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- 1. Hospital separations: identification of records for use in tabulating national injury data ArchivedArticles and reports: 11-522-X200600110448Description:
Approaches used to select records for tabulation of national injury hospitalization data were identified. Three of the approaches were based on the principal diagnosis in the hospital separation record; the other three required that the record contain a code for an external cause of injury. Differences within these two main groups resulted in identification of six distinct approaches. Each approach was applied to the same set of hospital separation data. The numbers and types of injury records retrieved with the six approaches are compared and implications of the findings for injury surveillance are discussed.
Release date: 2008-03-17 - Articles and reports: 11-522-X20010016282Description:
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 - Articles and reports: 11-522-X20010016284Description:
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.
Since 1965, the National Center for Health Statistics has conducted the National Hospital Discharge Survey (NHDS), a national probability sample survey of discharges from non-federal, short-stay and general hospitals. A major aspect of the NHDS redesign in 1988 was to use electronic data from abstracting service organizations and state data systems. This paper presents an overview of the development of the NHDS and the 1988 redesign. Survey methodologies are reviewed in light of the data collection and processing issues arising from the combination of "manually" abstracted data and "automated" data. Methods for assessing the overall quality and accuracy of the NHDS data are discussed for both data collection modes. These methods include procedures to ensure that incoming data meet established standards and that abstracted data are processed and coded according to strict quality control procedures. These procedures are presented in the context of issues and findings from the broader literature about the quality of hospital administrative data sets.
Release date: 2002-09-12
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- 1. Hospital separations: identification of records for use in tabulating national injury data ArchivedArticles and reports: 11-522-X200600110448Description:
Approaches used to select records for tabulation of national injury hospitalization data were identified. Three of the approaches were based on the principal diagnosis in the hospital separation record; the other three required that the record contain a code for an external cause of injury. Differences within these two main groups resulted in identification of six distinct approaches. Each approach was applied to the same set of hospital separation data. The numbers and types of injury records retrieved with the six approaches are compared and implications of the findings for injury surveillance are discussed.
Release date: 2008-03-17 - Articles and reports: 11-522-X20010016282Description:
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 - Articles and reports: 11-522-X20010016284Description:
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.
Since 1965, the National Center for Health Statistics has conducted the National Hospital Discharge Survey (NHDS), a national probability sample survey of discharges from non-federal, short-stay and general hospitals. A major aspect of the NHDS redesign in 1988 was to use electronic data from abstracting service organizations and state data systems. This paper presents an overview of the development of the NHDS and the 1988 redesign. Survey methodologies are reviewed in light of the data collection and processing issues arising from the combination of "manually" abstracted data and "automated" data. Methods for assessing the overall quality and accuracy of the NHDS data are discussed for both data collection modes. These methods include procedures to ensure that incoming data meet established standards and that abstracted data are processed and coded according to strict quality control procedures. These procedures are presented in the context of issues and findings from the broader literature about the quality of hospital administrative data sets.
Release date: 2002-09-12
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