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Record W2130230976 · doi:10.1375/brim.8.3.238

Postacute Programming for Community Integration: A Scoping Review

2007· review· en· W2130230976 on OpenAlexaff
Mary Ann McColl

Bibliographic record

VenueBrain Impairment · 2007
Typereview
Languageen
FieldMedicine
TopicTraumatic Brain Injury Research
Canadian institutionsQueen's University
Fundersnot available
KeywordsCommunity integrationRehabilitationAcquired brain injuryCommunity-based rehabilitationIntervention (counseling)Set (abstract data type)Adaptation (eye)PsychologyMedical educationApplied psychologyKnowledge managementPublic relationsComputer sciencePolitical scienceMedicinePsychiatryPhysical therapy

Abstract

fetched live from OpenAlex

Abstract There has been a dramatic increase in recent years in the literature available on community integration among people with acquired brain injuries. At the same time, however, clinicians are calling for information that has utility in the complex environment of community practice. The study was a scoping review to address the question: What is known from the existing literature regarding the best ways to promote community integration in the postacute phase of brain injury recovery? From a preliminary pool of 925 studies identified by electronic searching of 5 databases in a 15-year time window, a final set of 30 was selected for further review, referring to 25 distinct programs. This scoping review has shown that there are 5 types of programs typically offered to survivors of brain injuries to assist with community integration: supported employment, traditional rehabilitation, environmental adaptation, support development and transitional living. These 5 approaches were primarily used to address 2 aspects of community integration: traditional rehabilitation was most commonly used to promote independent living, and supported employment was the most common approach used to promote productive occupation. Themes that emerged from the review were the need for highly individualised programming, in vivo approaches, tailored supports, early intervention and a focus on participation. Methodologically, the study represents an important acknowledgment of the valuable information that is available in the literature in descriptive and small sample research.

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)0.007
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.601
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.002
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 head0.350
GPT teacher head0.533
Teacher spread0.183 · 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 designSystematic review
Domainnot available
GenreReview

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

Citations11
Published2007
Admission routes1
Has abstractyes

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