Optimizing borderline personality disorder treatment by incorporating significant others: A review and synthesis.
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Borderline personality disorder (BPD) is a debilitating mental health condition that is highly associated with distress in close relationships and in romantic and nonromantic (e.g., familial) significant others. Interventions that efficiently improve BPD treatment outcomes are needed. Theory and research suggest that BPD may both promote and be maintained by close relationship distress. Incorporating significant others into BPD treatments may therefore present a novel and unique opportunity to maximize treatment outcomes. This work systematically reviews the empirical support for interventions that incorporate significant others in BPD treatment in addressing three potential treatment targets: (a) BPD pathology, (b) significant other distress, and (c) close relationship distress. Three distinct categories of intervention that involve significant others into BPD treatment are presented, and the interventions that fall within them are reviewed: (a) significant-other-assisted interventions, (b) education- and family-facilitated engagement interventions, and (c) disorder-specific interventions. Twelve articles outlining six treatments that vary in terms of potential treatment target, form of intervention, and level of empirical support are discussed. Interventions that target BPD in the context of close relationships, which are disorder-specific interventions, have amassed the most robust evidence base as an efficacious approach for all three targets at once. We conclude our review with a synthesis of the extant literature and offer future directions in terms of advancing theory to better understand and treat BPD. (PsycINFO Database Record (c) 2019 APA, all rights reserved).
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.000 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.005 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 it