8 Food Insecurity during COVID-19 in a Canadian Academic Pediatric Hospital
Notice bibliographique
Résumé
Abstract Primary Subject area Social Paediatrics Background There are concerns of increased food insecurity rates during the COVID-19 pandemic, but there is no evidence to date about families with children with an acute or chronic illness. Parents with a child admitted to the hospital may also experience hospital-based food insecurity, defined as the inability of caregivers to afford adequate food during their child’s hospitalization. Objectives We aimed to measure the prevalence of household and hospital-based food insecurity in an academic pediatric hospital setting during the COVD-19 pandemic. We also explored the effects of food insecurity on parental distress and overall caregivers’ experiences obtaining food during their hospital stay. Design/Methods This was a cross-sectional study from April to October 2020. Household food insecurity was measured using the 18-item U.S. Household Food Security Survey Module. Three adapted questions about hospital-based food insecurity were added. Parental distress was measured with the validated Distress Thermometer for Parents: “0” indicates “no distress” and “10” indicates “extreme distress”. Descriptive statistics were used to assess the proportions of food insecurity. Linear regression models were used to explore the relationship between food insecurity and parental distress adjusted for potential confounders. To explore caregivers’ experiences we included one open-ended question in our survey, asking: “Do you have any other feedback regarding your food situation during your child’s hospital admission?”. Recurrent themes were identified using qualitative analysis. Results 851 families were reached by telephone and 775 (91.0%) provided consent to participate. 435 (56.1%) completed at least one questionnaire [Figure 1 Study Flow Diagram]. Caregivers described a high prevalence of household (34.2%) and hospital-based (38.0%) food insecurity. Both adult (B= 0.21 [95% CI 0.07-0.36]), child (B= 0.38 [95% CI 0.10-0.66]) and hospital-based (B= 0.56 [95% CI 0.30-0.83]) food insecurity were significantly associated with parental distress independent of covariates [Table]. In the qualitative analysis, the financial burden and emotional and practical barriers obtaining food in the hospital were identified as important themes. Parents also commented that they “need to eat to be able to take part in the care of their child during hospitalization”. Conclusion Both household and hospital-based food insecurity were highly prevalent in caregivers and significantly associated with parental distress, independent of covariates. High parental distress is known to be associated with a child’s maladjustment to illness and adherence with medical treatment. Hospitals need to strongly consider reducing barriers for parents to obtain food for themselves during their child’s admission in order to reduce parental distress.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
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 | 0,001 | 0,004 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,002 | 0,004 |
| Études des sciences et des technologies | 0,007 | 0,002 |
| Communication savante | 0,002 | 0,001 |
| Science ouverte | 0,001 | 0,003 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,005 | 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 ».