Determinants of antenatal care and skilled birth attendance services utilization among childbearing women in Guinea: evidence from the 2018 Guinea Demographic and Health Survey data

Abstract

Background Globally, maternal health remains a major priority. Most of maternal deaths globally occur in sub-Saharan Africa, with most of these deaths linked to lack of access to antenatal care and skilled assistance during delivery. This study assessed the determinants of antenatal care and skilled birth attendance services utilization among childbearing women in Guinea. Methods Data for this study were obtained from the 2018 Guinea Demographic and Health Survey (GDHS). Data of 4,917 childbearing women were considered as our analytical sample. The outcome variables for the study were utilization of antenatal care and skilled birth attendance. Analysis was carried out using chi-square tests and multivariable logistic regression. Results The results showed that women aged 15-24 (AOR=1.29, CI=1.03-1.62), women who had secondary/higher level of education (AOR=1.70, CI=1.33-2.19), and those whose partners had secondary/higher level of education (AOR=1.46, CI=1.22-1.75), women in the richest wealth quintile (AOR=5.09, CI=3.70-7.00), those with planned pregnancies (AOR=1.50, CI=1.23-1.81), Muslim women (AOR=1.65, CI=1.38-2.12), those who take healthcare decisions alone (AOR=1.53, CI=1.24-1.89), and those who listened to radio less than once a week (AOR= 1.30, CI=1.10-1.53) had higher odds of antenatal care uptake. Also, women with secondary/higher level of education (AOR=1.83, CI=1.25-2.68), those whose partners had secondary/higher level of education (AOR=1.40, CI=1.11-1.76), those in the richest wealth quintile (AOR=10.79, CI=6.64-17.51), those with planned pregnancies (AOR=1.25, CI=1.03-1.52), Christian women (AOR=4.13, CI=3.17-5.39), those living in urban areas (AOR=3.00, CI=2.29-3.94), women with one birth (AOR= 1.58, CI=1.20-2.06), those who take healthcare decisions alone (AOR=1.87, CI=1.46-2.39), those who read newspaper at least once a week (AOR= 1.19, CI=1.01-1.40), those who watched television at least once week (AOR=1.69, CI=1.30-2.19), and those in female-headed households (AOR=1.52, CI=1.20-1.92) were more likely to utilize the services of skilled birth attendants. Conclusion The study proved that various socio-economic and contextual factors influence antenatal care and skilled birth attendance in Guinea. These findings suggest the need to design community-based interventions (e.g., miniature local ANC clinics, early screening services) that prioritize women’s education and vocational training, media accessibility, especially among the poor, and those residing in rural settings. Such interventions should not ignore the influence of other socio-cultural norms that hinder the utilization of antenatal care and skilled birth attendance services in Guinea.

Number of Antenatal Care Utilization and Associated Factors Among Pregnant Women in Ethiopia: Zero-Inflated Poisson Regression of 2019 Intermediate Ethiopian Demography Health Survey.

“…The odds of not attending antenatal care service were reduced when educational status is increased. The nding was supported by previous researches in Western Ethiopia (62), Ethiopia(56), rural Ethiopia(51), Kenya (90), Guinea (55,91), Afghanistan (64), Angola (54), East African countries (60), India (92,93), Ghana (94), Nepal (95), Nigeria (96). Educated women might empowered to get services (97)(98)(99)(100)(101)(102), education make women to have decision making (103,104).…”

Trends in antenatal care visits and associated factors in Ghana from 2006 to 2018

“…Age of woman, education, polygyny status, wanted last-child, parity, death of a previous child, health insurance, household wealth index, urban-rural residence, and region of residence were treated as explanatory variables as seen in Table 1 . We selected the variables from the datasets based on their reported significance to the outcome variable in the literature [ 5 , 22 , 23 ]. All variables were available in all the three datasets except for health insurance which was only available in the 2011 and 2017-2018 datasets.…”

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“…Women in urban regions have easier access to health facilities and maternal health intervention programs [ 21 – 23 ]. The makeup of the urban population in terms of wealth index, educational status, and other socioeconomic characteristics may also have a beneficial impact on the use of maternal health care services [ 24 – 26 ]. Research in Sub-Saharan Africa has revealed that women in urban regions utilize maternal health care more.…”