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Featured researches published by Kim Reimer.


Canadian Medical Association Journal | 2012

Diagnosed hypertension in Canada: incidence, prevalence and associated mortality

Cynthia Robitaille; Sulan Dai; Chris Waters; Lidia Loukine; Christina Bancej; Susan Quach; Joellyn Ellison; Norman R.C. Campbell; Karen Tu; Kim Reimer; Robin Walker; Mark Smith; Claudia Blais; Hude Quan

Background: Hypertension is a leading risk factor for cardiovascular diseases. Our objectives were to examine the prevalence and incidence of diagnosed hypertension in Canada and compare mortality among people with and without diagnosed hypertension. Methods: We obtained data from linked health administrative databases from each province and territory for adults aged 20 years and older. We used a validated case definition to identify people with hypertension diagnosed between 1998/99 and 2007/08. We excluded pregnant women from the analysis. Results: This retrospective population-based study included more than 26 million people. In 2007/08, about 6 million adults (23.0%) were living with diagnosed hypertension and about 418 000 had a new diagnosis. The age-standardized prevalence increased significantly from 12.5% in 1998/99 to 19.6% in 2007/08, and the incidence decreased from 2.7 to 2.4 per 100. Among people aged 60 years and older, the prevalence was higher among women than among men, as was the incidence among people aged 75 years and older. The prevalence and incidence were highest in the Atlantic region. For all age groups, all-cause mortality was higher among adults with diagnosed hypertension than among those without diagnosed hypertension. Interpretation: The overall prevalence of diagnosed hypertension in Canada from 1998 to 2008 was high and increasing, whereas the incidence declined during the same period. These findings highlight the need to continue monitoring the effectiveness of efforts for managing hypertension and to enhance public health programs aimed at preventing hypertension.


Pediatric Diabetes | 2012

Validation of classification algorithms for childhood diabetes identified from administrative data

Saskia E Vanderloo; Jeffrey A. Johnson; Kim Reimer; Patrick McCrea; Kimberly Nuernberger; Hans Krueger; Sema K Aydede; Jean-Paul Collet; Shazhan Amed

Vanderloo SE, Johnson JA, Reimer K, McCrea P, Nuernberger K, Krueger H, Aydede SK, Collet J‐P, Amed S. Validation of classification algorithms for childhood diabetes identified from administrative data.


Canadian Journal of Cardiology | 2013

Comparison of Diagnosed, Self-Reported, and Physically-Measured Hypertension in Canada

Kristin M. Atwood; Cynthia Robitaille; Kim Reimer; Sulan Dai; Helen Johansen; Mark J. Smith

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.


Canadian Journal of Cardiology | 2014

Assessing the Burden of Hospitalized and Community-Care Heart Failure in Canada

Claudia Blais; Sulan Dai; Chris Waters; Cynthia Robitaille; Mark Smith; Lawrence W. Svenson; Kim Reimer; Jill Casey; Rolf Puchtinger; Helen Johansen; Yana Gurevich; Lisa M. Lix; Hude Quan; Karen Tu

BACKGROUND The surveillance of heart failure (HF) is currently conducted using either survey or hospital data, which have many limitations. Because Canada is collecting medical information in administrative health data, the present study seeks to propose methods for the national surveillance of HF using linked population-based data. METHODS Linked administrative data from 5 Canadian provinces were analyzed to estimate prevalence, incidence, and mortality rates for persons with HF between 1996/1997 and 2008/2009 using 2 case definitions: (1) 1 hospitalization with an HF diagnosis in any field (H_Any) and (2) 1 hospitalization in any field or at least 2 physician claims within a 1-year period (H_Any_2P). One hospitalization with an HF diagnosis code in the most responsible diagnosis field (H_MR) was also compared. Rates were calculated for individuals aged ≥ 40 years. RESULTS In 2008/2009, combining the 5 provinces (approximately 82% of Canadas total population), both age-standardized HF prevalence and incidence were underestimated by 39% and 33%, respectively, with H_Any when compared with H_Any_2P. Mortality was higher in patients with H_MR compared with H_Any. The degree of underestimation varied by province and by age, with older age groups presenting the largest differences. Prevalence estimates were stable over the years, especially for the H_Any_2P case definition. CONCLUSIONS The prevalence and incidence of HF using inpatient data alone likely underestimates the population rates by at least 33%. The addition of physician claims data is likely to provide a more inclusive estimate of the burden of HF in Canada.


