A clinical decision framework for the identification of main problems and treatment goals for ambulant children with bilateral spastic cerebral palsy
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Inge Franki1, Josse De Cat2, Ellen Deschepper3
1Ghent University, Rehabilitation Sciences and Physiotherapy, Belgium; KU-Leuven, Department of Rehabilitation Sciences, Belgium.
Insights
Physical therapists show moderate agreement when identifying main problems in children with cerebral palsy (CP) using the ICF and HOAC-II model. Adding 3D gait analysis improved problem identification, though goal prioritization remains challenging.
Area of Science:
- Rehabilitation Medicine
- Pediatric Physical Therapy
- Biomedical Engineering (Gait Analysis)
Background:
- Accurate identification of main problems is crucial for effective physical therapy in children with cerebral palsy (CP).
- The International Classification of Function, Disability and Health (ICF) and Hypothesis-Oriented Algorithm for Clinicians (HOAC-II) provide a framework for clinical reasoning.
- The added value of advanced tools like three-dimensional gait analysis (3DGA) in this process requires further investigation.
Purpose of the Study:
- To assess the reliability of identifying main problems in ambulant children with CP using a clinical decision process (ICF & HOAC-II).
- To evaluate the influence of three-dimensional gait analysis (3DGA) on the reliability of problem identification.
- To analyze the relationship between identified main problems and specific therapeutic goals.
Main Methods:
- Twenty-two physical therapists individually assessed eight children with bilateral spastic CP.
- Therapists used the ICF and HOAC-II framework to define main problems and specific goals.
- Four children also had data from 3D gait analysis (3DGA) and the Gross Motor Function Measure-88 (GMFM-88) provided.
Main Results:
- Pair-wise agreement for identifying one, two, or three main problems was 47%, 32%, and 3% respectively, indicating moderate reliability.
- The inclusion of 3DGA data increased the correspondence of identified main problems among therapists.
- Therapists struggled with prioritizing specific goals, with a significant portion exceeding the recommended number; strength, range of motion, and GMFM-D were common targets.
Conclusions:
- The ICF and HOAC-II model supports structured clinical reasoning for physical therapists in pediatric CP.
- 3D gait analysis appears to enhance the reliability of identifying key functional problems in children with CP.
- Developing effective strategies for prioritizing specific therapeutic goals remains a challenge requiring further research.
Abstract:
The primary aim of the study was to investigate how a clinical decision process based on the International Classification of Function, Disability and Health (ICF) and the Hypothesis-Oriented Algorithm for Clinicians (HOAC-II) can contribute to a reliable identification of main problems in ambulant children with cerebral palsy (CP). As a secondary aim, to evaluate how the additional information from three-dimensional gait analysis (3DGA) can influence the reliability. Twenty-two physical therapists individually defined the main problems and specific goals of eight children with bilateral spastic CP. In four children, the results of 3DGA were provided additionally to the results of the clinical examination and the GMFM-88 (gross motor function measure-88). Frequency analysis was used to evaluate the selected main problems and goals. For the main problems, pair-wise agreement was calculated by the number of corresponding problems between the different therapists and using positive and negative agreement per problem. Cluster analysis using Ward's method was used to evaluate correspondence between the main problems and specific goals. The pair-wise agreement revealed frequencies of 47%, 32% and 3% for the identification of one, two or three corresponding main problems. The number of corresponding main problems was higher when additional information of 3DGA was provided. Most of the specific goals were targeting strength (34%), followed by range of motion (15.2%) and GMFM-D (11.8%). In 29.7% of the cases, therapists could not prioritize and exceeded the number of eight specific goals. Cluster analysis revealed a logic connection between the selection of strength as a main problem and as specific goal parameters. Alignment as a main problem was very often associated with specific parameters like ROM and muscle length and with hypertonia as a main problem. The results show a moderate agreement for the selection of main problems. Therapists are able to use the proposed model for a logic and structured clinical reasoning. Setting priorities in the definition of specific goals is revealed as a remaining difficulty. Further research is required to investigate the additional value of 3DGA and to improve priority setting.
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