Solution-Focused Therapy For Patients' Psychosocial Problems
Bibliographic record
Abstract
Ever since the 1980s, the importance of patient-and family-centred care has been recognized in family practice.1-6 Sobel indicated that when patients presented with one of the 14 symptoms most common in outpatient clinics (e.g., headache, chest pain, fatigue), a probable cause was established in less than 16% of cases.7 In this biopsychosocial and cultural context, counselling has become an inevitable component of family practice. Poon describes counselling as the process of helping people overcome obstacles to their personal and interpersonal growth and achieve optimum development of their personal resources and goals in life.8 Among the many approaches to counselling and psychotherapy, solution-focused therapy is most suitable for family physicians for the following reasons: it is brief, usually consisting of fewer than five sessions; it involves an intermediate (15-30 minutes) to advanced (30-60 minutes) level of counselling and thus is adaptable within family practice, and it is relatively easy to learn. This module provides an overview of the essential elements of solution-focused therapy, with an emphasis on working with families. The case examples illustrate how solution-focused therapy is used in the family practice setting.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.035 | 0.004 |
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".