Acceptance, Safety, and Effect Sizes in Online Dialectical Behavior Therapy for Borderline Personality Disorder: Interventional Pilot Study (Preprint)
Bibliographic record
Abstract
BACKGROUND The potential of telehealth psychotherapy (ie, the online delivery of treatment via a video web-based platform) is gaining increased attention. However, there is skepticism about its acceptance, safety, and efficacy for patients with high emotional and behavioral dysregulation. OBJECTIVE This study aims to provide initial effect size estimates of symptom change from pre- to post treatment, and the acceptance and safety of telehealth dialectical behavior therapy (DBT) for individuals diagnosed with borderline personality disorder (BPD). METHODS A total of 39 individuals meeting the DSM-5 (Diagnostic and Statistical Manual of Mental Disorders [Fifth Edition]) criteria for BPD received 1 year of outpatient telehealth DBT at 3 sites in Germany and Canada. Effect size estimates were assessed using pre-post measures of BPD symptoms, dissociation, and quality of life. Safety was evaluated by analyzing suicide attempts and self-harm. Additionally, acceptance and feasibility, satisfaction with treatment, useability of the telehealth format, and the quality of the therapeutic alliance were assessed from both therapists’ and patients’ perspectives. All analyses were conducted on both the intention-to-treat (ITT) and according-to-protocol (ATP) samples. RESULTS Analyses showed significant and large pre-post effect sizes for BPD symptoms (d=1.13 in the ITT sample and d=1.44 in the ATP sample; P<.001) and for quality of life (d=0.65 in the ITT sample and d=1.24 in the ATP sample). Dissociative symptoms showed small to nonsignificant reductions. Self-harm behaviors decreased significantly from 80% to 28% of all patients showing at least 1 self-harm behavior in the last 10 weeks (risk ratio 0.35). A high dropout rate of 38% was observed. One low-lethality suicide attempt was reported. Acceptance, feasibility, and satisfaction measures were high, although therapists reported only moderate useability of the telehealth format. CONCLUSIONS Telehealth DBT for BPD showed large pre-post effect sizes for BPD symptoms and quality of life. While the telehealth format appeared feasible and well-accepted, the dropout rate was relatively high. Future research should compare the efficacy of telehealth DBT with in-person formats in randomized controlled trials. Overall, telehealth DBT might offer a potentially effective alternative treatment option, enhancing treatment accessibility. However, strategies for decreasing drop-out should be considered. CLINICALTRIAL German Clinical Trials Register DRKS00027824; https://drks.de/search/en/trial/DRKS00027824
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.021 | 0.059 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".