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CMAJ : Canadian Medical Association Journal logoLink to CMAJ : Canadian Medical Association Journal
. 2009 Jul 7;181(1-2):E19–E28. doi: 10.1503/cmaj.081913

Long-term trends in use of and expenditures for cardiovascular medications in Canada

Cynthia A Jackevicius 1,, Jafna L Cox 1, Daniel Carreon 1, Jack V Tu 1, Stéphane Rinfret 1, Derek So 1, Helen Johansen 1, Dimitri Kalavrouziotis 1, Virginie Demers 1, Karin Humphries 1, Louise Pilote 1, for the Canadian Cardiovascular Outcomes Research Team
PMCID: PMC2704416  PMID: 19581604

Abstract

Background

Medication expenditures have become the fastest growing sector of costs within the Canadian health care system. Evaluation of the use of cardiovascular medications is important to determine the magnitude of the growth, to identify which medications dominate the landscape and to detect interprovincial differences in utilization. We describe long-term trends in the use of and expenditures for cardiovascular medications in Canada, by drug class and by province.

Methods

For these analyses, we used volume and expenditure data related to prescriptions for cardiovascular medications obtained from IMS Health Canada’s CompuScript Audit® database for the period 1996–2006. Here, we describe national and provincial patterns of utilization and expenditures for specified classes of cardiovascular medications.

Results

The use of cardiovascular medications increased sharply in Canada during the study period, with related costs rising by over 200% during this period to surpass $5 billion in 2006. Changes in population demographics, risk factors and inflation appeared to account for about two-thirds of the observed growth in expenditures. Use of newer medication classes (statins, angiotensin-receptor blockers, angiotensin-converting-enzyme inhibitors), for which patented brand name medications predominate, accounted for almost one-third of the cost increases. Interprovincial differences in total expenditures for cardiovascular drugs portrayed a descending gradient from east to west, with greatest variability for the newer drug classes.

Interpretation

Prescriptions and expenditures for cardiovascular medications in Canada escalated over the study period. Projected increases may reach potentially unsustainable levels. Greater emphasis on the use of cost-effective medications is required to limit further increases. Factors influencing interprovincial differences warrant further study.


Cardiovascular disease remains the leading cause of premature death and disability in Canada, representing a major societal and population burden.1 Practice guidelines have emphasized primary and especially secondary prevention of cardiovascular disease through the use of medications to reduce cardiac morbidity and mortality.2 In 2004, Canadians spent more on cardiovascular medications than on any other category of medications.3

We previously reported substantial increases in the utilization of and expenditures for cardiovascular medications in Canada between 1996 and 2001.4 We found that expenditures for cardiovascular medications more than doubled over that 6-year period and that variability in the use of specific classes of cardiac medications existed between provinces. At the time of the study, it was known that many of the medications for which utilization was increasing were associated with improved outcomes and had the potential to offset resource utilization in other sectors of the health care system, such as hospital admissions.

In the 5 years after our first report, evidence continued to accumulate supporting the use of additional classes of cardiovascular medications.516 Also, many cardiovascular practice guidelines were revised, and these updated guidelines could have affected the use of cardiovascular medications.2,1723 The growing size of the elderly population and increases in life expectancy are additional drivers expanding the use of cardiovascular medications.24 Given these varied potential influences, we sought to ascertain long-term trends in the use of and spending on cardiovascular medications in Canada. Regular surveillance of such trends is important to determine whether medications that reduce morbidity and mortality appropriately dominate the landscape, to identify interprovincial differences in drug use and to inform policy-makers who need to consider the cost trends for future planning.

