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South Africa Data Warehouse for PEPFAR

South Africa Data Warehouse for PEPFAR. Presented by: Michael Ogawa Khulisa Management Services mogawa@khulisa.com 011-447-6464. Context. PEPFAR South Africa USG-funded Over 100 implementing partners, many with multiple sites Need to monitor up to 80 indicators twice a year

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South Africa Data Warehouse for PEPFAR

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  1. South Africa Data Warehouse for PEPFAR Presented by: Michael Ogawa Khulisa Management Services mogawa@khulisa.com 011-447-6464

  2. Context • PEPFAR South Africa • USG-funded • Over 100 implementing partners, many with multiple sites • Need to monitor up to 80 indicators twice a year • 2008 Targets for SA • Prevent 1.75m HIV infections • Treat 500,000 AIDS patients • Care for 2.5m OVCs & HIV infected individuals

  3. Monitoring and Evaluation • M&E provides strategic information to USG and implementing partners to: • Plan and monitor programs; • Document and report on progress; and • Ensure that resources are used effectively and efficiently

  4. Challenges • SA PEPFAR program has a large number of partners who need to report and plan • Reporting burden on USG • MS Word and MS Excel templates were historically used for capturing reports and annual plans • Office of The US Global AIDS Coordinator (OGAC) regularly makes changes to the PEPFAR indicator model • Access to the Internet varies among partners

  5. SHARING Website • Secure web portal for accessing: • Web-based forms for reporting and planning templates • Indicator definition guides • Data extracts (CSV files) • Adjustment tool to eliminate double counts • User administration • Budget/target grids

  6. Solutions • Web-based data warehouse designed using Open Source software • Only Internet browser software required • Data warehouse can be accessed from anywhere in the world (some partners have parent organizations outside of SA) • Forms are database generated • RTF downloads (paper forms) • HTML interface (web forms) • “Live” extracts for reporting indicators • Reduced reporting burden for USG • Content Management System • Indicator definitions • Track changes for planning

  7. Solutions • Speeding up web page loading • Web page data are compressed before upload • Data for a web page is separated so that formatting information is not repeated • One file contains formatting information • Second file contains data that needs to be formatted • Asynchronous saving of data • Users can carry on capturing data while the save for a previous page is being processed • Users do not have to wait for new form pages to load

  8. Data Warehouse Approach • On Line Analytical Processing (OLAP) • Measures • Numeric facts (e.g. No. of condoms distributed) • Dimensions • Categories under which measures can be grouped (e.g. Gender, age, etc.) • OLAP Cubes • OLAP cubes allow users to quickly retrieve queries and reports on summary data for the organization • The summary information being retrieved typically aggregates detailed transactions at a lower level • The aggregated totals stored in the OLAP cube can represent thousands of rows of transactions within the data source from which it originates

  9. Data Quality Improvements • Input data is checked on client side (cannot enter non-numeric data into a numeric field) • Full transactional audit history • Data must be verified before it is submitted • Forms locked after submission • Forms can be invalidated for changes by partners • Double count adjustment tool adjusts aggregate total but does not adjust partner data • System designed to capture down to site level (source data) and at monthly periods

  10. Future Features: Pivot Table/Cube Viewer

  11. Future Features: Online Mapping

  12. Future Features • Electronic transfer of data • From partner systems to data warehouse • From data warehouse to USG system in Washington and SA health information systems • Offline data capture • Customizable indicators/dimensions for partners • Workflow

  13. Lessons Learned • If time is available, understand your user base • Web capturing interface = paper form • Data warehouse needs to move beyond its current role as a one-way conduit for USG results reporting • Need to improve data utilization tools for complex, analyses and basic, menu-driven reports, graphs and maps • Need more features (RSS feeds, warehouse more health data sources, etc.) to bring users to the website on a regular basis

  14. Questions and Answers

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