Optimization of Internet-Delivered Cognitive Behavioral Therapy for Canadian Leaders Within Public Safety: Qualitative Study
Notice bibliographique
Résumé
BACKGROUND: Canadian public safety personnel (PSP) report high rates of mental health concerns and barriers to treatment. PSPNET is a clinical research unit that offers internet-delivered cognitive behavioral therapy (ICBT) that is free, confidential, and developed with and for PSP. Treatment outcomes are promising with clinically significant symptom improvement (eg, anxiety, depression, and posttraumatic stress) and favorable treatment satisfaction. While these results are promising, research has yet to explore ways to optimize therapist-guided ICBT for leaders within public safety. Optimizing ICBT for leaders is particularly important given their widespread organizational impact. OBJECTIVE: This study aims to investigate (1) the perceived mental health stressors of Canadian leaders within public safety, (2) the degree to which leaders perceived existing therapist-guided ICBT courses tailored for PSP (ie, PSP Wellbeing Course and PSP PTSD Course) as suitable for their needs, and (3) ways to further optimize therapist-guided ICBT for public safety leaders. METHODS: This study included 10 clients who self-identified as being in a supervisory or leadership position within their public safety organization and completed either the therapist-guided PSP Wellbeing Course or PSP PTSD Course. We used descriptive statistics to analyze demographics, mental health symptoms, treatment engagement, and treatment satisfaction. We also used a reflexive thematic analysis of semistructured interview transcripts to assess leaders' course perceptions and feedback. RESULTS: Canadian leaders within public safety reported occupational and nonoccupational stressors and enrolled in ICBT to support their own or colleagues' mental health. Most clients enrolled in the PSP Wellbeing Course, accessed 4 of 5 lessons (n=7, 70%), engaged with therapist support (n=7, 70%), and identified as employed (n=8, 80%), White (n=8, 80%), and men (n=7, 70%) with an average age of 45 years. At pretreatment, 80% of clients endorsed clinically significant symptoms of one or more disorders; most often depression (n=7, 70%) and anger (n=6, 60%). Clients reported favorable attitudes toward the ICBT courses with most reporting that they were satisfied with the course (n=9, 90%). Feedback to further optimize ICBT content for leaders included the development of a leader case story (n=6, 60%) and new resources to help leaders apply skills learned in ICBT within the context of their leadership roles (n=4, 40%). Leaders also recommended optimizing ICBT delivery by improving the platform technology and incorporating more multimedia. CONCLUSIONS: Canadian leaders within public safety perceived therapist-guided ICBT developed with and for PSP as a suitable treatment option for their needs and identified ways to further optimize its content and delivery. Future research should investigate the impacts of these efforts and explore optimizing ICBT for other groups of clients. TRIAL REGISTRATION: ClinicalTrials.gov NCT04127032, https://www.clinicaltrials.gov/study/NCT04127032; ClinicalTrials.gov NCT04335487, https://clinicaltrials.gov/study/NCT04335487.
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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 | 0,006 | 0,013 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,002 |
| Études des sciences et des technologies | 0,014 | 0,005 |
| Communication savante | 0,003 | 0,001 |
| Science ouverte | 0,002 | 0,003 |
| Intégrité de la recherche | 0,001 | 0,002 |
| 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 ».