Data quality shortcomings with the US HIV/AIDS surveillance system.

Abstract:

: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.

journal_name

Health Informatics J

authors

Ngugi BK,Harrington B,Porcher EN,Wamai RG

doi

10.1177/1460458217706183

subject

Has Abstract

pub_date

2019-06-01 00:00:00

pages

304-314

issue

2

eissn

1460-4582

issn

1741-2811

journal_volume

25

pub_type

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