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DOI: 10.1542/peds.2006-22582007;120;e880Pediatrics
Sabine Stein, Heike Weissenmayer, Rudolf Korinthenberg and Volker MallMichaela Linder-Lucht, Verena Othmer, Michael Walther, Julia Vry, Ulla Michaelis,
Adolescents With Traumatic Brain InjuriesValidation of the Gross Motor Function Measure for Use in Children and
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located on the World Wide Web at:The online version of this article, along with updated information and services, is
of Pediatrics. All rights reserved. Print ISSN: 0031-4005. Online ISSN: 1098-4275.Boulevard, Elk Grove Village, Illinois, 60007. Copyright 2007 by the American Academypublished, and trademarked by the American Academy of Pediatrics, 141 Northwest Point
publication, it has been published continuously since 1948. PEDIATRICS is owned,PEDIATRICS is the official journal of the American Academy of Pediatrics. A monthly
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ARTICLE
Validation of the Gross Motor Function Measure forUse in Children and Adolescents With Traumatic
Brain Injuries
Michaela Linder-Lucht, MD,Verena Othmer, MD, Michael Walther, MD, Julia Vry, MD,Ulla Michaelis, PT,Sabine Stein,PT,
Heike Weissenmayer, PT, Rudolf Korinthenberg, MD, Volker Mall, MD, and the GrossMotorFunction Measure-Traumatic Brain Injury Study
Group
Division of Neuropediatrics and Muscular Disorders, Department of Pediatrics and Adolescent Medicine, University Hospital Freiburg, Freiburg, Germany
The authors have indicated they have no financial relationships relevant to this article to disclose.
ABSTRACT
OBJECTIVES. Motor function recovery is a key goal during rehabilitation of children
and adolescents with traumatic brain injury. To evaluate how well treatment
strategies improve motor function, we need validated outcome measures that are
responsive to change in pediatric patients with traumatic brain injury. The GrossMotor Function Measure has demonstrated excellent psychometric properties in
children with cerebral palsy and Down syndrome, yet its responsiveness in pa-
tients with pediatric traumatic brain injury has not been proven irrefutably. Our
aim was to validate the Gross Motor Function Measure for this patient group.
METHODS. Seventy-three patients (mean age: 11.4 years; range: 0.8 18.9 years) with
moderate-to-severe traumatic brain injury were recruited in 12 rehabilitation
centers and assessed twice with the Gross Motor Function Measure-88 over 4 to 6
weeks. As an external standard, we used judgements of change made indepen-
dently by parents, physiotherapists, and 2 video assessors who were not familiar
with the patients. We formulated and statistically investigated a priori hypotheses
of how Gross Motor Function Measure change scores would correlate with those
judgements of change. Both Gross Motor Function Measure versions, the original
Gross Motor Function Measure-88 and the more recently developed Gross Motor
Function Measure-66, were evaluated.
RESULTS. Both Gross Motor Function Measure change scores correlated significantly
with all of the clinical judgements of change. The degree of correlation that we
postulated, that the Gross Motor Function Measure change score would correlate
highest with the video rating followed by physiotherapists and parents, was fully
confirmed by the Gross Motor Function Measure-88 and largely confirmed by the
Gross Motor Function Measure-66. Both Gross Motor Function Measure versions
revealed convincing discriminative capability. Test-retest reliability was excellent.
www.pediatrics.org/cgi/doi/10.1542/
peds.2006-2258
doi:10.1542/peds.2006-2258
KeyWords
GMFM-88, GMFM-66, GMFM, traumatic
brain injury, children, adolescents,
evaluation, motor function, validity,
rehabilitation
Abbreviations
TBItraumatic brain injury
GCSGlasgow Coma Scale
GMFMGross Motor Function Measure
CPcerebral palsy
T1baseline measure
T2measure after 4 to 6 weeks (2 days)
T1Rmeasure readministered after 2 to 3
days
VAvideo assessor
Accepted for publication Feb 19, 2007
Address correspondence to Michaela Linder-
Lucht, MD, Division of Neuropediatrics and
Muscular Disorders, Department of Pediatrics
and Adolescent Medicine, University Hospital
Freiburg, Mathildenstrasse 1, D-79106
Freiburg, Germany. E-mail: michaela.linder@
uniklinik-freiburg.de
PEDIATRICS (ISSNNumbers:Print, 0031-4005;
Online, 1098-4275). Copyright 2007by the
AmericanAcademy of Pediatrics
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CONCLUSIONS. We demonstrate convincing evidence of re-
sponsiveness and validity to support the use of both
Gross Motor Function Measure versions as evaluative
measures of gross motor function in children and ado-
lescents with traumatic brain injury.
