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Record W2574896433 · doi:10.3138/ptc.2015-81ep

Return to Meaningful Activities After a Multi-Modal Rehabilitation Programme among Individuals Who Experience Persistent Dizziness and Debility Longer Than 9 Months after Sustaining a Concussion: A Case Series

2017· article· en· W2574896433 on OpenAlexvenueno aff
Joseph T. Adams, Brian Moore

Bibliographic record

VenuePhysiotherapy Canada · 2017
Typearticle
Languageen
FieldMedicine
TopicTraumatic Brain Injury Research
Canadian institutionsnot available
Fundersnot available
KeywordsDebilityConcussionRehabilitationPhysical medicine and rehabilitationSeries (stratigraphy)Physical therapyMedicineModalPsychologyInjury preventionPoison controlMedical emergency

Abstract

fetched live from OpenAlex

Purpose: The authors explored changes in outcome measures and return to meaningful life activities in six individuals who participated in a home-based multi-modal rehabilitation programme to address persistent dizziness and debility that had continued for more than 9 months since a documented concussion. Methods: In a case series using a repeated-measures design, changes from pre- to post-treatment assessments were assessed after a 6-month intervention. The outcome measures used were the Rivermead Post-Concussion Symptoms Questionnaire's subsidiary scales (RPQ-3, RPQ-13), Dizziness Handicap Inventory (DHI), Activities-specific Balance Confidence Scale, Functional Gait Assessment, return to work or study, and return to activity. Results: Six months after the multi-modal rehabilitation programme, statistically significant differences were found on the RPQ-3 (p=0.026), RPQ-13 (p=0.037), and DHI (p=0.033). In addition, four participants had returned to their previous work, and all six participants had been able to return to physical activity. Conclusion: A supervised home programme, provided in the context of a multi-modal rehabilitation programme, has the potential to improve outcomes even when rehabilitative services are delayed and persistent concussion-related symptoms continue for a significant amount of time after the onset of a concussion.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.337
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
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 head0.028
GPT teacher head0.333
Teacher spread0.305 · 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 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".

Quick stats

Citations16
Published2017
Admission routes1
Has abstractyes

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