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- Canadian Community Health Survey - Annual Component (58)
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Results
All (206)
All (206) (0 to 10 of 206 results)
- Stats in brief: 11-001-X202429738387Description: Release published in The Daily – Statistics Canada’s official release bulletinRelease date: 2024-10-23
- Journals and periodicals: 82-003-XGeography: CanadaDescription:
Health Reports, published by the Health Analysis Division of Statistics Canada, is a peer-reviewed journal of population health and health services research. It is designed for a broad audience that includes health professionals, researchers, policymakers, and the general public. The journal publishes articles of wide interest that contain original and timely analyses of national or provincial/territorial surveys or administrative databases. New articles are published electronically each month.
Health Reports had an impact factor of 5.0 for 2022 and a five-year impact factor of 5.6. All articles are indexed in PubMed. Our online catalogue is free and receives more than 700,000 visits per year. External submissions are welcome.Release date: 2024-10-16 - Journals and periodicals: 82-625-XGeography: CanadaDescription: Health fact sheets will include short, focused, single-theme analysis documents. Over the course of the series, analysis will include topics on: Health conditions, lifestyle, well-being, disability, prevention and detection of disease, deaths, pregnancy and birth, health care services and environmental factors.Release date: 2024-10-10
- Stats in brief: 11-001-X202427738344Description: Release published in The Daily – Statistics Canada’s official release bulletinRelease date: 2024-10-03
- Table: 13-10-0880-01Frequency: AnnualDescription: Percentage of persons for selected health indicators, by visible minority and selected sociodemographic characteristics (age group, gender or immigrant status) for the population aged 18 and older in the ten provinces. Data is available for Canada (excluding territories). A similar table with a geographical breakdown by region is available in table 13-10-0881.Release date: 2024-10-02
- Table: 13-10-0881-01Geography: Geographical region of CanadaFrequency: AnnualDescription: Percentage of persons for selected health indicators, by visible minority and selected sociodemographic characteristics (age group, gender or immigrant status) for the population aged 18 and older in the ten provinces. Data is available for Canada (excluding territories). A similar table with a geographical breakdown by region is available in table 13-10-0880.Release date: 2024-10-02
- Table: 13-10-0905-01Geography: Province or territoryFrequency: OccasionalDescription: Health indicator statistics, annual estimates, by age group and sex, Canada (excluding territories) and provinces.Release date: 2024-10-02
- Table: 13-10-0906-01Geography: Province or territoryFrequency: OccasionalDescription: Health indicator statistics, annual estimates, by household income quintile and highest level of education, Canada (excluding territories) and provinces.Release date: 2024-10-02
- Table: 41-10-0080-01Geography: Canada, Geographical region of Canada, Province or territoryFrequency: OccasionalDescription: General health and mental health by housing situation, First Nations people living off reserve, Métis and Inuit, age group and gender, population 15 years and over Canada, provinces and territories.Release date: 2024-09-27
- Table: 13-10-0904-01Geography: Province or territoryFrequency: OccasionalDescription: Number and percentage of youth who report changes or no change in their health characteristics between 2019 and 2023 by gender and age group, Canada (excluding territories) and provinces.Release date: 2024-09-10
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Data (48)
Data (48) (0 to 10 of 48 results)
- Table: 13-10-0880-01Frequency: AnnualDescription: Percentage of persons for selected health indicators, by visible minority and selected sociodemographic characteristics (age group, gender or immigrant status) for the population aged 18 and older in the ten provinces. Data is available for Canada (excluding territories). A similar table with a geographical breakdown by region is available in table 13-10-0881.Release date: 2024-10-02
- Table: 13-10-0881-01Geography: Geographical region of CanadaFrequency: AnnualDescription: Percentage of persons for selected health indicators, by visible minority and selected sociodemographic characteristics (age group, gender or immigrant status) for the population aged 18 and older in the ten provinces. Data is available for Canada (excluding territories). A similar table with a geographical breakdown by region is available in table 13-10-0880.Release date: 2024-10-02
- Table: 13-10-0905-01Geography: Province or territoryFrequency: OccasionalDescription: Health indicator statistics, annual estimates, by age group and sex, Canada (excluding territories) and provinces.Release date: 2024-10-02
- Table: 13-10-0906-01Geography: Province or territoryFrequency: OccasionalDescription: Health indicator statistics, annual estimates, by household income quintile and highest level of education, Canada (excluding territories) and provinces.Release date: 2024-10-02
- Table: 41-10-0080-01Geography: Canada, Geographical region of Canada, Province or territoryFrequency: OccasionalDescription: General health and mental health by housing situation, First Nations people living off reserve, Métis and Inuit, age group and gender, population 15 years and over Canada, provinces and territories.Release date: 2024-09-27
- Table: 13-10-0904-01Geography: Province or territoryFrequency: OccasionalDescription: Number and percentage of youth who report changes or no change in their health characteristics between 2019 and 2023 by gender and age group, Canada (excluding territories) and provinces.Release date: 2024-09-10
