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

BMC Women's Health

Research

Yan Li¹  Yi Jiang¹  Hao Li² 

[1] School of Public Health, Chongqing Medical University, Chongqing, China;Second Affiliated Hospital of Soochow University, Jiangsu, China;

关键词: Maternal healthcare services;    Antenatal care;    Skilled birth attendant;    Postnatal care;    Papua New Guinea;    Andersen’s behaviour model;   

DOI  :  10.1186/s12905-023-02709-1

 received in 2023-08-02, accepted in 2023-10-13,  发布年份 2023

来源: Springer

【 摘 要 】

BackgroundPapua 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.MethodsThe 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.ResultsThe 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.ConclusionsThis 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.

【 授权许可】

CC BY   
© BioMed Central Ltd., part of Springer Nature 2023

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