“Another Tool in Your Toolkit”: Pediatric Occupational and Physical Therapists’ Perspectives of Initiating Telehealth during the COVID-19 Pandemic
Bibliographic record
Abstract
AIMS: Pediatric occupational and physical therapy service delivery via telehealth increased during the COVID-19 pandemic. Real-world experience can guide service improvement. This study explored experiences, barriers, and facilitators of initial telehealth implementation from the therapist's perspective. METHODS: Qualitative descriptive approach. Semi-structured interviews were conducted with occupational therapists (n = 4) and physical therapists (n = 4) between May-June 2020. Interviews were recorded, and transcribed verbatim. Data were coded inductively to generate themes, then re-coded deductively to classify barriers and facilitators to telehealth acceptance and use using the Unified Technology Acceptance Theory. RESULTS: Participants had 16.5 [(2-35); median (range)] years of experience (3 months with telehealth) and predominantly worked with preschool children. Three themes about telehealth were identified: a practical option; requires skill development and refinement; beneficial in perpetuity. Most frequently cited barriers were the lack of opportunity for 'hands-on' assessment/intervention and the learning curve required. Most frequently cited facilitators included seeing a child in their own environment, attendance may be easier for some families, and families' perception that telehealth was useful. CONCLUSION: Despite rapid implementation, therapists largely described telehealth as a positive experience. Telehealth facilitated continued service provision and was perceived as relevant post-pandemic. Additional training and ensuring equitable access to services are priorities as telehealth delivery evolves.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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".