Effect of Nutritional Status and Associated Factors on Pneumonia Treatment Outcome among Under-Five Children at St. Paul’s Hospital Millennium Medical College, Addis Ababa, Ethiopia
Bibliographic record
Abstract
Acute respiratory infection is still a major health problem among under-five children specifically in Ethiopia, where 38% of them are reported as living in the status of under-nutrition. However, there are studies limitation regarding the relationship of nutritional status of under-five children and outcome of pneumonia treatment. Institutional based cross-sectional study design had been employed to see the Effect of nutritional status and associated factors on pneumonia treatment outcome among under-five children in 2015. Data was collected using interview administered structured questionnaires and anthropometric measurement. The study revealed that high probability of poor pneumonia treatment outcome 26(40%) among exposed groups. Those children to house wife mothers 11(16.92%), smoker family member 6(9.23%), non-fully immunized 9(13.85%), less than 500birr spent for a child 26(40%) are observed to be with poor pneumonia treatment outcome. The risk of poor pneumonia treatment outcome was 4 times and 5 times more like among children who lives with smoker family member and exposed groups respectively. But it was 0.075 and 0.05 times less like among Children from urban and whom their monthly budget is 1000 birr or more respectively. Child nutritional status has significant effect on pneumonia treatment outcome among under-five children. Undernourishment, smoker family member, rural residency, monthly budget are among factors impact pneumonia treatment outcome. Nutritional education, Mother education, Employing mothers, Budgeting more than 500 birr per child per month, alleviate smoking among the family member, Limiting family members number per house hold, All children should feed colostrums and Full immunization should be done
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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 | 0.001 |
| 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) | 0.001 | 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".