Patient-driven learning and symptom monitoring using handheld technology: A new perspective on education and counseling in the multidisciplinary Pediatric Inflammatory Bowel Disease Team
Notice bibliographique
Résumé
When faced with a life-changing event such as a diagnosis of inflammatory bowel disease (IBD), young patients and their families are frequently overwhelmed by the volume and complexity of the information given to them. A recent audit conducted within our Division has identified important deficits in the knowledge of patients and parents with regards to disease location and previous investigation results (Benchimol et al. IBD 2010). Reporting of IBDrelated symptoms and compliance with medication are particularly troublesome in the teenage years (Hommel et al. IBD 2009), thus impeding the delivery of adequate IBD care. Our aims were to design a novel way of empowering young patients and their families to come to terms with the diagnosis of IBD, to enable patient-driven learning by engaging children/teenagers and to allow the contemporaneous symptom monitoring and documentation of adherence to prescribed medication. We have developed an application, for use on a handheld device such as iPod/iPad or Android Smartphone, containing an IBD-video-academy, a dedicated IBD-educational game and a real time recording feature of disease activity and compliance with medication, which will be beta-tested during the Summer of 2011 and presented at the meeting. Until now, IBD-related information was most often delivered to young patients and their families at the time of diagnosis or during disease flares using printed material. Consequently, IBD-education was mostly directed at parents/guardians with children/teenagers often too unwell to make full use of the provided counseling, in spite of the increased time commitment by particularly IBD Nurse Specialists worldwide. This application has given our young patients and their families the opportunity to preview/review the information given during the face-to-face meeting with a member of our IBD-team. Thus, the time spent with the health professional can be more focused on answering questions. Within the same app, we have included a feature to monitor disease activity and treatment compliance in real time. This has allowed our young patients to take control of their symptom reporting, to generate a clinical summary-pdf prior to follow-up in the IBD clinic and to actively prepare for a transition to adult care. Our innovative approach to pediatric IBD-care has resulted in the development of a dedicated application for use on handheld devices. This app has enabled ongoing patient-driven learning and real time recording of disease activity and compliance.
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 | 0,003 | 0,005 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,001 |
| Bibliométrie | 0,001 | 0,000 |
| Études des sciences et des technologies | 0,001 | 0,002 |
| Communication savante | 0,003 | 0,003 |
| Science ouverte | 0,001 | 0,003 |
| Intégrité de la recherche | 0,003 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,007 | 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 ».