PPA Tele‐Savvy: Piloting an Online Intervention with Care Partners of Persons Living with Primary Progressive Aphasia
Bibliographic record
Abstract
Abstract Background Primary Progressive Aphasia (PPA) brings unique challenges for caregiving families. Most evidence‐based interventions available to dementia caregivers do not match their needs for tailored psychosocial support. Method This pilot study funded by the Emory University Roybal Center is an adaptation of the evidence‐based on‐line psychoeducation program (Tele‐Savvy) to address the unique challenges facing informal caregivers of those living with PPA and to help these caregivers achieve competence in their role. Using focus group data from PPA caregivers previously enrolled in Tele‐Savvy, the program curriculum was adapted to address caring for persons living with PPA. The intervention consists of seven 90‐minute weekly videoconference sessions with weekly homework, coaching and debriefing sessions. Pre/post measures look at the effects of the program on PPA knowledge, mood, caregiver burden, perceived stress, competence, quality of life and couple relationship for 9 spouse caregivers followed by a focus group 2 weeks post‐intervention to obtain additional feedback. Result The 7‐week course was not complete by the time of abstract submission. Results will be available at the time of the conference. Conclusion We aim to demonstrate the feasibility of offering an online PPA caregiver intervention tailored to meet their specific needs. Future research will be conducted based on what is learned from this pilot program.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".