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I-CAN: the classification and prediction of support needs
Samuel R C Arnold1, Vivienne C Riches, Roger J Stancliffe
1Centre for Disability Studies, The University of Sydney, Camperdown, NSW, Australia; Faculty of Health Sciences, The University of Sydney, Lidcombe, NSW, Australia.
Summary
Measuring support needs for intellectual disability is advancing. A new classification system shows good validity and consistency, potentially improving disability assessment.
Area of Science:
- Intellectual Disability Assessment
- Classification Systems
- Healthcare Measurement
Background:
- Intellectual disability diagnosis relies on intelligence, adaptive behavior, and support needs.
- Established methods exist for intelligence and adaptive behavior, but support needs measurement is underdeveloped.
Purpose of the Study:
- To explore the measurement and classification of support needs in intellectual disability.
- To evaluate a proposed classification of support needs against a standardized tool and expert judgment.
Main Methods:
- Compared the ICF (International Classification of Functioning, Disability and Health) based I-CAN v4.2 support needs tool with expert clinical judgment.
- Developed and validated a logical classification algorithm for support needs.
Main Results:
- The I-CAN tool demonstrated good internal consistency (0.73–0.91) and criterion validity (κ = 0.94).
- The proposed classification algorithm showed strong agreement with expert judgment.
Conclusions:
- Advances in understanding and measuring support needs are crucial for improving disability assessment.
- This study's findings suggest a promising approach to classifying support needs, potentially transforming disability evaluation.
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