Literature DB >> 25133769

Matching AIDS and tuberculosis registry data to identify AIDS/tuberculosis comorbidity cases in California.

Qiang Xia1, Janice L Westenhouse2, Alan F Schultz2, Atsuko Nonoyama2, William Elms2, Nancy Wu3, Lisette Tabshouri2, Juan D Ruiz2, Jennifer M Flood2.   

Abstract

The purpose of this study was to evaluate the sensitivity and positive predictive value (PPV) of a registry data linkage procedure used in the California AIDS and Tuberculosis (TB) Registry Data Linkage Study to identify AIDS/TB comorbidity cases in California. The California AIDS registry data from 1981 to 2006 were linked to the California TB registry data from 1996 to 2006 using LinkPlus, a probabilistic record linkage program developed by the Centers for Disease Control and Prevention, and matched results were manually reviewed to determine true or false matches. We estimated the sensitivity of this procedure to range from 98.0 per cent (95% confidence interval, CI: 97.3%, 98.7%) to 98.8 per cent (95% CI: 98.1%, 99.2%), and the PPV to be 100 per cent (95% CI: 96.8%, 100.0%). Our study demonstrated the feasibility of using this linkage procedure to match AIDS and TB registry data with a very high degree of accuracy.
© The Author(s) 2010.

Entities:  

Keywords:  acquired immunodeficiency syndrome; comorbidity; positive predictive value; registries; sensitivity; tuberculosis

Mesh:

Year:  2011        PMID: 25133769     DOI: 10.1177/1460458210380524

Source DB:  PubMed          Journal:  Health Informatics J        ISSN: 1460-4582            Impact factor:   2.681


  6 in total

1.  The effect of case rate and coinfection rate on the positive predictive value of a registry data-matching algorithm.

Authors:  Qiang Xia; Sarah L Braunstein; Laura E Stadelmann; Preeti Pathela; Lucia V Torian
Journal:  Public Health Rep       Date:  2014 Jan-Feb       Impact factor: 2.792

2.  Transnational Record Linkage for Tuberculosis Surveillance and Program Evaluation.

Authors:  Kaylynn Aiona; Phillip Lowenthal; John A Painter; Randall Reves; Jennifer Flood; Matthew Parker; Yunxin Fu; Kirsten Wall; Nicholas D Walter
Journal:  Public Health Rep       Date:  2015 Sep-Oct       Impact factor: 2.792

3.  Persistent latent tuberculosis reactivation risk in United States immigrants.

Authors:  Nicholas D Walter; John Painter; Matthew Parker; Phillip Lowenthal; Jennifer Flood; Yunxin Fu; Redentor Asis; Randall Reves
Journal:  Am J Respir Crit Care Med       Date:  2014-01-01       Impact factor: 21.405

4.  Rifampin monoresistant tuberculosis and HIV comorbidity in California, 1993-2008: a retrospective cohort study.

Authors:  Lisa M Prach; Lisa Pascopella; Pennan M Barry; Jennifer Flood; Travis C Porco; Philip C Hopewell; John Z Metcalfe
Journal:  AIDS       Date:  2013-10-23       Impact factor: 4.177

5.  Tuberculosis and HIV co-infection, California, USA, 1993–2008.

Authors:  John Z Metcalfe; Travis C Porco; Janice Westenhouse; Mark Damesyn; Matt Facer; Julia Hill; Qiang Xia; James P Watt; Philip C Hopewell; Jennifer Flood
Journal:  Emerg Infect Dis       Date:  2013-03       Impact factor: 6.883

6.  A new method for assessing how sensitivity and specificity of linkage studies affects estimation.

Authors:  Cecilia L Moore; Janaki Amin; Heather F Gidding; Matthew G Law
Journal:  PLoS One       Date:  2014-07-28       Impact factor: 3.240

  6 in total

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