» Articles » PMID: 37865780

Factors Influencing Maternal Healthcare Utilization in Papua New Guinea: Andersen's Behaviour Model

Overview
Publisher Biomed Central
Date 2023 Oct 21
PMID 37865780
Authors
Affiliations
Soon will be listed here.
Abstract

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.

Citing Articles

Assessment of maternal healthcare services among the women of reproductive age in the rural municipality of Nepal: a cross-sectional study.

Adhikari M, Rajbanshi M, Karki A, Aryal R, Choulagai B BMJ Public Health. 2025; 3(1):e000916.

PMID: 40017960 PMC: 11816099. DOI: 10.1136/bmjph-2024-000916.


Spatial-temporal patterns and predictors of timing and inadequate antenatal care utilization in Zambia: A Generalized Linear Mixed Model (GLMM) investigation from 1992 to 2018.

Shumba S, Fwemba I, Kaymba V PLOS Glob Public Health. 2024; 4(10):e0003213.

PMID: 39471196 PMC: 11521255. DOI: 10.1371/journal.pgph.0003213.


Investigation of factors associated with delayed initiation of breastfeeding in Papua New Guinea: a cross-sectional study.

Maviso M, Pulsan F, Vallely L BMJ Paediatr Open. 2024; 8(1).

PMID: 39384311 PMC: 11474686. DOI: 10.1136/bmjpo-2024-002942.

References
1.
Seidu A, Agbaglo E, Dadzie L, Ahinkorah B, Ameyaw E, Tetteh J . Individual and contextual factors associated with barriers to accessing healthcare among women in Papua New Guinea: insights from a nationwide demographic and health survey. Int Health. 2020; 13(6):573-585. PMC: 8643437. DOI: 10.1093/inthealth/ihaa097. View

2.
Okedo-Alex I, Akamike I, Ezeanosike O, Uneke C . Determinants of antenatal care utilisation in sub-Saharan Africa: a systematic review. BMJ Open. 2019; 9(10):e031890. PMC: 6797296. DOI: 10.1136/bmjopen-2019-031890. View

3.
Pallikadavath S, Foss M, Stones R . Antenatal care: provision and inequality in rural north India. Soc Sci Med. 2004; 59(6):1147-58. DOI: 10.1016/j.socscimed.2003.11.045. View

4.
Madaj B, Smith H, Mathai M, Roos N, van den Broek N . Developing global indicators for quality of maternal and newborn care: a feasibility assessment. Bull World Health Organ. 2017; 95(6):445-452I. PMC: 5463814. DOI: 10.2471/BLT.16.179531. View

5.
Seidu A . Factors associated with early antenatal care attendance among women in Papua New Guinea: a population-based cross-sectional study. Arch Public Health. 2021; 79(1):70. PMC: 8101243. DOI: 10.1186/s13690-021-00592-6. View