Experiences with Virtual Health Care for Children with Chronic Conditions Requiring High Needs for Pediatric Subspecialist Care and their Caregivers
Bibliographic record
Abstract
Purpose: This thesis investigated virtual health care experiences among children with high health care needs and their caregivers. Methods: Using a scoping review, we synthesized studies of virtual care experiences for children with medical complexity. Analyzing cross-sectional survey data from an existing Canadian study, we then examined caregiver-reported experiences with virtual care for children with inherited metabolic diseases (IMDs) during the COVID-19 pandemic. Results: Of 34 studies included in the scoping review, we identified inconsistencies in the conceptualization and measurement of virtual care, and limited attention to experiences specific to sociodemographic subgroups (5 studies). Seventy-one caregivers participated in the survey; they endorsed benefits of virtual care such as a reduced need to travel and challenges such as communication barriers. Conclusions: Findings highlight the need for harmonized, equity-focused frameworks for evaluating virtual care. While virtual care presented benefits, some challenges persisted, suggesting areas for improvement in post-pandemic virtual care for pediatric populations.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".