Knowledge and attitude of essential newborn care among postnatal mothers in Bangladesh
Bibliographic record
Abstract
Purpose Neonatal mortality rate is 24 deaths per 1,000 live births in Bangladesh and most of them die during early neonatal period. The purpose of this paper is to assess the knowledge and attitude of neonatal care practices among postnatal mothers in a tertiary care hospital in order to provide a basis for the development of strategies to improve further. Design/methodology/approach A cross-sectional study was carried out in the Dhaka Medical College Hospital, Bangladesh using a convenient sampling technique. In total 211 postnatal mothers were interviewed using a structured questionnaire and χ2 test was used to analyze the data. Findings Among mothers, 37.9 percent were aged between 16–20 years; 16.1 percent had no institutional education; 55 percent were primipara and only 26.5 percent had attended antenatal visit for more than four times. Mothers had apparently good knowledge and attitude about thermoregulation, early initiation of breast-feeding, importance of providing colostrum to the newborn, exclusive breast-feeding (EBF) up to six months of age and immunization at birth. However, this study identified knowledge gap about cord care, eye care, first bathing and hygiene practices. Overall, only a small proportion of respondents had good level of knowledge (37 percent) and attitude (47.4 percent) on newborn care. Highly significant statistical association was found between the knowledge, attitude level and socio-demographic characteristics of respondents. Knowledge and attitude were strongly associated as well. Research limitations/implications There is scope for improvement by providing health education to antenatal and postnatal mothers. Therefore, implementation of the guidelines outlined in the Maternal and Child Handbook (MCH) is highly recommended. Originality/value There is scope for improvement by providing health education to antenatal and postnatal mothers. Therefore, implementation of the guidelines outlined in the MCH is highly recommended to enhance the knowledge and attitude on newborn care among postnatal mothers.
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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 | 0.003 |
| 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) | 0.002 | 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".