Literature DB >> 23395221

Comparison of diagnosed, self-reported, and physically-measured hypertension in Canada.

Kristin M Atwood1, Cynthia J Robitaille, Kim Reimer, Sulan Dai, Helen L Johansen, Mark J Smith.   

Abstract

BACKGROUND: Hypertension is a substantial health concern because it poses significant risks for cardiovascular morbidity and mortality and is highly prevalent in the population. Tracking hypertension is important because it is a risk factor for other conditions, but prevalence estimates might vary depending on the data source used.
METHODS: This report describes 3 national population-based data sources for estimating hypertension prevalence in Canada and discusses their strengths and weaknesses to aid in their use for policy and program planning. They are compared based on: sample coverage, case identification, and prevalence estimates.
RESULTS: Each source produces a different measure of hypertension prevalence, as follows: (1) diagnosed hypertension from the Canadian Chronic Disease Surveillance System (CCDSS) (2007/2008); (2) self-reported diagnosed hypertension from the Canadian Community Health Survey (CCHS) (2007-2008); and, (3) physically-measured hypertension from the Canadian Health Measures Survey (CHMS) (2007-2009). Crude rates and counts of hypertension prevalence among individuals aged 20 to 79 years of age, excluding pregnant women, are compared, resulting in prevalence ranging from 18.2% in self-report data to 20.3% in diagnosed data. The data sources differ in terms of target population, case identification, and limitations, which affects the estimates.
CONCLUSIONS: Each source has unique strengths and is best suited for addressing particular research questions. For example, diagnosed hypertension can be used to determine health care utilization patterns, self-reported to examine health determinants, and measured high blood pressure to improve awareness, treatment, and control. Combined, they can address multiple issues and increase our knowledge of hypertension in Canada.
Copyright © 2013 Canadian Cardiovascular Society. All rights reserved.

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Year:  2013        PMID: 23395221     DOI: 10.1016/j.cjca.2012.11.019

Source DB:  PubMed          Journal:  Can J Cardiol        ISSN: 0828-282X            Impact factor:   5.223


  7 in total

1.  Trends and Regional Variation in Prevalence of Cardiovascular Risk Factors and Association With Socioeconomic Status in Canada, 2005-2016.

Authors:  Haijiang Dai; Arwa Younis; Jude Dzevela Kong; Nicola Luigi Bragazzi; Jianhong Wu
Journal:  JAMA Netw Open       Date:  2021-08-02

2.  Prevalence, incidence, awareness and control of hypertension in the province of Quebec: perspective from administrative and survey data.

Authors:  Claudia Blais; Louis Rochette; Denis Hamel; Paul Poirier
Journal:  Can J Public Health       Date:  2014-02-03

3.  Refining hypertension surveillance to account for potentially misclassified cases.

Authors:  Mingkai Peng; Guanmin Chen; Lisa M Lix; Finlay A McAlister; Karen Tu; Norm R Campbell; Brenda R Hemmelgarn; Lawrence W Svenson; Hude Quan
Journal:  PLoS One       Date:  2015-03-24       Impact factor: 3.240

4.  Trend analysis for national surveys: Application to all variables from the Canadian Health Measures Survey cycle 1 to 4.

Authors:  Yi-Sheng Chao; Chao-Jung Wu; Hsing-Chien Wu; Wei-Chih Chen
Journal:  PLoS One       Date:  2018-08-09       Impact factor: 3.240

5.  Combining population-based administrative health records and electronic medical records for disease surveillance.

Authors:  Saeed Al-Azazi; Alexander Singer; Rasheda Rabbani; Lisa M Lix
Journal:  BMC Med Inform Decis Mak       Date:  2019-07-02       Impact factor: 2.796

6.  A data quality assessment to inform hypertension surveillance using primary care electronic medical record data from Alberta, Canada.

Authors:  Stephanie Garies; Kerry McBrien; Hude Quan; Donna Manca; Neil Drummond; Tyler Williamson
Journal:  BMC Public Health       Date:  2021-02-02       Impact factor: 3.295

7.  The Canadian Chronic Disease Surveillance System: A model for collaborative surveillance.

Authors:  Lisa M Lix; James Ayles; Sharon Bartholomew; Charmaine A Cooke; Joellyn Ellison; Valerie Emond; Naomi C Hamm; Heather Hannah; Sonia Jean; Shannon LeBlanc; Siobhan O'Donnell; J Michael Paterson; Catherine Pelletier; Karen A M Phillips; Rolf Puchtinger; Kim Reimer; Cynthia Robitaille; Mark Smith; Lawrence W Svenson; Karen Tu; Linda D VanTil; Sean Waits; Louise Pelletier
Journal:  Int J Popul Data Sci       Date:  2018-10-05
  7 in total

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