Telemedicine delivery of patient education in remote Ontario communities: feasibility of an Advanced Clinician Practitioner in Arthritis Care (ACPAC)-led inflammatory arthritis education program
Bibliographic record
Abstract
OBJECTIVE: Telemedicine-based approaches to health care service delivery improve access to care. It was recognized that adults with inflammatory arthritis (IA) living in remote areas had limited access to patient education and could benefit from the 1-day Prescription for Education (RxEd) program. The program was delivered by extended role practitioners with advanced training in arthritis care. Normally offered at one urban center, RxEd was adapted for videoconference delivery through two educator development workshops that addressed telemedicine and adult education best practices. This study explores the feasibility of and participant satisfaction with telemedicine delivery of the RxEd program in remote communities. MATERIALS AND METHODS: Participants included adults with IA attending the RxEd program at one of six rural sites. They completed post-course program evaluations and follow-up interviews. Educators provided post-course feedback to identify program improvements that were later implemented. RESULTS: In total, 123 people (36 in-person and 87 remote, across 6 sites) participated, attending one of three RxEd sessions. Remote participants were satisfied with the quality of the video-conference (% agree/strongly agree): could hear the presenter (92.9%) and discussion between sites (82.4%); could see who was speaking at other remote sites (85.7%); could see the slides (95.3%); and interaction between sites adequately facilitated (94.0%). Educator and participant feedback were consistent. Suggested improvements included: use of two screens (speaker and slides); frontal camera angles; equal interaction with remote sites; and slide modifications to improve the readability on screen. Interview data included similar constructive feedback but highlighted the educational and social benefits of the program, which participants noted would have been inaccessible if not offered via telemedicine. CONCLUSION: Study findings confirm the feasibility of delivering the RxEd program to remote communities by using telemedicine. Future research with a focus on the sustainability of this and other models of technology-supported patient education for adults with IA across Ontario is warranted.
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 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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".