TRAUMATIC BRAIN INJURY (TBI) is a key cause of spas-tic movement disorders during childhood and ado-
lescence. The estimated annual incidence of pediatric
TBI in developed countries varies according to inclusion
criteria, age, gender, and home country, ranging be-
tween 12 and 489 per 100 000 (overall rate: 235 per
100 000), with 2 peak periods of incidence in early child-
hood (age: 5 years) and between adolescence and
young adulthood (age: 1520 years). On the basis of
initial scores in the Glasgow Coma Scale (GCS) 1, 70% to
80% of patients are classified with mild TBI (GCS: 13
15). Moderate (GCS: 912) and severe (GCS: 38) TBI
are reported in similar proportions of
10%.26
Approx-imately 65% of children with severe TBI exhibit spastic-
ity resulting in functional limitations and disability.710
Hence, recovery of motor function and achieving mobil-
ity are among the primary therapy goals during the
rehabilitation of children with brain injury. The degree
of motor function recovery is an important indicator of
the rehabilitation methods efficacy. Although various
rehabilitation programs have been designed to improve
gross motor function in a pediatric population with TBI,
there is limited research evidence supporting the effec-
tiveness of these interventions.11 This might be because
of the current lack of standardized evaluative measures
with appropriate psychometric properties developed
specifically for pediatric patients with TBI to assess the
magnitude of functional change over time. Outcome
assessments for this patient group are often self-devel-
oped, modified from existing measures, or incorporating
a combination of cognitive, self-care, and physical di-
mensions without differentiation between mobility and
purely motor skills, factors that complicate the interpre-
tation of the amount of motor function recovery alone.12
The Gross Motor Function Measure (GMFM) is recog-
nized in clinical practice and international rehabilitation
research as the gold standard for evaluating quantitative
changes in gross motor function. There are 2 versions of
the GMFM available, the GMFM-8813 and GMFM-66.14
The GMFM-88 is the original criterion-referenced mea-
sure consisting of 88 items grouped in 5 dimensions of
motor function: (1) lying and rolling; (2) sitting; (3)
crawling and kneeling; (4) standing; and (5) walking,
running, and jumping. It was primarily designed to de-
tect clinically significant change in gross motor function
in children with cerebral palsy (CP),13 followed by a
comprehensive validation study for children with Down
syndrome15,16 and a recent first-validation trial for chil-
dren aged 5 to 17 years with spinal muscular atrophy.17
The responsiveness of the GMFM-88 to changes in mo-
tor function after TBI has also been partially estab-
lished,13,18,19 but no comprehensive validation study for
its application in this patient group has yet been con-
ducted. The more recently developed GMFM-66 ema-
nated from the GMFM-88 after applying the Rasch
model of item analysis20 to it in an effort to improve its
clinical usefulness. It is composed of a subset of 66 items,forming a 1-dimensional hierarchical scale. The
GMFM-66 has only proved valid for children with CP so
far, because the item difficulties were calibrated for use
with that particular patient group. Aim of this multi-
center study was to evaluate the validity of the
GMFM-66 and GMFM-88 for use as responsive mea-
sures of change in motor function in children and ado-
lescents with moderate and severe TBI during an inpa-
tient rehabilitation setting.
METHODS
Twelve rehabilitation centers in Germany (n
11) andSwitzerland (n 1) participated in this study (study
coordination center: Childrens University Hospital
Freiburg, Movement Disorders Study Group), recruiting
children and adolescents between the ages of 1 and 18
years who received inpatient rehabilitation services for
TBI. To ensure the necessary variability in population
required for a validation study, we included patients in
early and late rehabilitation phases; the interval between
the time of injury and assessment was irrelevant. A
detailed description of inclusion and exclusion criteria is
provided in Table 1. It was not the aim of this study to
evaluate therapy or early intervention services; thus, the
patients were told to continue with their therapies at
that time. The study was approved by the ethics com-
mittee of Freiburg University.
