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- Canadian Health Measures Survey (5)
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All (28)
All (28) (0 to 10 of 28 results)
- Articles and reports: 82-003-X202300400001Description: To date, population estimates of hypertension prevalence among children and adolescents in Canada have been based on clinical guidelines in the National High Blood Pressure Education Program’s 2004 Fourth Report on the Diagnosis, Evaluation, and Treatment of High Blood Pressure in Children and Adolescents (NHBPEP 2004). In 2017, the American Academy of Pediatrics published updated guidelines in Clinical Practice Guideline for Screening and Management of High Blood Pressure in Children and Adolescents (AAP 2017), followed by Hypertension Canada in 2020 with its publication of Comprehensive Guidelines for the Prevention, Diagnosis, Risk Assessment, and Treatment of Hypertension in Adults and Children (HC 2020). This is the first study in Canada to compare the national estimates of the prevalence of child and adolescent hypertension based on AAP 2017 with estimates of prevalence based on NHBPEP 2004 and HC 2020. The main objectives of this analysis were to apply AAP 2017 and HC 2020 to all six cycles of Canadian Health Measures Survey data available to date and examine the effect on population estimates of hypertension prevalence by sex and age group among children and adolescents aged 6 to 17. This study also examines the impact of applying AAP 2017 across time and selected characteristics, describes those who are reclassified into a higher BP category under AAP 2017, and examines differences in hypertension prevalence resulting from applying HC 2020 versus AAP 2017.Release date: 2023-04-19
- Articles and reports: 82-003-X201200111633Geography: CanadaDescription:
This paper explains the methodology for creating Geozones, which are area-based thresholds of population characteristics derived from census data, which can be used in the analysis of social or economic differences in health and health service utilization.
Release date: 2012-03-21 - Articles and reports: 11-522-X200800010962Description:
The ÉLDEQ initiated a special data gathering project in March 2008 with the collection of biological materials from 1,973 families. During a typical visit, a nurse collects a blood or saliva sample from the selected child, makes a series of measurements (anthropometry, pulse rate and blood pressure) and administers questionnaires. Planned and supervised by the Institut de la Statistique du Québec (ISQ) and the Université de Montréal, the study is being conducted in cooperation with two private firms and a number of hospitals. This article examines the choice of collection methods, the division of effort among the various players, the sequence of communications and contacts with respondents, the tracing of families who are not contacted, and follow-up on the biological samples. Preliminary field results are also presented.
Release date: 2009-12-03 - Articles and reports: 82-003-X200800310681Geography: CanadaDescription:
This article describes the methods used to link census data from the long-form questionnaire to mortality data, and reports simple findings for the major groups, defined by income, education, occupation, language and ethnicity, Aboriginal or visible minority status, and disability status.
Release date: 2008-09-17 - 5. A case study in using model-assisted estimation to integrate survey and administrative data ArchivedArticles and reports: 11-522-X200600110403Description:
This paper reports research to introduce model-assisted estimation into the American Community Survey (ACS), a large-scale ongoing survey intended to replace the long-form sample in the U.S. decennial censuses. The proposed application integrates information from administrative records into ACS estimation. The approach to model-assisted estimation restricts the use of the administrative records to adjustments to the survey weights, while retaining the data on characteristics reported by respondents in the ACS. Although the ACS is a general-purpose survey not specifically tied to health, this case study may suggest possible methodological applications in areas of health statistics.
Release date: 2008-03-17 - 6. Learning the unique and peculiar challenges of direct health measures surveys: the Canadian experience ArchivedArticles and reports: 11-522-X200600110412Description:
The Canadian Health Measures Survey (CHMS) represents Statistics Canada's first health survey employing a comprehensive battery of direct physical measurements of health. The CHMS will be collecting directly measured health data on a representative sample of 5000 Canadians aged 6 to 79 in 2007 to 2009. After a comprehensive in-home health interview, respondents report to a mobile examination centre where direct health measures are performed. Measures include fitness tests, anthropometry, objective physical activity monitoring, spirometry, blood pressure measurements, oral health measures and blood and urine sampling. Blood and urine are analyzed for measures of chronic disease, infectious disease, nutritional indicators and environmental biomarkers. This survey has many unique and peculiar challenges rarely experienced by most Statistics Canada surveys; some of these challenges are described in this paper. The data collected through the CHMS is unique and represents a valuable health surveillance and research resource for Canada.
Release date: 2008-03-17 - 7. The U.S. National Health and Nutrition Examination Survey: what forty years of experience has taught us ArchivedArticles and reports: 11-522-X200600110413Description:
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.
Release date: 2008-03-17 - 8. Direct health measures surveys in Finland ArchivedArticles and reports: 11-522-X200600110414Description:
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.
