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  • Articles and reports: 11-522-X200600110402
    Description:

    This paper explains how to append census area-level summary data to survey or administrative data. It uses examples from survey datasets present in Statistics Canada Research Data Centres, but the methods also apply to external datasets, including administrative datasets. Four examples illustrate common situations faced by researchers: (1) when the survey (or administrative) and census data both contain the same level of geographic identifiers, coded to the same year standard ("vintage") of census geography (for example, if both have 2001 DA); (2) when the two files contain geographic identifiers of the same vintage, but at different levels of census geography (for example, 1996 EA in the survey, but 1996 CT in the census data); (3) when the two files contain data coded to different vintages of census geography (such as 1996 EA for the survey, but 2001 DA for the census); (4) when the survey data are lacking in geographic identifiers, and those identifiers must first be generated from postal codes present on the file. The examples are shown using SAS syntax, but the principles apply to other programming languages or statistical packages.

    Release date: 2008-03-17

  • Articles and reports: 11-522-X200600110403
    Description:

    This paper reports research to introduce model-assisted estimation into the American Community Survey (ACS), a large-scale ongoing survey intended to replace the long-form sample in the U.S. decennial censuses. The proposed application integrates information from administrative records into ACS estimation. The approach to model-assisted estimation restricts the use of the administrative records to adjustments to the survey weights, while retaining the data on characteristics reported by respondents in the ACS. Although the ACS is a general-purpose survey not specifically tied to health, this case study may suggest possible methodological applications in areas of health statistics.

    Release date: 2008-03-17

  • Articles and reports: 11-522-X200600110404
    Description:

    Pursuing reduction in cost and response burden in survey programs has led to increased use of information available in administrative databases. Linkages between these two data sources is a way to exploit their complementary nature and maximize their respective usefulness. This paper discusses the various ways we have performed record linkage between the Canadian Community Health Survey (CCHS) and the Health Person-Oriented Information (HPOI) databases. The files resulting from selected linkage methods are used in an analysis of risk factors for having been hospitalized for heart disease. The sensitivity of the analysis with respect to the various linkage approaches is investigated.

    Release date: 2008-03-17

  • Articles and reports: 11-522-X200600110449
    Description:

    Traditionally administrative hospital discharge databases have been mainly used for administrative purposes. Recently, health services researchers and population health researchers have been using the databases for a wide variety of studies; in particular health care outcomes. Tools, such as comorbidity indexes, have been developed to facilitate this analysis. Every time the coding system for diagnoses and procedures is revised or a new one is developed, these comorbidity indexes need to be updated. These updates are important in maintaining consistency when trends are examined over time.

    Release date: 2008-03-17

  • Articles and reports: 11-522-X200600110452
    Geography: Canada, Province or territory
    Description:

    Accurate information about the timing of access to primary mental health care is critically important in order to identify potentially modifiable factors which could facilitate timely and on-going management of care. No "gold standard" measure of mental health care utilization exists, so it useful to know how strengths, gaps, and limitations in different data sources influence study results. This study compares two population-wide measures of primary mental health care utilization data: the Canadian Community Health Survey of Mental Health and Well-being (CCHS, cycle 1.2) and provincial health insurance records in the province of British Columbia. It explores four questions: (1) Is 12-month prevalence of contacts with general practitioners for mental heath issues the same regardless of whether survey data or administrative data are used? (2) What is the level of agreement between the survey data and administrative data for having had any contact with a general practitioner for mental heath issues during the 12 month period before the survey interview? (3) Is the level of agreement constant throughout the 12-month period or does it decline over more distant sub-timeframes within the 12-month period? (4) What kinds of respondent characteristics, including mental disorders, are associated with agreement or lack of agreement? The results of this study will provide useful information about how to use and interpret each measure of health care utilization. In addition, it will contribute to survey design research, and to research which aims to improve the methods for using administrative data for mental health services research.

