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Record W4322719276 · doi:10.1080/02699052.2023.2184869

Ableism among children and youth with acquired brain injury and their caregivers: a systematic review

2023· review· en· W4322719276 on OpenAlexaff
Sally Lindsay, Stuti Patel, Sharmigaa Ragunathan, Kristina Fuentes

Bibliographic record

VenueBrain Injury · 2023
Typereview
Languageen
FieldMedicine
TopicTraumatic Brain Injury Research
Canadian institutionsHolland Bloorview Kids Rehabilitation HospitalToronto Rehabilitation InstituteUniversity of Toronto
Fundersnot available
KeywordsAbleismQuality of life (healthcare)MedicineInclusion (mineral)PsychologyGerontologySocial psychologySociologyNursing

Abstract

fetched live from OpenAlex

PURPOSE: Children and youth with acquired brain injury (ABI) experience persistent discrimination and ableism. The purpose of this systematic review was to understand the experiences and impact of ableism among children and youth with ABI. METHOD: Six international databases were systematically searched for articles from 2002-2022. Studies were screened independently by four researchers who performed the data extraction. Study quality was appraised using the Standard quality assessment criteria for evaluating primary research. RESULTS: Of the 2085 studies identified in the search, 15 met the inclusion criteria, which involved 1442 children and youth with brain injuries or caregivers representing them. Studies in the review showed the following key trends: (1) incidence of ableism among children and youth with ABI; (2) experiences of ableism at the individual and institutional levels, (3) impact of ableism (i.e., mental health, social relationships, quality of life) and (4) coping strategies (i.e., resources, supports). CONCLUSIONS: Our findings reveal the alarming incidence of ableism among youth with ABI. Therefore, there is a critical need for more research to explore youth's lived experiences of ableism, especially from their perspectives along with the co-development of solutions to help enhance their social inclusion and well-being.

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)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesMeta-epidemiology (narrow)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.072
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0070.001
Bibliometrics0.0010.002
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0010.001
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 head0.071
GPT teacher head0.349
Teacher spread0.278 · 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; both teacher heads agree on what is shown here.

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

Citations17
Published2023
Admission routes1
Has abstractyes

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