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

作者全名："Li, Yan; Li, Hao; Jiang, Yi"

作者地址："[Li, Yan; Jiang, Yi] Chongqing Med Univ, Sch Publ Hlth, Chongqing, Peoples R China; [Li, Hao] Soochow Univ, Affiliated Hosp 2, Jiangsu, Peoples R China"

通信作者："Jiang, Y (通讯作者)，Chongqing Med Univ, Sch Publ Hlth, Chongqing, Peoples R China."

来源：BMC WOMENS HEALTH

ESI学科分类：CLINICAL MEDICINE

WOS号：WOS:001099679500002

JCR分区：Q2

影响因子：2.4

年份：2023

卷号：23

期号：1

开始页：　

结束页：　

文献类型：Article

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

摘要："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."

基金机构：We greatly acknowledge the measure DHS program for granting access to the Papua New Guinea dataset.

基金资助正文：We greatly acknowledge the measure DHS program for granting access to the Papua New Guinea dataset.