Community based telepsychiatry service for older adults residing in a rural and remote region- utilization pattern and satisfaction among stakeholders
Bibliographic record
Abstract
BACKGROUND: Evaluation of telepsychiatry (via videoconference) for older adults is mostly focussed on nursing homes or inpatients. We evaluated the role of a community based program for older adults in rural and remote regions of South Australia. METHOD: The utilization pattern was studied using retrospective chart review of telepsychiatry assessments over 24 months (2010-2011). Satisfaction was evaluated through prospective post-consultation feedback (using a 5-point Likert scale), from patients, community based clinicians and psychiatrist participating in consecutive assessments from April-November 2012. Descriptive analysis was used for the utilization. Mean scores and proportions were calculated for the feedback. Mann Whitney U test was used to compare patient subgroups based on age, gender, prior exposure to telepsychiatry services and inpatient/ outpatient status. Feedback comments were analysed for emerging themes. RESULTS: On retrospective review of 134 consults, mean age was 75.89 years (SD 7.55), 60.4% (81) were females, and 71.6% (96) lived independently. Patients had a broad range of psychiatric disorders, from mood disorders to delirium and dementia, with co-morbid medical illness in 83.5% (112). On feedback evaluation (N = 98), mean scores ranged from 3.88-4.41 for patients, 4.36-4.73 for clinicians and 3.67-4.45 for psychiatrists. Feedback from inpatients (14 out of 37) was significantly lower compared to outpatients (37 out of 61) (chi sq. = 0.808, p < 0.05), and they were significantly less satisfied with the wait time (U = 163.0, p < 0.05) and visual clarity (U = 160.5, p < 0.05). Audio clarity was the most common aspect of dissatisfaction (mean score less than 3) among patients (6, 11%). Psychiatrists reported a preference for telepsychiatry over face to face in 55.4% (46) assessments. However, they expressed discomfort in situations of cognitive or sensory disabilities in patients. CONCLUSIONS: In rural and remote areas, community-based telepsychiatry program can be a useful adjunct for psychiatrist input in the care of older adults. Innovations to overcome sensory deficits and collaboration with community services should be explored to improve its acceptance among the most vulnerable population.
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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 | 0.000 | 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 | 0.000 | 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) | 0.000 | 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 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".