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Related Experiment Video

Updated: Jun 20, 2026

Measuring the Functional Abilities of Children Aged 3-6 Years Old with Observational Methods and Computer Tools
11:29

Measuring the Functional Abilities of Children Aged 3-6 Years Old with Observational Methods and Computer Tools

Published on: June 20, 2020

Methods used to construct disability indicators in linked administrative datasets: a systematic scoping review.

Zoe Aitken1, Sarah Walmsley2, Glenda M Bishop2

  • 1Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, VIC, 3010, Australia. zoe.aitken@unimelb.edu.au.

Population Health Metrics
|June 6, 2025
PubMed
Summary

Constructing disability indicators from linked administrative data is challenging due to limited evidence and heavy reliance on diagnostic codes. More validation testing is crucial for accurate use of these disability indicators in research.

Keywords:
Administrative dataDisabilityDisability indicatorLinked dataScoping review

Related Experiment Videos

Last Updated: Jun 20, 2026

Measuring the Functional Abilities of Children Aged 3-6 Years Old with Observational Methods and Computer Tools
11:29

Measuring the Functional Abilities of Children Aged 3-6 Years Old with Observational Methods and Computer Tools

Published on: June 20, 2020

Area of Science:

  • Health Informatics
  • Disability Studies
  • Data Science

Background:

  • Linked administrative datasets offer potential for disability research.
  • Methods for constructing disability indicators and assessing their validity are not well-established.
  • Existing research often focuses on specific disabilities, like intellectual and developmental disabilities.

Purpose of the Study:

  • To review methods for creating disability indicators using linked administrative data.
  • To examine approaches for validating these disability indicators.
  • To identify gaps in the evidence base for disability indicator construction.

Main Methods:

  • A scoping review of Medline and Embase databases was conducted.
  • Studies published between January 2010 and June 2023 were included.
  • A narrative synthesis approach was used to analyze findings.

Main Results:

  • Thirty-six studies were included, with most focusing on intellectual/developmental disabilities.
  • Health, disability, and education data sources were commonly used.
  • Diagnostic codes were the primary method for disability identification, often used alone or with other data.

Conclusions:

  • There is a lack of evidence on constructing disability indicators for diverse populations.
  • Reliance on diagnostic codes highlights limitations in available administrative data.
  • Validation testing is essential to ensure the appropriate use of disability indicators in research.