Literature DB >> 34129221

Optimizing Order of Administration for Concussion Baseline Assessment Among NCAA Student-Athletes and Military Cadets.

Landon B Lempke1,2,3, Robert C Lynall4, Melissa N Anderson4, Michael A McCrea5, Thomas W McAllister6, Steven P Broglio7, Julianne D Schmidt4.   

Abstract

BACKGROUND: Concussion pre-injury (i.e., baseline) assessments serve as a benchmark comparison point in the event an individual sustains a concussion and allows clinicians to compare to post-injury measures. However, baseline assessments must reflect the individual's true and most optimized performance to serve as a useful comparison. Mental fatigue and motivation throughout baseline testing may alter individual assessment performance, indicating an order of administration (OoA) may play an influential role in assessment outcomes.
OBJECTIVE: To examine the influence concussion baseline battery OoA has on symptom, postural stability, cognitive screening, and computerized neurocognitive test outcomes.
METHODS: We employed a retrospective observational cohort study to examine healthy collegiate student-athletes and military cadets (n = 2898, 19.0 ± 1.4 years, 66.1% male, 75.6% white, 54.4% Division-I) baseline assessment performance on the Sport Concussion Assessment Tool (SCAT; total symptom number and severity), Balance Error Scoring System (BESS; total error scores), Standardized Assessment of Concussion (SAC; total score), and Immediate Post-Concussion Assessment and Cognitive Testing (ImPACT) domain scores (verbal and visual memory, visual-motor speed, reaction time). Assessments were binned to beginning, middle, or end tertiles based upon OoA. We used one-way ANOVAs with Tukey post-hoc t tests, 95% confidence intervals (CI), and Cohen's d effect sizes for significant models (α = 0.05).
RESULTS: SCAT total symptom number (mean difference = 2.23; 95% CI 1.76-2.70; d = 0.49, p < 0.001) and severity (mean difference = 5.58; 95% CI 4.42-6.74; d = 0.50; p < 0.001) were lower when completed at the end of baseline testing compared to the middle. Total BESS errors were 1.06 lower when completed at the middle relative to the end (95% CI 0.43-1.69; d = 0.17; p = 0.001). Total SAC scores were better at the beginning relative to middle (mean difference = 0.58; 95% CI 0.25-0.90; d = 0.33; p < 0.001) and end (mean difference = 0.44; 95% CI 0.16-0.73; d = 0.24; p = 0.001). Verbal memory, visual memory, and reaction time performance were highest at the beginning (p ≤ 0.002), while visual-motor speed performance was highest at the middle (p = 0.001).
CONCLUSION: Completing baseline assessments in the order of (1) ImPACT, (2) SAC, (3) BESS, and (4) SCAT symptom checklist may improve performance across assessments collectively. Clinicians and researchers should consider completing baseline assessments in this order when possible to potentially aid in optimizing concussion baseline assessment performance and maximize post-concussion comparisons.
© 2021. The Author(s), under exclusive licence to Springer Nature Switzerland AG.

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Year:  2021        PMID: 34129221     DOI: 10.1007/s40279-021-01493-y

Source DB:  PubMed          Journal:  Sports Med        ISSN: 0112-1642            Impact factor:   11.136


  36 in total

1.  Epidemiology of concussion in collegiate and high school football players.

Authors:  K M Guskiewicz; N L Weaver; D A Padua; W E Garrett
Journal:  Am J Sports Med       Date:  2000 Sep-Oct       Impact factor: 6.202

2.  Investigating baseline neurocognitive performance between male and female athletes with a history of multiple concussion.

Authors:  Tracey Covassin; Robert Elbin; Anthony Kontos; Elizabeth Larson
Journal:  J Neurol Neurosurg Psychiatry       Date:  2010-06       Impact factor: 10.154

3.  The effect of sport concussion on neurocognitive function, self-report symptoms and postural control : a meta-analysis.

Authors:  Steven P Broglio; Timothy W Puetz
Journal:  Sports Med       Date:  2008       Impact factor: 11.136

4.  Sensitivity of the concussion assessment battery.

Authors:  Steven P Broglio; Stephen N Macciocchi; Michael S Ferrara
Journal:  Neurosurgery       Date:  2007-06       Impact factor: 4.654

5.  Group versus individual administration affects baseline neurocognitive test performance.

Authors:  Rosemarie Scolaro Moser; Philip Schatz; Katherine Neidzwski; Summer D Ott
Journal:  Am J Sports Med       Date:  2011-08-09       Impact factor: 6.202

6.  The ability of CNS vital signs to detect coached sandbagging performance during concussion baseline testing: a randomized control trial.

Authors:  M N Anderson; L B Lempke; D H Bell; R C Lynall; J D Schmidt
Journal:  Brain Inj       Date:  2020-02-06       Impact factor: 2.311

7.  Institutionally Based ImPACT Test® Normative Values May Differ from Manufacturer-Provided Normative Values.

Authors:  Samuel R Walton; Donna K Broshek; Jason R Freeman; Jay Hertel; J Patrick Meyer; Nicholas K Erdman; Jacob E Resch
Journal:  Arch Clin Neuropsychol       Date:  2020-04-20       Impact factor: 2.813

8.  American Academy of Pediatrics. Clinical report--sport-related concussion in children and adolescents.

Authors:  Mark E Halstead; Kevin D Walter
Journal:  Pediatrics       Date:  2010-08-30       Impact factor: 7.124

9.  Detecting cognitive impairment after concussion: sensitivity of change from baseline and normative data methods using the CogSport/Axon cognitive test battery.

Authors:  Andrea G Louey; Jason A Cromer; Adrian J Schembri; David G Darby; Paul Maruff; Michael Makdissi; Paul Mccrory
Journal:  Arch Clin Neuropsychol       Date:  2014-05-09       Impact factor: 2.813

10.  The sensitivity and specificity of clinical measures of sport concussion: three tests are better than one.

Authors:  Jacob E Resch; Cathleen N Brown; Julianne Schmidt; Stephen N Macciocchi; Damond Blueitt; C Munro Cullum; Michael S Ferrara
Journal:  BMJ Open Sport Exerc Med       Date:  2016-01-19
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