Pediatric Diabetes | 2014

Care delivery in youth with type 2 diabetes – are we meeting clinical practice guidelines?

Shazhan Amed; Kimberly Nuernberger; Kim Reimer; Hans Krueger; Sema K Aydede; Dieter Ayers; Jean-Paul Collet

Studies indicate high rates of treatment failure and early onset diabetes‐related complications in youth‐onset type 2 diabetes (T2D). We aim to describe the quality of care provided to children and youth with T2D.


BMC Cardiovascular Disorders | 2013

Surveillance of ischemic heart disease should include physician billing claims: population-based evidence from administrative health data across seven Canadian provinces

Cynthia Robitaille; Christina Bancej; Sulan Dai; Karen Tu; Drona Rasali; Claudia Blais; Céline Plante; Mark Smith; Lawrence W. Svenson; Kim Reimer; Jill Casey; Rolf Puchtinger; Helen Johansen; Yana Gurevich; Chris Waters; Lisa M. Lix; Hude Quan

BackgroundCanadian provinces and territories routinely collect health information for administrative purposes. This study used Canadian medical and hospital administrative data for population-based surveillance of diagnosed ischemic heart disease (IHD).MethodsHospital discharge abstracts and physician billing claims data from seven provinces were analyzed to estimate prevalence and incidence of IHD using three validated algorithms: a) one hospital discharge abstract with an IHD diagnosis or procedure code (1H); b) 1H or at least three physician claims within a one-year period (1H3P) and c) 1H or at least two physician claims within a one-year period (1H2P). Crude and age-standardized prevalence and incidence rates were calculated for Canadian adults aged 20 +.ResultsIHD prevalence and incidence varied by province, were consistently higher among males than females, and increased with age. Prevalence and incidence were lower using the 1H method compared to using the 1H2P or 1H3P methods in all provinces studied for all age groups. For instance, in 2006/07, crude prevalence by province ranged from 3.4%-5.5% (1H), from 4.9%-7.7% (1H3P) and from 6.0%-9.2% (1H2P). Similarly, crude incidence by province ranged from 3.7-5.9 per 1,000 (1H), from 5.0-6.9 per 1,000 (1H3P) and from 6.1-7.9 per 1,000 (1H2P).ConclusionsStudy findings show that incidence and prevalence of diagnosed IHD will be underestimated by as much as 50% using inpatient data alone. The addition of physician claims data are needed to better assess the burden of IHD in Canada.


Pediatric Diabetes | 2018

Type 1 Diabetes Incidence and prevalence trends in a cohort of Canadian children and youth

Danya A. Fox; Nazrul Islam; Jenny Sutherland; Kim Reimer; Shazhan Amed

Incidence rates of type 1 diabetes have long been on the rise across the globe, however, there is emerging evidence that the rate of rise may be slowing. The objective of this study was to describe trends in the incidence and prevalence of type 1 diabetes in a sample of Canadian children and youth.


Pediatric Diabetes | 2018

Incidence and prevalence trends of youth-onset type 2 diabetes in a cohort of Canadian youth: 2002-2013

Shazhan Amed; Nazrul Islam; Jenny Sutherland; Kim Reimer

Youth‐onset type 2 diabetes is an emerging disease. We estimated incidence and prevalence trends of youth‐onset type 2 diabetes between 2002 and 2013 in the Canadian province of British Columbia.


