Courage, hope, and transformation: Patient experiences of web-based, therapist delivered eye movement desensitization and reprocessing for suicidal ideation
Bibliographic record
Abstract
Suicide is a significant global public health issue. Existing evidence-based interventions for suicidal ideation (SI), while helpful, have limitations including suboptimal efficacy, and high resource intensiveness and attrition. As SI is often related to stressful events, Eye Movement Desensitization and Reprocessing (EMDR) psychotherapy, an evidence-based treatment for posttraumatic stress disorder (PTSD), has been utilized as a novel approach for addressing SI. This study explored the lived experiences of adult mental health outpatients who received web-based, therapist-delivered EMDR targeting experiences related to their SI. This qualitative study, which is part of a larger randomized controlled trial (RCT) investigating web-based EMDR for adults with SI, recruited participants from among those who received EMDR treatment. Researchers collected data using semi-structured interviews over Zoom and conducted initial thematic descriptive analysis and coding guided by Braun and Clarke's thematic analysis framework. Fourteen EMDR treatment group participants agreed to be interviewed. Five main themes were identified: (1) systemic obstacles to recovery, (2) relational attunement creating safety, (3) moving past the stuckness of suicidal states, (4) posttraumatic growth and resilience, and (5) unique needs and preferences. Most study participants reported that web-based EMDR therapy for SI was an overall beneficial experience, noting that a strong therapeutic relationship and ability to personalize treatment were key for treatment success. The encouraging and predominantly positive insights from participants in this pioneering work established a foundation for future research and clinical practice regarding the application of EMDR for SI.
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 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 | 0.000 | 0.000 |
| 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 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".