This table contains 93984 series, with data for years 2002 - 2002 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (11 items: Canada; Prince Edward Island; Newfoundland and Labrador; Nova Scotia ...), Age group (4 items: 65 years and over;25 to 64 years;15 to 24 years; Total; 15 years and over ...), Sex (3 items: Both sexes; Females; Males ...), Mental health and well-being profile (89 items: Total population for the variable major depressive episode; Major depressive episode; all measured criteria are met; Major depressive episode; measured criteria not met; Major depressive episode; not stated ...), Characteristics (8 items: Number of persons; Coefficient of variation for number of persons; Low 95% confidence interval; number of persons; High 95% confidence interval; number of persons ...).

In 1991, the National Task Force on Health Information cited a number of issues and problems with the health information system. To respond to these issues, the Canadian Institute for Health Information (CIHI), Statistics Canada and Health Canada joined forces to create a Health Information Roadmap. From this mandate, the Canadian Community Health Survey (CCHS) was conceived. The CCHS is a cross-sectional survey that collects information related to health status, health care utilization and health determinants for the Canadian population. The survey is offered in both official languages. It relies upon a large sample of respondents and is designed to provide reliable estimates at the health region level every 2 years. The CCHS has the following objectives: Support health surveillance programs by providing health data at the national, provincial and intra-provincial levels Provide a single data source for health research on small populations and rare characteristics Timely release of information easily accessible to a diverse community of users Create a flexible survey instrument that includes a rapid response option to address emerging issues related to the health of the population The CCHS produces an annual microdata file and a file combining two years of data. The CCHS collection years with both consistent design and consistent population representation can also be combined by users to examine populations or rare characteristics. The primary use of the CCHS data is for health surveillance and population health research. Federal and provincial departments of health and human resources, social service agencies, and other types of government agencies use the information collected from respondents to monitor, plan, implement and evaluate programs to improve the health of Canadians. Researchers from various fields use the information to conduct research to improve health. Non-profit health organizations and the media use the CCHS results to raise awareness about health, an issue of concern to all Canadians.

Canadian Community Health Survey (CCHS 1.1 and 2.1) immigrant profile, by sex, Canada, provinces and territories.

This table contains characteristics of children and youth aged 1 to 17 years on general health like perceived health and mental health, on long-term conditions such as asthma and diabetes and on aches and sleeping difficulties.

The Canadian Digital Health Survey is a series of surveys conducted annually commissioned by Canada Health Infoway (Infoway) through a third-party vendor. These annually conducted surveys are based on a variety of specific system utilization and attitudinal tracking metrics used in previous years as well as new areas of inquiry. The surveys include core tracking questions as well as new questions that will provide actionable insights to help advance the digital health landscape in Canada. For visualization and be able to filter data to gain insights into the Canadian digital health landscape, please visit Infoway's interactive data and analytics hub: https://insights.infoway-inforoute.ca/

This table contains 145632 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 (41 items: Canada; Nova Scotia; Newfoundland and Labrador; Prince Edward Island ...) Sex (3 items: Both sexes; Males; Females ...) Health profile (156 items: Total population for the variable self-rated health; Excellent self-rated health; Very good self-rated health; Very good or excellent 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 ...).

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 ...).

This table contains 83304 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 (117 items: Canada; Census metropolitan areas; Newfoundland and Labrador; Newfoundland and Labrador ...) Sex (3 items: Males; Females; Both sexes ...) Health profile (31 items: Very good or excellent self-rated health; Very good or excellent self-rated mental health; Obese; self-reported adult body mass index 30.00 or higher (18 years and over); Overweight; self-reported adult body mass index 25.00 to 29.99 (18 years and over) ...) Characteristics (8 items: Number of persons; High 95% confidence interval; number of persons; Coefficient of variation for number of persons; Low 95% confidence interval; number of persons ...).

This section offers insights into the digital health landscape in terms of interest in, use of and unmet demand for digitally enabled health services. It explores a variety of digital health services that includes access to personal health information (PHI), e-booking with a health provider online, virtual visit with a health provider, and consultation with a chatbot for healthcare concerns.

Healthcare Survey Dataset (Canada) – 2019-2020 Overview This dataset contains anonymized responses from the Canadian Health Survey (2019-2020), providing valuable insights into various health-related factors, lifestyle choices, and medical conditions of individuals across different provinces. It is a great resource for public health analysis, machine learning applications, and predictive modeling.

What’s Inside the Dataset? The dataset includes information on: - Demographics: Age, gender, marital status, household composition - Health Conditions: Chronic illnesses (diabetes, high blood pressure, sleep apnea, etc.) - Lifestyle Factors: Smoking, alcohol consumption, physical activity, food security - Mental Well-being: Stress levels, anxiety, mood disorders, life satisfaction - Healthcare Access: Insurance coverage, access to healthcare services - Employment & Work Stress: Work hours, job-related stress, income sources many more features

An overview of the content of the Canadian Community Health Survey (CCHS), the 2015 redesign, and content changes over the years.

