Balance-Related Outcome Measures of Acquired Brain Injury Patients in a Student-Led Onsite Physical Therapy Clinic: A Retrospective Records Review
Bibliographic record
Abstract
Title: Balance-Related Outcome Measures of Acquired Brain Injury Patients in a Student-Led Onsite Physical Therapy Clinic: A Retrospective Records Review\nAuthors: Parke Humphrey, SPT; Corey Kaleshnik, SPT; Lauren Wilson, SPT; Ann Wilson, PT, MEd, GCS\nAffiliation(s): 1. Physical Therapy Program, University of Puget Sound\nPurpose: Individuals with Acquired Brain Injury (ABI) often have balance impairments. Interventions targeting these impairments may improve balance and thus increase overall societal participation. The purpose of this review was to identify the types of balance-related outcome measures used to assess balance impairments in patients with ABI in a student-led onsite physical therapy clinic.\nSubjects: 13 individuals with an ABI receiving care at a student-run clinic.\nMaterials & Methods: 23 records were selected for this review; however, only 13 of these met inclusion criteria. 12 subjects had a primary diagnosis of CVA and 1 subject had a primary diagnosis of TBI. The average number of balance measures per subject was 2.25 with all subjects having at least one measure taken. The mean age of the subjects was 59.8 years with a range of 35 to 85 years. The mean amount of time since ABI onset to the episode of care was 5.2 years with a range of 8 months to 21 years and a standard deviation of 4.8 years. The mean number of visits for our subjects in each episode of care was 12.4 with a range of 4 to 19 visits and a standard deviation of 4.9. The named balance measures we evaluated were the Berg Balance Scale, Dynamic Gait Index, Timed Up and Go, and the Mini-BESTest. Additionally there were subjects that were evaluated based on general static and dynamic balance.\nResults: The most commonly used recognized outcome measures were the Berg Balance Scale (N=8), Dynamic Gait Index (N=3), Timed up and Go (N=2) and the Mini-BESTest (N=2). In addition 8 records identified that either static or dynamic balance or both were assessed using other methods (N=8). Of the 13 subjects, 9 improved by a score greater than or equal to the MDC or MCID.\nConclusions: Although the majority of student therapists are using validated measures to assess balance, a number are assessing balance in other ways that make it difficult to determine which components of balance are being assessed or how successful the targeted interventions were. Despite this, meaningful change was seen in 69.2% (N=9) of subjects that were evaluated with recognized outcome measures.\nClinical Relevance: Meaningful change can be seen in patients with ABI who may be several years out from their original injury in relatively short episodes of care or with infrequent visits. While general balance measures might be appropriate to help inform a therapist’s decision-making process to work on specific deficits, this review highlights the importance of also including a named outcome measure to detect significant changes across many case studies.\nReferences\n1. What is the Difference Between an Acquired Brain Injury and a Traumatic Brain Injury. Brain Injury Association of America website. http://www.biausa.org/FAQRetrieve.aspx?ID=43913. Updated 2014. Accessed 8 November 2014.\n2. Caeyenberghs K, Leemans A, Geurts M, Taymans T, Vander Linden C, Smits-Engelsman BC, Sunaert S, Swinnen SP. Brain-behavior relationships in young traumatic brain injury patients: fractional anisotropy measures are highly correlated with dynamic visuomotor tracking performance. Neuropsychologia 2010 Apr;48(5):1472-82. Doi: 10.1016/j.neuropsychologia.2010.01.017.\n3. Hoffer ME, Balough BJ, Gottshall KR. Posttraumatic balance disorders. Int Tinnitus J. 2007;13(1):69-72.\n4. Perry SB, Woollard J, Little S, Shroyer K. Relationships among measures of balance, gait, and community integration in people with brain injury. J Head Trauma Rehabil 2014;29(2):117-124. doi:10.1097/HTR.0b013e3182864f2f.\n5. Sartor-Glittenberg C, Brickner L. A multidimensional physical therapy program for individuals with cerebellar ataxia secondary to traumatic brain injury: a case series. Physiother Theory Pract 2014;30(2):138-148. doi:10.3109/09593985.2013.819952.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".