Managing Children with Asthma at Home Daycares: The Views of Providers
Notice bibliographique
Résumé
Background: Over 180,000 deaths annually are caused by asthma. It is expected that more than 80% of these deaths could be avoided with proper educational and chronic disease management programs. For example, Rayne Stanley, a three-year-old child, died at a daycare center in the United States after suffering from severe asthma. Similarly, Ryan Gibbons, a young boy from southwestern Ontario died in October 2012 after suffering from an asthma attack at school. Rayne Stanley and Ryan Gibbons are two examples of deaths that could have been avoided with the right asthma management programs. The limited literature in this field shows that asthma management programs are not implemented well at daycares and preschools. \n \nAim: The purpose of this study was to explore how home daycare staff manages asthma for children under five years. It explored how asthma management is understood by home daycare providers, and how home daycare providers monitor children with asthma. It also explored potential barriers and facilitators to asthma management at home daycares. \n \nMethods: This research was designed as qualitative, exploratory research. Semi-structured individual face to face interviews with eleven home daycare providers (n=11), which included both licensed and unlicensed home daycares operating in the Region of Waterloo in Ontario, Canada. All interviews were tape-recorded and transcribed verbatim. Thematic analysis was used to analyze transcripts for common themes using the Framework Approach. \n \nResults: Three themes emerged in the analysis: a) Knowledge about diagnosing asthma, b) dealing with asthma attacks, and c) asthma management. The results suggested that (a) daycare provider’s experience in dealing with childhood asthma plays a major role in asthma management practices, where providers with their own children suffering from asthma provided a great model for asthma management in daycares. However, less experienced providers, who represent forty-five percent of participants in this study, fell short in many areas. This gap was enabled by the (b) scarcity of legislations and training programs for childhood asthma management in daycares. The gap was widened by the (c) lack of access to child asthma related medical information. \n \nConclusions: In this section, the findings are presented in the context of expected impact areas. The findings showed that home daycare providers managing children with asthma in this study indicated the need for (a) asthma management training, (b) establishing official processes and policies for asthma management, and (c) interventions to improve access to and communication with healthcare systems to enable asthma related information acquisition. The recommendations in this section help to establish a well-informed, more proactive, home daycare provider network and a safer environment for children with asthma.
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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 | 0,008 | 0,017 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,008 | 0,005 |
| Communication savante | 0,004 | 0,003 |
| Science ouverte | 0,001 | 0,004 |
| Intégrité de la recherche | 0,002 | 0,004 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 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 ».