Health

Description: Number and percentage of persons by household food security status, age group, sex, visible minority group, Indigenous group and immigration status, Canada and provinces.

Description: Number and percentage of persons aged 16 years and over with unmet health care needs by sex (Canada and provinces) and age group (Canada only).

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Distribution of market, total and after-tax income by disability status for persons aged 16 years and over and persons aged 25 to 54, Canada and regions, annual.

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Income of individuals by disability status, age group, sex and income source, Canada, annual.

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Distribution of employment income of individuals by disability status, sex and work activity, Canada, annual.

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Poverty and low-income statistics by disability status, age group, sex and economic family type, Canada, annual.

Description: This infographic examines the early child care experiences of children with long-term conditions or disabilities using data from the 2023 Survey on Early Learning and Child Care arrangements – Children with Long-term Conditions and Disabilities (SELCCA – CLCD). It explores the types of extra support needed while in child care, the common difficulties they experienced as well as the impacts on the parent or guardian having difficulty finding a child care arrangement.

Description: Using data from the 2023 Survey on Early Learning and Child Care arrangements – Children with Long-term Conditions and Disabilities (SELCCA – CLCD), this American Sign Language video examines the early child care experiences of children with long-term conditions or disabilities.

Description: Oral health is a crucial component of overall health, influencing both physical and mental well-being. Yet, despite the important role that access to and use of oral health care services play in maintaining optimal oral health, substantial disparities remain in access to oral health care services across population groups in Canada. Using data from the 2022 Canadian Community Health Survey, this study examines the association of dental insurance with oral health care access and use in Canada while accounting for income and sociodemographic factors. It contributes to a baseline of oral health care disparities before the implementation of the Canadian Dental Care Plan.

Description: Children’s oral health can affect functional capacities, psychological well-being, and social integration. Additionally, health behaviours established in childhood extend into adulthood and can influence oral health outcomes later in life. Using data from the 2019 Canadian Health Survey on Children and Youth, this study investigates the association between dental insurance, income, and dental care access for Canadian children and youth aged 1 to 17 years. It contributes to a baseline understanding of oral health care use before the implementation of the Canadian Dental Care Plan.

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Information in this microdata file refers to survey data collected in September - November, 1994 for persons 15 years of age and older in Canada's ten provinces. The survey's main data objectives were to measure the prevalence and patterns of alcohol and other drug use, to assess harm and other consequences of drug use and to evaluate trends in recent patterns of use. Canada's Alcohol and Other Drugs Survey (CADS) also updates and expands upon data collected in the first survey, the National Alcohol and Other Drugs Survey (NADS), conducted in 1989.

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This compendium of vital statistics includes summary data on births, deaths, marriages and divorces. The introduction covers the data sources, data quality, and methods pertaining to each event, and includes a glossary defining the terms used. The first chapter is a brief overview of vital statistics for 1996. Subsequent chapters treat marriage, divorce, birth, fetal and infant mortality, total mortality, causes of death, vital statistics by census division, and international comparisons. Most charts and tables show Canada data for 1986 though 1996, while the charts and tables for causes of death show Canada data for 1979 through1996. Data for the provinces and territories are usually shown for 1995 and 1996. Appendices include population denominator data, age-standardized mortality rate (ASMR) calculation methods, and leading causes of death methodology.

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Statistics in the tables of Section B are in two divisions. Series Bl-81 contain data on vital statistics and series B82-543 on health. Data on social welfare, formerly contained in this section, are presented separately in Section C.

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Cycle 11 collected data from persons 15 years and older and concentrated on help given or received during temporary difficult times or out of necessity due to long-term health or physical limitations in daily activities either inside or outside the household. The target population of the General Social Survey consisted of all individuals aged 15 and over living in a private household in one of the ten provinces.