This presentation outlines the design and content of the Canadian Community Health Survey (CCHS) Cycle 2.2 on nutrition. The objective of this survey is to provide timely, consistent, cross-sectional estimates of health determinants, health status and health system utilization across Canada.

Digital health literacy tends to be an important driver of the uptake of digital health services. This section presents Canadians’ digital health literacy scores calculated from the eHEALS assessment tool

The Canadian Heart Health Database (CHHDB) is an integration of data from ten Provincial Heart Health Surveys conducted between 1986 and 1992. The Provincial Heart Health Surveys were conducted as part of the Canadian Heart Health Initiative and have been a collaborative effort among provincial departments of health, Health Canada and The Heart and Stroke Foundation of Canada. The origin of the collaborative approach to cardiovascular disease prevention (CVD) lies in a report prepared by the Federal Provincial Working Group on Cardiovascular Disease Prevention and Control. The Canadian Heart Health Database consists of two sets of integrated data: core information collected by all ten provincial surveys, and family history information collected by only four provinces — Quebec, Ontario Saskatchewan and Alberta. The objective of the surveys was to estimate at the provincial level, the prevalence of CVD risk factors, the knowledge and awareness levels of CVD causes, the consequences of CVD, and the associated risk factors and lifestyle behaviours.

The National Population Health Survey (NPHS) program is designed to collect information related to the health of the Canadian population. The first cycle of data collection began in 1994. The institutional component includes long-term residents (expected to stay longer than six months) in health care facilities with four or more beds in Canada with the principal exclusion of the Yukon and the Northwest Teritories. The document has been produced to facilitate the manipulation of the 1996-1997 microdata file containing survey results. The main variables include: demography, health status, chronic conditions, restriction of activity, socio-demographic, and others.

Canadian Community Health Survey (CCHS 1.1 and 2.1) linguistic minority profile (mother tongue and first official language spoken), by sex, Canada, provinces and territories.

The Canadian Community Health Survey (CCHS) is a cross-sectional survey that collects information related to health status, health care utilization and health determinants for the Canadian population. The CCHS operates on a two-year collection cycle. The first year of the survey cycle “.1” is a large sample, general population health survey, designed to provide reliable estimates at the health region level. The second year of the survey cycle “.2” is a smaller survey designed to provide provincial level results on specific focused health topics. This Microdata File contains data collected in Cycle 1.2 Mental Health and Well-Being. This cycle mainly measures aspects linked to the mental health of Canadians. The primary objectives of the CCHS Mental Health and Well-being are to: Provide timely, reliable, cross-sectional estimates of mental health determinants, mental health status and mental health system utilization across Canada Determine prevalence rates of selected mental disorders to assess the impact of burden of illness Juxtapose access and utilization of mental health services with respect to perceived needs Assess the disabilities associated with mental health problems to individuals and society Information was collected between May 2002 and December 2002, for the ten provinces. Cycle 1.2 collects responses from persons aged 15 or older, living in private occupied dwellings. Excluded from the sampling frame are individuals living on Indian Reserves and on Crown Lands, Health Care institution residents, full-time members of the Canadian Armed Forces, and residents of certain remote regions.

A senior analyst from Statistics Canada’s Health Statistics Division discusses the CCHS Healthy Aging survey's background, themes, data file structure and data uses.

This section explores Canadians' experiences and perceptions of AI in healthcare. It compares interest in AI-powered services with actual access, and examines attitudes toward AI’s general use in care. The findings also highlight awareness and opinions about AI scribes used to document health encounters, as well as firsthand experiences with these tools. Overall satisfaction with innovative technologies in healthcare rounds out the picture of how AI is being received in clinical settings.

This survey provides data on the lifestyle and health of Canadians, complementing existing administrative data bases. Major areas of coverage include risk factors, health status, and consequences. Risks to future health of three main types are identified and probed in the CHS. They are lifestyle, bio-medical and environmental. Lifestyle, in particular, lends itself to measurement in a household survey. Risks have an impact on future health, but, since the time element is missing from a cross-sectional survey, the CHS was restricted to examining the distribution of known hazards. Health status - only partially the outcome of earlier risk exposure - has positive and negative dimensions, which were measured for both the physical and emotional facets of health. Because morbidity statistics are most commonly derived from health records which report a single episode rather than entire histories, it is impossible to assess the personal burden of ill health, especially for those problems which do not reach the health care system. The CHS rectifies the situation by identifying health problems and their consequences for each individual in the sample, and using these to evaluate the impact of ill health.