- Data Visualization: 71-607-X2020010Description: The Canadian Statistical Geospatial Explorer empowers users to discover geo enabled data holdings of Statistics Canada at various levels of geography including at the neighbourhood level. Users are able to visualize, thematically map, spatially explore and analyze, export and consume data in various formats. Users can also view the data superimposed on satellite imagery, topographic and street layers.Release date: 2024-08-21
- Public use microdata: 13-25-0010Description: The public use microdata file (PUMF) from the Canadian Health Survey on Seniors (CHSS) provides data at the provincial level. Over the two-year period, data were collected from approximately 42,000 respondents aged 65 or older, residing in households in all provinces. The file includes information on a wide range of topics, including oral health, care receiving, community service use, access to health care services, vaccines, smoking, alcohol consumption, general health, chronic health conditions and provides information on the socio-demographic characteristics of the population. Note: The Canadian Health Survey on Seniors (CHSS) is a supplement to the Canadian Community Health Survey (CCHS) - Annual component.Release date: 2024-06-14
- Public use microdata: 82M0013XDescription: The public use microdata file (PUMF) from the Canadian Community Health Survey (CCHS) provides data for health regions and combinations of health regions across Canada. Over the two year period, data are based on interviews with approximately 130,000 respondents aged 12 or older, residing in households in all provinces and territories.
The files include information on a wide range of topics, including: physical activity, height and weight, smoking, exposure to second hand smoke, alcohol consumption, general health, chronic health conditions, injuries, and use of health care services. It also provides information on the socio-demographic, income and labour force characteristics of the population.
Release date: 2024-06-14 - 10. Health characteristics, annual estimates, inactive ArchivedTable: 13-10-0096-01Geography: Province or territoryFrequency: OccasionalDescription: Health characteristics, annual estimates, by age group and sex, Canada (excluding territories) and provinces.Release date: 2023-11-06
Analysis (134)
Analysis (134) (80 to 90 of 134 results)
- 81. Wireless substitution in the U.S. and Canada: prevalence and impact on random-digit-dialed health surveys ArchivedArticles and reports: 11-522-X200600110420Description:
Most major survey research organizations in the United States and Canada do not include wireless telephone numbers when conducting random-digit-dialed (RDD) household telephone surveys. In this paper, we offer the most up-to-date estimates available from the U.S. National Center for Health Statistics and Statistics Canada concerning the prevalence and demographic characteristics of the wireless-only population. We then present data from the U.S. National Health Interview Survey on the health and health care access of wireless-only adults, and we examine the potential for coverage bias when health research is conducted using RDD surveys that exclude wireless telephone numbers.
Release date: 2008-03-17 - 82. Exploring the impact of mode on key health estimates in the National Health Interview Survey ArchivedArticles and reports: 11-522-X200600110421Description:
In an effort to increase response rates and decrease costs, many survey operations have begun to use several modes to collect relevant data. While the National Health Interview Survey (NHIS), a multipurpose household health survey conducted annually by the National Center for Health Statistics, Centers for Disease Control and Prevention, is primarily a face-to-face survey, interviewers also rely on the telephone to complete some interviews. This has raised questions about the quality of resulting data. To address these questions, data from the 2005 NHIS are used to analyze the impact of mode on eight key health indicators.
Release date: 2008-03-17 - 83. Accounting for a significant methodological change in analyzing Canadian Community Health Survey data ArchivedArticles and reports: 11-522-X200600110423Description:
Statistics Canada's Canadian Community Health Survey uses two sample frames and two data collection methods. In cycle 2.1, a change was made in sample allocation between the two frames. A study of the collection method effect by Statistics Canada revealed comparability problems between cycles 1.1 and 2.1. In contrast, the Institut de la statistique du Québec took a comprehensive look at the changes, and classified 178 variables as "comparable" or 'non-comparable". It made recommendations to Quebec users concerning chronological and interregional comparisons.
Release date: 2008-03-17 - 84. International comparisons in measuring health states: experiences from the world health surveys ArchivedArticles and reports: 11-522-X200600110429Description:
During the last three decades, there has been general acceptance of an approach to describing health states of individuals in terms of multiple domains of health, and in developing self-report instruments that seek information on each of these domains. A health state is thus a multi-dimensional attribute of an individual that reflects his or her levels on the various components or domains of health. Thus, a health state differs from pathology, risk factors or etiology, and from health service encounters or interventions.
How to describe health states, is a central challenge in undertaking the measurement of health. The relationship of health states to other aspects of health such as future non-fatal health outcomes or risk of mortality need to be examined. The way people report their own health varies consistently with factors such as education, sex, age, or other cultural factors. Various people use different response category cut-points across cultures or population sub-groups, and this 'response shift' implies that self-report categorical data are not comparable across individuals. The responses cannot be directly used to measure health without adjustment.
