Program evaluation of a telepsychiatry service for older adults connecting a university-affiliated geriatric center to a rural psychogeriatric outreach service in Northwest Ontario, Canada
Bibliographic record
Abstract
BACKGROUND: Weekly telepsychiatry consultations have been provided since 2002 to six communities in Northwest Ontario. Staff from a single community psychogeriatric outreach service who work within these communities facilitate the referrals. METHODS: The program evaluation included (a) a chart review of the last 100 referrals, (b) analysis of patient and staff evaluations, (c) a survey mailed to all physicians in referring communities, and (d) three focus groups of staff working in local community agencies. RESULTS: The mean age at the time of consultation was 76.7 years. Sixty-eight percent of patients were females. The most frequent diagnoses were dementia (54%), depression (28%), and mild cognitive impairment (19%). The most frequent medication recommendations were antidepressants or cholinesterase inhibitors. Two hundred ninety-four patient assessments and case consultations were carried out between 2002 and 2009. Post-session evaluation surveys rated the provision of information, whether objectives were met, and overall usefulness of recommendations. The mean scores for these questions on a 5-point scale were between 4.6 and 4.85. Referring physicians were confident and satisfied with the recommendations made for their patients. All planned to continue to use telepsychiatry as a care option for the future. The focus groups added useful information about challenges and potential barriers to utilizing the program. CONCLUSIONS: The program was rated as being highly valued across all modalities of evaluation. Members of the referring team believe that access to a geriatric psychiatrist has broadened the team's knowledge base, its use of assessment tools, and increased their ability to better construct their patients' treatment plans.
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How this classification was reachedexpand
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 | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 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) | 0.001 | 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 teacher head, 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".