Sudden Gains in PTSD Symptoms and Social Functioning in Cognitive Processing Therapy for Post traumatic Stress Disorder
Bibliographic record
Abstract
Sudden gains (SGs) are rapid improvements in symptoms between two consecutive therapy sessions, and have been shown to relate to treatment outcomes. This dissertation investigated SGs in Posttraumatic Stress Disorder (PTSD) symptoms, interpersonal relationship functioning, and social role functioning, in a Cognitive Processing Therapy (CPT) implementation effectiveness trial. This was the first study to the author's knowledge to investigate SGs beyond primary symptoms in CPT. The three forms of SGs were examined to better understand their timing, frequency, overlap, and how they each predict outcomes over time. The results indicated that PTSD SGs occurred more often and at different sessions than SGs in facets of social functioning. Most individuals experienced only one form of SG and there were no significant clinical or demographic differences in those who had PTSD only SGs, social functioning only SGs, or both symptom and functioning SGs. PTSD SGs and interpersonal relationship functioning SGs both predicted changes in PTSD symptoms and interpersonal difficulties over time, but not changes in social role functioning. SGs in social role functioning predicted all three forms of outcomes. The findings suggested that there are multiple forms of SGs beyond primary symptom changes that CPT aims to target, and these various SGs are all predictive of patient outcomes. Clinicians should highlight various SGs that patients may experience to further enhance outcomes. Additional research is needed to better understand the cause of different forms of SGs, additional forms of SGs beyond those measured in the present study, and the most appropriate ways to define SGs or comparison groups.
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.
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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".