Factors Associated with Utilization of Postnatal Care Services in Mali, West Africa
Bibliographic record
Abstract
Background and Objective: Postnatal care is recognized as one of the most effective ways of preventing and managing physical and mental disabilities that occur during the postpartum period. Despite the importance of postnatal care, its utilization is low in Mali. The present study investigates factors associated with utilization of postnatal care services in Mali. Methods: A total of 5,778 women who had complete information on all the variables of interest were included in our study. The data were analyzed with Stata version 14.2 by employing a multilevel logistic regression approach. The results were presented using adjusted odds ratios (aOR) at 95% confidence interval (CI). Results: We found that 25.18% of childbearing women in Mali utilized postnatal care. Women with no education (aOR=1.28, 95% CI=1.02-1.62) and those with primary level of education (OR=1.38, 95% CI=1.06- 1.81) had higher odds of postnatal care uptake, compared to those with secondary/higher education. On the contrary, postnatal care service utilization was lower among women who were not covered by health insurance (aOR=0.63, 95% CI=0.46-0.88), those who were not working (aOR=0.82, 95% CI=0.70-0.96), and those who were not exposed to mass media (aOR=0.80, 95% CI=0.70-0.93). Similarly, compared to women in the Mopti region, women in all other regions were less likely to utilize postnatal care services. Postnatal care service utilization was lower among women in communities with low educational level (aOR = 0.42, 95% CI=0.27-0.66) and medium socio-economic status (aOR=0.59, 95% CI=0.36-0.99). Conclusion and Implications for Translation: The study revealed several individual, household and community level factors as predictors of utilization of postnatal care services in Mali. Public health interventions intended to improve postnatal care services uptake in Mali should pay attention to these factors. This will help achieve the Sustainable Development Goal 3.1 which focuses on reducing the global maternal mortality ratio to less than 70 per 100 000 live births by 2030. Copyright © 2021 Ahinkorah et al. Published by Global Health and Education Projects, Inc. This is an open-access article distributed under the terms of the Creative Commons Attribution License CC BY 4.0.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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".