Therapist adaptations for online caregiver emotion-focused family therapy during the COVID-19 pandemic
Bibliographic record
Abstract
The urgency to implement distance-based methods to provide ongoing mental health care during the novel coronavirus (COVID‐19) pandemic represents a critical shift in treatment delivery for children, youth, and families. The COVID-19 pandemic has placed additional strain on the mental health of families and children. As a result, there is an increased need for brief, family-based interventions. Emotion-Focused Family Therapy (EFFT) is an empirically-supported intervention targeting caregivers of children with mental health challenges. The EFFT group therapy modality typically involves thirty caregivers who participate in a two-day intensive workshop, serving as a brief yet efficient intervention with enduring impact. Based on experiences within our clinic, this article provides practical intervention strategies to address common challenges therapists may contend with while providing EFFT intervention to caregivers and families through a secure videoconferencing platform. Additional research in distance-based mental health care for children and their caregivers can assess effectiveness, efficiency and improved access to mental health care throughout 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 | 0.001 | 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) | 0.002 | 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".