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All (14)

All (14) (0 to 10 of 14 results)

  • Articles and reports: 82-003-X202100600002
    Description:

    This study aims to measure cancer incidence and mortality rates of Registered First Nations people in Ontario and to look at trends over time, particularly in cancer rates that are targeted by screening programs (cervical, breast, colorectal) or public health interventions (smoking). The federal Indian Register, the Ontario Cancer Registry and the Registered Persons Database were linked to develop a cohort of First Nations people diagnosed with cancer in Ontario.

    Release date: 2021-06-16

  • Articles and reports: 82-003-X201801200003
    Description:

    This study presents cancer incidence by stage at diagnosis for the top four cancers, using data from the Canadian Cancer Registry for the combined period of 2011 to 2015.

    Release date: 2018-12-19

  • Articles and reports: 82-622-X2015009
    Description:

    The Canadian Cancer Registry (CCR) represents a collaborative effort between Statistics Canada and the thirteen provincial and territorial cancer registries to create a single database to report annually on cancer incidence and survival at the national and jurisdictional level. While gains have been made to ensure high quality, standardized, and comparable data, the CCR currently lacks information on cancer treatment. The Canadian Council of Cancer Registries (CCCR) identified the need to capture treatment data at the national level as a key strategic priority for 2013/2014. Record linkage was identified as one possible approach to fill this information gap.

    The purpose of this study is to examine the feasibility of using record linkage to add cancer treatment information for selected cancers: breast, colorectal and prostate. The objectives are twofold: to assess the quality of the linkage processes and the validity of using linked data to estimate cancer treatment rates at the provincial level. The study is based on the Canadian Cancer Registry (2005 to 2008) linked to the Discharge Abstract Database (DAD) and the National Ambulatory Care Reporting System (NACRS) for four provinces (Ontario, Manitoba, Nova Scotia and Prince Edward Island). The linkage was proposed by Statistics Canada, the CCCR and the Canadian Institute for Health Information (CIHI). The linkage was approved and conducted at Statistics Canada.

    Release date: 2015-11-23

  • Articles and reports: 82-003-X201500614196
    Description:

    This study investigates the feasibility and validity of using personal health insurance numbers to deterministically link the CCR and the Discharge Abstract Database to obtain hospitalization information about people with primary cancers.

    Release date: 2015-06-17

  • Articles and reports: 82-003-X201500414157
    Description:

    Using an ecological approach, this analysis estimates the incidence of colorectal cancer for the 1998-to-2009 period among the Aboriginal identity population of Ontario and among First Nations people living on Indian reserves in Ontario.

    Release date: 2015-04-15

  • Articles and reports: 82-624-X201100111596
    Geography: Canada
    Description:

    This article is an overview of the four most commonly diagnosed types of cancer in Canada. Data are from the 1992 to 2007 Canadian Cancer Registry (CCR). The focus is on basic trends over time, as well as age and sex differences regarding incidence rates, survival and mortality.

    Release date: 2011-12-07

  • Articles and reports: 82-003-X200900310874
    Geography: Canada
    Description:

    This article provides estimates of the reported level of colorectal cancer testing in the Canadian population aged 50 or older in 2008.

    Release date: 2009-06-30

  • Articles and reports: 82-003-X200900110800
    Geography: Canada
    Description:

    This article provides more precise and detailed estimates of cancer prevalence than have been available previously.

    Release date: 2009-03-18

  • Articles and reports: 82-003-X20050029193
    Geography: Canada
    Description:

    This period analysis provides Canadian predictions of the short- and long-term relative survival of people recently diagnosed with cancer. Long-term period and cohort-based estimates are also compared.

    Release date: 2006-05-05

  • Articles and reports: 12-001-X20050018088
    Description:

    When administrative records are geographically linked to census block groups, local-area characteristics from the census can be used as contextual variables, which may be useful supplements to variables that are not directly observable from the administrative records. Often databases contain records that have insufficient address information to permit geographical links with census block groups; the contextual variables for these records are therefore unobserved. We propose a new method that uses information from "matched cases" and multivariate regression models to create multiple imputations for the unobserved variables. Our method outperformed alternative methods in simulation evaluations using census data, and was applied to the dataset for a study on treatment patterns for colorectal cancer patients.

