Cultural Consultation: A Model of Mental Health Service for Multicultural Societies
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
OBJECTIVES: This paper reports results from the evaluation of a cultural consultation service (CCS) for mental health practitioners and primary care clinicians. The service was designed to improve the delivery of mental health services in mainstream settings for a culturally diverse urban population including immigrants, refugees, and ethnocultural minority groups. Cultural consultations were based on an expanded version of the DSM-IV cultural formulation and made use of cultural consultants and culture brokers. METHODS: We documented the service development process through participant observation. We systematically evaluated the first 100 cases referred to the service to establish the reasons for consultation, the types of cultural formulations and recommendations, and the consultation outcome in terms of the referring clinician's satisfaction and recommendation concordance. RESULTS: Cases seen by the CCS clearly demonstrated the impact of cultural misunderstandings: incomplete assessments, incorrect diagnoses, inadequate or inappropriate treatment, and failed treatment alliances. Clinicians referring patients to the service reported high rates of satisfaction with the consultations, but many indicated a need for long-term follow-up. CONCLUSION: The cultural consultation model effectively supplements existing services to improve diagnostic assessment and treatment for a culturally diverse urban population. Clinicians need training in working with interpreters and culture brokers.
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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 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 it