Empirical Analysis of Socio-Economic Determinants of Maternal Health Services Utilisation in Burundi
Bibliographic record
Abstract
Abstract Background Ti mely and appropriate health care during pregnancy and childbirth are the pillars of better maternal health outcomes. However, factors such as poverty and low education levels, long distance to a health facility, and high costs of health services may present barriers to timely access and utilisation of maternal health services. Despite prenatal, childbirth and postanal care being free at the point of use in Burundi, utilisation of these services remains low: between 2011 and 2017, only 49% of pregnant women attended at least four antenatal care (ANC) visits. This study explores the socio-economic determinants that affect utilisation of maternal health services in Burundi. Methods We use data from the 2017 Burundian Demographic and Health Survey (DHS) collected from 8,941 women who reported a live birth in the five years preceding the survey. We use multiple regression analysis to explore the factors that determine the likelihood of seeking ANC services from a trained health professional, the number of ANC visits made and the choice of assisted childbirth. Results Occupation, marital status and wealth increase the likelihood of seeking ANC services from a trained health professional. The likelihood that a woman consults a trained health professional for ANC services is 18 times and 16 times more for married women and women living in partnership, respectively. More educated women and those who currently live a union or partnership attend more ANC visits than others. At higher birth orders, women tend to not attend ANC visits. The more ANC visits attended, and the wealthier women are; the more likely they are assisted during childbirth. Women who complete four or more ANC visits are 14 times more likely to have an assisted childbirth. Conclusions In Burundi, utilisation of maternal health services is low. There is inequality in services utilisation among women based on wealth, parity, religion, and occupation. ANC is an important determinant of subsequent delivery care. There is a gap between married and unmarried women. This has a strong health policy implication to improve access to maternal health services for unmarried women.
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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 | 0.000 | 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 | 0.000 |
| 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".