Health Promotion and Chronic Disease Prevention in Canada | 2017

Estimating multimorbidity prevalence with the Canadian Chronic Disease Surveillance System

Allison Feely; Lisa M. Lix; Kim Reimer

INTRODUCTION The Public Health Agency of Canadas Canadian Chronic Disease Surveillance System (CCDSS) uses a validated, standardized methodology to estimate prevalence of individual chronic diseases, such as diabetes. Expansion of the CCDSS for surveillance of multimorbidity, the co-occurrence of two or more chronic diseases, could better inform health promotion and disease prevention. The objective of this study was to assess the feasibility of using the CCDSS to estimate multimorbidity prevalence. METHODS We used administrative health data from seven provinces and three territories and five validated chronic conditions (i.e. cardiovascular disease, respiratory disease, mental illness, hypertension and diabetes) to estimate multimorbidity prevalence. We produced age-standardized (using Canadas 1991 population) and age-specific estimates for two multimorbidity definitions: (1) two or more conditions, and (2) three or more conditions from the five validated conditions, by sex, fiscal year and geography. RESULTS Among Canadians aged 40 years and over in the fiscal year 2011/12, the prevalence of two or more and three or more chronic conditions was 26.5% and 10.2%, respectively, which is comparable to other estimates based on administrative health data. The increase in multimorbidity prevalence with increasing age was similar across provinces. The difference in prevalence for males and females varied by province and territory. We observed substantial variation in estimates over time. Results were consistent for the two definitions of multimorbidity. CONCLUSION The CCDSS methodology can produce comparative estimates of multimorbidity prevalence across provinces and territories, but there are challenges in using it to estimate temporal trends. Further expansion of the CCDSS in the number and breadth of validated case definitions will improve the accuracy of multimorbidity surveillance for the Canadian population.


International Journal for Population Data Science | 2018

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

Lisa M. Lix; James Ayles; Sharon Bartholomew; Charmaine Cooke; Joellyn Ellison; Valerie Emond; Naomi Hamm; Heather Hannah; Sonia Jean; Shannon LeBlanc; J. Michael Paterson; Catherine Pelletier; Karen Phillips; Rolf Puchtinger; Kim Reimer; Cynthia Robitaille; Mark A. Smith; Lawrence W. Svenson; Karen Tu; Linda VanTil; Sean Waits; Louise Pelletier

Chronic diseases have a major impact on populations and healthcare systems worldwide. Administrative health data are an ideal resource for chronic disease surveillance because they are population-based and routinely collected. For multi-jurisdictional surveillance, a distributed model is advantageous because it does not require individual-level data to be shared across jurisdictional boundaries. Our objective is to describe the process, structure, benefits, and challenges of a distributed model for chronic disease surveillance across all Canadian provinces and territories (P/Ts) using linked administrative data. The Public Health Agency of Canada (PHAC) established the Canadian Chronic Disease Surveillance System (CCDSS) in 2009 to facilitate standardized, national estimates of chronic disease prevalence, incidence, and outcomes. The CCDSS primarily relies on linked health insurance registration files, physician billing claims, and hospital discharge abstracts. Standardized case definitions and common analytic protocols are applied to the data for each P/T; aggregate data are shared with PHAC and summarized for reports and open access data initiatives. Advantages of this distributed model include: it uses the rich data resources available in all P/Ts; it supports chronic disease surveillance capacity building in all P/Ts; and changes in surveillance methodology can be easily developed by PHAC and implemented by the P/Ts. However, there are challenges: heterogeneity in administrative databases across jurisdictions and changes in data quality over time threaten the production of standardized disease estimates; a limited set of databases are common to all P/Ts, which hinders potential CCDSS expansion; and there is a need to balance comprehensive reporting with P/T disclosure requirements to protect privacy. The CCDSS distributed model for chronic disease surveillance has been successfully implemented and sustained by PHAC and its P/T partners. Many lessons have been learned about national surveillance involving jurisdictions that are heterogeneous with respect to healthcare databases, expertise and analytical capacity, population characteristics, and priorities.

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Lisa M. Lix

University of Manitoba

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Shazhan Amed

University of British Columbia

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Cynthia Robitaille

Public Health Agency of Canada

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Karen Tu

International Council for the Exploration of the Sea

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Sulan Dai

Public Health Agency of Canada

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Christina Bancej

Public Health Agency of Canada

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Jean-Paul Collet

University of British Columbia

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Sema K Aydede

University of British Columbia

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Chris Waters

Public Health Agency of Canada

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