PPA TELE-SAVVY: RESULTS OF AN ONLINE PILOT INTERVENTION WITH CAREGIVERS OF PERSONS WITH PRIMARY PROGRESSIVE APHASIA
Bibliographic record
Abstract
Abstract Primary Progressive Aphasia (PPA) results from a neurodegenerative disease such as frontotemporal lobar degeneration or Alzheimer’s disease and is characterized by a progressive loss of specific language functions eventually progressing to widespread cognitive decline consistent with generalized dementia. Most interventions available to dementia caregivers do not match PPA caregiving families’ needs for tailored psychosocial support. This pilot study is an adaptation of Tele-Savvy, an evidence-based online psychoeducation caregiver program. Goals: (1) address communication and other cognitive and behavioral challenges facing informal caregivers of those living with PPA throughout disease progression, and (2) help caregivers achieve competence in their role. Nine spousal caregivers were recruited to a pilot mixed methods study, which included seven 90-minute weekly videoconference sessions, mindfulness exercises and homework assignments. Participants provided feedback throughout the intervention. Pre-post effects were assessed on PPA knowledge, mood, caregiver burden, perceived stress, competence, quality of life and dyadic relationship. A focus group was held 4 weeks post-intervention. Pre-post results revealed a post-intervention trend toward decreased depression and reported relationship strain. Thematic analysis of recorded videos and transcribed weekly sessions, in addition to an evaluation focus group revealed four themes: a) Increasing knowledge of PPA; b) Learning communication and connection strategies; c) Initiating care planning; d) Integrating intellectual and emotional aspects of PPA caregiving. Participants were provided findings for their feedback. This study demonstrated the feasibility of offering an adaptation of the Tele-Savvy intervention for caregivers of persons with PPA. An informed second pilot study will be held in Spring 2023.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".