Determination of Validity
To establish a measures validity, one must compare the
measure of interest with the gold standard (criterion
measure) for the factor being investigated (ie, motor
function). There is currently no generally accepted gold
TABLE 1 Inclusionand ExclusionCriteria
Inclusion criteria
Age 118 y
Moderate (GCS 912) or severe (GCS 38) TBI
Normal psychomotor development before TBI-related hospitalization
Spastic hemiparesis or tetraparesis with functionally significant impairment of
the lower extremities
Adequate physical and mental capability to cooperate and follow GMFM
instructions
Written informed consent from parents or patients
Exclusion criteria
Initial GMFM score 97%
Peripheral injuries interfering with gross motor function at T1/T2 (ie, treatable
fractures of the lower extremities, ribcage, or vertebral column)
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standard in pediatric TBI rehabilitation centers for as-
sessing quantitative changes in motor performance.
Thus, rehabilitation researchers commonly use a con-
struct as an external standard to validate the parameter
in question. In accordance with the Canadian GMFM
developers original validation study,13 we used the stan-
dardized appraisals of change made by parents, physio-
therapists, and independent video assessors as an exter-nal standard, assuming that this measure reflects
clinically relevant change in motor function. A priori
hypotheses were formulated concerning how change
scores on the GMFM would relate to change as judged
by parents, physiotherapists, and independent video as-
sessors.
First we postulated that changes in the GMFM scores
would demonstrate a positive and significant correlation
between the changes in motor function as rated by par-
ents, physiotherapists, and independent video assessors
(minimal correlation coefficient: 0.4) and that this de-
gree of correlation would be higher between the GMFMchange score and video rating (estimated correlation
coefficient:0.6) than between the GMFM change score
and judgements of change made by parents and physio-
therapists. We expected the lowest correlation to occur
between GMFM change scores and those of parental
appraisals. Our postulates were based on the consider-
ation that standardized videotapes of motor function
(rated by an independent assessor) would be considered
the most objective, because the patients actual perfor-
mance would be recorded and evaluated (what is done
versus what can be done). That value should correlate
most closely with the GMFM measuring quantitative
motor function. Because of their background knowledge
about patients, motor function evaluations by treating
physiotherapists are potentially biased. Parents, on the
other hand, might perceive changes in motor function as
reflecting improvement in everyday activities, a param-
eter usually differing considerably from the quantitative
changes in gross motor function detected by the GMFM.
Second, we postulated that there would be fewer
changes in gross motor function during the period be-
tween the actual injury and the first GMFM assessment.
One would anticipate higher GMFM change scores re-
flecting faster change in motor function in the earlier
rehabilitation phases.
Third, we also aimed to test and retest reliability of the
GMFM in children and adolescents with TBI, consider-
ing the GMFM as reliable, provided the intraclass corre-
lation coefficient for the total score attained .90.
Evaluation
The assessment battery consisted of the GMFM, a stan-
dardized video recording, and standardized video rater,
parent, and physiotherapist questionnaires. Evaluations
were obligatory at baseline (T1) and after 4 to 6 weeks
(2 days; T2). The rehabilitation centers had the option
of participating in an evaluation, including the GMFM
readministered after 2 to 3 days (T1R), to monitor test-
retest reliability.
GMFM
All of the physiotherapists who acted as GMFM assessors
were trained in the use of the GMFM by the coordina-tion center as a precondition for study participation. The
official German translation of the GMFM-88 was ap-
plied, which had been developed by the Freiburg Uni-
versity Movement Disorders Study Group in 1999 in
close cooperation with the GMFMs Canadian authors; it
was recently published as the German GMFM manual.21
Training consisted of a 2-day workshop for beginners
with no previous knowledge of the GMFM and a 1-day
refresher course for certified users already familiar with
the instrument. To monitor the reliability of the GMFM,
all of the assessors were tested using a criterion test
videotape to ensure that their scores achieved a mini-mum level of agreement (Somers D coefficient: 0.7).
The same physiotherapist assessed the GMFM at T1, T2,
and T1R.
To investigate the GMFM-66 validity and sensitivity,
all of the GMFM-88 raw scores were converted into the
corresponding GMFM-66 scores using the computer
software for the GMFM-66, the Gross Motor Ability
Estimator.21 Validation analysis was repeated with the
GMFM-66 values.
Video Assessments
The gross motor abilities of the study sample were vid-
eotaped during T1 and T2 according to a standardized
protocol for camera position. Videotapes were 20 min-
utes long and contained samples of motor tasks of the
lying and rolling; crawling and kneeling; sitting; stand-
ing; and walking, running, and jumping dimensions.
