From health assessment to service use: Do children in out-of-home care receive recommended services?
Bibliographic record
Abstract
As a response to the substantial health problems and unmet needs among children in out-of-home care, a comprehensive health assessment was piloted in a Norwegian region, as the first of its kind in Norway. The current study is a follow-up of service use among children who received the assessment, designed to investigate the relationship between service recommendations and service contact with six services within the following year. Participants included children (ages 1–17 years) living in out-of-home care, who had received the health assessment ( N = 103, M age = 7.5 years). Baseline data on service recommendations were extracted from assessment reports, while data on service contact was collected through a survey to carers 12 months after the assessment. Bivariate analyses and logistic regression models tested associations between service recommendations and service contact. Results show that for low-threshold services within municipal primary health care, recommendations were associated with service contact (OR 5.0, [1.65–15.19] p = .001). For specialized mental and somatic health care and educational services, no associations between service recommendation and service contact were found. Around 40% of the children had been in contact with recommended specialized mental or physical healthcare services, and educational services at follow-up. The findings illustrate the failure of the existing service systems in meeting the severe health challenges of this high-risk child population. This has implications for assessment practices, child welfare services referral routines and interagency collaboration, and may indicate a need for specialized organizational solutions to provide necessary services to children in out-of-home care.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.003 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".