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Record W4404453790 · doi:10.35680/2372-0247.1891

Patient, Family, and Health Professional Perspectives of How Families are Involved in Adult Inpatient Traumatic Brain Injury Rehabilitation

2024· article· en· W4404453790 on OpenAlexaff
Kaylee Eady, Katherine Moreau, Shawn Marshall, Mary Egan

Bibliographic record

VenuePatient Experience Journal · 2024
Typearticle
Languageen
FieldMedicine
TopicTraumatic Brain Injury Research
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsRehabilitationTraumatic brain injuryPatient experienceMedicineNursingPsychologyPsychiatryPhysical therapyHealth care

Abstract

fetched live from OpenAlex

Objective: We aimed to answer the following research question: From the perspectives of patients, family members, and health professionals, how are families involved in the rehabilitation of adult patients with Traumatic Brain Injury at an inpatient Acquired Brain Injury service within an adult rehabilitation centre? Methods: We used an interpretive qualitative approach, from a constructivist view. This approach allowed us to understand and describe family involvement from the perspectives of patients with Traumatic Brain Injury, family members, and health professionals. We conducted one-on-one interviews with patients, family members, and health professionals. We used a three-step analysis method: data reduction, data display, and conclusions/verifications. Results: Six patients, four family members, and ten health professionals participated. Participants described how families are involved in supporting and encouraging the patient, seeking and exchanging information, making decisions, and care and therapy. Conclusion: Overall, patients and family members perceived family involvement as critical, while health professionals viewed it as not always necessary. This study also revealed that patients and family members shared similar understandings of family involvement but had different understandings than health professionals. Recognizing that the adult population and rehabilitation processes are unique and complex, we need to understand how to support family involvement, through patient- and family-centered care, in this type of setting. We also need to understand how to better facilitate patient-family-health professional collaboration.

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)0.001
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 score0.140
Threshold uncertainty score0.760

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.060
GPT teacher head0.386
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.

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

Citations2
Published2024
Admission routes1
Has abstractyes

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