HIV Open Data Project: eHARS - The HIV/AIDS Reporting System, Person Data (ICPSR 34725)
Version Date: May 9, 2016 View help for published
Principal Investigator(s): View help for Principal Investigator(s)
United States Department of Health and Human Services. Centers for Disease Control and Prevention
https://doi.org/10.3886/ICPSR34725.v1
Version V1
This version of the data collection is no longer distributed by ICPSR.
Summary View help for Summary
The Enhanced HIV/AIDS Reporting System (eHARS) is an application for collecting, storing, and retrieving the data the Centers for Disease Control and Prevention (CDC) has identified as necessary to:
- monitor the HIV/AIDS epidemic
- evaluate HIV prevention policies and programs
Monitoring the HIV/AIDS epidemic relies heavily on reports of individual cases of HIV and/or AIDS. HIV/AIDS case surveillance and epidemiologic studies are essential in meeting federal, state, and local needs for targeting and allocating billions of dollars of federal resources, which are distributed based both on the number and characteristics of persons with HIV and/or AIDS. The data collected provide health departments with concrete information regarding the outcome of HIV prevention activities within their jurisdiction.
eHARS encompasses core HIV/AIDS surveillance data activities and projects, and provides tools to assist in the following:
- investigation of potential HIV/AIDS cases
- management of current data
- import and export of data
- transfer of data to CDC
- reporting
- analysis
eHARS gathers information from documents entered or imported into the system and links them to a particular person. Each person, or case, is assigned a system-generated identifier (ehars_uid), and each entered document for that case is linked by the eHARS UID. A system-generated identifier (document_uid) is also assigned to each document in the system, including the summary document (the Person View document) that eHARS automatically creates when the first document is entered for a person. eHARS maintains the Person View document for each case, regenerating the document and calculating certain values, such as diagnostic status, as new documents are added.
eHARS uses a relational database to collect, store, and organize data. A relational database consists of tables linked by unique identifiers common to the tables. A case in eHARS consists of an identifier (typically, ehars_uid or document_uid) linking data stored in many tables. As new data are collected for a case, the case summary-the Person View document-is updated to reflect the current information, but historic data remain in their tables and available for review and analysis.
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Subject Terms View help for Subject Terms
Geographic Coverage View help for Geographic Coverage
Smallest Geographic Unit View help for Smallest Geographic Unit
Census tract
Distributor(s) View help for Distributor(s)
Time Period(s) View help for Time Period(s)
Date of Collection View help for Date of Collection
Time Method View help for Time Method
Universe View help for Universe
HIV/AIDS case surveillance data reported to CDC.
Unit(s) of Observation View help for Unit(s) of Observation
Data Type(s) View help for Data Type(s)
Mode of Data Collection View help for Mode of Data Collection
HideOriginal Release Date View help for Original Release Date
2013-07-08
Version History View help for Version History
2018-02-15 The citation of this study may have changed due to the new version control system that has been implemented. The previous citation was:
- United States Department of Health and Human Services. Centers for Disease Control and Prevention. HIV Open Data Project: eHARS - The HIV/AIDS Reporting System, Person Data. ICPSR34725-v1. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2013-10-03. http://doi.org/10.3886/ICPSR34725.v1
2013-10-03 Documentation is now being included for download with this study. Additionally, xml is being turned over for indexing within the SSVD.
2013-07-08 ICPSR data undergo a confidentiality review and are altered when necessary to limit the risk of disclosure. ICPSR also routinely creates ready-to-go data files along with setups in the major statistical software formats as well as standard codebooks to accompany the data. In addition to these procedures, ICPSR performed the following processing steps for this data collection:
- Created variable labels and/or value labels.
- Checked for undocumented or out-of-range codes.