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Record W3119235603 · doi:10.1186/s12884-020-03489-4

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

2021· article· en· W3119235603 on OpenAlexaff
Bright Opoku Ahinkorah, Abdul‐Aziz Seidu, Ebenezer Agbaglo, Collins Adu, Eugene Budu, John Elvis Hagan, Thomas Schack, Sanni Yaya

Bibliographic record

VenueBMC Pregnancy and Childbirth · 2021
Typearticle
Languageen
FieldMedicine
TopicGlobal Maternal and Child Health
Canadian institutionsUniversity of OttawaGlobal Affairs Canada
Fundersnot available
KeywordsMedicineReproductive medicineAttendanceDemographyLogistic regressionOddsPrenatal careHealth facilityPregnancyHealth careOdds ratioObstetricsPopulationFamily medicineEnvironmental healthHealth services

Abstract

fetched live from OpenAlex

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.

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How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.032
Threshold uncertainty score0.064

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.061
GPT teacher head0.321
Teacher spread0.260 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations62
Published2021
Admission routes1
Has abstractyes

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