Comparing The Effectiveness Of Mentalization-Based Therapy And Dialectical Behavior Therapy In An Adult Population With Cluster B Personality Disorders To Reduce Hospital Service Use
Notice bibliographique
Résumé
Introduction Mentalization-based therapy (MBT) and dialectical behavior therapy (DBT) are two treatments known to be effective for borderline personality disorder (BPD). However, head-to-head comparisons between those two treatments are scarce and their effectiveness in naturalistic clinical services, where BPD is often comorbid with other cluster B personality disorders (PD), needs to be further explored. Objectives The study’s goal was to answer the following question: Is there a difference in emergency department visits, hospitalizations and dropout rates after one year of treatment in MBT compared to DBT for a clinical adult population with cluster B PD? Methods We compared the effectiveness of MBT and DBT in 288 patients between 2015 and 2019 with at least one cluster B PD by measuring their emergency services use and hospitalizations one year before and one year after beginning therapy. Drop-out rates for those two treatment modalities are also compared. Image 1 illustrates the patient distribution for the study. Results In terms of reducing emergency room use, patients in each treatment group experienced a significant decrease with medium effect sizes (p < .001 for both, d=.768 for MBT and d=.640 for DBT). In terms of reducing hospitalizations, the MBT group had a significant decrease (p < .05) with a medium effect size (d=.568) whereas the DBT group had a non-significant decrease (p = .595) with a negligible effect size (d=.140). When we compare both therapies, no significant differences were found between them in terms of reductions in emergency room use (p = .358) and hospitalizations (p =.195), as well as dropout rates (p = .743). Image 2 further illustrates the dropout trends in the first year of treatment for both groups in intervals of 3 months. Hospitalizations were rare in our population, which may hinder the validity of results containing this variable. In absolute numbers, total emergency room visits decreased from 119 to 37, whereas hospitalizations were reduced from 24 to 12. Drop-out rates before entering treatment were high (20.6%), as it was during treatment for both therapies (around 30% in the first year of treatment). Image: Image 2: Conclusions This study emphasizes that both DBT and MBT are linked to a reduction in service use over time. Dropout rates in both treatments are also similar to other studies. Therefore, future research should investigate the factors that can help clinicians guide individuals with PDs towards the type of therapy that is most suitable for them. Disclosure of Interest None Declared
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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 | 0,002 | 0,006 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,002 |
| Bibliométrie | 0,001 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,001 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,001 |
| 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 ».