Perspectives of Young Adults on Receiving Telepsychiatry Services in an Urban Early Intervention Program for First-Episode Psychosis: A Cross-Sectional, Descriptive Survey Study
Bibliographic record
Abstract
BACKGROUND: Limited knowledge exists on telepsychiatry in specialized services for first-episode psychosis (FEP), despite its potential for improving service access and engagement. OBJECTIVE: To explore access and use of technology, obstacles to attending clinic appointments, and perspectives of young adults with FEP on using telepsychiatry as part of outpatient services. METHODS: A cross-sectional, descriptive survey study was conducted between July and October 2017 with young adults between the ages of 18 and 38 recruited from a specialized program for FEP in an urban Canadian setting. Data were analysed using descriptive statistics and content analysis. RESULTS: Among 51 participants (mean age = 26.1, SD = 4.2; 59% male; 20% experiencing housing instability), more than half (59%, n = 30) rarely or never used mainstream video chat (e.g., Facetime). The majority (78%, n = 40) reported obstacles to attending appointments, with several (37%, n = 19) identifying two or more. Almost half (49%, n = 25) were very favorable towards telepsychiatry and a quarter (25%, n = 13) were somewhat favorable. Participants expressed several concerns about telepsychiatry, including loss of human contact and confidentiality. CONCLUSIONS: To our knowledge, this is a first study on the perspectives of individuals with FEP about telepsychiatry. Despite experiencing obstacles to attending appointments and expressing receptivity towards telepsychiatry, participants did not have access to these services. It is important to provide education to clinicians on the potential of telepsychiatry to improve service access. Also, more research is needed on when, where, and how telepsychiatry can be integrated into existing care while addressing patient and clinician concerns.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".