Countertransference towards suicidal patients: a systematic review
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
Abstract Countertransference towards suicidal patients may blur healthcare professionals’ clinical judgment and lead to suboptimal decision-making. We conducted a systematic review of the quantitative studies on this topic. Following PRISMA guidelines, various databases were searched for studies measuring countertransference in healthcare professionals treating suicidal patients. Two authors independently performed screening and the quality of included studies was formally assessed. Ten studies were identified (3/5/2 of low/intermediate/high quality, respectively). Cross-sectional studies showed evidence for specific and adverse countertransference (e.g., disinterest, anxiety, overwhelming, rejection, helplessness or distress) towards suicidal patients. Furthermore, countertransference was prospectively associated with suicidal behavior and ideation in studies that explored this issue, but the meaning of this association remains to be clarified. Healthcare professionals’ characteristics (e.g. professional background, gender, personality traits) influenced countertransference. Suicidal patients elicit adverse countertransference, which should be addressed in clinical practice and through dedicated training.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.008 | 0.002 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.003 |
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