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Sensitivity of an Aids Case-Finding Algorithm

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Bibliographic Data

ID9100067
AuthorsJames Walkup (Rutgers, the State University of New Jersey), James T Walkup, Wenhui Wei (0000-0002-8766-7769, Rutgers, the State University of New Jersey), Usha Sambamoorthi (0000-0001-8311-1360, Rutgers, the State University of New Jersey), Stephen Crystal (0000-0003-0366-7583, Rutgers, the State University of New Jersey)
Year2004
Volume42
Issue8
Pages756-763
Publication date2004-08-01
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueMedical Care (JOURNAL)
Journal identifiersISSN: 0025-7079 • E-ISSN: 1537-1948
PublisherOvid Technologies (Wolters Kluwer Health) (PUBLISHER)
DOI10.1097/01.mlr.0000132749.20897.46
PMID15258477
OpenAlexW1989901610
LanguageEN
Citations received9
References cited25

OBJECTIVE: The objective of this study was to determine the sensitivity of an AIDS case-finding algorithm. METHOD: 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. FINDINGS: 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 CONCLUSION: 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

Algorithm · Family medicine · Health care · Medicaid · Waiver · Computer Science · Data-Driven Disease Surveillance · HIV/AIDS Research and Interventions · Medicine · Pharmacovigilance and Adverse Drug Reactions · Pharmacy

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Unique citing works9
Citations per year0,45
Citation span2006 - 2020 (15)
Citation velocityhistorical
Highly citedNo
Citation typesNeutral: 8

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