Long-term Results from the Empowering a Multimodal Pathway Toward Healthy Youth Program, a Multimodal School-Based Approach, Show Marked Reductions in Suicidality, Depression, and Anxiety in 6,227 Students in Grades 6–12 (Aged 11–18)
Notice bibliographique
Résumé
Here we report on findings from a 15-month follow-up of a school-based program called Empowering a Multimodal Pathway Towards Healthy Youth (EMPATHY). This was primarily intended to reduce suicidal thinking in pre-teens, adolescents, and youth students aged 11-18 in Middle Schools (Grades 6-8) and High Schools (Grades 9-12). It also aimed to reduce depression and anxiety. The EMPATHY multimodal program consisted of repeated data collection, identification of a high-risk group, a rapid intervention for this high-risk group including offering supervised on-line CBT program, a universal CBT intervention for those in Grades 6-8, a variety of interactions with trained staff (“Resiliency Coaches”), and referral to external medical and psychiatric services where appropriate. There were four time-points at which assessments were made: Baseline, 3-months, 7-months, and 15-months. Here we report cross-sectional findings over 15-months in a total of 6,227 students who were assessed at least once during the study period. Additionally, we report longitudinal findings from the 1,884 students who completed all 4 assessments. Our results found highly statistically significant decreases in suicidality rates, with the percentage of the total school population who were actively suicidal decreasing from 4.4% at baseline (n=143 of 3,244) to 2.8% at 15-months (n=125 of 4,496) (p<0.001). There were also highly statistically significant reductions in depression and anxiety scores at each time point. Thus, mean depression scores at baseline for the entire student population were 3.73 ± 3.87 (n=3,244) at baseline and decreased to 3.22 ± 3.52 (n=4,496) (p<0.001). Since most students were not depressed, whole population changes such as this may indicate impact in many areas. In the longitudinal analysis of students who completed all 4 assessments there were also highly statistically significant improvements in depression and anxiety scores at all time points. For example, depression scores decreased from a mean of 3.43 ± 3.67 (n=1,884) at baseline to 2.95 ± 3.53 (n=1,884) at 15-months (p<0.001), while the number who were actively suicidal decreased from 69 to 37. These results suggest that school-based multimodal programs, utilizing a combination of interventions, can have meaningful benefits across entire school populations.
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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 | 0,001 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| 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.
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