Relationship Mothers’ Knowledge, Family’s Income, Family Role and Basic Immunization Status
Bibliographic record
Abstract
Immunization is the government's efforts to reduce children mortality, because immunization is an effective primary prevention to reduce infectious diseases. But the sufficient immunization number is still far to achieve the targets specified. There are many factors influence such as parents and families. The purpose of this study was to analyze the connection of the mothers’ knowledge with family roles (nuclear family and non-core family) alongside of basic immunization status. This research was an observational analytic study using cross sectional design. The sampling used cluster random sampling. Sampling in this research were 46 mothers of infants aged 9-12 month in community health center of Pucuk Lamongan. Analysis of the data used was the chi-square test with significance level α of 0.05. The results showed a connection between mothers’ knowledge (p = 0.027), the role of the nuclear family (p = 0.007), and the role of non-core family (p = 0.020) with basic immunization status. There is no connection between family’s income with basic immunization status. (p = 0.725). The conclusions of the results this study of the mother's knowledge, the role of the nuclear family and non-core family has an important part to increase basic immunization coverage . As to develop KIE complete for mothers about basic immunization which should be obtained for infant. Motivate parents and family to always apply completeness of basic immunization, and utilize the health care that has been provided to maintain the health of her infant. Keywords: basic immunization, role of family, nuclear-noncore
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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 | 0.006 |
| 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".