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.

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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.

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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 ...).

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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.

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This release contains estimates of total spending on research and development (R&D) in the health field in Canada. Tables demonstrate expenditures on health R&D by both performer and funder from 2004 to 2008 preliminary estimates.

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This article presents information about the number of seniors who use medications and those who have an elevated risk of drug-related adverse events from multiple medication use.

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Taking account of the impacts of institutionalization and death, this study decribes the normative trajectories of health-related quality of life in Canada as individuals age from mid- to late life.

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This article presents methods of combining cycles of the Canadian Community Health Survey and discusses issues to consider if these data are to be combined.

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This release contains estimates of total spending on research and development (R&D) in the health field in Canada. Tables demonstrate expenditures on health R&D by both performer and funder from 1996 to 2007 preliminary estimates. Historical data indicates that in Canada, health R&D expenditures as a percentage of Gross Domestic Expenditures on Research and Development (GERD) are growing.

Description:

Many countries conduct surveys that focus specifically on their population's health. Because health plays a key role in most aspects of life, health data are also often collected in population surveys on other topics. The subject matter of population health surveys broadly encompasses physical and mental heath, dental health, disabilities, substance abuse, health risk factors, nutrition, health promotion, health care utilization and quality, health coverage, and costs. Some surveys focus on specific health conditions, whereas others aim to obtain an overall health assessment. Health is often an important component in longitudinal studies, particularly in birth and aging cohorts. Information about health can be collected by respondents' reports (for themselves and sometimes for others), by medical examinations, and by collecting biological measures. There is a serious concern about the accuracy of health information collected by respondents' reports. Logistical issues, cost considerations, and respondent cooperation feature prominently when the information is collected by medical examinations. Ethical and privacy issues are often important, particularly when DNA and biomarkers are involved. International comparability of health measures is of growing importance. This paper reviews the methodology for a range of health surveys and will discuss the challenges in obtaining accurate data in this field.

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In health studies, it is quite common to collect binary or count repeated responses along with a set of multi-dimensional covariates over a small period of time from a large number of independent families, where the families are selected from a finite population by using certain complex sampling designs. It is of interest to examine the effects of the covariates on the familial longitudinal responses after taking the variation in the family effects as well as the longitudinal correlations of the repeated responses into account. In this paper, I review the advantages and drawbacks of the existing methodologies for the estimation of the regression effects, the variance of the family effects and the longitudinal correlations. We then outline the advantages of a new unified generalized quasilikelihood approach in analyzing the complex design based familial longitudinal data. Some existing numerical studies are discussed as illustrations of the methodologies considered in the paper.

Description:

The Canadian Community Health Survey consists of two cross-sectional surveys conducted on an alternating annual cycle. Both surveys collect general health information, while the second smaller survey collects additional information on survey specific health issues. Even with the large sample sizes, users are interested in combining the cycles of the CCHS to improve the quality of the estimates, create estimates for small geographical domains, or to estimate for rare characteristics or populations. This paper will focus on some of the issues related to combining cycles of the CCHS including some possible interpretations of the combined result. Possible methods to combine cycles will also be outlined.

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The National Health and Nutrition Examination Survey (NHANES) has been conducted by the National Center for Health Statistics for over forty years. The survey collects information on the health and nutritional status of the United States population using in-person interviews and standardized physical examinations conducted in mobile examination centers. During the course of these forty years, numerous lessons have been learned about the conduct of a survey using direct physical measures. Examples of these "lessons learned" are described and provide a guide for other organizations and countries as they plan similar surveys.

Description:

Health services research generally relies on observational data to compare outcomes of patients receiving different therapies. Comparisons of patient groups in observational studies may be biased, in that outcomes differ due to both the effects of treatment and the effects of patient prognosis. In some cases, especially when data are collected on detailed clinical risk factors, these differences can be controlled for using statistical or epidemiological methods. In other cases, when unmeasured characteristics of the patient population affect both the decision to provide therapy and the outcome, these differences cannot be removed using standard techniques. Use of health administrative data requires particular cautions in undertaking observational studies since important clinical information does not exist. We discuss several statistical and epidemiological approaches to remove overt (measurable) and hidden (unmeasurable) bias in observational studies. These include regression model-based case-mix adjustment, propensity-based matching, redefining the exposure variable of interest, and the econometric technique of instrumental variable (IV) analysis. These methods are illustrated using examples from the medical literature including prediction of one-year mortality following heart attack; the return to health care spending in higher spending U.S. regions in terms of clinical and financial benefits; and the long-term survival benefits of invasive cardiac management of heart attack patients. It is possible to use health administrative data for observational studies provided careful attention is paid to addressing issues of reverse causation and unmeasured confounding.

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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.

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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.

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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.

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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.