Document Detail


Assessing the completeness of reporting of human immunodeficiency virus diagnoses in 2002-2003: capture-recapture methods.
MedLine Citation:
PMID:  16772373     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
To determine the completeness of reporting of human immunodeficiency virus (HIV) diagnoses to state surveillance systems, the authors used capture-recapture methods. The numbers of cases diagnosed in the areas were estimated using HIV diagnoses reported to nine surveillance programs by different sources (e.g., laboratories, health-care providers). To account for dependencies between reporting sources, the authors used log-linear models to estimate the number of cases that had been diagnosed but were not identified by any reporting sources. Completeness of reporting (observed cases/expected cases) was determined for two time frames: cases diagnosed within a 1-year period (from October 1, 2002, to September 30, 2003, for most US states) reported up to 6 months after that diagnosis period and cases diagnosed within a 6-month period reported up to 12 months after that diagnosis period. A total of 11,266 HIV diagnoses were reported for the 1-year period with 21,589 report documents. Completeness of reporting of HIV diagnoses was 76% (95% confidence interval: 66, 83) when allowing 6 months of reporting delay (range: 72-95%) and improved to 81% (95% confidence interval: 72, 88) with 12 months' follow-up. When reporting systems retain all relevant documents, capture-recapture is a feasible approach for assessing completeness of reporting of HIV diagnoses. Completeness should be measured by allowing 12-months' reporting delay.
Authors:
H Irene Hall; Ruiguang Song; John E Gerstle; Lisa M Lee;
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Publication Detail:
Type:  Journal Article     Date:  2006-06-13
Journal Detail:
Title:  American journal of epidemiology     Volume:  164     ISSN:  0002-9262     ISO Abbreviation:  Am. J. Epidemiol.     Publication Date:  2006 Aug 
Date Detail:
Created Date:  2006-08-02     Completed Date:  2006-09-15     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  7910653     Medline TA:  Am J Epidemiol     Country:  United States    
Other Details:
Languages:  eng     Pagination:  391-7     Citation Subset:  IM    
Affiliation:
Division of HIV/AIDS Prevention, National Center for HIV, STD, and TB Prevention, Centers for Disease Control and Prevention, Atlanta, GA 30333. ixh1@cdc.gov
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MeSH Terms
Descriptor/Qualifier:
Data Collection
Disease Notification / methods*,  statistics & numerical data*
HIV Infections / epidemiology*
Humans
Pilot Projects
Population Surveillance / methods*
Registries / statistics & numerical data
Research Design

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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