Multilevel Modelling of the Individual and Regional Level Variability in Predictors of Incomplete Antenatal Care Visit among Women of Reproductive Age in Ethiopia: Classical and Bayesian Approaches.

Chikako, TU; Bacha, RH; Hagan, JE; Seidu, A-A; Kuse, KA; Ahinkorah, BO

Multilevel Modelling of the Individual and Regional Level Variability in Predictors of Incomplete Antenatal Care Visit among Women of Reproductive Age in Ethiopia: Classical and Bayesian Approaches.

Chikako, TU Bacha, RH Hagan, JE Seidu, A-A Kuse, KA Ahinkorah, BO

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Publisher:: MDPI AG
Publication Type:: Journal Article
Citation:: International Journal of Environmental Research and Public Health, 2022, 19, (11), pp. 1-14
Issue Date:: 2022-05-28

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Field	Value	Language
dc.contributor.author	Chikako, TU
dc.contributor.author	Bacha, RH
dc.contributor.author	Hagan, JE
dc.contributor.author	Seidu, A-A
dc.contributor.author	Kuse, KA
dc.contributor.author	Ahinkorah, BO
dc.date.accessioned	2022-11-17T04:07:34Z
dc.date.available	2022-05-25
dc.date.available	2022-11-17T04:07:34Z
dc.date.issued	2022-05-28
dc.identifier.citation	International Journal of Environmental Research and Public Health, 2022, 19, (11), pp. 1-14
dc.identifier.issn	1660-4601
dc.identifier.issn	1660-4601
dc.identifier.uri	http://hdl.handle.net/10453/163551
dc.description.abstract	BACKGROUND: Antenatal care is an operational public health intervention to minimize maternal and child morbidity and mortality. However, for varied reasons, many women fail to complete the recommended number of visits. The objective of this study was to assess antenatal care utilization and identify the factors associated with the incomplete antenatal care visit among reproductive age women in Ethiopia. METHODS: The 2019 Ethiopian Mini Demographic and Health Survey data were used for this study. Multilevel logistic regression analysis and two level binary logistic regression models were utilized. RESULTS: Around 56.8% of women in Ethiopia did not complete the recommended number of antenatal care visits. Women from rural areas were about 1.622 times more likely to have incomplete antenatal care compared to women from urban areas. Women who had no pregnancy complication signs were about 2.967 times more likely to have incomplete antenatal care compared to women who had pregnancy complication signs. Women who had a slight problem and a big problem with the distance from a health center were about 1.776 and 2.973 times more likely, respectively, to have incomplete antenatal care compared to women whose distance from a health center was not a problem. Furthermore, women who had ever terminated pregnancy were about 10.6% less likely to have incomplete antenatal care compared to women who had never terminated pregnancy. CONCLUSIONS: The design and strengthening of existing interventions (e.g., small clinics) should consider identified factors aimed at facilitating antenatal care visits to promote maternal and child health related outcomes. Issues related to urban-rural disparities and noted hotspot areas for incomplete antenatal care visits should be given special attention.
dc.format	Electronic
dc.language	eng
dc.publisher	MDPI AG
dc.relation.ispartof	International Journal of Environmental Research and Public Health
dc.relation.isbasedon	10.3390/ijerph19116600
dc.rights	info:eu-repo/semantics/openAccess
dc.subject.classification	Toxicology
dc.subject.mesh	Bayes Theorem
dc.subject.mesh	Child
dc.subject.mesh	Ethiopia
dc.subject.mesh	Female
dc.subject.mesh	Humans
dc.subject.mesh	Patient Acceptance of Health Care
dc.subject.mesh	Pregnancy
dc.subject.mesh	Prenatal Care
dc.subject.mesh	Reproduction
dc.subject.mesh	Rural Population
dc.subject.mesh	Bayes Theorem
dc.subject.mesh	Child
dc.subject.mesh	Ethiopia
dc.subject.mesh	Female
dc.subject.mesh	Humans
dc.subject.mesh	Patient Acceptance of Health Care
dc.subject.mesh	Pregnancy
dc.subject.mesh	Prenatal Care
dc.subject.mesh	Reproduction
dc.subject.mesh	Rural Population
dc.subject.mesh	Humans
dc.subject.mesh	Prenatal Care
dc.subject.mesh	Bayes Theorem
dc.subject.mesh	Reproduction
dc.subject.mesh	Pregnancy
dc.subject.mesh	Child
dc.subject.mesh	Rural Population
dc.subject.mesh	Patient Acceptance of Health Care
dc.subject.mesh	Ethiopia
dc.subject.mesh	Female
dc.title	Multilevel Modelling of the Individual and Regional Level Variability in Predictors of Incomplete Antenatal Care Visit among Women of Reproductive Age in Ethiopia: Classical and Bayesian Approaches.
dc.type	Journal Article
utslib.citation.volume	19
utslib.location.activity	Switzerland
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Health
pubs.organisational-group	/University of Technology Sydney/Faculty of Health/Public Health
utslib.copyright.status	open_access	*
pubs.consider-herdc	false
dc.date.updated	2022-11-17T04:07:32Z
pubs.issue	11
pubs.publication-status	Published
pubs.volume	19
utslib.citation.issue	11

Abstract:

BACKGROUND: Antenatal care is an operational public health intervention to minimize maternal and child morbidity and mortality. However, for varied reasons, many women fail to complete the recommended number of visits. The objective of this study was to assess antenatal care utilization and identify the factors associated with the incomplete antenatal care visit among reproductive age women in Ethiopia. METHODS: The 2019 Ethiopian Mini Demographic and Health Survey data were used for this study. Multilevel logistic regression analysis and two level binary logistic regression models were utilized. RESULTS: Around 56.8% of women in Ethiopia did not complete the recommended number of antenatal care visits. Women from rural areas were about 1.622 times more likely to have incomplete antenatal care compared to women from urban areas. Women who had no pregnancy complication signs were about 2.967 times more likely to have incomplete antenatal care compared to women who had pregnancy complication signs. Women who had a slight problem and a big problem with the distance from a health center were about 1.776 and 2.973 times more likely, respectively, to have incomplete antenatal care compared to women whose distance from a health center was not a problem. Furthermore, women who had ever terminated pregnancy were about 10.6% less likely to have incomplete antenatal care compared to women who had never terminated pregnancy. CONCLUSIONS: The design and strengthening of existing interventions (e.g., small clinics) should consider identified factors aimed at facilitating antenatal care visits to promote maternal and child health related outcomes. Issues related to urban-rural disparities and noted hotspot areas for incomplete antenatal care visits should be given special attention.

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http://hdl.handle.net/10453/163551