The value of community psychiatric services for the elderly’s dementia caregiver group: Exploring the perspectives of participants
Bibliographic record
Abstract
Community Psychiatric Services for the Elderly (CPSE) at a large teaching hospital in Toronto has offered a monthly support group for caregivers of persons with dementia for over 30 years. Participants were surveyed in January 2018 about group attendance, benefits of attending the group, and areas for improvement. Results are shared in this case study. A total of 8 participants responded to the survey with a response rate of 47%. The feedback was predominantly positive. The most prevailing theme that emerged from the survey responses was group members’ appreciation for the opportunity to meet with one another to discuss relevant issues and gain support from the facilitator and each other. Feedback from the survey also revealed opportunities for improvement on how the group could be better facilitated to elicit more equal participation from all group members. Formally assessing the value of the group from the perspectives of participants confirmed that the group is a safe place for dementia caregivers to get support and a valuable way to access knowledge from dementia care experts. COVID-19 has fostered evolution of the group from in-person to virtual meeting, opening opportunities for more feedback from members to help create the future of the dementia caregiver support group. Experience Framework This article is associated with the Patient, Family & Community Engagement lens of The Beryl Institute Experience Framework (https://www.theberylinstitute.org/ExperienceFramework). Access other PXJ articles related to this lens. Access other resources related to this lens.
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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 | 0.011 | 0.018 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.014 | 0.007 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.002 | 0.011 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.004 | 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".