Prevalence and Determinants of Complete Postnatal Care Service Utilization in Northern Shoa, Ethiopia
Bibliographic record
Abstract
BACKGROUND: Postnatal period presents the highest risk of death for mothers and newborns. Although progress has been made in expanding the coverage for most of maternal health services, national prevalence of postnatal care service utilization in Ethiopia is still extremely limited. Hence, this study aims to determine the prevalence and factors associated with complete postnatal care service utilization in Northern Shoa, Ethiopia. METHODS: Community based cross-sectional survey was conducted between November 2016 and February 2017. A total of 510 mothers were included in the study using multistage sampling technique. The data were collected through face-to-face interview. Bivariate and multivariate logistic regression models were fitted to identify factors associated with complete postnatal care utilization at p value of < 0.05. SPSS version 20 was used to analyze the data. RESULTS: The prevalence of complete postnatal care utilization was found to be 28.4% in the study area. Mode of delivery (AOR=5.7, 95% CI = 3.9, 19), number of children (AOR= 2.5 95% CI, 1.4, 14.2), and level of education (AOR=3.2 95% CI, 1.1, 9.2) were the factors statistically associated with complete postnatal service uptake. Being healthy was the major (48.8%) reason mentioned for not complying with the recommended three postnatal visits. CONCLUSION: The prevalence of complete postnatal care service in the study area was found to be low, and it is far less than the targeted zonal and regional plan. Reinforcing the existing policies and strategies to increase women level of awareness about postnatal care and intensive counseling during antenatal care and delivery are the recommendations based upon the current finding.
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 | 0.000 | 0.000 |
| 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 | 0.000 |
| 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".