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Factors influencing maternal healthcare utilization in Papua New Guinea: Andersen’s behaviour model

BACKGROUND: Papua New Guinea (PNG) has recorded the highest maternal mortality ratio in the Western Pacific Region and faces major challenges in achieving SDG 3. Antenatal care (ANC), skilled birth attendant (SBA) and postnatal care (PNC) services are critical components of maternal healthcare servi...

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Autores principales: Li, Yan, Li, Hao, Jiang, Yi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10590515/
https://www.ncbi.nlm.nih.gov/pubmed/37865780
http://dx.doi.org/10.1186/s12905-023-02709-1
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author Li, Yan
Li, Hao
Jiang, Yi
author_facet Li, Yan
Li, Hao
Jiang, Yi
author_sort Li, Yan
collection PubMed
description BACKGROUND: Papua New Guinea (PNG) has recorded the highest maternal mortality ratio in the Western Pacific Region and faces major challenges in achieving SDG 3. Antenatal care (ANC), skilled birth attendant (SBA) and postnatal care (PNC) services are critical components of maternal healthcare services (MHS) for reducing maternal mortality and promoting maternal health in PNG. The study sought to assess the prevalence and determinants of ANC, SBA and PNC services amongst women in PNG. METHODS: The study was conducted using the 2016–2018 Papua New Guinea Demographic and Health Survey. A total of 5248 reproductive-age women were considered as the analytical sample. The outcome variables were utilisation of ANC, SBA and PNC services. Chi-square test, multivariable logistic regression and dominance analysis were conducted. Statistical significance was set at p < 0.05. RESULTS: The prevalence rates of ANC, SBA and PNC services were 52.3%, 58.7% and 26.6%, respectively. Women’s employment, education, media exposure, distance to health facility, household wealth, region, residence and parity were determinants of MHS utilisation. ANC, SBA and PNC services utilisation were all primarily influenced by enabling factors, followed by predisposing and need factors. CONCLUSIONS: This study demonstrated that enabling factors such as media exposure, distance to health facility, household wealth, region and residence have the greatest impact on MHS utilisation, followed by predisposing (working, education) and need factors (parity). Therefore, enabling factors should be prioritised when developing maternal health programmes and policies. For example, transport and health infrastructure should be strengthened and women’s education and vocational training should be increased, especially in Highlands region, Momase region and rural areas, to increase the utilisation of MHS.
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spelling pubmed-105905152023-10-23 Factors influencing maternal healthcare utilization in Papua New Guinea: Andersen’s behaviour model Li, Yan Li, Hao Jiang, Yi BMC Womens Health Research BACKGROUND: Papua New Guinea (PNG) has recorded the highest maternal mortality ratio in the Western Pacific Region and faces major challenges in achieving SDG 3. Antenatal care (ANC), skilled birth attendant (SBA) and postnatal care (PNC) services are critical components of maternal healthcare services (MHS) for reducing maternal mortality and promoting maternal health in PNG. The study sought to assess the prevalence and determinants of ANC, SBA and PNC services amongst women in PNG. METHODS: The study was conducted using the 2016–2018 Papua New Guinea Demographic and Health Survey. A total of 5248 reproductive-age women were considered as the analytical sample. The outcome variables were utilisation of ANC, SBA and PNC services. Chi-square test, multivariable logistic regression and dominance analysis were conducted. Statistical significance was set at p < 0.05. RESULTS: The prevalence rates of ANC, SBA and PNC services were 52.3%, 58.7% and 26.6%, respectively. Women’s employment, education, media exposure, distance to health facility, household wealth, region, residence and parity were determinants of MHS utilisation. ANC, SBA and PNC services utilisation were all primarily influenced by enabling factors, followed by predisposing and need factors. CONCLUSIONS: This study demonstrated that enabling factors such as media exposure, distance to health facility, household wealth, region and residence have the greatest impact on MHS utilisation, followed by predisposing (working, education) and need factors (parity). Therefore, enabling factors should be prioritised when developing maternal health programmes and policies. For example, transport and health infrastructure should be strengthened and women’s education and vocational training should be increased, especially in Highlands region, Momase region and rural areas, to increase the utilisation of MHS. BioMed Central 2023-10-21 /pmc/articles/PMC10590515/ /pubmed/37865780 http://dx.doi.org/10.1186/s12905-023-02709-1 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Li, Yan
Li, Hao
Jiang, Yi
Factors influencing maternal healthcare utilization in Papua New Guinea: Andersen’s behaviour model
title Factors influencing maternal healthcare utilization in Papua New Guinea: Andersen’s behaviour model
title_full Factors influencing maternal healthcare utilization in Papua New Guinea: Andersen’s behaviour model
title_fullStr Factors influencing maternal healthcare utilization in Papua New Guinea: Andersen’s behaviour model
title_full_unstemmed Factors influencing maternal healthcare utilization in Papua New Guinea: Andersen’s behaviour model
title_short Factors influencing maternal healthcare utilization in Papua New Guinea: Andersen’s behaviour model
title_sort factors influencing maternal healthcare utilization in papua new guinea: andersen’s behaviour model
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10590515/
https://www.ncbi.nlm.nih.gov/pubmed/37865780
http://dx.doi.org/10.1186/s12905-023-02709-1
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