Advancing Family-Centred Care in Child and Adolescent Mental Health: A Critical Review of the Literature
Bibliographic record
Abstract
Family-centred care (FCC) is a key factor in increasing health and related system responsiveness to the needs of children and families; unfortunately, it is an unfamiliar service model in children's mental health. This critical review of the literature addresses three key questions: What are the concepts, characteristics and principles of FCC in the context of delivering mental health services to children? What are the enablers, barriers and demonstrated benefits to using a family-centred approach to care in children's mental health? And how can we facilitate moving an FCC model forward in children's mental health? A range of databases was searched for the years 2000–2011, for children ages zero to 18 years. Articles were selected for inclusion if a family-centred approach to care was articulated and the context was the intervention and treatment side of the mental healthcare system. This literature review uncovered a multiplicity of terms and concepts, all closely related to FCC. Two of the most frequently used terms in children's mental health are family centred and family focused, which have important differences, particularly in regard to how the family is viewed. Initial benefits to FCC include improved child and family management skills and function, an increased stability of living situation, improved cost-effectiveness, increased consumer and family satisfaction and improved child and family health and well-being. Significant challenges exist in evaluating FCC because of varying interpretations of its core concepts and applications. Nonetheless, a shared understanding of FCC in a children's mental health context seems possible, and examples can be found of best practices, enablers and strategies, including opportunities for innovative policy change to overcome barriers.
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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 | 0.011 | 0.034 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.015 | 0.016 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.004 | 0.006 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.003 | 0.003 |
| 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 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".