Is There an App for That? Assessing the Quality and Content of Apps for Asthma Management Available In Canada
Notice bibliographique
Résumé
Abstract BACKGROUND: Asthma is the most common chronic respiratory disease in Canada, with highest prevalence in children 5-17 years of age. The use of effective apps for asthma management for children and adolescents may decrease the significant morbidity of this disease. A wide range of apps designed to assist in the home management of asthma are available online. However, there are no published data assessing the quality and content of asthma apps for children and families in Canada. OBJECTIVES: To evaluate apps targeted at children or parents for the active management of asthma based on quality, accuracy of content and presence of advertising. DESIGN/METHODS: The iOS and Google Play stores were searched using the key terms “asthma”, “reactive airways”, “puffer”, and “wheeze”. Apps that were available in English or French, were interactive, were targeted at children or their families, and addressed the medical management of asthma were included. Apps were examined using a detailed data collection tool to assess usability and content. Quality criteria was based on a published, validated tool. Content was evaluated based on the Canadian Thoracic Society asthma guidelines. RESULTS: A total of 95 apps were screened, and 11 met the inclusion criteria. Average app quality score was 3.65 (range 2.63 – 4.38) out of 5. One app used 7 out of 7 CTS criteria in assessing asthma control, one used 6, six used 5, and three used 4. 10 out of 11 apps had the capacity to track symptoms, which was linked to level of asthma control based on CTS/CPS criteria. 8 out of 11 apps had the capacity to record medication doses in a journal format and provided daily medication reminders. 6 apps had the capacity to create and save a personalized asthma action plan. All apps used medications available in Canada. The most functional app based on these criteria was asthmamd, followed by AsthmaSense. One app was funded but a pharmaceutical company and had industry logo, but no significant brand bias. No other apps had specific industry advertising. None were specifically designed for use by children or adolescents. CONCLUSION: 11 relatively high-quality apps are available for asthma management for Canadian families. Of these apps, the ones that best match quality, adherence to CTS guidelines, and lack of marketing/branding are asthmamd and AsthmaSense. There exists a gap to create apps that are specifically targeted at children and adolescents with high functionality for managing 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 | 0,007 | 0,074 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,009 | 0,012 |
| Études des sciences et des technologies | 0,003 | 0,002 |
| Communication savante | 0,005 | 0,002 |
| Science ouverte | 0,002 | 0,002 |
| Intégrité de la recherche | 0,001 | 0,001 |
| 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 ».