A Prioritized Patient-Centered Research Agenda to Reduce Disparities in Telehealth Uptake: Results from a National Consensus Conference
Bibliographic record
Abstract
Introduction: We hosted a national consensus conference with a diverse group of stakeholders to develop a patient-centered research agenda focused on reducing disparities in telehealth use. Methods: = 8). Results: = 8). The top question identified by both groups focused on patient and family perspectives on important barriers to telehealth use. The entire group voting identified telehealth's impact on patient outcomes as the next most important questions, while the patient-only group identified trust-related considerations and cultural factors impacting telehealth use as next priorities. Conclusions: This project involved extensive patient and stakeholder engagement. While voting varied between patients only and the entire group of conference attendees, top identified priorities included patient and family perspectives on important barriers to telehealth, trust and cultural barriers and facilitators to telehealth, and assessment of telehealth's impact on patient outcomes. This research agenda can inform design of future research focused on addressing disparities in telehealth use.
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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 | 0.402 | 0.245 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.003 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.009 | 0.003 |
| Scholarly communication | 0.011 | 0.008 |
| Open science | 0.006 | 0.019 |
| Research integrity | 0.013 | 0.013 |
| Insufficient payload (model declined to judge) | 0.007 | 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".