    Release date: 2005-07-21
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Analysis (14)

Analysis (14) (0 to 10 of 14 results)

  • Articles and reports: 82-003-X202100600002
    Description:

    This study aims to measure cancer incidence and mortality rates of Registered First Nations people in Ontario and to look at trends over time, particularly in cancer rates that are targeted by screening programs (cervical, breast, colorectal) or public health interventions (smoking). The federal Indian Register, the Ontario Cancer Registry and the Registered Persons Database were linked to develop a cohort of First Nations people diagnosed with cancer in Ontario.

    Release date: 2021-06-16

  • Articles and reports: 82-003-X201801200003
    Description:

    This study presents cancer incidence by stage at diagnosis for the top four cancers, using data from the Canadian Cancer Registry for the combined period of 2011 to 2015.

    Release date: 2018-12-19

  • Articles and reports: 82-622-X2015009
    Description:

    The Canadian Cancer Registry (CCR) represents a collaborative effort between Statistics Canada and the thirteen provincial and territorial cancer registries to create a single database to report annually on cancer incidence and survival at the national and jurisdictional level. While gains have been made to ensure high quality, standardized, and comparable data, the CCR currently lacks information on cancer treatment. The Canadian Council of Cancer Registries (CCCR) identified the need to capture treatment data at the national level as a key strategic priority for 2013/2014. Record linkage was identified as one possible approach to fill this information gap.

    The purpose of this study is to examine the feasibility of using record linkage to add cancer treatment information for selected cancers: breast, colorectal and prostate. The objectives are twofold: to assess the quality of the linkage processes and the validity of using linked data to estimate cancer treatment rates at the provincial level. The study is based on the Canadian Cancer Registry (2005 to 2008) linked to the Discharge Abstract Database (DAD) and the National Ambulatory Care Reporting System (NACRS) for four provinces (Ontario, Manitoba, Nova Scotia and Prince Edward Island). The linkage was proposed by Statistics Canada, the CCCR and the Canadian Institute for Health Information (CIHI). The linkage was approved and conducted at Statistics Canada.

    Release date: 2015-11-23

  • Articles and reports: 82-003-X201500614196
    Description:

    This study investigates the feasibility and validity of using personal health insurance numbers to deterministically link the CCR and the Discharge Abstract Database to obtain hospitalization information about people with primary cancers.

    Release date: 2015-06-17

  • Articles and reports: 82-003-X201500414157
    Description:

    Using an ecological approach, this analysis estimates the incidence of colorectal cancer for the 1998-to-2009 period among the Aboriginal identity population of Ontario and among First Nations people living on Indian reserves in Ontario.

    Release date: 2015-04-15

  • Articles and reports: 82-624-X201100111596
    Geography: Canada
    Description:

    This article is an overview of the four most commonly diagnosed types of cancer in Canada. Data are from the 1992 to 2007 Canadian Cancer Registry (CCR). The focus is on basic trends over time, as well as age and sex differences regarding incidence rates, survival and mortality.

    Release date: 2011-12-07

  • Articles and reports: 82-003-X200900310874
    Geography: Canada
    Description:

    This article provides estimates of the reported level of colorectal cancer testing in the Canadian population aged 50 or older in 2008.

    Release date: 2009-06-30

  • Articles and reports: 82-003-X200900110800
    Geography: Canada
    Description:

    This article provides more precise and detailed estimates of cancer prevalence than have been available previously.

    Release date: 2009-03-18

  • Articles and reports: 82-003-X20050029193
    Geography: Canada
    Description:

    This period analysis provides Canadian predictions of the short- and long-term relative survival of people recently diagnosed with cancer. Long-term period and cohort-based estimates are also compared.

    Release date: 2006-05-05

  • Articles and reports: 12-001-X20050018088
    Description:

    When administrative records are geographically linked to census block groups, local-area characteristics from the census can be used as contextual variables, which may be useful supplements to variables that are not directly observable from the administrative records. Often databases contain records that have insufficient address information to permit geographical links with census block groups; the contextual variables for these records are therefore unobserved. We propose a new method that uses information from "matched cases" and multivariate regression models to create multiple imputations for the unobserved variables. Our method outperformed alternative methods in simulation evaluations using census data, and was applied to the dataset for a study on treatment patterns for colorectal cancer patients.

    Release date: 2005-07-21
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