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Record W4415544227 · doi:10.2196/76799

Feasibility of Physical Therapy Evaluation Symptom Provocation Tests in Older Adults With Mild Traumatic Brain Injury: Mixed Methods Study

2025· article· en· W4415544227 on OpenAlexvenueno aff
Carrie A. Barrett, Mark G. Goetting, Alessander Danna‐dos‐Santos

Bibliographic record

VenueJMIR Formative Research · 2025
Typearticle
Languageen
FieldMedicine
TopicTraumatic Brain Injury Research
Canadian institutionsnot available
Fundersnot available
KeywordsProtocol (science)Perspective (graphical)Provocation testClinical trialData collectionFear of fallingOutcome (game theory)Rehabilitation

Abstract

fetched live from OpenAlex

Background: Early standard assessment protocols have decreased costs and better identified treatment strategies in individuals with mild traumatic brain injury (mTBI). Clinical practice guidelines contained strong recommendations for the use of provocation tests in evaluating younger adults (<65 y of age). Currently, the recommended protocols and literature regarding tolerance to self-reported and physical exertion outcome testing in older adults (>65 y of age) with mTBI have been limited. To start bridging some of these shortcomings and aid the development of practice guidelines for older adults, this study explored the feasibility of physical therapy evaluation protocols for individuals aged >65 years. Objective: The study aimed to (1) assess the feasibility and tolerance of using evidence-based physical therapy evaluation outcome tests, and (2) apply the International Classification of Health, Disability, and Function (ICF) domains to an emergent thematic analysis of research protocols involving older adults with and without mTBI. Methods: The feasibility study was a mixed methods design that included 13 community participants (>65 y) with and without mTBI. Investigators documented completion of the health form, participant-reported outcomes including the Patient-Specific Function Scale (PSFS) and Post Concussion Symptom Scale, and physical performance measures using the Motion Sensitivity Quotient (MSQ) and a submaximal recumbent stepper test, modified from the Buffalo Concussion Bike Test. Emergent contextual themes were identified within the study protocol, testing space, and participant responses. Results: The sample included 13 participants (aged 65-91 y; 7 females, 6 males), 4 with mTBI and 9 without mTBI. All completed the health form, PSFS, and Post Concussion Symptom Scale, with moderate verbal cues required in 15% (PSFS) of the cases. The Motion Sensitivity Quotient and Buffalo Concussion Bike Test-Modified were completed to the participants' maximum safe effort. No participants experienced adverse mTBI symptoms. The categories for the theme of study protocol were time, communication, and logistics coordination. The categories for the theme of study environment were assessment, documentation, and safety. Unanticipated positive emotions were evoked with comments such as feedback, including participation was "fun" and "I didn't know I could do all this." Conclusions: Older adults were able to tolerate the collection of participant-reported and physical outcome measures that allowed for individual maximal safe efforts without mTBI symptom provocation. The contextual themes using the ICF model of study protocol and environment were categorized and coded for future research consideration. Positive emotion participant responses were captured at the end of data collection. Clinical Relevance: This study applied standard physical therapy assessment protocols, which were safely tolerated by older adults with mTBI. The study used ICF domains from a research procedure perspective for protocol and environment considerations. The findings included participants' positive emoted responses, which may inform future large-sample trials in the evaluation of older adults with mTBI.

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)0.088
metaresearch head score (Gemma)0.095
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.088
Threshold uncertainty score0.465

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0880.095
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.005
Bibliometrics0.0030.002
Science and technology studies0.0020.001
Scholarly communication0.0030.003
Open science0.0020.003
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.210
GPT teacher head0.577
Teacher spread0.367 · 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".

Quick stats

Citations1
Published2025
Admission routes1
Has abstractyes

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