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Administrative and surveillance data are used frequently in healthcare epidemiology and antimicrobial stewardship (HE&AS) research because of their wide availability and efficiency. However, data quality issues exist, requiring careful consideration and potential validation of data. This methods paper presents key considerations for using administrative and surveillance data in HE&AS, including types of data available and potential use, data limitations, and the importance of validation. After discussing these issues, we review examples of HE&AS research using administrative data with a focus on scenarios when their use may be advantageous. A checklist is provided to help aid study development in HE&AS using administrative data.
In 2010, the World Bank and the Department for International Development (DFID) funded and orchestrated an initiative to develop a tool to monitor corruption performance in Uganda on an ongoing basis. By basing operations in a local university-based research center and engaging the Inspectorate General of Government to manage the project, the tool is becoming the responsibility of national stakeholders, including the government. The local university research center is working with government to improve government collection of sectoral and functional anti-corruption data. In addition, evidence-based international corruption data has been incorporated into the public discussion on corruption. Donors continue to play an important role – funding the project launch, and providing ongoing guidance and support to engage executive agencies, Parliament, NGOs, and the media. The project has had some positive and unexpected results. While the project remains in early stages, there are signs that this gradual, data-driven approach is deepening the public dialogue on corruption and creating an important consensus for anti-corruption reform.
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