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Record W4392934863 · doi:10.22605/rrh8281

Rehabilitation models for community integration of adults with acquired brain injury in rural areas: a scoping review

2024· review· en· W4392934863 on OpenAlexaboutno aff
Nikolaisen, Arntzen, Eliassen, Gramstad

Bibliographic record

VenueRural and Remote Health · 2024
Typereview
Languageen
FieldMedicine
TopicTraumatic Brain Injury Research
Canadian institutionsnot available
FundersHelse Nord RHF
KeywordsCINAHLPsycINFORehabilitationMEDLINEAcquired brain injuryThematic analysisMedicineCochrane LibraryCommunity-based rehabilitationSystematic reviewNursingGerontologyPsychologyQualitative researchPsychological interventionPhysical therapyPolitical science

Abstract

fetched live from OpenAlex

INTRODUCTION: Community integration (CI) is recognised as an overarching goal for the rehabilitation of individuals with acquired brain injury (ABI). However, adults with less severe ABI often experience a lack of support when they return home after discharge from hospital or inpatient rehabilitation, despite having persistent impairments and ongoing needs. Individuals living in rural areas are even less likely to receive adequate support during this period, which is often marked by challenges and uncertainty. This review aims to map and explore the research literature to identify existing models for rehabilitation service provision aimed at promoting the CI of home-dwelling adults with ABI living in rural areas. METHODS: A scoping review of the research literature was conducted. The study followed the Joanna Briggs Institute guidelines for scoping reviews and the PRISMA extension for scoping reviews. The databases searched were MEDLINE, Embase, AMED, CINAHL, Web of Science, Cochrane Library, PsycInfo, and Google Scholar. No limitations were set for the study design, time of publication, or country of origin, but only literature in English, Danish, Norwegian, or Swedish was considered for inclusion. RESULTS: Twenty-seven articles were included. All of them originated from four Western and predominantly English-speaking countries: Australia, Canada, the UK, and the US. A thematic analysis identified six model categories that reflect different strategies for providing rehabilitation that promote CI in adults with ABI in rural areas. Sorting the model categories into micro (individual, interpersonal), meso (organisational, community), and macro (policy, society) levels highlighted that most of the included literature concentrates on microlevel issues at the individual or interpersonal level. Microlevel model categories encompass self-management and education, the use of navigators, and the incorporation of everyday life activities into rehabilitation. Far fewer articles addressed mesolevel issues such as service development in rural areas or the development of inclusive rural communities, and only a single article addressed policy development at the macro level. CONCLUSION: The relatively low number of included articles and limited geographical distribution of studies indicate that more research is needed on rehabilitation models aimed at promoting CI in adults with ABI in rural areas. Although we identified several existing approaches to rehabilitation service provision in rural areas, there is still a need to develop models that fully consider the complexity and long-term nature of CI after ABI. The results also demonstrate that CI in rural areas not only is dependent on professional service delivery aimed at the individual with ABI but also can be promoted by supporting significant others, developing inclusive communities, and improving policies. More knowledge on such issues may facilitate a wider reorganisation of care systems to enhance the CI of adults with ABI in rural areas. However, this will require more research with a wider scope than microlevel service delivery.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.552
Threshold uncertainty score0.839

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.001
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 head0.128
GPT teacher head0.460
Teacher spread0.332 · 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 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

Citations4
Published2024
Admission routes1
Has abstractyes

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