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Evaluating the Discriminant Validity of the Pediatric Evaluation of Disability Inventory: Computer Adaptive Test in
Benjamin J Shore1, Benjamin G Allar2, Patricia E Miller2
1Department of Orthopedic Surgery, Boston Children's Hospital, Harvard Medical School, Hunnewell 221, 300 Longwood Ave, Boston MA 02115 (USA).
Insights
The Pediatric Evaluation of Disability Inventory-Computer Adaptive Test (PEDI-CAT) effectively measures functional abilities in children with cerebral palsy (CP). It accurately differentiates gross and fine motor skills across various classification levels.
Area of Science:
- Pediatric rehabilitation
- Clinical assessment tools
- Child development
Background:
- The Pediatric Evaluation of Disability Inventory-Computer Adaptive Test (PEDI-CAT) is a comprehensive assessment tool for children and youth aged 0-20.
- Cerebral palsy (CP) presents diverse functional challenges impacting motor skills.
Purpose of the Study:
- To evaluate the discriminant validity of the PEDI-CAT in children with CP.
- To assess PEDI-CAT's ability to differentiate functional levels based on the Gross Motor Function Classification System (GMFCS) and Manual Ability Classification System (MACS).
Main Methods:
- A cross-sectional study of 101 school-age children with CP, stratified by GMFCS level.
- Receiver operating characteristic (ROC) curve analysis and general linear modeling were used to determine discriminant validity.
Main Results:
- PEDI-CAT's Mobility and Daily Activities domains showed excellent discriminant validity for ambulatory vs. nonambulatory status (AUC=0.98, 0.97).
- The Daily Activities domain demonstrated excellent validity for hand function (independent vs. dependent, AUC=0.93).
- All PEDI-CAT domains significantly differentiated between GMFCS and MACS levels (P < .001).
Conclusions:
- The PEDI-CAT is a valid instrument for assessing functional abilities in children with CP.
- It effectively distinguishes between different levels of gross and fine motor function.
Background:
The Pediatric Evaluation of Disability Inventory-Computer Adaptive Test (PEDI-CAT) is a new clinical assessment for children and youth from birth through 20 years of age.
Objective:
To determine the discriminant validity of the PEDI-CAT according to the Gross Motor Function Classification System (GMFCS) and Manual Ability Classification System (MACS) in children with cerebral palsy (CP).
Design:
A prospective convenience cross-sectional sample of 101 school-age children with CP was stratified by GMFCS level.
Methods:
Participants were excluded if they underwent recent surgery (<6 months). Receiver operating characteristics curve analysis was used to quantify the discriminant validity of the PEDI-CAT domains to distinguish the level of independence in fine and gross motor function. General linear modeling was used to assess discriminant ability across all GMFCS and MACS levels.
Results:
Mean age was 11 years, 11 months (SD 3.7). Mobility and Daily Activities domains exhibited excellent discriminant validity distinguishing between ambulatory and nonambulatory participants [area under the curve (AUC) = 0.98 and 0.97, respectively] and the Daily Activities domain exhibited excellent discriminant validity distinguishing between independent and dependent hand function (AUC = 0.93). All PEDI-CAT domains were able to discriminate between ambulatory (GMFCS levels I-III) or nonambulatory (GMFCS levels IV-V) as well as manually independent (MACS levels I-II) or manually dependent functional levels (MACS levels III-V) ( P < .001).
Limitations:
Our convenience cross-sectional sample included school-age children with primarily Caucasian, middle-income parents and may not be representative of other cultural, socioeconomic backgrounds. Not all participants had a MACS level assigned, however, no differences were found in PEDI-CAT scores between those with and without MACS scores.
Conclusions:
These results demonstrate that the PEDI-CAT is a valid outcome instrument for measuring functional abilities in children with CP, able to differentiate across fine and gross motor functional levels.