Healthcare providers' perceptions of virtual‐care with children's mental health in a pandemic: A hospital and community perspective
Bibliographic record
Abstract
AIM: The purpose of the present study was to explore the experiences of a diverse group of mental health clinicians both in hospital and in the community, who were required to rapidly adopt virtual-care practices in the delivery of mental health services to children, adolescents, and their families. METHODS: Mental health clinicians (N = 117) completed the Clinician Virtual-Care Experience Survey assessing the following domains: ease of technology use, client/patient-provider interaction quality, and clinician wellbeing. RESULTS: Although over 70% of clinicians had not used virtual-care to deliver mental health services prior to the Coronavirus Disease 2019 pandemic, more than 80% felt it was easy to operate the virtual platforms. Clinicians were divided in their perceptions of the effectiveness of virtual-care, with only 42% reporting that they felt they were as effective in delivering healthcare services virtually as compared to in-person. Virtual-care was described as being more effective for specific populations, while challenges were described in building rapport and when delivering difficult or unexpected feedback. CONCLUSIONS: Clinicians felt there were some benefits of adopting virtual-care practices, while challenges were also identified. Understanding of the impact of virtual-care on service providers is essential in order to strengthen mental healthcare for children, adolescents, and their families even beyond the pandemic.
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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 | 0.000 | 0.000 |
| 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".