Mental health services for Nunavut children and youth: evaluating a telepsychiatry pilot project
Bibliographic record
Abstract
INTRODUCTION: This study examines the delivery of psychiatric consultation services using videoconferencing technology to health and mental health workers in the Nunavut territory of Canada. The research provides insights into the TeleLink Mental Health Program and the delivery of professional-to-professional program consultations and continuing education seminars. METHODS: Participant observation of 12 program consultations and four continuing education sessions was conducted. Individual interviews were conducted with the consulting psychiatrist and the lead program coordinator in Nunavut. As well, a focus group was held with Nunavut workers who participated in the televideo sessions. RESULTS: The study found a number of factors that facilitated or hindered the process and content of a consultation-based telepsychiatry program and its effect on building capacity among frontline staff. Four main themes emerged related to the delivery of psychiatric services via televideo: gaining access, ensuring culturally appropriate services, providing relevant continuing education, and offering stable and confidential technology. CONCLUSIONS: Live interactive videoconferencing technology is an innovative and effective way of delivering specialized mental health services to professionals working in remote areas of Nunavut. Study results provide important strategies for expanding this approach to other jurisdictions in Nunavut and other Inuit regions.
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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 | 0.009 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".