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The 130th Annual Meeting of APHA |
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The 130th Annual Meeting of APHA |
Xiaohong Mao Davis, PhD, NCHSTP/DHAP-IRS/PERB, The Centers for Disease Control and Prevention (CDC), 8 corporate Square Blvd, Mailstop E-59, Atlanta, GA 30329 and Choi K. Wan, PhD, NCHSTP/DHAP-IRS/PERB, The Centers for Disease Control and Prevention, 8 Corporate Blvd, Mailstop E-59, Atlanta, GA 30329, 404-639-1995, xmao@cdc.gov.
The Centers for Disease Control and Prevention (CDC) has been supporting health departments (HDs) and community-based organizations (CBOs) to implement HIV prevention programs since 1985. Evaluation of HIV prevention data is a fundamental process to determine the effectiveness of the implemented programs and support policy-making. Historically, HIV prevention program evaluation data have been captured in different formats and stored throughout different locations. For example, two web-based applications, Evaluation Reporting and Analysis System (ERAS) and CBO reporting system (CBOS), are being developed separately to assist data reporting from HDs and CDC-funded CBOs, respectively. The two applications are not connected to each other even though both share most of the data elements. This situation of having data in different formats stored in different locations makes the tasks of assessing HIV prevention efforts costly, burdensome, and in some cases, impossible. Recent advances in web-based technology make more efficient data collection and information processing possible. A data warehouse for HIV prevention program evaluation is a technological tool that can provide a single information repository that allow integration of evaluation data of various categories, such as funding, policy, and surveillance. By promoting and standardizing web-based tools for data submission from HDs and CBOs, this data warehouse also facilitates process, outcome, and impact evaluation at local and/or national levels. Attendees will learn the functioning of the data warehouse, from data sources, data flow, to security, on-line reports, data analysis, and decision-support. Advantages and disadvantages of the data warehouse will also be discussed.
Learning Objectives:
Keywords: Evaluation, Internet Tools
Presenting author's disclosure statement:
I do not have any significant financial interest/arrangement or affiliation with any organization/institution whose products or services are being discussed in this session.