Before the start of the study, physiotherapists were in-
structed in how to properly record the videotapes. The 2
video assessors were asked to rate the gross motor abil-
ities observed and to judge any changes in overall and
specific gross motor function dimensions using a stan-
dardized questionnaire. Motor abilities were rated using
a 5-point Likert scale varying from 1 (no impairment) to
5 (very severe impairment). A 7-point Likert scale was
applied to quantify the magnitude of change at the T2
assessment, ranging from 3 (much less) to 3 (much
more), with 0 representing no change. They were ex-
plicitly instructed not to score the GMFM from video-
tape. Both assessors were blinded to the complete case
histories of the patients, meaning they had no back-
ground information regarding rehabilitation phase, in-
terval between brain injury and GMFM assessment, se-
verity of TBI, motor and mental impairment, therapy
goals, or other personal data.
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Parentand PhysiotherapistQuestionnaires
The parent and physiotherapist questionnaires were
identical to those of the video raters regarding the rating
of current motor abilities and the magnitude of change
at T2. In addition, information about the relevance of
the observed change on everyday activities was obtained
by parents and physiotherapists using a 7-point Likert
scale ranging from 3 (severe negative impact) to 3(highly positive impact). The questionnaires were ad-
ministered by telephone by medical staff at the coordi-
nation center (2 pediatricians and 1 physiotherapist)
according to a standardized protocol. The telephone in-
terview took 8 to 10 minutes.
StatisticalAnalysis
All of the statistical computations were performed with
SPSS 13.0 software (SPSS Inc, Chicago, IL). The criterion
for determining significance was a Pvalue of.05 for all
of the statistical tests. A Spearmans correlation coeffi-
cient was used for correlation analysis (hypothesis 1);the Mann-Whitney U test for independent samples was
used to determine any gradient of change over time and
whether the change in gross motor function decreased as
the interval between brain injury and first GMFM as-
sessment increased (hypothesis 2). Test-retest reliability
(hypothesis 3) was evaluated using the Bland-Altman
plot. Correlation between functional change and activi-
ties of daily living was examined by the Kruskal-Wallis
test for k independent samples.
RESULTS
Patient Characteristics
Of the 78 patients recruited in 12 study centers in Ger-
many (n 11) and Switzerland (n 1) between Octo-
ber 2003 and August 2005, 5 failed to complete the
study and had to be excluded from the analysis. A de-
tailed description of the subject population is summa-
rized in Table 2. The mean interval between the GMFM
assessments was 5 weeks and 5 days (SD: 7 days).
Hypothesis1
Change scores for the GMFM, parent and physiothera-
pist questionnaires, and video ratings were derived by
comparing total scores from T1 with those obtained at
T2. Both GMFM version change rates and changes as
judged by parents, physiotherapists, and video assessors
correlated significantly, indicating parallel alterations (P
.0001). Correlations between the total GMFM-88
change score and video rating were best, meeting the
hypothesized criterion of0.6 (video assessor 1 [VA1]: r
0.737; VA2: r 0.657), followed by those between
physiotherapists (r 0.555) and parents (r 0.531). In
accordance with those results, we observed the highest
correlation between the GMFM-66 change score and
VA1 (r 0.679), followed by those between physiother-
apists (r 0.609) and parents (r 0.563). However,
VA2 correlated much weaker than expected, with the
GMFM-66 change score (r 0.536) not achieving the
hypothesized criterion of 0.6. We also assessed the
reliability of the judgements of change made by the 2
independent video raters who were experienced phys-
iotherapists. Interrater reliability was high, with r at
0.704 for the 9 overall judgements of change, ranging
from 0.24 (sitting) to 0.726 (walking, running, and
jumping) for the individual dimensions.
Hypothesis2
As hypothesized, changes in gross motor function be-
came fewer as the interval between brain injury and T1
increased. The total GMFM-88/-66 change scores in chil-
dren and adolescents with date of injury1 year before
the first GMFM assessment (n 10) was only 1.8% (SD:
4.8%)/2.1% (SD: 3.0), whereas it was 12.8% (SD:
14.5)/11.6% (SD: 10.3) in patients for whom the
TABLE 2 BaselineCharacteristics of 73 ChildrenWithModerate-to-
Severe TBI EnteredOntoa ProspectiveMulticenter Study
to Evaluate theValidity of theGMFM-66 andGMFM-88
Parameter Subjects
Female, n (%) 32 (43.8)
Male, n (%) 41 (56.2)
Age at T1
Mean (SD), y 11.4 (
5.1)Range, y 0.818.9
Age at injury
Mean (SD), y 10.5 (4.9)
Range, y 0.818.8
Time between injury and T1
Mean (SD), y 0.86 (2.0)
Range, y 0.011.4
Cause of TBI, n (%)
Traffic accidents 62 (84.9
Falls 7 (9.6)
Violent blows 4 (5.5)
Severity of TBI, n (%)
Moderate (GCS 912) 9 (12.3)
Severe (GCS 38) 64 (87.7)
Type of spasticity, n (%)Hemiparesis 41 (56.2)
Tetraparesis
PEDI mobility level, n (%)
I. Limited capability 10 (13.7)
II. Early movement 10 (13.7)
III. Early mobility 21 (28.8)
IV. Home mobility 10 (13.7)
V. Limited community capability 11 (15.1)
VI. Advanced transfers 4 (5.5)
VII. Advanced community mobility 7 (9.6)
Severity of cognitive impairment, n (%)
No impairment 2 (2.7)
Learning disabilities 28 (38.4)
Moderate mental retardation 22 (30.1)
Severe mental retardation 21 (28.8)
Toclassifythe childrenaccording to their current functional status, thePEDI MobilityClassifica-
tion System20 was used. PEDI indicates Pediatric Evaluation of Disability Inventory.
