, fertility preferences and family planning methods. A total of 10,624 respondents were included in the study after data cleaning. Descriptive statistical techniques were used to describe important background characteristics of the women and Pearson’s Chi-squares (χ(2)) test used to assess association between the outcome (neonatal death) and independent variables. Multivariate logistic regression analysis was done to estimate odd ratios and potential confounders controlled. Confidence level was held at 95%, and a p < 0.05 was considered statistically significant. Data analysis was done using STATA 15. RESULTS: The prevalence of neonatal mortality was 18 per 1000 live births. ANC attendance, sex of baby, and skin-to-skin contact immediately after birth were predictors of neonatal mortality. Women with at least one ANC visit were less likely to experience neonatal mortality as compared to women with no ANC visit prior to delivery (AOR = 0.11; CI = 0.02–0.56, p = 0.01). Girls were less likely (AOR = 0.68; CI = 0.47–0.98; p = 0.03) to die during the neonatal period as compared to boys. Neonates who were not put skin-to-skin contact immediately after birth were 2.6 times more likely to die within the neonatal period than those who were put skin-to-skin contact immediately after birth (AOR = 2.59; CI = 1.75–3.83, p = 0.00). CONCLUSION: Neonatal mortality remains a public health concern in Ghana, with an estimated rate of 18 deaths per 1,000 live births. Maternal and neonatal factors such as the sex of the newborn, the number of antenatal care visits, and skin-to-skin contact between the newborn and mother immediately after birth are the predictors of neonatal mortality in Ghana. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12884-023-05877-y. BioMed Central 2023-08-02 /pmc/articles/PMC10394848/ /pubmed/37533034 http://dx.doi.org/10.1186/s12884-023-05877-y Text en © Crown 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Adongo, Emmanuel Ayire Ganle, John Kuumuori Predictors of neonatal mortality in Ghana: evidence from 2017 Ghana maternal health survey |
title | Predictors of neonatal mortality in Ghana: evidence from 2017 Ghana maternal health survey |
title_full | Predictors of neonatal mortality in Ghana: evidence from 2017 Ghana maternal health survey |
title_fullStr | Predictors of neonatal mortality in Ghana: evidence from 2017 Ghana maternal health survey |
title_full_unstemmed | Predictors of neonatal mortality in Ghana: evidence from 2017 Ghana maternal health survey |
title_short | Predictors of neonatal mortality in Ghana: evidence from 2017 Ghana maternal health survey |
title_sort | predictors of neonatal mortality in ghana: evidence from 2017 ghana maternal health survey |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10394848/ https://www.ncbi.nlm.nih.gov/pubmed/37533034 http://dx.doi.org/10.1186/s12884-023-05877-y |
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