Methods

Study design and data source

We conducted a population-level observational cohort study using data from IMS Health Canada’s CompuScript Audit® database. CompuScript is a source of prescription data obtained by measuring, through an audit, the number and estimated value of prescriptions dispensed from Canadian retail pharmacies (includes markups and professional fees). The CompuScript sample is drawn from the IMS prescription database panel, which comprises over 5000 pharmacies, representing about two-thirds of all retail pharmacies in Canada. The CompuScript panel encompasses more than 2700 stores, each stratified by province, type (chain, independent or banner) and size (large or small). Nonidentifiable electronic extracts from records of dispensed prescriptions are collected monthly from each of these pharmacies. After passing through various quality-control checks, the sample data are projected to the “universe” in each province, and provincial totals are summed to generate a national estimate. The data collected can be used to ascertain prescription volume by drug class and the market share for trending purposes, providing a measure of product utilization. Also available is the cost of the prescription as dispensed (including all mark-ups and the pharmacist’s professional fee). For this study, we used data for the period February 1996 to December 2006. The IMS Health Canada database records aggregate population-wide data rather than patient-specific data.

Analysis

We used descriptive statistics to report the data on utilization of cardiovascular medications. The specific cardiovascular medication classes of interest were oral anticoagulants, thienopyridine antiplatelet agents, nitroglycerin, β-blockers, calcium antagonists, angiotensin-converting-enzyme (ACE) inhibitors, angiotensin-receptor blockers, diuretics and statins (Appendix 1, available at www.cmaj.ca/cgi/content/full/cmaj.081913/DC2). For each class of medications, we described trends for the number of prescriptions, the total expenditures for prescription claims (as extrapolated to the total population) and changes in expenditures over time. We used monthly utilization data to illustrate the changing trends for each medication class, at a national level, over the 11-year study period. Combination products of β-blockers, ACE inhibitors or angiotensin-receptor blockers with diuretics were included in the total numbers for each individual drug product. For interprovincial comparisons of drug use, we used expenditures as a proxy for the total number of prescriptions dispensed. We did this to minimize variability and hence misclassification errors due to differing frequency of prescription refills between provinces. We compared medication expenditures per 100 000 population across provinces, using 2001 Canadian census data for population estimates, to detect any geographic variation.24 We also compared changes in medication expenditures per 100 000 population from 1996–2001 to 2002–2006 between provinces.

Results

The number of prescriptions for all cardiovascular medication classes increased over the study period, with the exception of nitroglycerin products, for which utilization declined (Figure 1). As of 2006, the top 3 cardiovascular medications dispensed in Canada were diuretics, statins and ACE inhibitors, whereas in 1996 the top 3 medications were diuretics, ACE inhibitors and calcium antagonists. Statin use increased rapidly over the decade. By 2006 this drug class was close to surpassing diuretics as the most commonly prescribed class of cardiovascular medications in Canada. Among all of the cardiovascular medication classes, the number of prescriptions increased most sharply for angiotensin-receptor blockers. From 1996 to 2006, the average annual change in the number of cardiovascular prescriptions ranged from an increase of 49.6% (95% confidence interval [CI] 26.5% to 72.6%) for angiotensin-receptor blockers to a decrease of 2.8% (95% CI −4.6% to −1.1%) for sublingual nitroglycerin. The overall average change, for all types of cardiovascular medications, was an increase of 10.3% (95% CI 8.5% to 12.1%) (Table 1).

Figure 1:

Figure 1:

Annual number of drug prescriptions in Canada per 100 000 population, for the period 1996–2006. Each bar represents 1 year of data between 1996 and 2006. Percent changes were calculated as 2006 data in relation to 1996 data. AC = anticoagulants, ACE = angiotensin-converting-enzyme inhibitors, AP = thienopyridine antiplatelets, ARB = angiotensin-receptor antagonists, BB = β-blockers, CA = calcium antagonists, NTG = nitroglycerin, SL = sublingual. Source: IMS Health Canada, Canadian CompuScript Audit® database.

Table 1.

