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Estimating the Cost to U.S. Health Departments to Conduct HIV Surveillance
Authors:Ram K. Shrestha  Stephanie L. Sansom  Benjamin T. Laffoon  Paul G. Farnham  R. Luke Shouse  Karen MacMaster  H. Irene Hall
Affiliation:aCenters for Disease Control and Prevention, National Center for HIV/AIDS, Viral Hepatitis, STD, and TB Prevention, Division of HIV/AIDS Prevention, Atlanta, GA;bMichigan Department of Community Health, Lansing, MI
Abstract:

Objectives

HIV case surveillance is a primary source of information for monitoring HIV burden in the United States and guiding the allocation of prevention and treatment funds. While the number of people living with HIV and the need for surveillance data have increased, little is known about the cost of surveillance. We estimated the economic cost to health departments of conducting high-quality HIV case surveillance.

Methods

We collected primary data on the unit cost and quantity of resources used to operate the HIV case surveillance program in Michigan, where HIV burden (i.e., the number of HIV cases) is moderate to high (n=14,864 cases). Based on Michigan''s data, we projected the expected annual HIV surveillance cost for U.S., state, local, and territorial health departments. We based our cost projection on the variation in the number of new and established cases, area-specific wages, and potential economies of scale.

Results

We estimated the annual total HIV surveillance cost to the Michigan health department to be $1,286,524 ($87/case), the annual total cost of new cases to be $108,657 ($133/case), and the annual total cost of established cases to be $1,177,867 ($84/case). Our projected median annual HIV surveillance cost per health department ranged from $210,600 in low-HIV burden sites to $1,835,000 in high-HIV burden sites.

Conclusions

Our analysis shows that a systematic approach to costing HIV surveillance at the health department level is feasible. For HIV surveillance, a substantial portion of total surveillance costs is attributable to maintaining established cases.An estimated 1.2 million people aged 13 years and older are living with human immunodeficiency virus (HIV) in the United States, and about 47,500 people are infected with the virus each year.1,2 A recent HIV surveillance report shows that the number of people living with HIV increased by 8% from 2006 through 2009.3 The U.S. Centers for Disease Control and Prevention (CDC) has developed an HIV surveillance system for collecting, analyzing, and disseminating accurate information on the number of people with new HIV diagnoses (new cases) and those living with HIV infection (established cases).4,5 Access to timely and high-quality surveillance data is essential to detect trends in the HIV burden and develop appropriate prevention and control measures.4,6,7 The U.S. Department of Health and Human Services has closely aligned the $16 billion it spent in 2010 on HIV care, treatment, and prevention with the number of reported HIV cases in each state.8 HIV case surveillance additionally guides the implementation of test-and-treat prevention strategies that require data on timing of diagnosis, entry into and retention in care, and viral load (VL) suppression.810 The Institute of Medicine recently identified HIV case surveillance as one of the data collection systems that could be used to monitor progress in achieving National HIV/AIDS Strategy goals.11,12The purpose of this analysis was to estimate the economic cost to health departments to conduct high-quality HIV case surveillance, where high quality is defined as meeting or exceeding CDC data quality standards regarding the completeness and timeliness of reporting diagnosed HIV cases and ascertaining duplicate cases and deaths.6,7 We examined potential variation in costs across health departments based on differences in the number of new vs. established HIV cases, area-specific wages, and potential economies of scale. Results from the analysis could help inform surveillance funding allocation across health departments and enable health departments to more accurately assess their own costs attributable to new and established HIV cases.
Keywords:
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