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Record W2016239322 · doi:10.3109/17549507.2011.549240

Experiences of care: Perspectives of carers of adults with traumatic brain injury

2011· article· en· W2016239322 on OpenAlexaboutno aff
Anna O’Callaghan, Lindy McAllister, Linda Wilson

Bibliographic record

VenueInternational Journal of Speech-Language Pathology · 2011
Typearticle
Languageen
FieldHealth Professions
TopicGeriatric Care and Nursing Homes
Canadian institutionsnot available
Fundersnot available
KeywordsRehabilitationQuarter (Canadian coin)MedicineNursingFamily memberService (business)Health careFamily medicinePhysical therapy

Abstract

fetched live from OpenAlex

This paper describes the results of a survey that explored the experiences of carers when accessing rehabilitative services alongside their family member with a moderate-severe TBI. The 184 carers who completed these surveys reflected retrospectively on the care they received. The results of this study indicated that 61% of the carer respondents recollected accessing inpatient rehabilitation following their acute care. However, following inpatient discharge only 33% of carers reported receiving ongoing services. One quarter of carers stated they received inadequate information while transitioning through their healthcare journey and fewer than 20% of carers recollected receiving any formal support service. The results of this study showed that as carers transitioned through the healthcare journey with their family member with TBI, health services progressively declined. As this occurred, carers' satisfaction with services reduced, while their responsibilities for caring increased. This trend is concerning given the needs of carers have been shown to change over time and increase if not addressed. This paper describes both carer experience following TBI in Australia and encourages clinicians to advocate for carers needs when planning and providing rehabilitation services.

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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.017
Threshold uncertainty score0.614

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)0.0010.000

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 head0.024
GPT teacher head0.377
Teacher spread0.353 · 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 designQualitative
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

Citations35
Published2011
Admission routes1
Has abstractyes

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