Practical Considerations for Matching STD and HIV Surveillance Data with Data from other Sources

Newman, Lori M.; Samuel, Michael C.; Stenger, Mark; Gerber, Todd; Macomber, Kathryn; Stover, Jeffrey A.; Wise, Wendy

doi:10.1177/00333549091240s203

Cited by 16 publications

(8 citation statements)

References 11 publications

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“…Additionally, this analysis reinforces the importance of disease surveillance and provides replicable methods that can be used by other jurisdictions to better understand the local epidemiology of viral hepatitis infection in PLWHA. Matching surveillance databases is an effective and cost-effective method for health departments to determine the burden of co-infection and populations at risk for infection with multiple diseases in their jurisdiction and work with community providers on primary and secondary prevention activities [38, 39].…”

Section: Discussionmentioning

confidence: 99%

HIV and viral hepatitis co-infection in New York City, 2000–2010: prevalence and case characteristics

et al. 2014

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Using surveillance data, we describe the prevalence and characteristics of individuals in New York City (NYC) co-infected with human immunodeficiency virus (HIV) and hepatitis B virus (HBV) and/or hepatitis C virus (HCV). Surveillance databases including persons reported to the NYC Department of Health and Mental Hygiene with HIV, HBV, and HCV by 31 December 2010 and not known to be dead as of 1 January 2000, were matched with 2000-2011 vital statistics mortality data. Of 140 606 persons reported with HIV, 4% were co-infected with HBV only, 15% were co-infected with HCV only, and 1% were co-infected with HBV and HCV. In all groups, 70-80% were male. The most common race/ethnicity and HIV transmission risk groups were non-Hispanic blacks and men who have sex with men (MSM) for HIV/HBV infection, and non-Hispanic blacks, Hispanics, and injection drug users for HIV/HCV and HIV/HBV/HCV infections. The overall age-adjusted 2000-2011 mortality was higher in co-infected than HIV mono-infected individuals. Use of population-based surveillance data provided a comprehensive characterization of HIV co-infection with HBV and HCV. Our findings emphasize the importance of targeting HIV and viral hepatitis testing and prevention efforts to populations at risk for co-infection, and of integrating HIV and viral hepatitis care and testing services.

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Section: Discussionmentioning

confidence: 99%

HIV and viral hepatitis co-infection in New York City, 2000–2010: prevalence and case characteristics

et al. 2014

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“…Other challenges to integration include technical issues, such as how to match cases on an individual level when identifiers do not match exactly. 16 For most programs, increasing integration will require resources, including time to develop compatible systems or to cross-match information from different datasets. There is also a risk of losing appropriate focus for individual diseases.…”

Section: Discussionmentioning

confidence: 99%

Integration of Surveillance for STDs, HIV, Hepatitis, and TB: A Survey of U.S. STD Control Programs

et al. 2009

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Most STD control programs in the United States have some experience integrating surveillance data, but the degree of integration varies widely. Specific barriers to further integration were identified. The Centers for Disease Control and Prevention can help address these barriers by facilitating access to information and sharing technical solutions. Local and state programs can continue advancing surveillance integration by improving understanding of where integrated data are needed, increasing the use of available data, and pressing for appropriate and secure data sharing.

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“…All GCs diagnosed in each of the 4 sites for the period January 1, 2000, to December 31, 2008, were collected from STD data registries and matched to their local HIV registries. Each site independently performed a deterministic match 13 of its HIV and STD registries using a combination of variables including first name, last name, date of birth, and gender. After exact matches were accepted, potential matches were reviewed manually using additional variables that varied by site.…”

Section: Methodsmentioning

confidence: 99%

Gonorrhea Infections Diagnosed Among Persons Living With HIV/AIDS

Taylor

Schillinger

Furness

et al. 2013

JAIDS Journal of Acquired Immune Deficiency Syndromes

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: Persons living with HIV/AIDS who acquire new sexually transmitted diseases (STDs) pose a risk for enhanced transmission of both HIV and STDs. To describe the frequency of HIV coinfection among gonorrhea cases (GC), HIV and GC surveillance databases (2000-2008) were cross-matched in New York City (NYC), Washington, DC (DC), Miami/Dade County (MDC), and Arizona (AZ). During 2000-2008, 4.6% (9471/205,689) of reported GCs occurred among persons with previously diagnosed HIV: NYC (5.5%), DC (7.3%), MDC (4%), and AZ (2%). The overall HIV-GC coinfection rates increased over the study period in all 4 sites. Real-time data integration could allow for enhanced prevention among persons with HIV infection and acute STDs.

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Practical Considerations for Matching STD and HIV Surveillance Data with Data from other Sources

Cited by 16 publications

References 11 publications

HIV and viral hepatitis co-infection in New York City, 2000–2010: prevalence and case characteristics

HIV and viral hepatitis co-infection in New York City, 2000–2010: prevalence and case characteristics

Integration of Surveillance for STDs, HIV, Hepatitis, and TB: A Survey of U.S. STD Control Programs

Gonorrhea Infections Diagnosed Among Persons Living With HIV/AIDS

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