This study investigates some of the data quality challenges facing the HIV surveillance system in the United States. Using the content analysis method, Center for Disease Control annual HIV surveillance reports (1982-2014) are systematically reviewed and evaluated against relevant data quality metrics from previous literature. Center for Disease Control HIV surveillance system has made several key achievements in the last decade. However, there are several outstanding challenges that need to be addressed. The data are unrepresentative, incomplete, inaccurate, and lacks the required granularity limiting its usage. These shortcomings weaken the country's ability to track, report, and respond to the new HIV epidemiological trends. Furthermore, the problems deter the country from properly identifying and targeting the key subpopulations that need the highest resources by virtue of being at the highest risk of HIV infection. Several recommendations are suggested to address these issues.
Keywords: HIV surveillance systems; accuracy; completeness; content analysis; data quality; granularity; representativeness; systematic review.