Source and scope
This material is based on the article “Understanding Function and other Outcomes in Cerebral Palsy” published in the August 2009 issue of Physical Medicine and Rehabilitation Clinics of North America.
A large number of tests have been developed for clinical practice and research in cerebral palsy (CP). This article discusses several of the most commonly used tools. The list is not exhaustive and should not be interpreted as a list of “best” instruments. The purpose is to show that outcome evaluation in CP is multidimensional, and tool selection should be based on the study aim and the patient population.
This overview follows the framework of the International Classification of Functioning, Disability and Health (ICF), which describes functioning and health in three main domains:
- Body structure,
- Body functions,
- Activities and participation (ability to perform tasks and take part in society).
ICF framework: three domains of outcomes
- Body structure
- Body functions
- Activities and participation
Measures targeting “Body Structure”
Measures focused on body structure are relatively rarely used in clinical CP trials, although most children have CT or MRI brain imaging to support the diagnosis of CP. Some studies use functional MRI (fMRI) to assess brain activity during specific tasks.
Currently, little is known about how MRI findings relate to clinical parameters in people with CP and how such data can be practically used. Only a few studies report reliability of interpreting fMRI results in certain patient populations [10, 11]. Due to high cost and limited availability in specialized centers, this technology is rarely used for CP treatment outcome assessment.
Measures targeting “Body Functions”
Body functions are frequently assessed in CP research. Since CP treatment often aims to reduce spasticity, the Ashworth and Tardieu scales are commonly used. These scales measure resistance during passive limb movement.
The Ashworth scale and Modified Ashworth Scale have limited reliability, and their validity has not been established (in part because spasticity is difficult to quantify) [12]. The Tardieu scale may be somewhat more reliable [13]. Despite clear limitations, these spasticity measures are widely used in CP clinical and research settings because no better, easily applicable tools are available.
Muscle strength: dynamometry
Strength is most commonly measured using dynamometry. Different dynamometers and dynamometry protocols exist—some are easier to use, others are more reliable. A comparative study of different dynamometry methods has been performed [14]. Strength measurement is widely used in treatment planning and research.
Range of motion: goniometry
Range of motion can be assessed by goniometry, using a handheld goniometer placed on the child’s limb to measure angles. Reliability of goniometry in CP research varies [15, 16], but it is widely used in routine clinical practice.
Measures of child activities
Activity measures are used less frequently in routine practice because they require more time and staff training.
GMFM (Gross Motor Function Measure)
The Gross Motor Function Measure (GMFM) consists of a series of tasks performed by the patient and scored by a physical therapist. It has established reliability and validity [17]. Administration takes about one hour, but it provides a quantitative assessment of motor development that can be compared with published gross motor development curves for children with CP [18].
PEDI (Pediatric Evaluation of Disability Inventory)
The PEDI is a structured interview with the child or the parents, providing quantitative indicators of self-care, mobility, and social function. It has demonstrated reliability, validity, and responsiveness [19].
COPM (Canadian Occupational Performance Measure)
The COPM can be considered a measure of both activity and participation (within the ICF model). It captures the child’s assessment of performance in everyday tasks and their level of satisfaction [20]. This tool is relatively unique because it helps identify the child’s individual priorities. Reliability, validity, and responsiveness have been established.
Measures of participation
Most participation measures have adequate reliability and validity but low responsiveness. The Children’s Assessment of Participation and Enjoyment (CAPE) assesses which activities a child participates in and what interests they have. The tool includes a list of 55 activities and questions about what, where, when, and how often participation occurs.
Overall health and quality of life
Overall health is assessed using questionnaires. Some instruments are generic and applied across pediatric populations. One such measure is the Pediatric Quality of Life Inventory (PedsQL) [22], which includes physical and psychosocial scales and is completed by children and parents. Another generic quality-of-life tool is KIDSCREEN, also completed by children or parents [23].
Specialized instruments include the Cerebral Palsy Quality of Life Questionnaire for Children (CP-QOL) [24] and the Caregiver Priorities and Child Health Index of Life with Disabilities (CPCHILD) [25]. CP-QOL is completed by the child or parents and assesses the overall quality of life. CPCHILD captures child health status and caregiver burden for children with more severe disability and is completed by parents. These questionnaires have been studied for reliability and validity.
Functional classification systems in CP
In recent years, classification tools have been widely used for children with CP. Alongside anatomical descriptions (e.g., spastic diplegia, tetraplegia), clinicians and researchers increasingly rely on functional classifications.
