Knowledge & Practices of Newborn Care among Postnatal Mothers in Tertiary Care Hospital of Varanasi. -
Bibliographic record
Abstract
Background: A human infant from the time of birth up to 28th day of life is called a newborn. Nearly 27 million babies are born in India each year. Every year 4 million babies die in the first month of life in the world and quarter of these takes place in India. Newborns most frequent caretaker is their own mothers and it is mothers knowledge and practices that shapes the future of the new born. Objective: To assess the knowledge and practices of mother in relation to newborn care. Materials and methods: This cross-sectional study was carried out from August 2014 to September 2014 at Sir Sunderlal Hospital BHU, Varanasi. A total of 87 postnatal mothers who were having the infants in the age group of 0-3 months and attending the out patients department for any reasons during the study period were included in the study. A semi structured, pre tested questionnaire was used. All participants were informed regarding the purpose of study and their consent was obtained for data collection. Results: The data collected from 87 samples were analyzed using descriptive statistics. Only 26.4% of the deliveries took place at home and 52.2% were conducted by untrained birth attendant. 65.2% mothers initiated breast-feeding within 24 hrs of birth and 34.8% initiated after 1 day. 34.8% mothers had not given colostrums to their newborn, prohibition by family customs and elderly member was most common reason stated for this. The result of study showed that many harmful and un-indicated neonatal practices were prevalent in the community Conclusion: Practices regarding newborn care were unsatisfactory and knowledge was incomplete among mothers and this should be promoted through improved coverage with existing health services.
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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 | 0.006 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".