NOURISH-US: a mixed-methods, randomized crossover study of a program designed to reduce the financial burden of food allergy
Notice bibliographique
Résumé
Abstract Background Food allergy imposes considerable financial costs on families, but few programs are available in Canada to offset these costs. To fill this gap, we developed, piloted, and evaluated a program designed to address the financial burden of food allergy. Methods The current study employed the use of an unblinded, crossover design. Participating families who began the study in the case condition received biweekly deliveries of food packages for 2 months, while those in the control condition received recipes and educational materials. Following the initial study period, the groups entered a one-month washout period and the conditions were reversed. During both conditions, an adult member of each participating family (“caregivers”) responded to a quantitative cost measure and completed a qualitative interview. Quantitative data were analysed using a series of linear mixed models. Qualitative data were analysed using thematic analysis. Results A total of 14 participants were randomized to a sequence using Stata. However, 5 participants were dropped from the final quantitative sample due to a failure to complete one or more set of quantitative measures. Caregivers included in the final quantitative sample were 32.1 years old, on average, overwhelmingly female (89%), and had annual, after-tax, household income of $52,660.00 (SD=$23,188.92; CAD). Target children were largely under six years old (89%) and were evenly split between boys (44%) and girls (44%). Milk (67%), peanut (67%), and egg (67%) allergies were most common. Quantitative results revealed participants had non-significantly lower indirect costs in the food delivery condition ($724.56 vs. $797.83), largely because of lower food preparation costs ($561.41 vs. $656.15). In contrast, participants reported non-significantly higher direct costs when they were receiving the food packages ($678.47 vs. $655.56). Findings from the qualitative interviews suggest that this increase may reflect the fact that participants purchased more expensive grocery items in response to the cost savings afforded by the program. Conclusions Participants derived several benefits from the program, but more research is needed to better understand how to maximize the impact of programs like NOURISH-US and to identify families most in need of financial support.
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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 | 0,013 | 0,011 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,003 | 0,002 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,002 | 0,002 |
| Communication savante | 0,002 | 0,002 |
| Science ouverte | 0,002 | 0,001 |
| Intégrité de la recherche | 0,003 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,008 | 0,001 |
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 ».