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interval between brain damage and T1 was 1 year (n
63). That correlation was statistically significant (P
.002/P .001).
Hypothesis3
Test-retest reliability of the GMFM-88/-66 was deter-
mined in a subsample of 10 children. The interval be-
tween T1 and T1R was 3.8 days (SD: 1.1). The intra-class correlation coefficient for the total GMFM-88 and
GMFM-66 score amounted to .99 (Fig 1).
Correlation Between Functional ChangeandActivities of Daily
Living
To investigate whether the functional changes observed
in both GMFM versions were at all relevant to the pa-
tient vis-a-vis activities of daily living, we also compared
parents and physiotherapists subjective judgments of
the relevance of change with the GMFMs change score.
Parallel alterations between GMFM change scores and
parent and physiotherapist judgements regarding theimpact of motor change on activities of daily living could
be demonstrated (Table 3).
DISCUSSION
We evaluated the validity of the GMFM-66 and GMFM-88
for use as responsive measures of change in motor func-
tion in children and adolescents with TBI in this study,
using 3 a priori hypotheses, as described below.
First, change scores of the GMFM-66 and the
GMFM-88 strongly correlated with all of the clinical
judgments of change. For the degree of correlation, we
postulated that the GMFM change score would correlate
highest with the 2 video raters (VA1 and VA2) followed
by physiotherapists and parents. This was fully con-
firmed with the GMFM-88 (r VA1 and r VA2 r phys-
iotherapists r parents) and largely confirmed with the
GMFM-66 (r VA1 r physiotherapists r parents r
VA2).Second, change scores of the GMFM-66 and the
GMFM-88 were higher during the first year of rehabil-
itation after brain injury than during later rehabilitation
phases, reflecting the clinical observation that patients
with TBI show the largest motor recovery during the
first year of rehabilitation.2224
Third, test-retest reliability in a small subsample of
patients was high, indicating that both versions of the
GMFM are consistent over a short period of time when
no significant change in function occurred.
Using a priori construct hypotheses in the absence of
a gold standard is a well-accepted validation strate-gy.13,15,25 The definition of a video rater as an objective
observer is a crucial point in this validation method. In
accordance with previous GMFM validation studies,13,15
the video assessors were physiotherapists blinded to the
medical history of the patient, covering treatment, as
well as statements from parents or therapists and/or
medical professionals. They were not informed about the
interval between the time point of brain injury and first
GMFM evaluation. Because the video rater had to eval-
uate the question of change in motor function over time,
and it was not our aim to investigate the impact of
therapy or early intervention services, we did not blind
the video raters to the time point (T1 or T2) of the
assessments. Certainly, one could argue that an observer
blinded for the time point of evaluation might be even
more objective. However, we believe that we have elim-
inated the most serious confounders, and our video rat-
ers fulfilled the criterion of being highly objective and
independent assessors.
This study did not evaluate interrater reliability in the
administration of the GMFM. Taking into account that
interrater reliability in children with CP and in those
with Down syndrome has been excellent for trained
users in the GMFM, it seemed reasonable to assume that
the interrater reliability of trained users assessing pedi-
atric TBI patients would be comparatively high.
