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Family‐centred service coordination in childhood health and disability services: the search for meaningful service outcome measures

2008· article· en· W2044799121 on OpenAlexafffundabout
Barry Trute, Diane Hiebert‐Murphy, Alexandra Wright

Bibliographic record

VenueChild Care Health and Development · 2008
Typearticle
Languageen
FieldPsychology
TopicFamily and Disability Support Research
Canadian institutionsUniversity of ManitobaUniversity of Calgary
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsPsychosocialService (business)PsychologyOutcome (game theory)Service delivery frameworkClinical psychologyMedicinePsychiatryBusinessMarketing

Abstract

fetched live from OpenAlex

BACKGROUND: Potential service outcome measures were tested for their utility in the assessment of the quality of 'family centred' service coordination in the provincial network of children's disability services in Manitoba, Canada. METHODS: This study is based on in-home survey data provided by 103 mothers at 6 and 18 months following assignment of a 'dedicated' service coordinator. Service outcome indicators included measures of parent self-esteem, parenting stress, family functioning and the need for family support resources. RESULTS: Hierarchical regression analyses showed no relationship between level of quality of family-centred service coordination and standardized psychosocial measures of parent and family functioning. However, family centredness of service coordination was found to predict significant reduction in level of family need for psychosocial support resources after 18 months of contact with a service coordinator. CONCLUSIONS: Outcome measures that are focused on specific and tangible results of service coordination appear to be of higher utility in service quality assessment than are more global, standardized measures of parent and family functioning.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.128
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.110
GPT teacher head0.365
Teacher spread0.255 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations27
Published2008
Admission routes3
Has abstractyes

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