Extent of Received Antenatal Care Components in Ethiopia: A Community-Based Panel Study
Bibliographic record
Abstract
PURPOSE: This study aimed to identify the extent of antenatal care content received and associated factors among Ethiopian women. METHODS: A nationally representative Performance Monitoring for Action 2020 Ethiopian data were used. A multistage cluster sampling design was used to select 2855 pregnant or recently postpartum women nested within 217 enumeration areas. Female resident enumerators collected the data using a semi-structured questionnaire. Researchers dichotomized the number of ANC content received greater than or equal to 75 percentiles as adequate. Otherwise, it was considered inadequate. A multilevel Poisson regression was fitted. The result was reported using an incidence rate ratio with a 95% confidence interval and a p-value less than 0.05 was considered for statistical significance. RESULTS: The study revealed more than a quarter of pregnant women received adequate ANC content (27.8%; 95% CI: 23.8%, 32.2%). Multivariable analysis revealed urban residence (IRR = 1.09, 95% CI: 1.01, 1.21), attending secondary and above formal education (IRR = 1.08, 95% CI: 1.01, 1.16), maternal age 20-24 years (IRR = 1.10, 95% CI: 1.02, 1.19), and partner's encouragement to attend clinic for antenatal care (IRR = 1.14, 95% CI: 1.05, 1.24) was significantly associated with receiving higher numbers of antenatal care content. CONCLUSION: The proportion of women who received adequate antenatal care content in Ethiopia was low. Despite Ethiopia's effort to improve maternal health services utilization, disparities among regions and between rural and urban exist. This study highlights the importance of ensuring high received antenatal care content, which is crucial for reducing pregnancy-related morbidity and mortality. This implies prompt intersectoral collaboration to promote female education, target older aged women, and rural resident women, encourage partner involvements during the antenatal care process, minimize regional variation, and strengthen the implementation of received ANC content policies and programs with the active participation of the stakeholders are priority issues.
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.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".