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  • 1. Application of statistical disclosure methods to the Canadian Hospitals Injury Reporting and Prevention Program Database Archived
    Articles and reports: 11-522-X200600110431
    Description:

    We describe statistical disclosure control methods (SDC) developed for a public release Canadian Hospitals Injury Reporting and Prevention Program (CHIRPP) micro-data file. CHIRPP is a national injury surveillance database managed by the Public Health Agency of Canada (PHAC). After describing CHIRPP, the paper includes a brief overview of basic SDC concepts, as an introduction to the process for selecting and developing the appropriate SDC methods for CHIRPP given its specific challenges and requirements. We then summarize some key results. The paper concludes with a discussion of the implication of this work for the health information field and closing remarks with respect to the some methodological issues for consideration.

    Release date: 2008-03-17
  • 2. The data quality study of the Canadian discharge abstract database Archived
    Articles and reports: 11-522-X20010016282
    Description:

    This paper discusses in detail issues dealing with the technical aspects of designing and conducting surveys. It is intended for an audience of survey methodologists.

    The Discharge Abstract Database (DAD) is one of the key data holdings held by the Canadian Institute for Health Information (CIHI). The institute is a national, not-for-profit organization, which plays a critical role in the development of Canada's health information system. The DAD contains acute care discharge data from most Canadian hospitals. The data generated are essential for determining, for example, the number and types of procedures and the length of hospital stays. CIHI is conducting the first national data quality study of selected clinical and administrative data from the DAD. This study is evaluating and measuring the accuracy of the DAD by returning to the original data sources and comparing this information with what exists in the CIHI database, in order to identify any discrepancies and their associated reasons. This paper describes the DAD data quality study and some preliminary findings. The findings are also briefly compared with another similar study. In conclusion, the paper discusses subsequent steps for the study and how the findings from the first year are contributing to improvements in the quality of the DAD.

    Release date: 2002-09-12
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Articles and reports (2)

Articles and reports (2) ((2 results))

  • 1. Application of statistical disclosure methods to the Canadian Hospitals Injury Reporting and Prevention Program Database Archived
    Articles and reports: 11-522-X200600110431
    Description:

    We describe statistical disclosure control methods (SDC) developed for a public release Canadian Hospitals Injury Reporting and Prevention Program (CHIRPP) micro-data file. CHIRPP is a national injury surveillance database managed by the Public Health Agency of Canada (PHAC). After describing CHIRPP, the paper includes a brief overview of basic SDC concepts, as an introduction to the process for selecting and developing the appropriate SDC methods for CHIRPP given its specific challenges and requirements. We then summarize some key results. The paper concludes with a discussion of the implication of this work for the health information field and closing remarks with respect to the some methodological issues for consideration.

    Release date: 2008-03-17
  • 2. The data quality study of the Canadian discharge abstract database Archived
    Articles and reports: 11-522-X20010016282
    Description:

    This paper discusses in detail issues dealing with the technical aspects of designing and conducting surveys. It is intended for an audience of survey methodologists.

    The Discharge Abstract Database (DAD) is one of the key data holdings held by the Canadian Institute for Health Information (CIHI). The institute is a national, not-for-profit organization, which plays a critical role in the development of Canada's health information system. The DAD contains acute care discharge data from most Canadian hospitals. The data generated are essential for determining, for example, the number and types of procedures and the length of hospital stays. CIHI is conducting the first national data quality study of selected clinical and administrative data from the DAD. This study is evaluating and measuring the accuracy of the DAD by returning to the original data sources and comparing this information with what exists in the CIHI database, in order to identify any discrepancies and their associated reasons. This paper describes the DAD data quality study and some preliminary findings. The findings are also briefly compared with another similar study. In conclusion, the paper discusses subsequent steps for the study and how the findings from the first year are contributing to improvements in the quality of the DAD.

    Release date: 2002-09-12
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