Although our results indicate that both versions of
the GMFM are valid and sensitive tools to assess change
in motor function in pediatric patients with TBI, some
differences are revealed between the 2 versions of the
GMFM, however. In the GMFM-66, 1 objectivity crite-
rion failed regarding the correlation between the
GMFM-66 change score and VA2, indicating that the
GMFM-66 might be less accurate in detecting clinically
significant change than the GMFM-88. This finding
might be explained by the development of the
100.080.060.040.020.00.0
Total GMFM score T1R, %
6.0
4.0
2.0
0.0DifferenceoftotalGMFM
scoreT1andT1R
,
%
GMFM-88
GMFM-66
GMFM-66 (n = 10)
GMFM-88 (n = 10)
FIGURE 1
Bland-Altman plot for describing test-retest reliability with reference line to x-axis for
doubled uncorrected SDs of GMFM-88 (upper continuous line) and GMFM-66 (upper
interrupted line).
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GMFM-66 representing a kind of concentration on the
specific motor development pattern of patients with CP,
which certainly differs from children with TBI. Because
these differences between the 2 versions of the GMFM
are nonetheless small and tend to be of merely theoret-
ical interest, the potential advantages of the GMFM-66,
namely its quicker administration and improved calcu-
lation of total scores (even when some items have been
omitted), may enhance its clinical efficacy.
CONCLUSIONS
This multicenter trial has provided sufficient evidence of
responsiveness and the validity to support the use of the
GMFM-88 and GMFM-66 in clinical and research set-
tings as an evaluative measure of gross motor function in
children and adolescents with TBI. A standardized ther-
apy evaluation method is a precondition for a better
understanding of therapeutic effects on motor outcome
and for optimizing rehabilitative strategies in pediatric
patients with TBI.
ACKNOWLEDGMENTS
This study was financially supported by ZNS-Hannelore-
Kohl-Stiftung grant 200 300 1.
The Gross Motor Function Measure-Traumatic Brain
Injury Study Group participating in this trial included
rehabilitation centers in Germany and Switzerland: Uni-
versity Childrens Hospital Zurich, Rehabilitation Center,
Affoltern (CH): B. Knecht, MD; Fachklinik Hohen-
stucken, Brandenburg: M. Kohler, MD; Neurologisches
Rehabilitationszentrum Friedehorst, Bremen: M.
Spranger, MD; HUMAINE Klinik, Geesthacht: A. Nolte,
MD; Hegau-Jugendwerk Gailingen GmbH: D.
Schmalohr, MD; Klinik Holthausen, Hattingen: W.
Boksch, MD; Kinderkrankenhaus Park Schonfeld, Kas-
sel: F. K. Tegtmeyer, MD; Klinik Bavaria, Kreischa: W.
Deppe, MD; St Mauricius Therapieklinik, Meerbusch: K.
Muller, MD; Fachkrankenhaus Neckargemund: W. Die-
ner, MD; Kinderklinik Schomberg: Ch. Seilacher, MD;
and Behandlungszentrum Vogtareuth: S. Lutjen, MD.
We thank the children, adolescents, and their parents
for participation. We especially thank the physiothera-
pists and pediatricians at all of the 12 participating reha-
bilitation centers for their invaluable assistance with data
collection. We also thank Carole Curten for editorial
assistance.
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TABLE 3 Correlations BetweenGMFMChange Scores andParent/Physiotherapist Judgements
Regardingthe Impactof theObserved Changeon Activities of Daily Living(n70)
Judgement on Impact on
Activities of Daily Living
n GMFM-88 Change
Score, % (SD)
GMFM-66 Change
Score, % (SD)
Parent judgement
High positive impact 51 12.6 (14.6) 11.4 (10.6)
Mean positive impact 10 9.8 (11.1) 10.3 (7.5)
Low positive impact 4 5.7 (6.8) 3.6 ( 8.5)
No change 5 1.4 (3.6) 0.5 (2.2)
P P 0.094 P .05
Physiotherapist judgement
High positive impact 30 17.0 (16.2) 13.9 (11.7)
Mean positive impact 18 10.7 (11.3) 8.3 (7.3)
Low positive impact 15 4.7 (5.4) 8.5 (8.6)
No change 6 0.1 (1.7) 1.3 (2.0)
Low negative impact 0
Mean negative impact 0
High negative impact 1 0.7(0.0) 1.7(0.0)
P P .05 P .05
indicates none.
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DOI: 10.1542/peds.2006-22582007;120;e880Pediatrics
Sabine Stein, Heike Weissenmayer, Rudolf Korinthenberg and Volker MallMichaela Linder-Lucht, Verena Othmer, Michael Walther, Julia Vry, Ulla Michaelis,
Adolescents With Traumatic Brain InjuriesValidation of the Gross Motor Function Measure for Use in Children and
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