Changes in volume and expenditures for cardiovascular prescriptions, 1996–2006*

Year; $
Drug class; variable 1996 2006 Relative change, % Average annual change, 1996–2006, % (95% CI)
Anticoagulants
No. of prescriptions 1 406 010 4 230 994 200.92 11.7 (10.1 to 13.2)
Prescriptions per 100 000 population 4 686 14 100
Total cost 35 441 354 76 498 554 115.85 8.2 (3.8 to 12.6)
Cost per 100 000 population 118 110 254 935
Mean cost per prescription 25.20 18.08 −28.25
Thienopyridine antiplatelet agents
No. of prescriptions 261 259 2 500 051 856.92 26.2 (16.6 to 35.8)
Prescriptions per 100 000 population 871 8 332
Total cost 23 427 533 240 587 242 926.94 27.2 (15.9 to 38.9)
Cost per 100 000 population 78 073 801 768
Mean cost per prescription 89.64 96.23 7.35
Nitroglycerin
No. of prescriptions 1 470 182 1 326 829 −9.75 −0.9 (−3.8 to 1.9)
Prescriptions per 100 000 population 4 899 4 422
Total cost 56 438 313 50 921 905 −9.77 −0.9 (−3.9 to 2.1)
Cost per 100 000 population 188 083 169 700
Mean cost per prescription 38.39 38.38 −0.03
Sublingual nitroglycerin
No. of prescriptions 941 125 702 684 −25.34 −2.8 (−4.6 to −1.1)
Prescriptions per 100 000 population 3 136 2 342
Total cost 15 832 184 13 304 567 −15.97 −1.7 (−3.6 to 0.2)
Cost per 100 000 population 52 761 44 338
Mean cost per prescription 16.82 18.93 12.54
β-Blockers
No. of prescriptions 6 860 893 14 803 817 115.77 8.0 (6.8 to 9.3)
Prescriptions per 100 000 population 22 864 49 334
Total cost 193 165 515 342 515 800 77.32 5.9 (3.9 to 8.0)
Cost per 100 000 population 643 733 1 141 449
Mean cost per prescription 28.15 23.14 −17.80
Calcium antagonists
No. of prescriptions 7 490 159 13 243 599 76.81 5.9 (4.1 to 7.7)
Prescriptions per 100 000 population 24 961 44 135
Total cost 510 550 730 869 823 073 70.37 5.6 (2.7 to 8.4)
Cost per 100 000 population 1 701 433 2 898 725
Mean cost per prescription 68.16 65.68 −3.64
Angiotensin-converting-enzyme inhibitors
No. of prescriptions 7 488 248 17 605 685 135.11 9.0 (6.5 to 11.5)
Prescriptions per 100 000 population 24 955 58 672
Total cost 404 926 478 956 662 583 136.26 9.1 (6.1 to 12.1)
Cost per 100 000 population 1 349 436 3 188 121
Mean cost per prescription 54.07 54.34 0.50
Angiotensin-receptor blockers
No. of prescriptions 241 096 10 430 651 4226.35 49.6 (26.5 to 72.6)
Prescriptions per 100 000 population 803 34 761
Total cost 13 586 755 608 561 142 4379.08 50.5 (25.7 to 75.3)
Cost per 100 000 population 45 278 2 028 058
Mean cost per prescription 56.39 58.34 3.46
Diuretics
No. of prescriptions 11 648 537 23 615 881 102.74 7.4 (5.1 to 9.7)
Prescriptions per 100 000 population 38 819 78 701
Total cost 133 479 671 245 623 245 84.02 6.4 (3.0 to 9.8)
Cost per 100 000 population 444 827 818 551
Mean cost per prescription 11.46 10.40 −9.25
Statins
No. of prescriptions 3 657 102 21 625 086 491.32 19.6 (15.4 to 23.9)
Prescriptions per 100 000 population 12 187 72 067
Total cost 348 469 169 1 856 909 652 432.88 18.5 (13.2 to 23.8)
Cost per 100 000 population 1 161 289 6 188 236
Mean cost per prescription 95.29 85.87 −9.89
Total
No. of prescriptions 41 464 611 110 085 277 165.49 10.3 (8.5 to 12.1)
Prescriptions per 100 000 population 138 183 366 864
Total cost 1 735 317 702 5 261 407 762 203.20 11.8 (9.3 to 14.3)
Cost per 100 000 population 5 783 025 17 533 880
Mean cost per prescription 41.85 47.79 14.20

Note: CI = confidence interval.

