Immediate Post-Concussion Assessment and Cognitive Testing (ImPACT)  (contd.)

Table 19. Classifications, raw scores, and percentile ranks based on a sample of 588 regular education high school boys.

Classification Raw Scores Percentile Ranks for Players
Low - Normal 0 40.5
Normal 1 - 6 49 - 76
Unusual 7 - 13 79 - 90
High 14 - 21 91 - 95
Very High 22+ > 95

Table 20. Classifications, raw scores, and percentile ranks based on a sample of 119 regular education high school girls.

Classification Raw Scores Percentile Ranks for Players
Low - Normal 0 29.4
Normal 1 - 8 40 - 75
Unusual 9 - 17 76 - 90
High 18 - 39 91 - 95
Very High 40+ > 95

Table 21. Classifications, raw scores, and percentile ranks based on a sample of 803 regular education university men.

Classification Raw Scores Percentile Ranks for Players
Low - Normal 0 43.3
Normal 1 - 5 50 - 75
Unusual 6 - 12 78 - 90
High 13 - 20 91 - 95
Very High 21+ > 95

Table 22. Classifications, raw scores, and percentile ranks based on a sample of 236 regular education university women.

Classification Raw Scores Percentile Ranks for Players
Low - Normal 0 26.7
Normal 1 - 10 32 - 75
Unusual 11 - 21 79 - 90
High 22 - 31 91 - 95
Very High 42+ > 95

Table 23. Classifications, raw scores, and percentile ranks based on a sample of 156 high school boys with a history of "special education"3.

Classification Raw Scores Percentile Ranks for Players
Low - Normal 0 31
Normal 1 - 10 39 - 74
Unusual 11 - 26 76 - 90
High 27 - 38 92 - 95
Very High 239+ > 95

Table 24. Classifications, raw scores, and percentile ranks based on a sample of 31 high school girls with a history of "special education".

Classification Raw Scores Percentile Ranks for Players
Low - Normal 0 19
Normal 1 - 6 32 - 74
Unusual 8 - 14 81 - 90
High 15 - 19 81 - 90

Table 25. Classifications, raw scores, and percentile ranks based on a sample of 196 university men with a history of "special education".

Classification Raw Scores Percentile Ranks for Players
Low - Normal 0 28
Normal 1 - 12 34 - 74
Unusual 13 - 28 77 - 90
High 29 - 41 91 - 95
Very High 42+ > 95

Table 26. Classifications, raw scores, and percentile ranks based on a sample of 60 university women with a history of "special education".

Classification Raw Scores Percentile Ranks for Players
Low - Normal 0 17
Normal 1 - 13 22 - 73
Unusual 14 - 21 78 - 90
High 22 - 31 91 - 95
Very High 32+ > 95

Interpreting Change on the Postconcussion Scale
A common method for interpreting change on a self-report inventory is to apply the reliable change methodology. This method relies heavily on the standard error of the difference score. The standard error of the difference (Sdiff) can be used to create a confidence interval (i.e., a prediction interval in the statistical literature) for test-retest difference score. Essentially, this confidence interval represents the probable range of measurement error for the distribution of difference scores. The formula for calculating the Sdiff is printed below.

The reliable change methodology allows the clinician to reduce the adverse impact of measurement error on test interpretation. To represent clinically significant improvement, the change score must be statistically reliable. However, the converse is not true; a statistically reliable change does not necessarily guarantee a clinically meaningful change. For example, if an athlete demonstrated a major increase in symptoms measured 24 hours post injury, and then obtained a score that showed statistically reliable improvement a few days later, yet the symptom endorsement was still extremely high, this change might not be interpreted as clinically meaningful improvement. In other words, there was real change for the better, but the athlete was still far from recovered.

Using the earlier example of the concussed athletes, the test retest reliability was .80. The standard deviation for time 1 was 24.6 and the standard deviation for time 2 was 12.0. The SEM for time 1 was 11.0 and for time 2 is 5.4. Thus, the Sdiff = 12.2, and the .80 confidence interval = 15.7.

The problem with applying the reliable change methodology to concussed athletes is that their experience of postconcussion symptoms is rapidly changing over a short time period. Thus, the phenomenon under study is not reasonably stable. In the example of the 82 concussed athletes, only 2.4% got worse over time by 10 or more points, whereas 45% got better by 10 or more points. Ten points represents the 90% confidence interval surrounding the time 1 test score in concussed athletes (see Table 18, last column).

Thus, because concussions typically result in a radical change in symptom reporting from baseline, followed by rapid improvement, the reliable change methodology has serious limitations in its practical application.


Clinical Interpretation of the Postconcussion Scale
Baseline Testing: If baseline testing is conducted, and an athlete endorses a high number of symptoms, he or she should be canvassed to identify factors relating to this symptom reporting. For example, an athlete might report a large number of symptoms due to depression or situational life stress. Retesting will likely be necessary following resolution of these factors, if transient, to get a better estimate of baseline functioning.

Postconcussion Testing: Immediately following concussion, athletes often report a large number of symptoms on a postconcussion inventory. There typically is rapid resolution of these symptoms over the next several days, and sometimes weeks. Knowing normal and abnormal symptom score ranges for athletes is helpful for interpreting the clinical significance of the symptom reporting patterns, irrespective of the reliability of the measures.

Step 1: Look up the classification range in Tables 19 - 26.
 
Step 2: Consider that the athlete's "true score" falls in the range of +/- 8 points surrounding the obtained score (last row of Table 18).
 
Step 3: Retest the athlete in a few days. If his/her score drops by 10 or more points, this is probably real improvement. If his/her score gets worse by 2 or more points, this should be taken seriously because athletes rarely get worse over time. In fact, of the 82 players tested twice, only 5% got worse by 5 or more points over the retest interval.
 
Step 4: Keep in mind that improvement doesn't mean recovery. Tables 19 - 26 can be used to determine when an athlete's score falls in the broadly normal range. In our view, athletes who continue to report symptoms outside the broadly normal range, under most circumstances, should continue to rest.
 

PDF of Normative Data


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Quick Reference Tables
Normative Data for Children Ages 11-14



 
"I love it. I consider it a functional evaluation of the brain. By using the computer lab at the school, I am able to run 20 athletes at a time. I believe ImPACT will soon be the gold standard in return to play."
- Ursulla Volkammer, ATC, HealthSouth, Portland, ME