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Record W2067393254 · doi:10.1080/02699050600664590

Assessment of family needs following acquired brain injury in Saskatchewan

2006· article· en· W2067393254 on OpenAlexaffabout
Heather Murray, George Maslany, Bonnie Jeffery

Bibliographic record

VenueBrain Injury · 2006
Typearticle
Languageen
FieldMedicine
TopicTraumatic Brain Injury Research
Canadian institutionsUniversity of Regina
Fundersnot available
KeywordsAcquired brain injuryPsychologyTraumatic brain injuryMedicineRehabilitationPsychiatryNeuroscience

Abstract

fetched live from OpenAlex

PRIMARY OBJECTIVE: The objective was to learn what the family members of individuals with acquired brain injury (ABI) perceived as important needs and to what extent these needs are being met. METHODS AND PROCEDURES: Sixty-six individuals who care for someone with an ABI and who receive service from the Saskatchewan South ABI Outreach Team completed the Family Needs Questionnaire (FNQ). MAIN OUTCOMES: An analysis of the importance ratings found that the most important needs were related to health information. Most needs perceived as unmet were related to emotional support. CONCLUSIONS: Caregivers indicated that having honest, accurate comprehensive information regarding the ABI survivor is important. Respondents also indicated that approximately one-half of the needs have gone unmet or only partly met. This study highlights the importance for service providers to assess family needs in order to minimize distress in caregivers, maintenance of the well being of whom is integral in the support of the person with ABI.

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)0.003
metaresearch head score (Gemma)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.762
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.040
GPT teacher head0.365
Teacher spread0.325 · 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

Citations58
Published2006
Admission routes2
Has abstractyes

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