*

Data source: IMS Health Canada, Canadian CompuScript Audit®.

Unless indicated otherwise.

Expenditures for cardiovascular medications grew at a constant rate throughout the 11-year study period, increasing by more than 200% overall (Figure 2). The mean cost per individual cardiovascular prescription increased by 14.2%, from $41.85 in 1996 to $47.79 in 2006 per prescription dispensed (Table 1). In 2006, total costs of cardiovascular medications exceeded $5 billion, with statins accounting for nearly 40% of this spending. As of 2006, the cardiovascular medication classes associated with the highest expenditures were statins, ACE inhibitors and calcium antagonists, in that order. The same drugs accounted for the highest expenditures in 1996, but the order was calcium antagonists, ACE inhibitors and statins (Figure 3). In 2006, calcium antagonists were the fifth highest medication class by utilization, but they represented the third highest medication class for expenditures. Nationwide, angiotensin-receptor blockers were associated with the highest annual rate of increase in expenditures and, given current trends, may soon surpass calcium antagonists and ACE inhibitors in their proportionate contribution to overall expenditures.

Figure 2:

Figure 2:

Costs for cardiovascular medications by year, from 1996 to 2006. Source: IMS Health Canada, Canadian Compu-Script Audit® database.

Figure 3:

Figure 3:

Annual cost for cardiovascular medications in Canada per 100 000 population, for the period 1996–2006. Each bar represents 1 year of data between 1996 and 2006. Percent changes were calculated as 2006 data in relation to 1996 data. AC = anticoagulants, ACE = angiotensin-converting-enzyme inhibitors, AP = thienopyridine antiplatelets, ARB = angiotensin-receptor antagonists, BB = β-blockers, CA = calcium antagonists, NTG = nitroglycerin, SL = sublingual. Source: IMS Health Canada, Canadian CompuScript Audit® database.

The number of prescriptions for antihypertensive drug classes (β-blockers, calcium antagonists, ACE inhibitors, angiotensin-receptor blockers and diuretics) rose by 136% from 1996 to 2005, and associated expenditures rose by 141% during the same period. Even after adjustment for the 91% increase in the number of Canadians with hypertension during the study period, the annual cost of antihypertensive prescriptions per individual with hypertension increased by 19.4%.25,26 Contributors to this increase may also include the 15.6% increase in the annual number of antihypertensive prescriptions dispensed per individual with hypertension (12.21 per year in 1996 and 14.12 per year in 2005) and the 3.3% increase in the mean cost of individual antihypertensive prescriptions ($37.23 per prescription in 1996 and $38.46 per prescription in 2005).

Variations in total expenditures by province

Between 1996 and 2006, the total expenditures for cardiovascular medications dispensed per 100 000 population varied by province. In 2006, total expenditures were lowest in the western provinces and highest in Quebec, New Brunswick and Nova Scotia (Figure 4). We also observed variation in provincial expenditures when we analyzed the data by individual medication class (see Appendix 2, available at www.cmaj.ca/cgi/content/full/cmaj.081913/DC2). In 2006, expenditures were highest for statins and second-highest for ACE inhibitors in all provinces except Quebec, where calcium antagonists represented the second-highest expenditure. Quebec had the highest per capita expenditures for 4 of the 9 cardiovascular medication classes examined (statins, angiotensin-receptor blockers, diuretics and sublingual nitroglycerin), whereas New Brunswick had the highest per capita expenditures for ACE inhibitors, nitroglycerin and calcium antagonists. For all but 3 cardiovascular medication classes, the lowest per capita expenditure occurred in 1 of the 3 westernmost provinces (British Columbia, Alberta or Saskatchewan). The exceptions were angiotensin-receptor blockers and anticoagulants, for which the provinces of Newfoundland and Labrador, and Prince Edward Island (combined) had the lowest expenditures, and ACE inhibitors, for which Quebec had the lowest expenditures.

Figure 4:

Figure 4:

Expenditures for cardiovascular drugs per 100 000 population by province, 1996 and 2006. Source: IMS Health Canada, Canadian CompuScript Audit® database.

