Knowledge and Attitude regarding Family Planning Methods among Postnatal mothers at Bishop Benziger Hospital, Kollam
Bibliographic record
Abstract
Introduction: a descriptive study was conducted to assess the knowledge and attitude regarding family planning methods among postnatal mothers at Bishop Benziger Hospital, Kollam. The objectives: of the study were to assess the knowledge regarding family planning methods among postnatal mothers, to assess the attitude regarding family planning methods among postnatal mothers, to correlate between knowledge and attitude of postnatal mothers regarding family planning methods, to find the association between knowledge score and selected demographic variables such as age, education, occupation, place of living, type of family, gravida and previous knowledge and to find the association between attitude score and selected demographic variables such as age, education, occupation, place of living, type of family, gravida and previous knowledge. Methodology: Purposive sampling was used to select 60 samples. Data were collected through structured questionnaire. Result: shows that 43.33% of the postnatal mothers possessed moderate knowledge and 56.67% of the postnatal mothers possessed adequate knowledge. Regarding the attitude 36.67% of the postnatal mother possessed moderate attitude and 63.33% of the postnatal mothers possessed adequate attitude. The Karl pearsons correlation coefficient was computed to determine the correlation between knowledge score and attitude score and the score was computed r=0.12 for a sample size of 60, shows weak positive correlations. Conclusion: There is a moderate knowledge regarding the family planning methods among postnatal mothers and they are trying to aware more about the newer methods in family planning methods.
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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 | 0.000 | 0.002 |
| 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) | 0.006 | 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".