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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Format: | Article |
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Elsevier
2021-11-01
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Series: | Public Health in Practice |
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Online Access: | http://www.sciencedirect.com/science/article/pii/S2666535221000860 |
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author | Abdul-Aziz Seidu |
author_facet | Abdul-Aziz Seidu |
author_sort | Abdul-Aziz Seidu |
collection | DOAJ |
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. |
first_indexed | 2024-12-22T20:44:46Z |
format | Article |
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issn | 2666-5352 |
language | English |
last_indexed | 2024-12-22T20:44:46Z |
publishDate | 2021-11-01 |
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series | Public Health in Practice |
spelling | doaj.art-cbbb4ad059144182b66b8c50003d0bc32022-12-21T18:13:16ZengElsevierPublic Health in Practice2666-53522021-11-012100161A multinomial regression analysis of factors associated with antenatal care attendance among women in Papua New GuineaAbdul-Aziz Seidu0Department of Population and Health, College of Humanities and Legal Studies, University of Cape Coast, Ghana; College of Public Health, Medical and Veterinary Services, James Cook University, Townsville, QLD, 4811, Australia; Department of Estate Management, Takoradi Technical University, Takoradi, Ghana; Department of Population and Health, College of Humanities and Legal Studies, University of Cape Coast, Ghana.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.http://www.sciencedirect.com/science/article/pii/S2666535221000860Antenatal carePregnant womenUtilisationPapua New GuineaPublic health |
spellingShingle | Abdul-Aziz Seidu A multinomial regression analysis of factors associated with antenatal care attendance among women in Papua New Guinea Public Health in Practice Antenatal care Pregnant women Utilisation Papua New Guinea Public health |
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 | Antenatal care Pregnant women Utilisation Papua New Guinea Public health |
url | http://www.sciencedirect.com/science/article/pii/S2666535221000860 |
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