There was moderate variation in the rank order of per capita expenditures by medication class within each province in 2006. However, expenditures for those prescriptions varied by more than 2-fold for 4 of the 9 cardiovascular medication classes evaluated.

In 2006, the ratio of highest to lowest provincial per capita expenditures was 2 or more for nitroglycerin (2.6), angiotensin-receptor blockers (2.1), statins (2.1) and β-blockers (2.0) (see Appendix 2), which represents high interprovincial variability in expenditures for these cardiovascular medications.

Temporal changes in expenditures by province

When we compared the first half of the study period (1996–2001) with the second half (2002–2006), we found distinct patterns regarding changes in per capita expenditures for cardiovascular medications by province (Table 2). By far the greatest increases in expenditures were for angiotensin-receptor blockers and thienopyridines, with increases for angiotensin-receptor blockers exceeding 300% in all provinces. This pair of drug classes was followed by statins, for which expenditures increased by more than 120% in all provinces. For most provinces, increases were small to moderate, between 1% and 99%, for ACE inhibitors, diuretics, calcium antagonists, β-blockers and anticoagulants. In most provinces, there was a decline in expenditures associated with nitroglycerin prescriptions dispensed over the study period. Increases in expenditures for most medication classes were greater in the western Canadian provinces than the eastern provinces. Manitoba had the highest or second highest increases in per capita spending for 6 of the 10 medication classes evaluated.

Table 2.

Changes in expenditures for cardiovascular drugs per 100 000 population between 1996–2001 and 2002–2006

graphic file with name 1810e19t2.jpg

Interpretation

In this population-based study, we observed a sharp and steady increase in the use of and expenditures for cardiovascular medications in Canada, with expenditures increasing more than 200% over the decade of study. Cardiovascular medications are the most commonly prescribed drugs in Canada, representing 1 of every 5 prescriptions.27 Expenditures for these drugs are far outpacing overall increases in drug costs and international growth rates for expenditures on cardiovascular drugs from the decade preceding our study.28 A recent Canadian report3 found that between 1994 and 2004, expenditures on all prescription drugs increased by 97%, meaning that the rate of increase in costs for cardiovascular medications was more than twice that estimated for all medication expenditures in Canada.3,27,29 A report of cardiovascular drug use in 12 countries of the Organisation for Economic Co-operation and Development28 cited average annualized growth in expenditures of 6.2% between 1989 and 1999.

We observed no plateau in spending on cardiovascular medications in Canada during the study period. If expenditures continue to increase at these rates, annual costs for cardiovascular medications alone will reach about $10.6 billion in Canada by 2020. In 2007, Canadians spent 17 cents of every health care dollar on medication costs, which represented a 16% increase in proportional health care spending since 1997.29 This rapid escalation in costs for cardiovascular drugs threatens the sustainability of public drug insurance programs. Increases of this magnitude over such a relatively short period deserve further scrutiny.

Increases in the use of cardiovascular medications over time may be explained by changes in demographic characteristics and risk factor profiles of the Canadian population and changes in the economy, as summarized in Table 3. From 1996 to 2006, pharmaceutical-specific inflation in Canada increased by about 11%, which might have contributed to the increased expenditures.30 The Canadian Institute for Health Information has reported that, although total population growth in Canada is about 1.1% annually, the growth has been gradual and was unlikely to account for increases in overall drug expenditures.29 Cardiovascular disease is more prevalent with age, and older people are therefore more likely to require cardiovascular medications. During our study period, the proportion of the Canadian population older than 65 years increased by about 9%.24 Self-reported surveys of risk factors in the Canadian population over time have revealed that prevalence rates of diabetes and hypertension increased dramatically over the decade of our study, whereas rates of obesity increased moderately and smoking rates declined.31 Escalating rates of hypertension may explain increased use of antihypertensive medications in Canada, but not increased use of other medication classes. Overall, these demographic, population and economic factors potentially explain 136% or two-thirds of the increase in cardiovascular medication expenditures that we observed.

Table 3.

