Caregiver and Clinician Experience With Virtual Services for Children and Youth With Complex Needs During COVID-19
Bibliographic record
Abstract
INTRODUCTION: During the COVID-19 pandemic, support services for children and youth quickly shifted to virtual means. To continue delivering essential, trauma-informed, specialized services, the center transitioned to providing most services by phone/video conference. METHOD: A quality improvement project using survey methods was conducted to determine if virtual delivery was timely and satisfactory for inpatient and outpatient care. RESULTS: Findings indicated services were timely. Caregivers appreciated the support, felt a personal connection with staff, and confirmed services met their goals and expectations. However, challenges faced by staff included engaging the child/youth by phone/video, loss of collaboration with colleagues, and concerns about fulfilling their role through virtual means. DISCUSSION: Understanding stakeholder experiences illuminated the path of quality improvement during this major shift in service delivery. Benefits were shown for a blended model of in-person and virtual services on the basis of clinical judgment and the unique needs of clients and families in considering future service model options.
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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 | 0.003 | 0.016 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 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".