Other content related to Health

Description: 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.

Description: Release published in The Daily – Statistics Canada’s official release bulletin

Description: 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.

Description: 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.

Description: Health indicator statistics, annual estimates, by age group and sex, Canada (excluding territories) and provinces.

Description: Health indicator statistics, annual estimates, by household income quintile and highest level of education, Canada (excluding territories) and provinces.

Description: 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.

Description:

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.

Description: 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.

Description: Release published in The Daily – Statistics Canada’s official release bulletin

Description: Percentage of persons for selected health indicators, by Aboriginal identity and sex, based on four-year period estimates.

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Health indicators, age-standardized rate, annual estimates, by sex, Canada, provinces and territories.

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This product presents comparable time-series data for a range of health indicators from a number of sources including the Canadian Community Health Survey, Vital Statistics, and Canadian Cancer Registry. The application is designed to give quick access to recent trends that can be customized by indicator or by geography.

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This application is designed to give quick access to the latest health-related data for a selected health region or census metropolitan area, providing the corresponding provincial data by default, but users can easily select a different area for comparison. The Health Profile features sub-provincial data from a number of sources including Statistics Canada's vital statistics, Canadian Cancer Registry, the Canadian Community Health Survey, and Census of Population, as well as hospitalization data from the Canadian Institute for Health Information.

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Health indicators, by linguistic characteristcs (mother tongue, first official language spoken), two-year period estimates, by sex, Canada, provinces and territories.

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This publication presents a series of thematic maps showing the subprovincial variations for selected health indicators based on the latest data available from different data sources. Reference maps showing the boundaries of health regions in Canada are also available.

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This publication provides data users, health professionals and individual Canadians with a tabular overview of results from cycle 1 of the Canadian Health Measures Survey. The data were collected from March 2007 to March 2009. The publication presents a compilation of tables produced at the Canada level, by sex and age groups for various directly measured health measures. Additional tables will be added as a result of future data releases.

Description:

This table contains 447552 series, with data for years 2003 - 2003 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (14 items: Canada; Newfoundland and Labrador; Nova Scotia; Prince Edward Island ...) Urban-rural status (9 items: Total; urban-rural status; Urban; Urban fringe; Urban core ...) Sex (3 items: Both sexes; Females; Males ...) Health profile (156 items: Total population for the variable self-rated health; Very good or excellent self-rated health; Excellent self-rated health; Very good self-rated health ...) Characteristics (8 items: Number of persons; Low 95% confidence interval; number of persons; High 95% confidence interval; number of persons; Coefficient of variation for number of persons ...).

Description:

This table contains 41216 series, with data for years 2005 - 2005 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (14 items: Canada; Newfoundland and Labrador; Prince Edward Island; Nova Scotia ...) Off-reserve Aboriginal profile (4 items: Total off-reserve population; Non-Aboriginal; Aboriginal; not stated; Aboriginal ...) Sex (3 items: Both sexes; Males; Females ...) Health profile (32 items: Very good or excellent self-rated health; Very good or excellent self-rated mental health; Overweight; self-reported adult body mass index 25.00 to 29.99 (18 years and over); Obese; self-reported adult body mass index 30.00 or higher (18 years and over) ...) Characteristics (8 items: Number of persons; Low 95% confidence interval; number of persons; Coefficient of variation for number of persons; High 95% confidence interval; number of persons ...).

Description:

This Internet publication presents comparable health indicators for Canada, the provinces and territories. Indicators have been jointly selected by provincial and territorial health ministries, and Health Canada. Comparable Health Indicators address primary health care, home care, other programs and services, catastrophic drug coverage and pharmaceutical management, diagnostic and medical equipment, health human resources and healthy Canadians.

Description:

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.

Description:

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.

Description:

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.

Description:

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.

Description:

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.

Description:

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.

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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.

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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.

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This overview describes the sampling strategy used to meet the collection and estimation requirements of the Canadian Health Measures Survey.

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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.

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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.

Description:

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.

Description:

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.

Description:

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.

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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.

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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.

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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.

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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.

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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.

Description: This survey provides data on the lifestyle and health of Canadians, complementing existing administrative data bases.