Disability-Related Questions for Administrative Datasets.

Area of Science:

• Public Health
• Social Policy
• Disability Studies

Background:

• High global unemployment rates persist for people with disabilities.
• Accurate prevalence data is essential for designing support schemes like the National Disability Insurance Scheme and monitoring international conventions.
• Public sector administrative systems face challenges in identifying disability for policy design and monitoring.

Purpose of the Study:

• To develop and evaluate concise, respectful disability-related questions for administrative systems.
• To improve data collection for public policy, service access, and equity monitoring for people with disabilities.
• To contribute to broader applications of parsimonious disability identification methods.

Main Methods:

• Mapping and identifying key disability concepts for question development.
• Conducting focus groups to refine question wording.
• Online surveys to evaluate two sets of proposed disability questions among employees.

Main Results:

• Developed and refined new disability-related questions suitable for administrative systems.
• Evaluated the effectiveness and user perception of potential new data collection instruments.
• Provided recommendations for improved disability data collection processes.

Conclusions:

• The developed questions offer a more parsimonious and respectful method for identifying disability in administrative data.
• These new approaches can enhance the design and monitoring of public policy and support services for people with disabilities.
• The findings are being considered for implementation by a leading state authority, indicating practical utility.