Parental perceptions of a novel subsidy program to address the financial burden of milk allergy: a qualitative study
Notice bibliographique
Résumé
BACKGROUND: Approximately 6-7% of Canadian children have food allergy. These families face substantial burdens due to the additional costs incurred purchasing allergy-friendly products necessary for management compared to families without food allergies. In the year prior to the COVID-19 pandemic, these costs were equivalent to an average of $200 monthly compared to families without food allergy. As food prices continue to rise, rates of food insecurity also increase, disproportionately affecting households with food allergy who have limited choices at food banks. METHODS: Families living or working in Winnipeg, Canada with an annual net income of about $70,000 or less the year prior to recruitment and a child under the age of 6 years old with a physician diagnosed milk allergy were recruited between January and February 2022. Participating families received bi-weekly home deliveries for six months, from March to August 2022, of subsidy kits containing ~$50 worth of milk allergy-friendly products. Semi-structured interviews, completed ± 2 weeks from the final delivery, were audio-recorded, transcribed verbatim, and analyzed thematically. RESULTS: Eight interviews, averaging 32 min (range 22-54 min), were completed with mothers from all different families. On average, mothers were 29.88 ± 4.39 years old and children were 2.06 ± 1.32 years old. All children reported allergies in addition to milk. Based on the data from these interviews, we identified 3 themes: food allergy causes substantial burden for families, "I have to get his allergy-friendly food first before getting to my basic needs", and perceived emotional and financial benefits of a milk allergy-friendly food subsidy program. CONCLUSIONS: This study, along with previous research, suggests that there is a need for assistance for families managing milk allergies. It also provides important information to inform development of programs which can address these financial challenges. Our in-kind food subsidy was perceived as having a positive impact on food costs and stress associated with food allergy management, however, parents identified a need for more variety in the food packages. Future programs should strive to incorporate a greater variety of products to address this limitation.
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,010 | 0,019 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,009 | 0,006 |
| Communication savante | 0,003 | 0,003 |
| Science ouverte | 0,002 | 0,003 |
| Intégrité de la recherche | 0,001 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,003 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».