    Release date: 2008-03-17
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  • Articles and reports: 11-522-X200600110402
    Description:

    This paper explains how to append census area-level summary data to survey or administrative data. It uses examples from survey datasets present in Statistics Canada Research Data Centres, but the methods also apply to external datasets, including administrative datasets. Four examples illustrate common situations faced by researchers: (1) when the survey (or administrative) and census data both contain the same level of geographic identifiers, coded to the same year standard ("vintage") of census geography (for example, if both have 2001 DA); (2) when the two files contain geographic identifiers of the same vintage, but at different levels of census geography (for example, 1996 EA in the survey, but 1996 CT in the census data); (3) when the two files contain data coded to different vintages of census geography (such as 1996 EA for the survey, but 2001 DA for the census); (4) when the survey data are lacking in geographic identifiers, and those identifiers must first be generated from postal codes present on the file. The examples are shown using SAS syntax, but the principles apply to other programming languages or statistical packages.

    Release date: 2008-03-17

  • Articles and reports: 11-522-X200600110403
    Description:

    This paper reports research to introduce model-assisted estimation into the American Community Survey (ACS), a large-scale ongoing survey intended to replace the long-form sample in the U.S. decennial censuses. The proposed application integrates information from administrative records into ACS estimation. The approach to model-assisted estimation restricts the use of the administrative records to adjustments to the survey weights, while retaining the data on characteristics reported by respondents in the ACS. Although the ACS is a general-purpose survey not specifically tied to health, this case study may suggest possible methodological applications in areas of health statistics.

    Release date: 2008-03-17

  • Articles and reports: 11-522-X200600110404
    Description:

    Pursuing reduction in cost and response burden in survey programs has led to increased use of information available in administrative databases. Linkages between these two data sources is a way to exploit their complementary nature and maximize their respective usefulness. This paper discusses the various ways we have performed record linkage between the Canadian Community Health Survey (CCHS) and the Health Person-Oriented Information (HPOI) databases. The files resulting from selected linkage methods are used in an analysis of risk factors for having been hospitalized for heart disease. The sensitivity of the analysis with respect to the various linkage approaches is investigated.

    Release date: 2008-03-17

  • Articles and reports: 11-522-X200600110449
    Description:

    Traditionally administrative hospital discharge databases have been mainly used for administrative purposes. Recently, health services researchers and population health researchers have been using the databases for a wide variety of studies; in particular health care outcomes. Tools, such as comorbidity indexes, have been developed to facilitate this analysis. Every time the coding system for diagnoses and procedures is revised or a new one is developed, these comorbidity indexes need to be updated. These updates are important in maintaining consistency when trends are examined over time.

    Release date: 2008-03-17

  • Articles and reports: 11-522-X200600110452
    Geography: Canada, Province or territory
    Description:

    Accurate information about the timing of access to primary mental health care is critically important in order to identify potentially modifiable factors which could facilitate timely and on-going management of care. No "gold standard" measure of mental health care utilization exists, so it useful to know how strengths, gaps, and limitations in different data sources influence study results. This study compares two population-wide measures of primary mental health care utilization data: the Canadian Community Health Survey of Mental Health and Well-being (CCHS, cycle 1.2) and provincial health insurance records in the province of British Columbia. It explores four questions: (1) Is 12-month prevalence of contacts with general practitioners for mental heath issues the same regardless of whether survey data or administrative data are used? (2) What is the level of agreement between the survey data and administrative data for having had any contact with a general practitioner for mental heath issues during the 12 month period before the survey interview? (3) Is the level of agreement constant throughout the 12-month period or does it decline over more distant sub-timeframes within the 12-month period? (4) What kinds of respondent characteristics, including mental disorders, are associated with agreement or lack of agreement? The results of this study will provide useful information about how to use and interpret each measure of health care utilization. In addition, it will contribute to survey design research, and to research which aims to improve the methods for using administrative data for mental health services research.

    Release date: 2008-03-17
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