Client acceptability and quality of life – telepsychiatry compared to in-person consultation
Bibliographic record
Abstract
We evaluated client satisfaction and one-month mental health outcomes for telepsychiatry clients compared with those undergoing a face-to-face psychiatric consultation. Clients were asked to complete an SF-12 health survey before the consultation, a satisfaction survey after the consultation, and were contacted for a one-month follow-up SF-12 survey by telephone. Forty-eight of the 62 initial responders (77%) were available for contact by telephone after one month. Telepsychiatry clients demonstrated significant improvements on pre- and post-SF-12 mental health measures (t = 3.7; P = 0.001), while there was no change for the in-person group (t = 1.0; P = 0.35). Telepsychiatry clients felt that they could present the same information as in person (93%), were satisfied with their session (96%), and were comfortable in their ability to talk (85%); this was similar to the in-person clients. They reflected slightly lower levels of satisfaction regarding feeling supported and encouraged than did the in-person clients. Both telepsychiatry clients and traditional face-to-face psychiatry clients were satisfied with their experience of mental health care service provision, and mental health improvements were evident in the telepsychiatry patients.
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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 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.008 | 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".