In recognition of this the WHO World Health Surveys (WHS), used a set of questions across a core set of domains to measure health states and employed vignettes to detect and correct for biases in self-report in order to adjust for response category cut-point shifts. This paper will describe the instrument used in the WHS and the methods used to provide cross population comparable data. It will present results from the WHS demonstrating the existence of systematic reporting biases, the ability of respondents to rate vignettes and their use to adjust for biases in order to make data more comparable. Future strategies to address these problems will be discussed.
Release date: 2008-03-17 - 85. Geovisualization of health and social capital data derived from Statistics Canada surveys ArchivedArticles and reports: 11-522-X200600110447Description:
The classification and identification of locations where persons report to be more or less healthy or have more or less social capital, within a specific area such as a health region, is tremendously helpful for understanding place and health associations. The objective of the proposed study is to classify and map areas within the Zone 6 Health Region (Figure 1) of Nova Scotia (Halifax Regional Municipality and Annapolis Valley regions) according to health status (Dimension 1) and social capital (Dimension 2). We abstracted responses to questions about self-reported health status, mental health, and social capital from the master files of the Canadian Community Health Survey (Cycles 1.1, 1.2 and 2.1), National Population Health Survey (Cycle 5), and the General Social Survey (Cycles 13, 14, 17, and 18). Responses were geocoded using the Statistics Canada Postal Code Conversion File (PCCF+) and imported into a geographical information system (GIS) so that the postal code associated with the response will be assigned to a latitude and longitude within the Nova Scotia Zone 6 health region. Kernel density estimators and additional spatial interpolators were used to develop statistically-smoothed surfaces of the distribution of respondent values for each question. The smoothing process eliminates the possibility of revealing individual respondent location and confidential Statistics Canada sampling frame information. Using responses from similar questions across multiple surveys improves the likelihood of detecting heterogeneity among the responses within the health region area, as well as the accuracy of the smoothed map classification.
Release date: 2008-03-17 - 86. Exploring the impact of participant reluctance on data quality in the National Health Interview Survey (NHIS) ArchivedArticles and reports: 11-522-X200600110450Description:
Using survey and contact attempt history data collected with the 2005 National Health Interview Survey (NHIS), a multi-purpose health survey conducted by the National Center for Health Statistics (NCHS), Centers for Disease Control and Prevention (CDC), we set out to explore the impact of participant concerns/reluctance on data quality, as measured by rates of partially complete interviews and item nonresponse. Overall, results show that respondents from households where some type of concern or reluctance (e.g., "too busy," "not interested") was expressed produced higher rates of partially complete interviews and item nonresponse than respondents from households where concern/reluctance was not expressed. Differences by type of concern were also identified.
Release date: 2008-03-17 - Articles and reports: 82-003-X200800110515Geography: CanadaDescription:
Based on findings from the 2005 Canadian Internet Use Survey, this article examines adults' use of the Internet to access health information. The study also looks at the type of searches conducted by those who sought health information.
Release date: 2008-02-21 - Articles and reports: 82-003-S200700010361Description:
This article summarizes the background, history and rationale for the Canadian Health Measures Survey, and provides an overview of the objectives, methods and analysis plans.
Release date: 2007-12-05 - Articles and reports: 82-003-S200700010363Description:
This overview describes the sampling strategy used to meet the collection and estimation requirements of the Canadian Health Measures Survey.
Release date: 2007-12-05 - Articles and reports: 82-003-S200700010364Description:
This article describes how the Canadian Health Measures Survey has addressed the ethical, legal and social issues (ELSI) arising from the survey. The development of appropriate procedures and the rationale behind them are discussed in detail for some specific ELSI.
Release date: 2007-12-05
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Reference (24)
Reference (24) (0 to 10 of 24 results)
- 1. Analytical Studies Branch Annual Consolidated Plan for Research, Data Development and Modelling, 2019/2020 ArchivedSurveys and statistical programs – Documentation: 11-633-X2019001Description:
The mandate of the Analytical Studies Branch (ASB) is to provide high-quality, relevant and timely information on economic, health and social issues that are important to Canadians. The branch strategically makes use of expert knowledge and a large range of statistical sources to describe, draw inferences from, and make objective and scientifically supported deductions about the evolving nature of the Canadian economy and society. Research questions are addressed by applying leading-edge methods, including microsimulation and predictive analytics using a range of linked and integrated administrative and survey data. In supporting greater access to data, ASB linked data are made available to external researchers and policy makers to support evidence-based decision making. Research results are disseminated by the branch using a range of mediums (i.e., research papers, studies, infographics, videos, and blogs) to meet user needs. The branch also provides analytical support and training, feedback, and quality assurance to the wide range of programs within and outside Statistics Canada.
