Service-Related Factors Associated With Newborn Care Practices by Mothers in Mutare, Zimbabwe: A Cross-Sectional Study
Bibliographic record
Abstract
Neonatal mortality remains very high in Zimbabwe (29/1,000 live births). Service-related factors have been linked to the care-giver knowledge and newborn care practices. In Manicaland Province, care-seeking behaviors for fever (the main symptom for childhood infections) and knowledge levels of neonatal danger signs remains unacceptably lower than the national averages. A cross-sectional descriptive and analytic design was carried out to determine service-related factors to newborn care practices and their association with neonatal outcomes in Mutare District. Purposive sampling was used to select health facilities and systematic random sampling was used to select participants. A structured interviewer administered questionnaire was used to collect data which was then entered and analyzed using Epi-Info version 7.2. Descriptive and multivariate analysis were performed on data collected from 349 participants. Practice of the five assessed recommended newborn care practices was high. Exclusive breastfeeding (62%), early initiation of breastfeeding (74%), good cord care (73%), care-seeking for neonatal illness within 24hrs of onset of fever (82%) and keeping baby warm was at 58%. Statistically significant independent factors associated with the recommended newborn care practices were post-natal stay for more than 72 hours at the clinic (AOR=0.56; 95%CI: 0.12-0.87, p=0.000), and delivery at the health facility (AOR=0.43; 95%CI: 0.21-0.77; p=0.000). Service delivery had a substantial influence on newborn care practices in Mutare district and influenced neonatal outcomes. Improving newborn care outcomes requires both effective service delivery and community health system strengthening to promote good newborn care.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".