Videoconferencing in mental health services for children and adolescents receiving child welfare services: a scoping review
Bibliographic record
Abstract
BACKGROUND: Videoconferencing is considered an alternative to face-to-face consultations and a possibility to help overcome access-to-care barriers in mental health care services. Barriers to child and adolescent mental health services are particularly apparent in the case of children and adolescents receiving child welfare services. This scoping review aims to provide an overview of research on videoconferencing in the mental health treatment of children and adolescents receiving support from child welfare services. METHODS: This scoping review follows the review framework outlined by the Joanna Briggs Institute. The following databases were searched from January 2012 to April 2024: Scopus, Web of Science, PubMed, PsycINFO (Ovid), CINAHL Plus, Social Services Abstracts (ProQuest), Sociological Abstracts (ProQuest), and Google Scholar. RESULTS: The search yielded 4322 unique records and resulted in the inclusion of 22 articles that met the inclusion criteria. The studies originated from Denmark, England, Australia, Norway, Canada, Chile, and the USA, and were grouped into four areas: (1) videoconferencing to increase access to mental health treatment for vulnerable groups (2) young people's perspectives (3) videoconferencing in interdisciplinary collaborative meetings, and (4) use, awareness, and acceptance of videoconferencing among health and social care providers. CONCLUSIONS: This scoping review shows that if videoconferencing in mental health care is to become an established and trusted method aimed at children and adolescents receiving child welfare services, several unresolved and potentially negative issues need attention and more research. This particularly applies to whether videoconferencing decreases or exacerbates inequalities in access to mental health services. A further question is whether new barriers are raised by screen-based treatment to threaten good therapeutic relationships, and by extension treatment quality and clinical outcomes.
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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 | 0.010 | 0.049 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.004 |
| Bibliometrics | 0.011 | 0.015 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.003 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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 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".