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The National Population Health Survey (NPHS) is designed to enhance the understanding of the processes affecting health. The survey collects cross-sectional as well as longitudinal data. In 1994/95 the survey interviewed a panel of 17,276 individuals, then returned to interview them a second time in 1996/97. The response rate for these individuals was 96% in 1996/97. Data collection from the panel will continue for up to two decades. For cross-sectional purposes, data were collected for a total of 81,000 household residents in all provinces (except people on Indian reserves or on Canadian Forces bases) in 1996/97.

This overview illustrates the variety of information available by presenting data on perceived health, chronic conditions, injuries, repetitive strains, depression, smoking, alcohol consumption, physical activity, consultations with medical professionals, use of medications and use of alternative medicine.

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The statistical tables in the first part of this document relate to the numbers and rates of live births and stillbirths of at least twenty weeks gestation; total, general and age specific fertility rates; live births by age of mother and order of live birth; male and female birth weights by age of mother and gestation period at the time of birth; and live births by census division and counties in the province(s).

In the second part of this document, the statistical tables, for Canada, the ten provinces and the two territories, relate to the numbers and rates of deaths by marital status, age and sex; infant, neonatal, postnatal and perinatal deaths; maternal deaths; and stillbirths of at least twenty weeks gestation at the time of birth.

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The special ten year anniversary edition of Canadian cancer statistics 1997 represents a collaborative effort between Statistics Canada, the National Cancer Institute of Canada, Health Canada, the Canadian Cancer Society, and provincial/territorial cancer registries. This 71 page monograph contains estimates of cancer incidence and mortality for 1997, historical (actual and estimated) data from 1969 to 1997, and selected indicators on the burden of cancer. Estimates were produced by modelling actual cancer incidence and mortality data by province for selected cancer sites. The special topic this year is a comparison of the burden of cancer in Canada in 1997 to that reported in the first edition in 1987.

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The National Population Health Survey (NPHS) uses the Labour Force Survey sampling frame to draw a sample of approximately 22,000 households. The sample is distributed over four quarterly collection periods. In each household, some limited information is collected from all household members and one person, aged 12 years and over, in each household is randomly selected for a more in-depth interview.

The questionnaire includes content related to health status, use of health services, determinants of health and a range of demographic and economic information. For example, the health status information includes self-perception of health, a health status index, chronic conditions, and activity restrictions. The use of health services is probed through visits to health care providers, both traditional and non-traditional, and the use of drugs and other medications. Health determinants include smoking, alcohol use, physical activity and in the first survey, emphasis has been placed on the collection of selected psycho-social factors that may influence health, such as stress, self-esteem and social support. The demographic and economic information includes age, sex, education, ethnicity, household income and labour force status.

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The survey, begun in February 1994, monitors the smoking patterns of Canadians over a 12 month period and to measure any changes in smoking resulting from the decrease in taxes in cigarettes which took place in February 1994 in some provinces. It is related to MDF 82M0006. Updates are included in the microdata file price. A guide for this microdata file is available.

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In Finland the first national health examination surveys were carried out in the 1960s. Comprehensive surveys of nationally representative population samples have been carried out in 1978 to 1980 (The Mini-Finland Health Survey) and in 2000 to 2001 (Health 2000). Surveys of cardiovascular risk factors, so called FinRisk surveys, have assessed their trends every five years. The health examination surveys are an important tool of health monitoring, and, linked with registers also a rich source of data for epidemiological research. The paper also gives examples on reports published from several of these studies.

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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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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.

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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.

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Many population surveys collecting food consumption data use 24 hour recall methodology to capture detailed one day intakes. In order to estimate longer term intakes of foods and nutrients from these data, methods have been developed that required a repeat recall to be collected from at least a subset of responders in order to estimate day to day variability. During the Canadian Community Health Survey Cycle 2.2 Nutrition Focus Survey, most first interviews were collected in person and most repeat interviews were conducted by telephone. This paper looks at the impact of the mode of interview on the reported foods and nutrients on both the first day and the repeat day and on the estimation of intra individual variability between the first and the second interviews.

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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.

