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Sensitivity of an AIDS case-finding algorithm: who are we missing?

James T Walkup1, Wenhui Wei, Usha Sambamoorthi

  • 1Institute for Health, Health Care Policy, and Aging Research, Rutgers University, New Brunswick, New Jersey 08901, USA. walkup@rci.rutgers.edu

Medical Care
|July 20, 2004
PubMed
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This study found that a Medicaid claims algorithm effectively identifies most individuals with AIDS (acquired immunodeficiency syndrome). Pharmacy claims significantly improve detection rates, especially for specific patient subgroups.

Area of Science:

  • Public Health
  • Health Informatics
  • Epidemiology

Background:

  • Accurate identification of individuals with AIDS is crucial for effective public health interventions and resource allocation.
  • Utilizing administrative data, such as Medicaid claims, offers a scalable approach for case-finding.
  • Previous methods for AIDS case identification may not fully leverage available healthcare data.

Purpose of the Study:

  • To evaluate the sensitivity of an AIDS case-finding algorithm using paid Medicaid claims.
  • To assess the algorithm's performance across diverse patient subgroups.
  • To determine the impact of including pharmacy claims on case detection.

Main Methods:

  • The AIDS case-finding algorithm was applied to paid Medicaid claims data.

Related Experiment Videos

  • Claims data were linked to New Jersey AIDS surveillance registry information for validation.
  • Algorithm sensitivity was analyzed for the overall cohort and specific patient subgroups.

    • Main Results:

    • The algorithm correctly identified 95% of confirmed AIDS cases when using all Medicaid claims, including pharmacy data.
    • High detection rates were observed for patients in waiver programs, with Medicare, severe mental illness, or continuous Medicaid enrollment.
    • Sensitivity varied for specific groups: 88% (without pharmacy) to 95% (with pharmacy) for patients in the last 6 months of life; 27% (without pharmacy) to 41% (with pharmacy) for pregnant women pre-delivery, and 81% (without pharmacy) to 93% (with pharmacy) post-delivery.

    Conclusions:

    • A multilevel screening approach using Medicaid claims is effective for detecting the majority of individuals with AIDS.
    • Algorithm sensitivity is reduced in certain patient subgroups.
    • The inclusion of pharmacy claims is vital for optimizing the detection of AIDS cases.