Impact of a boil water advisory on in-home water and food handling practices: A qualitative study
Bibliographic record
Abstract
Boil water advisories (BWAs) are issued when municipal drinking water supplies are found to be contaminated with microbial pathogens. This event case study describes how a BWA in 2000 influenced in-home consumer practices in a small Canadian rural community with high rates of morbidity and mortality during a waterborne outbreak. Fifty-eight adult respondents answered opened-ended questions in focus groups or telephone interviews relating to a 198-day BWA. Responses from a purposive sample are presented. A home pathogen control framework systematically positioned self-reported handling practices of three groups (Mothers, Seniors, and Others) for assessment. Mothers reported using bottled water for all in-home activities, including bathing children, out of fear that boiling would not render the tap water safe. Older respondents had problems coping as evidenced by using potentially risky dishwashing practices, needing more time to change practices, reporting difficulties transporting water within the home, choosing to avoid purchasing fresh food for the duration of the event, and failing to recognize that Seniors are as much at risk for illness or complications as are young children. Seventy-two per cent of Others took two or more days to comply with the initial recommendations. Only males stated the BWA was not problematic. Issues requiring attention include: the need to provide multiple compelling messages repeatedly in more than one format targeted to specific at-risk groups; the need for messages to be prescriptive, practical, salient and timely for residents to change practices that reduce or eliminate crosscontamination and exposure; and a requirement that messages must be correct the first time they are presented. Respondents in this study were mostly well educated and experienced in handling food in the home but were unable to implement a full home pathogen control plan. Less well educated individuals or those with cognitive deficits would likely experience greater difficulty in managing the BWA. Changes in food purchasing and consumption patterns in a BWA of long duration could have serious nutritional implications for at-risk populations. The results are of greatest use to those preparing advisory messages for the general public or food and health professionals working with individuals during a waterborne outbreak.
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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 | 0.007 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.010 | 0.007 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.002 | 0.002 |
| 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".