Examining the Impact of Trauma-Informed Cognitive Behavioral Therapy on Perinatal Mental Health Outcomes Among Survivors of Intimate Partner Violence (The PATH Study): Protocol for a Feasibility Study (Preprint)
Notice bibliographique
Résumé
BACKGROUND Intimate partner violence (IPV) is a pervasive public health problem, impacting the health and quality of life of survivors worldwide. The trauma of IPV is associated with a high incidence of mental illness, namely depressive and anxiety disorders, and posttraumatic stress disorder (PTSD). Moreover, literature endorses cognitive behavioral therapy (CBT) interventions as a gold standard for those with symptomatology consistent with anxiety disorders, mood disorders, and PTSD. However, efficacy has not been evaluated among a population of pregnant survivors of IPV. OBJECTIVE We present the protocol that will be used to explore the efficacy of trauma-informed cognitive behavioral therapy on maternal and child health outcomes for pregnant women with PTSD, depression, or anxiety symptomatology resulting from IPV. A secondary aim will be to test the validity and feasibility of study methodology to support the successful implementation of a full-scale randomized controlled trial. METHODS The Promoting Attachment Through Healing (PATH) study will use a mixed-methods approach grounded in an intersectional feminist framework to explore the effectiveness of trauma-informed CBT for pregnant survivors of IPV. Study participants will be recruited through the hospital-based Perinatal Mental Health Clinic (London, Ontario, Canada). A feasibility sample of 20 pregnant women (cohort 1) will be selected to engage in an eight-session antenatal CBT intervention facilitated by the program’s perinatal clinical nurse specialist, with evaluation at baseline, at two months postpartum (intervention and online questionnaire), and at six and twelve months postpartum (online questionnaire only). Concurrently, we will conduct a retrospective audit of 100 medical charts (cohort 2; 50 charts of perinatal women who received CBT and 50 charts of women who did not receive perinatal CBT) from the past five years. The efficacy of the intervention will be based on a reduction of mental illness symptomatology, improved maternal-infant attachment, maternal coping, and maternal quality of life. Additionally, the feasibility of the protocol and acceptability of the intervention from the women’s perspective will be examined. Inductive content analysis of all qualitative data will be used to determine common themes. Additionally, descriptive statistics, including measures of central tendency and dispersion, will be computed for all continuous variables. Alternatively, frequency tables will be constructed for all categorical variables. RESULTS The work reported here is in the proposal phase. Once the protocol is implemented, we will report the results in a follow-up paper. Participant recruitment for cohort 1 has started and we have finished data collection for cohort 2. It is anticipated that the results will be available by the end of 2018. CONCLUSIONS Findings will assess the acceptability of the study methodology and protocol for a full-scale randomized controlled trial. Furthermore, if CBT is proven effective for pregnant survivors of IPV, this intervention could be readily adopted by health care and social support services, thereby contributing to an improved standard of care for this unique population. CLINICALTRIAL ClinicalTrials.gov NCT03536442; https://www.clinicaltrials.gov/ct2/show/NCT03536442 (Archived by WebCite at http://www.webcitation.org/6zeurv1ay) REGISTERED REPORT IDENTIFIER RR1-10.2196/9820
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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 | 0,028 | 0,023 |
| Méta-épidémiologie (sens strict) | 0,003 | 0,003 |
| Méta-épidémiologie (sens large) | 0,004 | 0,004 |
| Bibliométrie | 0,002 | 0,002 |
| Études des sciences et des technologies | 0,004 | 0,002 |
| Communication savante | 0,002 | 0,002 |
| Science ouverte | 0,004 | 0,003 |
| Intégrité de la recherche | 0,004 | 0,005 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,048 | 0,008 |
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 ».