Experiencing a first food allergic reaction: a survey of parent and caregiver perspectives
Bibliographic record
Abstract
BACKGROUND: Insufficient knowledge of food allergy and anaphylaxis has been identified by caregivers as an important barrier to coping, and a potential cause of fear and anxiety, particularly for those with children newly diagnosed with food allergy. The purpose of the study was to better understand the experiences of caregivers of children with a first allergic reaction to food, and to identify any deficiencies in the information received at diagnosis. METHODS: A mixed-methods study consisting of an online survey administered to the Anaphylaxis Canada online registry (a patient support group database of approximately 10,000 members), and a follow-up qualitative interview with a subset of survey participants. Analysis consisted of frequency analysis (quantitative and qualitative data) and descriptive statistics to calculate proportions and means with standard deviations. Qualitative analyses were guided by the constant comparative method of grounded theory methodology. RESULTS: Of 293 survey respondents, 208 were eligible to complete the survey (first allergic reaction to food within 12 months of the study), and 184 respondents consented. Identified gaps included education about food allergy, anaphylaxis management, for example, how to use epinephrine auto- injectors, and coping strategies for fear and anxiety. The qualitative follow-up study supported these findings, yielding 3 major themes: 1) lack of provision of information following the episode on the recognition and management of food allergy related allergic reactions, 2) prolonged wait times for an allergist, and 3) significant family anxiety. CONCLUSIONS: The online survey highlighted multiple deficiencies at diagnosis, findings which were supported by the follow up qualitative study. Results will inform the development of educational strategies for patients newly diagnosed with food allergy.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".