Release date: 2019-05-29 - Surveys and statistical programs – Documentation: 82-230-XDescription:
This report presents the results of the 3rd Consensus Conference on Health Indicators that was convened in March 2009, including information that was presented at the conference, a summary of the consultation process leading up to the event, and the priority health areas deemed most important for future indicator development work.
The conference marked the 10th anniversary of the Health Indicators project, a collaboration between Statistics Canada and Canadian Institute for Health Information (CIHI). The goal of the project is to provide health regions, health care providers and the public in general with reliable and comparable data on the health of Canadians and to assist stakeholders and decision makers in the use and interpretation of the indicator data.
Release date: 2009-12-21 - Surveys and statistical programs – Documentation: 82-622-X2008003Description:
Since 2007/2008, Statistics Canada has centred analysis of data holdings related to health as well as our program of dissemination of health research within the new Health Information and Research Division (HIRD).
The new division has launched a comprehensive approach to analytical planning including environmental scanning and consultation; establishment of strategic multi-year priorities for health research at Statistics Canada; a process of project selection and review that ensures that analytical effort addresses our priorities; metrics to measure our adherence to priorities and the impact of our analytical effort; and communication and dissemination of analytical plans.
This multi-year analytical plan identifies the key high-level priority areas for Statistics Canada's investment in health research for 2008/2009 to 2010/2011, and serves as a blueprint for subsequent operational research planning.
Release date: 2009-01-30 - 4. Making Sense of Health Rankings ArchivedSurveys and statistical programs – Documentation: 82-582-XDescription:
This special methodological paper will help readers understand and assess reports that rank the health status or health system performance of a country, province or jurisdiction. The report outlines the components and processes that underlie health rankings, explores why such rankings can be difficult to interpret and includes a plain-language checklist to use as a critical evaluative resource when reading health-ranking reports.
Release date: 2008-09-16 - Surveys and statistical programs – Documentation: 84-548-XDescription:
This report describes the design, methodology, and results of the first study undertaken by Statistics Canada to measure the impact on Canadian cause of death trends of a new revision of the World Health Organization's International Classification of Diseases (ICD).
Using 1999 Canadian mortality data, Statistics Canada carried out a comparability, or "bridge-coding", study by dual-coding deaths to both the Ninth and Tenth Revisions of the International Classification of Diseases (ICD-9 and ICD-10). The preliminary results of this exercise were used to generate comparability ratios; these ratios measure the net effect of the new revision, with ratios above 1.00 indicating a net increase in deaths classified to a cause of death, and ratios below 1.00 indicating a net decrease.
The comparability ratios derived from dual-coding medical certificates of cause of death presented in this report estimate the size and direction of the disruption to cause of death trends due to the implementation of ICD-10. Researchers and analysts using Canadian mortality data should use these summary measures to calculate comparability-modified death counts and mortality rates to bridge the gap between ICD-9 and ICD-10.
Release date: 2005-11-23 - Surveys and statistical programs – Documentation: 82-003-X20010036099Description:
Cycle 1.1 of the Canadian Community Health Survey (CCHS) will provide information for 136 health regions. A brief overview of the CCHS design, sampling strategy, interviewing procedures, data collection and processing is presented.
Release date: 2002-03-13 - 7. Guide to Health Statistics ArchivedSurveys and statistical programs – Documentation: 82-573-GDescription:
The Guide to health statistics leads to health-related information with links to vital statistics such as births, deaths, marriages and divorces, to cancer statistics, health determinants, health status, health care, smoking and tobacco use and more. There is also information on cross-sectional and longitudinal surveys from the Canadian Community Health Survey and the National Population Health Survey.
This user's guide has been developed by Health Statistics Division to facilitate access on health information at Statistics Canada. It includes information with links to products and programs from Health Statistics Division, other divisions at Statistics Canada and other health related programs outside Statistics Canada.
Release date: 2000-10-11 - Surveys and statistical programs – Documentation: 82F0068XDescription:
This document gives information concerning the National Population Health Survey (NPHS). Annexed is the questionnaire of NPHS 1996-97, a comparison table between the cycles, general information on the NPHS and a list of NPHS products and services, as well as an excerpt from The daily of May 29, 1998 (data release of the NPHS: Cycle 2). The questionnaire includes content related to health status, use of health services, determinants of health and a range of demographic and economic information.
Release date: 1999-01-27 - Surveys and statistical programs – Documentation: 82F0058XDescription:
This catalogue provides a comprehensive reference to health information available from Statistics Canada. The products, services and surveys listed in this publication cover such broad subject areas as vital statistics, health status, health determinants, and health care.
Release date: 1998-10-21 - Surveys and statistical programs – Documentation: 3217Description: This survey provides data on the lifestyle and health of Canadians, complementing existing administrative data bases.
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