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Record W2022713258 · doi:10.1080/17518420701780115

A comparison of challenges faced by parents of children with ABI with and without access to third party funding

2008· article· en· W2022713258 on OpenAlexaffabout
Tania Vilela, Marjory Phillips, Patricia Minnes

Bibliographic record

VenueDevelopmental Neurorehabilitation · 2008
Typearticle
Languageen
FieldPsychology
TopicFamily and Disability Support Research
Canadian institutionsQueen's UniversityUniversity of Toronto
Fundersnot available
KeywordsThird partyRehabilitationPsychological distressDistressPsychologyService (business)BusinessDepressive symptomsMental healthNursingMedicineClinical psychologyPsychiatryMarketingAnxiety

Abstract

fetched live from OpenAlex

BACKGROUND: In Canada, allocation of rehabilitation services is often based on the assumption that families who have third party insurance funding are well served by the private sector system and are not in need of publicly funded rehabilitation services. However, there has been little research comparing the experiences of caregivers with and without access to third party insurance funding; data that could inform service planning and provision. METHOD: The current study compared the stresses, resources and psychological health of caregivers of children with Acquired Brain Injury (ABI) with and without third party funding. RESULTS: Caregivers with third party funding (MVA) reported a similar level of stress in comparison to caregivers without funding (non-MVA); however there were differences in what these families perceived as stressful. CONCLUSIONS: Although results indicated significant psychological distress and depressive symptoms for both groups, parents in both groups reported high availability of and satisfaction with services, although they used very few services. Implications for clinical services are discussed.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.012
Threshold uncertainty score0.563

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.121
GPT teacher head0.397
Teacher spread0.276 · 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

Citations4
Published2008
Admission routes2
Has abstractyes

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