Factors Influencing Speech-Language Pathology Referral and Utilization in Mild Traumatic Brain Injury: An Exploratory Analysis
Bibliographic record
Abstract
PURPOSE: Speech-language pathologists provide important services to people recovering from mild traumatic brain injury (mTBI), also called concussion, although they may be underutilized in outpatient care. Because health care providers face challenges in selecting assessments to efficiently describe patient needs, the purpose of this study was to describe factors related to patients receiving speech-language pathology services after mTBI, as well as how assessments predict amount of services received. METHOD: In this retrospective chart review study, demographic factors, injury characteristics, and assessment scores were extracted from medical records of patients aged 14-65 years receiving services for recent (within 6 months) mTBI at an outpatient specialty clinic. The Post-Concussion Symptom Scale (PCSS), Montreal Cognitive Assessment, Standardized Assessment of Concussion, and a newly developed self-report measure of cognitive-communication function-the Cognitive-Communication Referral Indicator for Concussion (CCoRI-C)-were used as dependent variables to predict speech-language pathology service referral. For those referred, Repeatable Battery for the Assessment of Neuropsychological Status (RBANS) and Behavior Rating Inventory of Executive Function (BRIEF) scores were added as dependent variables predicting speech-language pathology dosage. RESULTS: A total of 132 patient charts met inclusion and exclusion criteria. In addition to CCoRI-C and PCSS symptoms, receiving imaging, being injured in a motor vehicle crash, experiencing loss of consciousness, and being of female sex were related to speech-language pathology referrals. Of the 77 patients referred for speech-language pathology care, higher CCoRI-C, PCSS, BRIEF, RBANS total, and RBANS visuospatial scores were associated with recommended speech-language pathology dosage. Only the CCoRI-C, BRIEF-Adult Version (BRIEF-A) Behavioral Regulation, and BRIEF-A Metacognition were associated with actual number of speech-language pathology sessions attended. CONCLUSIONS: Cognitive-communication symptoms and executive function may be important to planning speech-language pathology rehabilitative episodes of care for people with mTBI. Future work should continue to evaluate how assessments augment demographic and injury characteristics in decision making for both referral to and use of speech-language pathology services after mTBI.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".