Release date: 2008-03-17 - Articles and reports: 11-522-X200600110419Description:
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 - 10. Exploring the impact of mode on key health estimates in the National Health Interview Survey ArchivedArticles and reports: 11-522-X200600110421Description:
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
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Analysis (28)
Analysis (28) (0 to 10 of 28 results)
- Articles and reports: 82-003-X202300400001Description: To date, population estimates of hypertension prevalence among children and adolescents in Canada have been based on clinical guidelines in the National High Blood Pressure Education Program’s 2004 Fourth Report on the Diagnosis, Evaluation, and Treatment of High Blood Pressure in Children and Adolescents (NHBPEP 2004). In 2017, the American Academy of Pediatrics published updated guidelines in Clinical Practice Guideline for Screening and Management of High Blood Pressure in Children and Adolescents (AAP 2017), followed by Hypertension Canada in 2020 with its publication of Comprehensive Guidelines for the Prevention, Diagnosis, Risk Assessment, and Treatment of Hypertension in Adults and Children (HC 2020). This is the first study in Canada to compare the national estimates of the prevalence of child and adolescent hypertension based on AAP 2017 with estimates of prevalence based on NHBPEP 2004 and HC 2020. The main objectives of this analysis were to apply AAP 2017 and HC 2020 to all six cycles of Canadian Health Measures Survey data available to date and examine the effect on population estimates of hypertension prevalence by sex and age group among children and adolescents aged 6 to 17. This study also examines the impact of applying AAP 2017 across time and selected characteristics, describes those who are reclassified into a higher BP category under AAP 2017, and examines differences in hypertension prevalence resulting from applying HC 2020 versus AAP 2017.Release date: 2023-04-19
- Articles and reports: 82-003-X201200111633Geography: CanadaDescription:
This paper explains the methodology for creating Geozones, which are area-based thresholds of population characteristics derived from census data, which can be used in the analysis of social or economic differences in health and health service utilization.
Release date: 2012-03-21 - Articles and reports: 11-522-X200800010962Description:
The ÉLDEQ initiated a special data gathering project in March 2008 with the collection of biological materials from 1,973 families. During a typical visit, a nurse collects a blood or saliva sample from the selected child, makes a series of measurements (anthropometry, pulse rate and blood pressure) and administers questionnaires. Planned and supervised by the Institut de la Statistique du Québec (ISQ) and the Université de Montréal, the study is being conducted in cooperation with two private firms and a number of hospitals. This article examines the choice of collection methods, the division of effort among the various players, the sequence of communications and contacts with respondents, the tracing of families who are not contacted, and follow-up on the biological samples. Preliminary field results are also presented.
Release date: 2009-12-03 - Articles and reports: 82-003-X200800310681Geography: CanadaDescription:
This article describes the methods used to link census data from the long-form questionnaire to mortality data, and reports simple findings for the major groups, defined by income, education, occupation, language and ethnicity, Aboriginal or visible minority status, and disability status.
Release date: 2008-09-17 - 5. A case study in using model-assisted estimation to integrate survey and administrative data ArchivedArticles and reports: 11-522-X200600110403Description:
This paper reports research to introduce model-assisted estimation into the American Community Survey (ACS), a large-scale ongoing survey intended to replace the long-form sample in the U.S. decennial censuses. The proposed application integrates information from administrative records into ACS estimation. The approach to model-assisted estimation restricts the use of the administrative records to adjustments to the survey weights, while retaining the data on characteristics reported by respondents in the ACS. Although the ACS is a general-purpose survey not specifically tied to health, this case study may suggest possible methodological applications in areas of health statistics.
Release date: 2008-03-17 - 6. Learning the unique and peculiar challenges of direct health measures surveys: the Canadian experience ArchivedArticles and reports: 11-522-X200600110412Description:
The Canadian Health Measures Survey (CHMS) represents Statistics Canada's first health survey employing a comprehensive battery of direct physical measurements of health. The CHMS will be collecting directly measured health data on a representative sample of 5000 Canadians aged 6 to 79 in 2007 to 2009. After a comprehensive in-home health interview, respondents report to a mobile examination centre where direct health measures are performed. Measures include fitness tests, anthropometry, objective physical activity monitoring, spirometry, blood pressure measurements, oral health measures and blood and urine sampling. Blood and urine are analyzed for measures of chronic disease, infectious disease, nutritional indicators and environmental biomarkers. This survey has many unique and peculiar challenges rarely experienced by most Statistics Canada surveys; some of these challenges are described in this paper. The data collected through the CHMS is unique and represents a valuable health surveillance and research resource for Canada.
Release date: 2008-03-17 - 7. The U.S. National Health and Nutrition Examination Survey: what forty years of experience has taught us ArchivedArticles and reports: 11-522-X200600110413Description:
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.
Release date: 2008-03-17 - 8. Direct health measures surveys in Finland ArchivedArticles and reports: 11-522-X200600110414Description:
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.
Release date: 2008-03-17 - Articles and reports: 11-522-X200600110419Description:
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 - 10. Exploring the impact of mode on key health estimates in the National Health Interview Survey ArchivedArticles and reports: 11-522-X200600110421Description:
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
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