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Record W4408143909 · doi:10.1177/25161032251324861

From health assessment to service use: Do children in out-of-home care receive recommended services?

2025· article· en· W4408143909 on OpenAlexaff
Monica Haune, Alexander Nissen, Suraj Bahadur Thapa, Trine Myrvold, Øivin Christiansen, Einar Heiervang

Bibliographic record

VenueDevelopmental Child Welfare · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicChild Welfare and Adoption
Canadian institutionsOntario Centre of Excellence for Child and Youth Mental HealthCentre for Addiction and Mental Health
FundersNorges Forskningsråd
KeywordsService (business)Health servicesNursingBusinessMedicineMedical emergencyEnvironmental healthMarketing

Abstract

fetched live from OpenAlex

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.111
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.014
GPT teacher head0.313
Teacher spread0.299 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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