ASSESSMENT OF MATERNAL AND CHILD HEALTH SERVICE PROVISION IN WOLKITE UNIVERSITY SPECIALIZED HOSPITAL GURAGE ZONE, SNNPR, ETHIOPIA 2014
Bibliographic record
Abstract
Background: term health service referees wide array of service that affect health (physical ,mental, and social).so Maternal and Child Health service is service provided to women of reproductive age and children. Usually provide in health service center, but can be given in other institutions (school, religious place..). As revealed by maternal and child mortality and morbidity indicators the quality of maternal and child health service is still low. Ensuring quality of maternal and child health service significantly reduce 3.2 million stillborn babies, more than 4 million neonatal deaths, and more than half a million maternal deaths that occur globally per year .Objective: To assess maternal and child health service provision in wolkite university Specialized Hospital Methodology: A descriptive cross-section study design was conducted on wolkite universitySpecialized Hospital from July 2013 to November 2014 EC. Stratified random sampling was employed for this study. Data collected by interviewer administered questioner was coded,entered analyzed by SPSS20.Result: among 100 respondents of sick child questioner respondents 46% were told the diagnosis of illness the child has and 54.8% of lactating respondents were advised on their breast feeding habit. Among 100 respondents of ANC questioners 98%ofresponents have urine analysis, 44% of respondents have stool examination.51% of contraceptive users were advised to use condom,Discussion and conclusions: most of respondents of family planning service are informed about possible side effect and helped by provider to make decision on their method of choice, so there is good counseling but, promoting use of long acting family planning is low. 40 % of ANC mother were neither advised to change their feeding habit nor to use ITN. So health promotion and prevention measure are poor at ANC level.Budget: The total budget expended for the study is 920 birr
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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) | 0.003 | 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".