title: Sensitivity of an AIDS case-finding algorithm: who are we missing?
abstract: OBJECTIVE
  The objective of this study was to determine the sensitivity of an AIDS case-finding algorithm.
  
  
  METHODS
  This study applied the AIDS case-finding algorithm to paid Medicaid claims linked to New Jersey AIDS surveillance data and assesses its sensitivity across subgroups of patients.
  
  
  RESULTS
  Of the 7183 cases with confirmed AIDS, based on the state's registry information, 95% (n = 6818) were correctly detected using all Medicaid claims, including pharmacy. For patients in a community-based waiver program, covered by Medicare, diagnosed with a severe mental illness, or continuously enrolled in Medicaid, with regular contact with the medical system, the algorithm identified almost all patients. To further evaluate algorithm performance, it was used with 2 groups of interest to researchers. For AIDS patients in the last 6 months of life, 88% were correctly detected without use of pharmacy claims and 95% when pharmacy claims were included. For pregnant women, data from the 6 months before the latest delivery date identify 27% of pregnant women without pharmacy claims and 41% when pharmacy claims were included. Using claims made after the latest delivery date, 81% of pregnant women were detected without pharmacy claims and 93% when pharmacy claims were included
  
  
  CONCLUSIONS
  Results demonstrate that a multilevel screen can be used with Medicaid claims to effectively to detect most patients with AIDS. Detection is lower for some subgroups, and the absence of pharmacy claims can compromise detection.
authors.affiliation: Institute for Health, Health Care Policy, and Aging Research, Rutgers University, New Brunswick, New Jersey 08901, USA. walkup@rci.rutgers.edu
authors.forename: James T
authors.initials: JT
authors.lastname: Walkup
authors.forename: Wenhui
authors.initials: W
authors.lastname: Wei
authors.forename: Usha
authors.initials: U
authors.lastname: Sambamoorthi
authors.forename: Stephen
authors.initials: S
authors.lastname: Crystal
mesh_terms: D000163:Acquired Immunodeficiency Syndrome / Q000175:diagnosis / Q000188:drug therapy / Q000453:epidemiology*; D000293:Adolescent; D000328:Adult; D000465:Algorithms; D044966:Anti-Retroviral Agents / Q000627:therapeutic use; D005260:Female; D006801:Humans; D007344:Insurance Claim Reporting; D007356:Insurance, Pharmaceutical Services / Q000706:statistics & numerical data; D016015:Logistic Models; D008297:Male; D008484:Medicaid / Q000706:statistics & numerical data*; D008498:Medical Record Linkage; D006278:Medicare / Q000706:statistics & numerical data; D008875:Middle Aged; D009515:New Jersey / Q000453:epidemiology; D011159:Population Surveillance / Q000379:methods*; D011247:Pregnancy; D012042:Registries; D012680:Sensitivity and Specificity
chemical_list: D044966:Anti-Retroviral Agents