Gatekeepers of health: A qualitative assessment of child care centre staff's perspectives, practices and challenges to enteric illness prevention and management in child care centres
Bibliographic record
Abstract
BACKGROUND: Enteric outbreaks associated with child care centres (CCC) have been well documented internationally and in Canada. The current literature focuses on identifying potential risk factors for introduction and transmission of enteric disease, but does not examine why these risk factors happen, how the risk is understood and managed by the staff of CCCs, or what challenges they experience responding to enteric illness. The purpose of this study was to explore the understanding, knowledge and actions of CCC staff regarding enteric illness and outbreaks, and to identify challenges that staff encounter while managing them. METHODS: Focus groups were conducted with staff of regulated CCCs in Southern Ontario. Five focus groups were held with 40 participants. An open ended style of interviewing was used. Data were analyzed using content analysis. RESULTS: CCC staff play an important role in preventing and managing enteric illness. Staff used in-depth knowledge of the children, the centre and their personal experiences to assist in making decisions related to enteric illness. The decisions and actions may differ from guidance provided by public health officials, particularly when faced with challenges related to time, money, staffing and parents. CONCLUSION: CCC staff relied on experience and judgment in coordination with public health information to assist decision-making in the management of enteric illness and outbreaks. Advice and guidance from public health officials to CCC staff needs to be consistent yet flexible so that it may be adapted in a variety of situations and meet regulatory and public health requirements.
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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 | 0.018 | 0.026 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.012 | 0.011 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.003 | 0.007 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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".