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This paper describes the sample design used to satisfy the objectives and logistics of the Canadian Health Measures Survey. Among the challenges in developing the design were the need to select respondents close to clinics, the difficulty of achieving the desired sample size for young people, and subsampling for measures associated with exposure to environmental contaminants. The sample design contains solutions to those challenges: the establishment of collection sites, the use of more than one sample frame, and a respondent selection strategy.

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The National Health and Nutrition Examination Surveys (NHANES) is one of a series of health-related programs sponsored by the United States National Center for Health Statistics. A unique feature of NHANES is the administration of a complete medical examination for each respondent in the sample. To standardize administration, these examinations are carried out in mobile examination centers (MECs). The examination includes physical measurements, tests such as eye and dental examinations, and the collection of blood and urine specimens for laboratory testing. NHANES is an ongoing annual health survey of the noninstitutionalized civilian population of the United States. The major analytic goals of NHANES include estimating the number and percentage of persons in the U.S. population and in designated subgroups with selected diseases and risk factors. The sample design for NHANES needs to create a balance between the requirements for efficient annual and multiyear samples and the flexibility that allows changes in key design parameters to make the survey more responsive to the needs of the research and health policy communities. This paper discusses the challenges involved in designing and implementing a sample selection process that satisfies the goals of NHANES.

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In the last two decades, considerable international effort has been put into the development of summary measures of population health that integrate information of mortality and non-fatal health outcomes and international policy interest in such indicators is increasing. There are two main classes of summary measures of population health: health gaps and health expectancies. The Disability-Adjusted Life Year (DALY) is the best known health gap measure and quantifies the gap between a population's actual health and a normative health goal, defined in terms of a global standard life table specifying the healthy years of life lost due to a death at any given age.

This paper gives an overview of the Global Burden of Disease (GBD) conceptual framework, the relationship of the DALY to other measures of population health, and the GBD analytical approach, with particular attention to issues in (1) dealing with biased and missing data, (2) dealing with uncertainty and (3) specific technical issues in ensuring cross-population comparability. The latter include dealing with variations in quality and completeness of cause of death information, explicit use of a comprehensive framework and internal consistency checks for improving comparability of estimates of incidence, prevalence and mortality for causes, the assessment of disability weights, and techniques for improving the comparability of the assessment of the disease burden attributable to risk factors.

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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 data will be used by Health Canada, the Health Promotion Directorate as well as Researchers for alcohol and other drug use in Canada. Information will be used to inform the decision making and program planning efforts of policy makers, practitioners and researchers.

Description: The main purpose of this survey is to collect data to monitor cigarette smoking in Canada and attempt to measure the effect of cigarette price reductions on smoking behaviour.

Description: The results from this survey will be used to develop new programs to educate and inform the public, and to determine the need for new services.

Description: The main objective of the survey is to provide continual and reliable data on tobacco, alcohol and drug use and related issues, with the primary focus on 15 to 24 year olds.

Description: The two primary objectives of the General Social Survey (GSS) are: to gather data on social trends in order to monitor changes in the living conditions and well being of Canadians over time; and to provide information on specific social policy issues of current or emerging interest. The purpose of this survey is to provide a snapshot of the lives of caregivers and care receivers in today's Canada.

Description: The objective of the survey was to provide information on the experiences of respondents in using some selected health care services. The survey focused on two main topics: waiting for specialized services for a new illness or condition and access to basic health care.

Description: The NPHS Health Institutions Component survey data support national level estimates only.

Description: The National Population Health Survey (NPHS) collects information related to the health of the Canadian population and related socio-demographic information.

Description: The purpose of the Canadian Community Health Survey - Mental Health (CCHS - Mental Health) is to collect information about mental health status, access to and perceived need for formal and informal services and supports, functioning and disability, and covariates.

Description: The Maternity Experiences Survey (MES) is the first Canadian survey devoted to pregnancy, labour, birth and postpartum experiences. It is a core project of the Canadian Perinatal Surveillance System of the Public Health Agency of Canada who sponsored this survey.