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A multinomial regression analysis of factors associated with antenatal care attendance among women in Papua New Guinea

OBJECTIVES: This study sought to assess the prevalence and factors associated with antenatal care (ANC) uptake among women in Papua New Guinea. STUDY DESIGN: This is a secondary data analysis of a nationally representative population based cross-sectional survey of households in Papua New Guinea con...

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Autor principal: Seidu, Abdul-Aziz
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9461375/
https://www.ncbi.nlm.nih.gov/pubmed/36101583
http://dx.doi.org/10.1016/j.puhip.2021.100161
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author Seidu, Abdul-Aziz
author_facet Seidu, Abdul-Aziz
author_sort Seidu, Abdul-Aziz
collection PubMed
description OBJECTIVES: This study sought to assess the prevalence and factors associated with antenatal care (ANC) uptake among women in Papua New Guinea. STUDY DESIGN: This is a secondary data analysis of a nationally representative population based cross-sectional survey of households in Papua New Guinea conducted from 2016 to 2018. METHODS: Descriptive statistics in the form of frequencies and percentages and multinomial logistic regression analysis were done to assess the factors associated with ANC uptake and statistical significance was set at p<0.05. RESULTS: The prevalence of 4 or more ANC visits was 51.4%. The multinomial logistic regression analysis showed that women aged 35–39 [ARRR = 1.630, 95% CI = 1.016,2.615], those in the richest wealth quintile [2.361, 95% CI = 1.595,3.496], women who had secondary/higher level of education [ARRR = 3.644, 95% CI = 2.614,5.079], and those whose partners had secondary/higher education [ARRR = 1.706, 95% CI = 1.310,2.223] were more likely to attain 4 or more ANC visits. The likelihood of 4 or more ANC visits increased among women in Momase region [ARRR = 3.574, 95% CI = 2.683,4.762], those with parity 1 [ARRR = 2.065, 95% CI = 1.513,2.816], women who did not have a big problem with permission to go to the hospital for care [ARRR = 1.331, 95% CI = 1.110,1.597] and distance to health facility [ARRR = 1.970, 95% CI = 1.578,2.458]. However, women who were not working [ARRR = 0.756, 95% CI = 0.630,0.906], those in rural areas [ARRR = 0.712, 95% CI = 0.517,0.980] and those who do not take healthcare decisions alone [ARRR = 0.824, 95% CI = 0.683,0.994] were less likely to attain 4 or more ANC visits. CONCLUSION: It was found that 51.4% of women have attained 4 or more ANC visits. Age, wealth status, employment, maternal and partner’s education, region and place of residence, parity, exposure to mass media, problem with distance and getting money needed for treatment and decision making on healthcare are associated with 4 or more ANC uptake among women in Papua New Guinea. To promote optimal number of ANC visits, there is the need for a multi-sectorial collaboration. For example, the various ministries such as the Ministry of Labour/Employment, Education, Development, Women affairs and Finance could collaborate with the Ministry of Health to achieve universal ANC coverage.
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spelling pubmed-94613752022-09-12 A multinomial regression analysis of factors associated with antenatal care attendance among women in Papua New Guinea Seidu, Abdul-Aziz Public Health Pract (Oxf) Original Research OBJECTIVES: This study sought to assess the prevalence and factors associated with antenatal care (ANC) uptake among women in Papua New Guinea. STUDY DESIGN: This is a secondary data analysis of a nationally representative population based cross-sectional survey of households in Papua New Guinea conducted from 2016 to 2018. METHODS: Descriptive statistics in the form of frequencies and percentages and multinomial logistic regression analysis were done to assess the factors associated with ANC uptake and statistical significance was set at p<0.05. RESULTS: The prevalence of 4 or more ANC visits was 51.4%. The multinomial logistic regression analysis showed that women aged 35–39 [ARRR = 1.630, 95% CI = 1.016,2.615], those in the richest wealth quintile [2.361, 95% CI = 1.595,3.496], women who had secondary/higher level of education [ARRR = 3.644, 95% CI = 2.614,5.079], and those whose partners had secondary/higher education [ARRR = 1.706, 95% CI = 1.310,2.223] were more likely to attain 4 or more ANC visits. The likelihood of 4 or more ANC visits increased among women in Momase region [ARRR = 3.574, 95% CI = 2.683,4.762], those with parity 1 [ARRR = 2.065, 95% CI = 1.513,2.816], women who did not have a big problem with permission to go to the hospital for care [ARRR = 1.331, 95% CI = 1.110,1.597] and distance to health facility [ARRR = 1.970, 95% CI = 1.578,2.458]. However, women who were not working [ARRR = 0.756, 95% CI = 0.630,0.906], those in rural areas [ARRR = 0.712, 95% CI = 0.517,0.980] and those who do not take healthcare decisions alone [ARRR = 0.824, 95% CI = 0.683,0.994] were less likely to attain 4 or more ANC visits. CONCLUSION: It was found that 51.4% of women have attained 4 or more ANC visits. Age, wealth status, employment, maternal and partner’s education, region and place of residence, parity, exposure to mass media, problem with distance and getting money needed for treatment and decision making on healthcare are associated with 4 or more ANC uptake among women in Papua New Guinea. To promote optimal number of ANC visits, there is the need for a multi-sectorial collaboration. For example, the various ministries such as the Ministry of Labour/Employment, Education, Development, Women affairs and Finance could collaborate with the Ministry of Health to achieve universal ANC coverage. Elsevier 2021-07-04 /pmc/articles/PMC9461375/ /pubmed/36101583 http://dx.doi.org/10.1016/j.puhip.2021.100161 Text en © 2021 The Author(s) https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Original Research
Seidu, Abdul-Aziz
A multinomial regression analysis of factors associated with antenatal care attendance among women in Papua New Guinea
title A multinomial regression analysis of factors associated with antenatal care attendance among women in Papua New Guinea
title_full A multinomial regression analysis of factors associated with antenatal care attendance among women in Papua New Guinea
title_fullStr A multinomial regression analysis of factors associated with antenatal care attendance among women in Papua New Guinea
title_full_unstemmed A multinomial regression analysis of factors associated with antenatal care attendance among women in Papua New Guinea
title_short A multinomial regression analysis of factors associated with antenatal care attendance among women in Papua New Guinea
title_sort multinomial regression analysis of factors associated with antenatal care attendance among women in papua new guinea
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9461375/
https://www.ncbi.nlm.nih.gov/pubmed/36101583
http://dx.doi.org/10.1016/j.puhip.2021.100161
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