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Evaluating a Post-Concussion Return to School Group Program for Secondary and Post-Secondary Students in Southwestern Ontario, Canada

2017· other· en· W6946472804 on OpenAlexaboutno aff

Bibliographic record

VenueBiblioBoard Library Catalog (Open Research Library) · 2017
Typeother
Languageen
FieldEnvironmental Science
TopicSpecies Distribution and Climate Change
Canadian institutionsnot available
Fundersnot available
KeywordsPopulationAttendanceTest (biology)Intervention (counseling)Data collectionContext (archaeology)

Abstract

fetched live from OpenAlex

Background: Mild traumatic brain injury (mTBI) is a steadily growing public health concern. Young adults with mTBI find themselves having to navigate not only the physical, cognitive, and somatic aspects of their recovery, but also self-advocate for accommodations and services when they return to school. The skills required to be an effective student upon returning post-injury are paramount to continued success in returning to life. However, there is a gap in the literature in terms of evidence-based return to school (RTS) programs for those with mTBI.Objective: The aim of the current study is to examine effectiveness of an outpatient RTS intervention on studentsu2019 executive function and post-concussive symptoms.Methods: In this pre-post-trial, an RTS program was delivered to students attending post-secondary institutions with a diagnosis of a concussion. The group based RTS program consisted of 2 hour sessions delivered over 7 weeks. The program included sessions consistent with the Practice Standard Guidelines for Cognitive-Communication put forward by the College of Audiologists and Speech-Language Pathologists of Ontario. Participants were asked to complete questionnaires related to demographic factors and a formal battery of cognitive-communication assessments. Participants who completed the RTS Program were also sent a survey link, with questions about their injury and school status. Primary outcome measures included: Attention Processing Training (APT), Woodcock-Johnson III Test of Cognitive Abilities (WJ-III), and Rivermead Post-Concussion Symptoms Questionnaire (RPQ) at baseline and post-treatment. Pre and post assessment scores were compared using paired samples t-tests.Results: 38 students participated in the study. According to survey results, the number of students who continued/enrolled in academic studies increased from 24 to 33 after attending the RTS program. Additionally, the number of students using learning supports increased from 17 (post injury-pre RTS program) to 29 (post RTS program). Overall satisfaction with the RTS program was high with 37 out of 38 participants stating they would recommend it to others looking to return to learning. Significant improvements were seen in attention including complex sustained attention (p<.001), selective attention (p<.001) and alternating attention (p=.004) on the APT. Significant improvements were also found on decision speed (p<.001), pair cancellation (p=.027), rapid picture naming (p<.001), and reading fluency (p=.029) from the WJ-III. No significant improvement in the RPQ was reported.Conclusions: Results from the study suggest improvement in the management of skills beyond simply academic performance and into improved cognitive symptoms in general. Future research should examine if improvements in cognitive-communication symptoms result in a significant change in learning strategies, information uptake, and academic achievement. Studies incorporating multidisciplinary management for learners including rehabilitation professionals and academic centers are warranted.

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)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.061
Threshold uncertainty score0.292

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0050.001
Scholarly communication0.0010.000
Open science0.0030.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.001

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 head0.064
GPT teacher head0.367
Teacher spread0.303 · 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 designObservational
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".

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Citations0
Published2017
Admission routes1
Has abstractyes

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