ArticlePublic health in practice (Oxford, England)2021
A multinomial regression analysis of factors associated with antenatal care attendance among women in Papua New Guinea.
Article in Public health in practice (Oxford, England), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Factors influencing antenatal care utilisation in Madang Province, Papua New Guinea: a qualitative study.BMC pregnancy and childbirth · 2026Article
- Using nanopore metagenomics to characterize pathogens in febrile patients from a highland of Western Kenya.Frontiers in cellular and infection microbiology · 2026Article
- Determinants of antenatal care service utilisation in sub-Saharan Africa: an analysis of demographic and health surveys data (2015-2022).Archives of public health = Archives belges de sante publique · 2025Article
- Socio-demographic correlates of booking antenatal care in first trimester among pregnant women in Tanzania. Insights from Tanzania demographic health survey 2022.Frontiers in reproductive health · 2025Article
- Availability and readiness of healthcare facilities and their effects on antenatal care services uptake in Bangladesh.BMC health services research · 2024Article
- Why does the number of antenatal care visits in Ethiopia remain low?: A Bayesian multilevel approach.PloS one · 2024Article
- Number of antenatal care utilization and associated factors among pregnant women in Ethiopia: zero-inflated Poisson regression of 2019 intermediate Ethiopian Demography Health Survey.Reproductive health · 2022Article
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1 author.
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Abstract
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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