Bibliographic record
Abstract
The aim of this pilot study was to examine the feasibility and benefits of a computer Internet-based videoconferencing healthcare support program for community-dwelling older adults with chronic disease. Eighteen participants (n = 18) who met inclusion criteria were recruited from a community health clinic, provided informed signed consent, and were assigned in groups of six to an Internetbased support group program. Where needed, participants were supplied equipment (computers, Web cams, audio headsets) and trained to access an easy-to-use, password-protected Web site that uses videoconferencing to support group member-facilitator interactive communication. The aim of the intervention was to support group member bonding and sharing of challenges and strategies for managing a chronic disease. Following 10 weekly professionally facilitated sessions, the groups met weekly in a self-help mode for an additional 3 months. Participants were interviewed at 6-month follow-up. An interview guide was used to gain feedback on using the Internet to access a health service and to ask about the benefits of having participated in the videoconferencing support group program. At follow-up, participants responded positively to using technology to communicate with healthcare professionals and other group members. They also valued the information shared regarding self-care, and reported reduction in feelings of loneliness and isolation. Our Internet-based, videoconferencing intervention program can be viewed as a prototype for designing technology platforms for the delivery of professional healthcare services to home-based older adults with chronic disease.
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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.015 | 0.001 |
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".