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All (2,922) (2,300 to 2,310 of 2,922 results)

  • Articles and reports: 11-522-X200600110419
    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.

    Release date: 2008-03-17

  • Articles and reports: 11-522-X200600110420
    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.

    Release date: 2008-03-17

  • Articles and reports: 11-522-X200600110421
    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.

    Release date: 2008-03-17

  • Articles and reports: 11-522-X200600110422
    Description:

    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.

    Release date: 2008-03-17

  • Articles and reports: 11-522-X200600110423
    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.

    Release date: 2008-03-17

  • Articles and reports: 11-522-X200600110426
    Description:

    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.

    Release date: 2008-03-17

  • Articles and reports: 11-522-X200600110427
    Description:

    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.

    Release date: 2008-03-17

  • Articles and reports: 11-522-X200600110428
    Description:

    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.

    Release date: 2008-03-17

  • Articles and reports: 11-522-X200600110429
    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.

    Release date: 2008-03-17

  • Articles and reports: 11-522-X200600110430
    Description:

    In this presentation, Mr. Murray discusses the notion of functional health status and proposes an agenda for developing comparable methods of measuring this concept.

    Release date: 2008-03-17
Data (1,096)

Data (1,096) (30 to 40 of 1,096 results)

Analysis (1,694)

Analysis (1,694) (40 to 50 of 1,694 results)

  • Journals and periodicals: 89-652-X
    Geography: Canada
    Description: This publication presents key highlights and results from the General Social Survey on the topics of caregiving and care receiving; social identity; giving, volunteering and participating; victimization; time use; and family.
    Release date: 2024-06-05

  • Stats in brief: 11-629-X2024002
    Description: Using data from the 2022 Canadian Survey on Disability, this American Sign Language video examines disability characteristics among Canadians aged 15 years of age and older, as well as their employment experiences and information on income and poverty, and unmet needs for disability supports because of cost.
    Release date: 2024-05-28

  • Articles and reports: 89-654-X2024001
    Description: This article is the first main release by Statistics Canada based on findings from the 2022 Canadian Survey on Disability (CSD). It is divided into three sections—demographics, employment, and income—and provides a general snapshot on persons with disabilities to inform on government priorities and community interest in the areas of disability prevalence, labour market participation, and income inequality. Where possible, the report will be compared with results from the 2017 CSD to provide insight into changes over the past five years.
    Release date: 2024-05-28

  • Stats in brief: 11-001-X202414938144
    Description: Release published in The Daily – Statistics Canada’s official release bulletin
    Release date: 2024-05-28

  • Stats in brief: 11-001-X202414834943
    Description: Release published in The Daily – Statistics Canada’s official release bulletin
    Release date: 2024-05-27

  • Stats in brief: 11-001-X202413737696
    Description: Release published in The Daily – Statistics Canada’s official release bulletin
    Release date: 2024-05-16

  • Articles and reports: 82-003-X202400500001
    Description: Over the last several years, recreational screen time has been increasing. During the COVID-19 pandemic, recreational screen time rose among Canadian youth and adults, and those who increased screen time had poorer self-reported mental health. Using data from the 2017, 2018, and 2021 Canadian Community Health Survey, the objective of this study was to compare recreational screen time behaviours before (2018) and during (2021) the pandemic, looking at patterns by sociodemographic subgroups of the Canadian population.
    Release date: 2024-05-15

  • Articles and reports: 82-003-X202400500002
    Description: The availability of measures to operationalize allostatic load—the cumulative toll on the body of responding to stressor demands—in population health surveys may differ across years or surveys, hampering analyses on the entire sampled population. In this study, the impacts of variable selection and calculation method were evaluated to generate an allostatic load index applicable across all cycles of the Canadian Health Measures Survey (CHMS). CHMS data were used to compare individual and population-level changes in scores for allostatic load indexes in which other commonly used measures were substituted for waist-to-hip ratio. Associations between the various constructs and indicators of socioeconomic position were then assessed to evaluate whether relationships were maintained across indexes.
    Release date: 2024-05-15

  • Stats in brief: 11-627-M2024022
    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.
    Release date: 2024-04-22

  • Stats in brief: 11-629-X2024001
    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.
    Release date: 2024-04-22
Reference (107)

Reference (107) (70 to 80 of 107 results)

  • Surveys and statistical programs – Documentation: 5020
    Description: The Joint Canada/United States Survey of Health (JCUSH) will collect information from both Canadian and U.S. residents, about their health, their use of health care and their functional limitations.

  • Surveys and statistical programs – Documentation: 5049
    Description: The Canadian Community Health Survey - Nutrition is a national health survey that collected information from Canadians about their eating habits and use of nutritional supplements, as well as other health factors.

  • Surveys and statistical programs – Documentation: 5054
    Description: This survey collected new statistical information to measure the size and scope of the natural health product activities in Canada. National estimates of products manufactured, imported and sold in Canada were produced by product class, based on active ingredients used.

  • Surveys and statistical programs – Documentation: 5063
    Description: The principal survey objective was to create a comprehensive national source of objective information about the prices faced by persons with disabilities, their families, and health and social service organizations.

  • Surveys and statistical programs – Documentation: 5071
    Description: The Canadian Health Measures Survey (CHMS) aims to collect important health information through a household interview and direct physical measures at a mobile examination centre (MEC), sometimes referred to as a mobile clinic.

  • Surveys and statistical programs – Documentation: 5080
    Description: The National Survey of the Work and Health of Nurses (NSWHN) focuses on the work and health of nurses in Canada.

  • Surveys and statistical programs – Documentation: 5084
    Description: The purpose of this survey is to collect information about the mental health status and the need for mental health services in the Canadian Forces.

  • Surveys and statistical programs – Documentation: 5101
    Description: The central objective of the British Columbia Smoking Survey (BCSS) was to gather information related to the smoking history, mobility history and risk propensity of British Columbia residents.

  • Surveys and statistical programs – Documentation: 5113
    Description: The survey collects expenditure data on health research and development activities by therapeutic class in the Canadian business enterprise sector.

  • Surveys and statistical programs – Documentation: 5125
    Description: The Canadian Coroner and Medical Examiner Database (CCMED), by storing information on deaths reported to Coroners and Medical Examiners (C/MES), will facilitate the identification and characterization of emerging and known safety hazards with the aim of contributing to a decrease in preventable deaths among Canadians.

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