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Related Concept Videos

Modeling in Therapy01:26

Modeling in Therapy

Modeling, a key technique in therapy, uses observational learning to help clients acquire and practice new skills by watching therapists demonstrate desired behaviors. This approach, rooted in Albert Bandura's concept of vicarious learning, plays a significant role in therapeutic interventions for various psychological conditions, including social anxiety, ADHD, and depression.
Participant Modeling
Participant modeling involves therapists demonstrating calm and effective behaviors in situations...

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Computerized Adaptive Testing System of Functional Assessment of Stroke
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Developing a disability determination model using a decision support system in Taiwan: a pilot study.

Wen-Chou Chi1, Tsan-Hon Liou, Wen-Ni Wennie Huang

  • 1Department of Information Management, National Chung Cheng University, Chia-Yi, Taiwan, ROC.

Journal of the Formosan Medical Association = Taiwan Yi Zhi
|July 23, 2013
PubMed
Summary
This summary is machine-generated.

The new International Classification of Functioning, Disability, and Health (ICF)-based disability determination tool (ICF-DDT) showed significant differences compared to the diagnosis-based tool. The developed Disability Grading Decision Support System (DGDSS) offers insights for resource allocation for individuals with disabilities.

Keywords:
Disability and Health (ICF)International Classification of FunctioningWorld Health Organization (WHO)decision support system (DSS)disability eligibility

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Area of Science:

  • Rehabilitation Medicine
  • Health Services Research
  • Disability Studies

Background:

  • Current disability determination methods often rely on diagnosis-based tools.
  • There is a need for standardized and comprehensive disability assessment.

Purpose of the Study:

  • To develop the Disability Grading Decision Support System (DGDSS).
  • To compare a new International Classification of Functioning, Disability, and Health (ICF)-based disability determination tool (ICF-DDT) against a diagnosis-based tool (D-DDT).

Main Methods:

  • 9357 patients from 236 institutions were evaluated using both ICF-DDT and D-DDT.
  • The ICF-DDT within the DGDSS comprised four models and nine modules, utilizing the World Health Organization Disability Assessment Schedule 2.0 (WHODAS 2.0) and Scale of Body Functions and Structures.
  • Presence, severity, and category of disability were compared between the two tools.

Main Results:

  • The ICF-DDT identified more patients as disability-free compared to the D-DDT.
  • Different modules showed varying rates for disability severity (mild, moderate, severe, profoundly severe).
  • Module 1-1 showed the smallest difference in disability determination compared to D-DDT, while Module 3-1 showed the largest.

Conclusions:

  • Significant differences exist in the determination of disability presence, severity, and category between ICF-DDT and D-DDT.
  • The DGDSS, utilizing the ICF-DDT, provides valuable data for policymakers regarding social welfare and medical resource allocation for people with disabilities.
  • User feedback indicated the DGDSS is robust when input data is accurate.