Virtual Trauma-Focused Therapy for Military Members, Veterans, and Public Safety Personnel With Posttraumatic Stress Injury: Systematic Scoping Review
Notice bibliographique
Résumé
BACKGROUND: A necessary shift from in-person to remote delivery of psychotherapy (eg, teletherapy, eHealth, videoconferencing) has occurred because of the COVID-19 pandemic. A corollary benefit is a potential fit in terms of the need for equitable and timely access to mental health services in remote and rural locations. Owing to COVID-19, there may be an increase in the demand for timely, virtual delivery of services among trauma-affected populations, including public safety personnel (PSP; eg, paramedics, police, fire, correctional officers), military members, and veterans. There is a lack of evidence on the question of whether digital delivery of trauma-therapies for military members, veterans, and PSP leads to similar outcomes to in-person delivery. Information on barriers and facilitators and recommendations regarding digital-delivery is also scarce. OBJECTIVE: This study aims to evaluate the scope and quality of peer-reviewed literature on psychotherapeutic digital health interventions delivered remotely to military members, veterans, and PSP and synthesize the knowledge of needs, gaps, barriers to, and facilitators for virtual assessment of and virtual interventions for posttraumatic stress injury. METHODS: Relevant studies were identified using MEDLINE (Medical Literature Analysis and Retrieval System Online), EMBASE (Excerpta Medica dataBASE), APA (American Psychological Association) PsycINFO, CINAHL (Cumulative Index of Nursing and Allied Health Literature) Plus with Full Text, and Military & Government Collection. For collation, analysis, summarizing, and reporting of results, we used the CASP (Critical Skills Appraisal Program) qualitative checklist, PEDro (Physiotherapy Evidence Database) scale, level of evidence hierarchy, PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews), and narrative synthesis. RESULTS: A total of 38 studies were included in this review. Evidence for the effectiveness of digital delivery of prolonged exposure therapy, cognitive processing therapy, behavioral activation treatment with therapeutic exposure to military members, veterans, and PSP was rated level 1a, whereas evidence for cognitive behavioral therapy was conflicting. The narrative synthesis indicated that virtual delivery of these therapies can be as effective as in-person delivery but may reduce stigma and cost while increasing access to therapy. Issues of risk, safety, potential harm (ie, suicidality, enabling avoidance), privacy, security, and the match among the therapist, modality, and patient warrant further consideration. There is a lack of studies on the influences of gender, racial, and cultural factors that may result in differential outcomes, preferences, and/or needs. An investigation into other therapies that may be suitable for digital delivery is needed. CONCLUSIONS: Digital delivery of trauma therapies for military members, veterans, and PSP is a critical area for further research. Although promising evidence exists regarding the effectiveness of digital health within these populations, many questions remain, and a cautious approach to more widespread implementation is warranted.
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 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 | 0,000 | 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 ».