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Using administrative data to study persons with disabilities.

Lisa I Iezzoni1

  • 1Harvard University, USA. liezzoni@caregroup.harvard.edu

The Milbank Quarterly
|July 10, 2002
PubMed
Summary
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Administrative data offers valuable insights into health services research for individuals with disabilities, despite challenges in identifying specific populations and outcomes. Leveraging these large datasets can improve understanding of care utilization and costs.

Area of Science:

  • Health Services Research
  • Disability Studies
  • Health Informatics

Background:

  • Administrative data, generated from health plan management, are crucial for health services research.
  • These datasets track service utilization, claims, costs, and quality across large populations.
  • Their application in disability research presents unique strengths and limitations.

Purpose of the Study:

  • To examine the advantages and disadvantages of using administrative data in health services research for people with disabilities.
  • To identify key data elements and strategies for enhancing the utility of administrative data in this field.

Main Methods:

  • Review of administrative data sources and their potential applications in disability research.
  • Discussion of challenges in identifying disability status, relevant services, and meaningful health outcomes.

Related Experiment Videos

  • Exploration of data linkage strategies to augment administrative data.

    • Main Results:

    • Administrative data offer benefits such as large population coverage, longitudinal tracking, cost-effectiveness, and accessibility.
    • Key data elements include Medicare/Medicaid eligibility via Social Security disability, diagnosis/procedure codes, pharmacy, and durable medical equipment claims.
    • Challenges remain in accurately identifying disability and measuring relevant health outcomes.

    Conclusions:

    • Administrative data are a powerful resource for disability health services research, providing broad population insights.
    • Careful consideration of identification methods and outcome measures is necessary.
    • Linking administrative data with other sources significantly enhances research capabilities for disability populations.