Practice of the Solution-Focused Approach in Outpatient Care for Adolescent Emotional Disorders: A Conversational Analysis Study in China
Bibliographic record
Abstract
This article aims to study the process and characteristics of doctor-patient conversations in outpatient clinics for adolescent emotional disorder patients with the solution-focused approach (SFA). A qualitative study was carried out in an adolescent mood disorder clinic of a mental illness hospital. The recorded doctor-patient dialogue interview transcriptions were collected and analyzed using conversation analysis. The results show that SFA outpatient clinics and traditional psychiatric outpatient clinics differ in structure and language use. Structurally, there is an additional pre-assessment process. In language use, many SFA-specific questioning methods are used, and traditional symptom-based interviewing is no longer dominant, making it distinct from traditional general outpatient clinics that focus only on patient disease symptoms. Overall, the study highlights the effectiveness and value of SFA in outpatient settings, offering valuable insights to psychiatrists and benefiting adolescent patients through a more positive and strengths-based treatment approach.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 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".