Factors associated with births protected against neonatal tetanus in Africa: Evidences from Demographic and health surveys of five African countries.

<h4>Introduction</h4>Maternal and neonatal tetanus remains a global public health problem affecting mainly the poorest and most marginalized subpopulations. In spite of the problem, studies conducted on the associated factors of births protected against neonatal tetanus are scarce in Afr...

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Autores principales: Yigizie Yeshaw, Tadeg Jemere, Henok Dagne, Zewudu Andualem, Yonas Akalu, Reta Dewau, Achamyeleh Birhanu Teshale, Getayeneh Antehunegn Tesema, Baye Dagnew
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spelling oai:doaj.org-article:6b36734a822748288d21bc114b4665a92021-12-02T20:10:29ZFactors associated with births protected against neonatal tetanus in Africa: Evidences from Demographic and health surveys of five African countries.1932-620310.1371/journal.pone.0253126https://doaj.org/article/6b36734a822748288d21bc114b4665a92021-01-01T00:00:00Zhttps://doi.org/10.1371/journal.pone.0253126https://doaj.org/toc/1932-6203<h4>Introduction</h4>Maternal and neonatal tetanus remains a global public health problem affecting mainly the poorest and most marginalized subpopulations. In spite of the problem, studies conducted on the associated factors of births protected against neonatal tetanus are scarce in Africa. Therefore, this study aimed to identify both individual and community-level factors associated with births protected against neonatal tetanus in the region.<h4>Methods</h4>The most recent Demographic and Health Survey datasets of five African countries (Ethiopia, Burundi, Comoros, Zimbabwe and Zambia) were used to investigate the associated factors of births protected from neonatal tetanus. STATA Version 14 statistical software was used for the analysis. The data were weighted before doing any statistical analysis and deviance was used for model comparison. Multilevel binary logistic regression was used to identify the associated factors of births protected against neonatal tetanus. Finally, the adjusted odds ratio (AOR) with its 95% confidence interval (CI) was calculated for each potential factors included in the multivariable multilevel logistic regression model.<h4>Results</h4>A total weighted sample of 30897 reproductive age women who had a birth within 5 years preceding the survey were included in the analysis. Those women with age of 20-34 (AOR = 1.32, 95%CI: 1.18-1.48) and 35-49 years (AOR = 1.26, 95% CI: 1.10-1.44), high community level of women education (AOR = 1.13, 95%CI: 1.04-1.23), being from poorer(AOR = 1.23, 95% CI: 1.14-1.33), middle (AOR = 1.31, 95%CI: 1.21-1.43), richer (AOR = 1.21, 95%CI: 1.11-1.32) and richest households (AOR = 1.59, 95%CI: 1.44-1.74), having antenatal care follow up (AOR = 9.62, 95% CI: 8.79-10.54), not perceiving distance to health facility as a big problem (AOR = 1.18, 95% CI: (1.11-1.25) had higher odds of having births protected against neonatal tetanus.<h4>Conclusion</h4>Both individual and community level factors were found to be associated with births protected against neonatal tetanus in Africa. This suggests that a variety of factors are affecting births protected against neonatal tetanus in the region. Hence, the impact of these factors should be recognized while developing strategies to reduce neonatal tetanus in the region.Yigizie YeshawTadeg JemereHenok DagneZewudu AndualemYonas AkaluReta DewauAchamyeleh Birhanu TeshaleGetayeneh Antehunegn TesemaBaye DagnewPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 16, Iss 6, p e0253126 (2021)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Yigizie Yeshaw
Tadeg Jemere
Henok Dagne
Zewudu Andualem
Yonas Akalu
Reta Dewau
Achamyeleh Birhanu Teshale
Getayeneh Antehunegn Tesema
Baye Dagnew
Factors associated with births protected against neonatal tetanus in Africa: Evidences from Demographic and health surveys of five African countries.
description <h4>Introduction</h4>Maternal and neonatal tetanus remains a global public health problem affecting mainly the poorest and most marginalized subpopulations. In spite of the problem, studies conducted on the associated factors of births protected against neonatal tetanus are scarce in Africa. Therefore, this study aimed to identify both individual and community-level factors associated with births protected against neonatal tetanus in the region.<h4>Methods</h4>The most recent Demographic and Health Survey datasets of five African countries (Ethiopia, Burundi, Comoros, Zimbabwe and Zambia) were used to investigate the associated factors of births protected from neonatal tetanus. STATA Version 14 statistical software was used for the analysis. The data were weighted before doing any statistical analysis and deviance was used for model comparison. Multilevel binary logistic regression was used to identify the associated factors of births protected against neonatal tetanus. Finally, the adjusted odds ratio (AOR) with its 95% confidence interval (CI) was calculated for each potential factors included in the multivariable multilevel logistic regression model.<h4>Results</h4>A total weighted sample of 30897 reproductive age women who had a birth within 5 years preceding the survey were included in the analysis. Those women with age of 20-34 (AOR = 1.32, 95%CI: 1.18-1.48) and 35-49 years (AOR = 1.26, 95% CI: 1.10-1.44), high community level of women education (AOR = 1.13, 95%CI: 1.04-1.23), being from poorer(AOR = 1.23, 95% CI: 1.14-1.33), middle (AOR = 1.31, 95%CI: 1.21-1.43), richer (AOR = 1.21, 95%CI: 1.11-1.32) and richest households (AOR = 1.59, 95%CI: 1.44-1.74), having antenatal care follow up (AOR = 9.62, 95% CI: 8.79-10.54), not perceiving distance to health facility as a big problem (AOR = 1.18, 95% CI: (1.11-1.25) had higher odds of having births protected against neonatal tetanus.<h4>Conclusion</h4>Both individual and community level factors were found to be associated with births protected against neonatal tetanus in Africa. This suggests that a variety of factors are affecting births protected against neonatal tetanus in the region. Hence, the impact of these factors should be recognized while developing strategies to reduce neonatal tetanus in the region.
format article
author Yigizie Yeshaw
Tadeg Jemere
Henok Dagne
Zewudu Andualem
Yonas Akalu
Reta Dewau
Achamyeleh Birhanu Teshale
Getayeneh Antehunegn Tesema
Baye Dagnew
author_facet Yigizie Yeshaw
Tadeg Jemere
Henok Dagne
Zewudu Andualem
Yonas Akalu
Reta Dewau
Achamyeleh Birhanu Teshale
Getayeneh Antehunegn Tesema
Baye Dagnew
author_sort Yigizie Yeshaw
title Factors associated with births protected against neonatal tetanus in Africa: Evidences from Demographic and health surveys of five African countries.
title_short Factors associated with births protected against neonatal tetanus in Africa: Evidences from Demographic and health surveys of five African countries.
title_full Factors associated with births protected against neonatal tetanus in Africa: Evidences from Demographic and health surveys of five African countries.
title_fullStr Factors associated with births protected against neonatal tetanus in Africa: Evidences from Demographic and health surveys of five African countries.
title_full_unstemmed Factors associated with births protected against neonatal tetanus in Africa: Evidences from Demographic and health surveys of five African countries.
title_sort factors associated with births protected against neonatal tetanus in africa: evidences from demographic and health surveys of five african countries.
publisher Public Library of Science (PLoS)
publishDate 2021
url https://doaj.org/article/6b36734a822748288d21bc114b4665a9
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