Handwashing Practices Among Children in Public Schools in Imo State, Nigeria
Bibliographic record
Abstract
This study examined the availability and utilization of handwashing facilities among public primary school pupils in Okigwe Education Zone two (2) of Imo State, Nigeria. Four research questions were posed to guide the study. One hypothesis was formulated and tested. The study adopted a survey research design. Random sampling technique was used to select a sample size for the study. 295 pupils (age bracket 6–14 years) from 12 public primary schools and their form teachers participated in the study. Data were collected with the aid of a structured questionnaire designed from UNICEF's checklist modules for appraising hand washing facilities in schools. Also, observation and focus group discussion were used for the data collection on handwashing practices among pupils using hand washing facilities.Data generated were analyzed using percentage and frequency distribution counts in order to answer the research questions. All information from the focus group discussion using codes and themes were transcribed, grouped and analyzed based on the specific objectives. Findings suggest that out of the twelve schools observed, only two schools had both a handwashing basin with clean water that runs and improvised handwashing facilities at the same time. Based on the findings, hand washing facilities and supplies should be a major priority in all primary schools in Okigwe Education Zone 2 because of its importance in preventing communicable diseases. School health educators should work in conjunction with the Parents Teachers Association of each school to ensure constant and adequate provision of handwashing facilities and supplies. This will further encourage their usage and also reduce absence from schools due to infections.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".