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Record W2590985878 · doi:10.20381/ruor-20121

Understanding Family Involvement in Adult Inpatient Traumatic Brain Injury Rehabilitation

2017· dissertation· en· W2590985878 on OpenAlexaboutno aff
Kaylee Eady

Bibliographic record

VenueuO Research (University of Ottawa) · 2017
Typedissertation
Languageen
FieldHealth Professions
TopicFamily and Patient Care in Intensive Care Units
Canadian institutionsnot available
Fundersnot available
KeywordsTraumatic brain injuryRehabilitationPhysical medicine and rehabilitationPsychologyMedicineAcquired brain injuryPhysical therapyClinical psychologyPsychiatry

Abstract

fetched live from OpenAlex

Traumatic brain injury is a substantial cause of disability worldwide; recovery is a long-term, intensive process. Patients with traumatic brain injury are admitted to inpatient rehabilitation with the goal of preventing disability and the need for long-term care as well as promoting patient independence. Acknowledging that traumatic brain injury also affects the family, much of the literature focuses on the well-being of families and their needs, bringing attention to family functioning, resilience, and psychosocial well-being. Recognizing the important role of families in health care, Canadian healthcare institutions espouse family-centred philosophy. Not to mention, the resulting impairments from traumatic brain injury and the complex nature of inpatient rehabilitation can also lead to the involvement of families in this process. However, we do not yet fully understand how families are involved in adult inpatient traumatic brain injury rehabilitation. Given the adoption of a family-centred philosophy as well as the potential benefits of family-centred care for patient and family outcomes, it is important to understand this involvement to guide the provision of family-centred health and rehabilitation services. This study is the first step in a program of research that is devoted to understanding family involvement in adult inpatient traumatic brain injury rehabilitation. I used an interpretive qualitative approach with a two-phased sequential design to elucidate how families were involved in the inpatient rehabilitation process. I conducted one-on-one semi-structured interviews with six patients with TBI, four family members, and 10 healthcare professionals followed by observations on the inpatient Acquired Brain Injury ward at a Canadian adult rehabilitation centre. In Phase 1 interviews, both the patients and family members described family involvement as family members being with and supporting the patients, informing other family members as well as the healthcare professionals and keeping themselves informed, helping the patients to make decisions, and participating in care and therapy. The healthcare professionals similarly described family members being with and supporting the patients; however, they conversely illustrated family members’ involvement as providing information to and receiving information from the healthcare professionals as well as making decisions when required or deemed necessary by them, and learning care and therapy. While the observation findings supported the patients’, family members’, and healthcare professionals’ perceptions that family members support the patients by being present and spending time with them, they highlighted the healthcare professional-led nature of the rehabilitation process in the inpatient setting in relation to information sharing, decision making, and care and therapy. They also illuminated the potential impact of the ward environment on family involvement. This study was the first to explore family involvement with this adult patient population in the inpatient rehabilitation setting from the perspectives of patients, family members, and healthcare professionals as well as through direct observation. It revealed that patients and family members had different understandings than healthcare professionals of the ways in which families were involved. Given the adoption of a family-centred philosophy, we need to understand how to operationalize it in this type of adult setting and close the gap between theory and practice.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.007
metaresearch head score (Gemma)0.012
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.179
Threshold uncertainty score0.355

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.012
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0150.010
Scholarly communication0.0040.004
Open science0.0020.005
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.366
GPT teacher head0.458
Teacher spread0.092 · 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 source (direct Gemma or distilled Codex), 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

Citations0
Published2017
Admission routes1
Has abstractyes

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