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Record W4324128699 · doi:10.1093/inthealth/ihad016

Does women's empowerment and socio-economic status predict adequacy of antenatal care in sub-Saharan Africa?

2023· article· en· W4324128699 on OpenAlex
Richard Gyan Aboagye, Joshua Okyere, Abdul‐Aziz Seidu, Bright Opoku Ahinkorah, Eugene Budu, Sanni Yaya

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueInternational Health · 2023
Typearticle
Languageen
FieldMedicine
TopicGlobal Maternal and Child Health
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsEmpowermentSocioeconomic statusWomen's empowermentSocioeconomicsEconomic growthMaternal healthMaternity careMedicineEnvironmental healthDevelopment economicsEconomicsPopulationHealth careHealth services

Abstract

fetched live from OpenAlex

BACKGROUND: Quality and adequate antenatal care (ANC) are key strategies necessary to achieve Sustainable Development Goal 3.1. However, in sub-Saharan Africa (SSA), there is a paucity of evidence on the role women's empowerment and socio-economic status play in ANC attendance. This study aimed to examine whether women's empowerment and socio-economic status predict the adequacy of ANC in SSA. METHODS: Data from the recent Demographic and Health Surveys (DHSs) of 10 countries in SSA were used for the study. We included countries with a survey dataset compiled between 2018 and 2020. We included 57 265 women with complete observations on variables of interest in the study. Frequencies and percentages were used to summarize the results of the coverage of adequate ANC services across the 10 countries. A multivariable binary multilevel regression analysis was employed to examine the association between women's empowerment and socio-economic status indicators and the adequacy of ANC. Adjusted odds ratios (aORs) with 95% confidence intervals (CIs) were used to present the findings of the regression analysis. RESULTS: The average prevalence of adequate ANC in SSA was 10.4%. This ranged from 0.2% in Rwanda to 24.5% in Liberia. Women with medium (aOR 1.24 [CI 1.10 to 1.40]) and high (aOR 1.24 [CI 1.07 to 1.43]) decision-making power had higher odds of adequate ANC compared to those with low decision-making power. Women with higher levels of education (aOR 1.63 [CI 1.36 to 1.95]) as well as partners with higher education levels (aOR 1.34 [CI 1.14 to 1.56]) had the highest odds of adequate ANC compared to those with no formal education. Additionally, those working (aOR 1.35 [95% CI 1.23 to 1.49]) and those in the richest wealth category (aOR 2.29 [CI 1.90 to 2.76]) had higher odds of adequate ANC compared to those who are not working and those in the poorest wealth category. Those with high justification of violence against women (aOR 0.84 [CI 0.73 to 0.97]) had lower odds of adequate ANC compared to those with low justification of violence against women. CONCLUSIONS: Adequacy of ANC was low across all 10 countries we included in this study. It is evident from the study that women's empowerment and socio-economic status significantly predicted the adequacy of ANC. As such, promoting women's empowerment programs without intensive improvements in women's socio-economic status would yield ineffective results. However, when women's empowerment programs are combined with active improvements in socio-economic status, then women will be encouraged to seek adequate ANC.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.025
Threshold uncertainty score0.279

Codex and Gemma teacher scores by category

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

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 head0.010
GPT teacher head0.302
Teacher spread0.292 · 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