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  • 1. Data detectives: uncovering systematic errors Archived
    Articles and reports: 11-522-X20010016237
    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.

    Secondary users of health information often assume that administrative data provides a relatively sound basis for making important planning and policy decisions. If errors are evenly or randomly distributed, this assumption may have little impact on these decisions. However, when information sources contain systematic errors, or when systematic errors are introduced during the creation of master files, this assumption can be damaging.

    The most common systematic errors involve underreporting activities for a specific population; inaccurate re-coding of spatial information; and differences in data entry protocols, which have raised questions about the consistency of data submitted by different tracking agencies. The Central East Health Information Partnership (CEHIP) has identified a number of systematic errors in administrative databases and has documented many of these in reports distributed to partner organizations.

    This paper describes how some of these errors were identified and notes the processes that give rise to the loss of data integrity. The conclusion addresses some of the impacts these problems have for health planners, program managers and policy makers.

    Release date: 2002-09-12
  • 2. Fertility Projections for Canada, Provinces and Territories, 1993-2016 Archived
    Articles and reports: 91F0015M1996001
    Geography: Canada
    Description:

    This paper describes the methodology for fertility projections used in the 1993-based population projections by age and sex for Canada, provinces and territories, 1993-2016. A new version of the parametric model known as the Pearsonian Type III curve was applied for projecting fertility age pattern. The Pearsonian Type III model is considered as an improvement over the Type I used in the past projections. This is because the Type III curve better portrays both the distribution of the age-specific fertility rates and the estimates of births. Since the 1993-based population projections are the first official projections to incorporate the net census undercoverage in the population base, it has been necessary to recalculate fertility rates based on the adjusted population estimates. This recalculation resulted in lowering the historical series of age-specific and total fertility rates, 1971-1993. The three sets of fertility assumptions and projections were developed with these adjusted annual fertility rates.

    It is hoped that this paper will provide valuable information about the technical and analytical aspects of the current fertility projection model. Discussions on the current and future levels and age pattern of fertility in Canada, provinces and territories are also presented in the paper.

    Release date: 1996-08-02
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  • 1. Data detectives: uncovering systematic errors Archived
    Articles and reports: 11-522-X20010016237
    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.

    Secondary users of health information often assume that administrative data provides a relatively sound basis for making important planning and policy decisions. If errors are evenly or randomly distributed, this assumption may have little impact on these decisions. However, when information sources contain systematic errors, or when systematic errors are introduced during the creation of master files, this assumption can be damaging.

    The most common systematic errors involve underreporting activities for a specific population; inaccurate re-coding of spatial information; and differences in data entry protocols, which have raised questions about the consistency of data submitted by different tracking agencies. The Central East Health Information Partnership (CEHIP) has identified a number of systematic errors in administrative databases and has documented many of these in reports distributed to partner organizations.

    This paper describes how some of these errors were identified and notes the processes that give rise to the loss of data integrity. The conclusion addresses some of the impacts these problems have for health planners, program managers and policy makers.

    Release date: 2002-09-12
  • 2. Fertility Projections for Canada, Provinces and Territories, 1993-2016 Archived
    Articles and reports: 91F0015M1996001
    Geography: Canada
    Description:

    This paper describes the methodology for fertility projections used in the 1993-based population projections by age and sex for Canada, provinces and territories, 1993-2016. A new version of the parametric model known as the Pearsonian Type III curve was applied for projecting fertility age pattern. The Pearsonian Type III model is considered as an improvement over the Type I used in the past projections. This is because the Type III curve better portrays both the distribution of the age-specific fertility rates and the estimates of births. Since the 1993-based population projections are the first official projections to incorporate the net census undercoverage in the population base, it has been necessary to recalculate fertility rates based on the adjusted population estimates. This recalculation resulted in lowering the historical series of age-specific and total fertility rates, 1971-1993. The three sets of fertility assumptions and projections were developed with these adjusted annual fertility rates.

    It is hoped that this paper will provide valuable information about the technical and analytical aspects of the current fertility projection model. Discussions on the current and future levels and age pattern of fertility in Canada, provinces and territories are also presented in the paper.

    Release date: 1996-08-02
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