Professionals’ and Students’ Perceived Needs for an Online Supportive Application for Reducing School Absence and Stimulating Reintegration: Concept Mapping Study
Notice bibliographique
Résumé
BACKGROUND: To limit students' medical absenteeism and premature school dropout in the Netherlands, the Medical Advice for Sick-reported Students (MASS) intervention was developed to enhance collaboration between students, parents, school, and health care professionals. MASS reduces medical absenteeism. However, it does not yet optimally support professionals in monitoring students nor automatically stimulating students' autonomy regarding their situation. OBJECTIVE: This study aimed to identify professionals' and students' perceived need for an online supportive application to monitor and reduce absenteeism and stimulate student autonomy and school reintegration. METHODS: Concept mapping sessions were held with professionals (n=23) and secondary school students (n=27) in group meetings or online to identify their perspectives and needs. Multidimensional scaling and hierarchical clustering were done with Ariadne 3.0 software. The resulting concept maps were reclustered and interpreted by 4 researchers. RESULTS: Three heterogeneous groups of professionals generated 17 clusters (135 unique statements), with a mean importance rating ranging from 2.9 to 4.6 on a Likert scale with scores ranging from 1 to 5. Three heterogeneous groups of secondary school students generated 18 clusters (95 unique statements), with a mean importance rating ranging from 3.2 to 4.6. Professionals considered as most important the following: easily accessible contact with students; supporting, motivating, and rewarding students; monitoring absent students; providing information to students and their parents; exchanging information between professionals. Students considered as most important the following: better teacher-student communication and respect; communication between school professionals on the one hand and parents, other professionals, and students on the other hand; guidance in missed learning materials and tests. Students perceived an online format for support as the obvious option. CONCLUSIONS: Both professionals and students were positive about an online application to support students in dealing with medical absenteeism, especially considering the need for better and easily accessible contact between students and professionals. An eHealth or mobile health (mHealth) application addressing these aspects could stimulate student autonomy and have positive effects on medical absenteeism.
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Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,003 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,002 | 0,000 |
| Communication savante | 0,000 | 0,001 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 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 tête enseignante, 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 ».