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Estimating the sensitivity and specificity of matching name-based with non-name-based case registries

Published online by Cambridge University Press:  23 September 2003

P. ETKIND ,
Y. TANG ,
M. WHELAN ,
S. RATELLE ,
J. MURPHY ,
S. SHARNPRAPAI  and
A. DEMARIA
P. ETKIND
Affiliation:
Division of STD Prevention, Bureau of Communicable Disease Control, Massachusetts Department of Public Health,
Y. TANG
Affiliation:
Division of STD Prevention, Bureau of Communicable Disease Control, Massachusetts Department of Public Health,
M. WHELAN
Affiliation:
Division of STD Prevention, Bureau of Communicable Disease Control, Massachusetts Department of Public Health,
S. RATELLE
Affiliation:
Division of STD Prevention, Bureau of Communicable Disease Control, Massachusetts Department of Public Health,
J. MURPHY
Affiliation:
HIV/AIDS Surveillance Program, Bureau of Communicable Disease Control, Massachusetts Department of Public Health,
S. SHARNPRAPAI
Affiliation:
Division of Tuberculosis Prevention and Control, Bureau of Communicable Disease Control, Massachusetts Department of Public Health,
A. DEMARIA
Affiliation:
Bureau of Communicable Disease Control, Massachusetts Department of Public Health, 305 South Street, Jamaica Plain, MA 02130, USA
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Abstract

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Because non-name-based case registries have recently been used for reporting human immunodeficiency virus infection, this study attempted to define the sensitivity, specificity and accuracy of case registry matches using non-name-based registries. The AIDS, sexually transmitted disease (STD), and tuberculosis (TB) case registries were matched using all available information to establish the standard. The registries were then matched again using five increasingly less specific criteria to compare sensitivity, specificity and accuracy. The registries were then also transformed into non-name-based codes as if they were the HIV registry and matched again. With name-based registries, sensitivities increased as the matching criteria became less exacting, while the accuracy declined slightly. Specificities remained close to 100% due to the relatively small number of matched cases. Results from matches of non-name-based registry matches were similar to those of the name-based registry matches. Non-name reporting can be used for data matching with acceptable accuracy.

Type
Research Article
Information
Epidemiology & Infection , Volume 131 , Issue 1 , August 2003 , pp. 669 - 674
Copyright
© 2003 Cambridge University Press