The most widely used is the Gross Motor Function Classification System (GMFCS) [9]—a reliable, stable, and easy-to-use system dividing children with CP into five functional levels. Level I includes children who walk without limitations but may have difficulties with advanced motor skills. Level V includes children with very limited self-mobility, even with assistive technology. Similar classification systems exist for hand function [27] and communication [28].
References
(As in the original text)
- Arnaud C, White-Koning M, Michelsen SI, et al. Parent-reported quality of life of children with cerebral palsy in Europe. Pediatrics 2008;121:54–64.
- Raina P, O’Donnell M, Rosenbaum P, et al. The health and well-being of caregivers of children with cerebral palsy. Pediatrics 2005;115:e626–36.
- World Health Organization. The international classification of functioning, disability and health (ICF). Geneva (Switzerland): World Health Organization; 2001.
- World Health Organization. International classification of functioning, disability and health—children & youth version (ICF-CY). Geneva (Switzerland): World Health Organization; 2007.
- Russell DJ, Rosenbaum PL, Avery LM, et al. Gross Motor Function Measure (GMFM-66 and GMFM-88) user’s manual. London: MacKeith Press; 2002.
- King GA, Law M, King S, et al. Measuring children’s participation… Child Care Health Dev 2007;33:28–39.
- Bjornson K, Hays R, Graubert C, et al. Botulinum toxin for spasticity… Pediatrics 2007;120:49–58.
- Dickinson HO, Parkinson KN, Ravens-Sieberer U, et al. Self-reported quality of life… Lancet 2007;369:2171–8.
- Palisano R, Rosenbaum P, Walter S, et al. Development and reliability… Dev Med Child Neurol 1997;39:214–23.
- Caceres A, Hall DL, Zelaya FO, et al. Measuring fMRI reliability… Neuroimage 2008;45:758–68.
- Kimberley TJ, Khandekar G, Borich M. fMRI reliability… Exp Brain Res 2008;186:183–90.
- Clopton N, Dutton J, Featherston T, et al. Reliability of the modified Ashworth… Pediatr Phys Ther 2005;17:268–74.
- Haugh AB, Pandyan AD, Johnson GR. Review of the Tardieu Scale… Disabil Rehabil 2006;28:899–907.
- Crompton J, Galea MP, Phillips B. Hand-held dynamometry… Dev Med Child Neurol 2007;49:106–11.
- Glanzman AM, Swenson AE, Kim H. Range of motion reliability… Pediatr Phys Ther 2008;20:369–72.
- Ten Berge SR, Halbertsma JP, Maathuis PG, et al. Popliteal angle measurement… J Pediatr Orthop 2007;27:648–52.
- Russell DJ, Avery LM, Rosenbaum PL, et al. Improved scaling… Phys Ther 2000;80:873–85.
- Rosenbaum PL, Walter SD, Hanna SE, et al. Motor development curves… JAMA 2002;288:1357–63.
- Haley S, Coster W, Ludlow L. PEDI manual. Boston (MA): 1992.
- Law M, Baptiste S, McColl M, et al. COPM… Can J Occup Ther 1990;57:82–7.
- Sakzewski L, Boyd R, Ziviani J. Participation measures review… Dev Med Child Neurol 2007;49:232–40.
- Varni JW, Seid M, Kurtin PS. PedsQL 4.0… Med Care 2001;39:800–12.
- Robitail S, Simeoni MC, Erhart M, et al. KIDSCREEN-52 validation… J Adolesc Health 2006;39:596e1–10.
- Waters E, Davis E, Reddihough D, et al. CP-specific QOL scale… PRO Newsletter 2005;35:10–2.
- Narayanan UG, Fehlings D, Weir S, et al. CPCHILD development… Dev Med Child Neurol 2006;48:804–12.
- Palisano R, Cameron D, Rosenbaum P, et al. GMFCS stability… Dev Med Child Neurol 2004;99(Suppl 46):4.
- Eliasson AC, Krumlinde-Sundholm L, Rosblad B, et al. MACS… Dev Med Child Neurol 2006;48:549–54.
- Hidecker MJC, Paneth N, Rosenbaum P, et al. Functional communication tool… Dev Med Child Neurol 2008;50:43.
- Mall V, Heinen F, Siebel A, et al. BTX-A trial… Dev Med Child Neurol 2006;48:10–3.
- Beaton DE, Bombardier C, Katz JN, et al. MCID… J Rheumatol 2001;28:400–5.
About the author
Anna Kushnir
Pediatrician and senior research fellow specializing in pediatric rehabilitation. Member of EACD and AACPDM.