Factors potentially influencing cardiovascular drug prescribing in Canada*

Year; % of population
Factor 1994 2005 Relative change, %
Cardiac risk factors
Hypertension 8.2 14.6 77
Diabetes mellitus 2.5 3.6 45
Current smoking 24.4 18.2 −25
Obesity 9.5 11.2 18
Subtotal 115
Other factors 1996 2006
Inflation rate for prescription medications (Consumer Price Index), % 90.8 101.2 11
≥ 65 yr 12.1 13.2 9
Patented drugs sales, relative to all prescription sales in Canada, % 45.0 71.0 58
Subtotal 78
Total 193
*

Data sources: CANSIM,31 Statistics Canada,2426 Canadian Institute for Health Information,27 Patented Medicine Prices Review Board.37

Unless indicated otherwise.

The mean cost of an individual cardiovascular prescription increased by 14.2% between 1996 and 2006, but overall growth in expenditures for cardiovascular medications exceeded 200%. Given that the prices of individual drugs have been relatively stable over the last decade, increases in drug costs are more likely due to increased prescription volume, as determined by the potentially influential factors previously described, and to an increase in the use of newer, more expensive medications.29,32 We observed that the use of newer medication classes, such as angiotensin-receptor blockers and statins, increased at a faster rate than the use of older medication classes, such as diuretics and β-blockers. The use of patented (or brand name) medications as a proportion of sales of all prescription drugs in Canada increased by 58% in the study period, from 45% in 1996 to 71% in 2006.33 This transition to greater use of patented medications, which tend to be more expensive than nonpatented (generic) medications, potentially explains about 60% of the increased expenditures that we observed.29,33 Scrutiny of this shift is warranted, particularly where a class effect has been demonstrated, since older, more established and hence less expensive medications may be the most cost-effective option.34,35

Between 1996 and 2006, an average of 88 new patented drugs were made available annually in Canada, with only 20%–25% of these representing new active substances.33 This means that many of the new brand name medications may not represent major therapeutic advances. Morgan and colleagues36 recently studied overall drug expenditures in one Canadian province, British Columbia, and found that 80% of the increases in drug costs were due to use of new patented medications that were not considered to offer an important therapeutic advantage.

The costs of generic drugs may also be contributing to rising cardiovascular drug costs. The median price of generic drugs is higher in Canada than in 11 other developed countries.37 The National Pharmaceutical Strategy noted that if Canada had not exceeded the international median price for generic drugs in 2005, the country could have saved $1.5 billion in medication costs during that year. Given that cardiovascular medications account for about 20%–25% of all drug costs, a saving of about $350 million per year could have accrued from more controlled pricing within this group of drugs alone.38

We found that the medication classes with the greatest increases in number of prescriptions dispensed and associated expenditures were angiotensin-receptor blockers, antiplatelet agents, statins and ACE inhibitors. Many of the medications in these classes are brand name drugs, particularly for angiotensin-receptor blockers, which had the largest percentage increases in use and costs. Numerous clinical trials and guide- lines have been published in recent years that provide evidence supporting the expanded use of these drug classes.2,523 However, whether these drugs should be replacing older, established medications is debatable.34,35 The recommendations in hypertension guidelines, which have traditionally favoured relatively cheaper diuretics and β-blockers as first-line therapies, have been revised over the years to include more expensive ACE inhibitors, angiotensin-receptor blockers and calcium antagonists as possible first-line agents. There is also an increasing trend for recommending combination therapy if there is only a partial response to monotherapy, whereas previous recommendations suggested dose escalation or switching to an alternative monotherapy if the initial treatment was only partially effective.19,20 These guideline changes, along with the increasing prevalence of hypertension in Canada, may have influenced the increased use of antihypertensive medications, particularly newer, more expensive agents, such as ACE inhibitors and angiotensin-receptor blockers.39

Total per capita spending on cardiovascular prescriptions differed across the provinces by about 50%, representing variability in expenditures for cardiovascular medications across Canada. Variability was especially high for the newer medication classes, such as angiotensin-receptor blockers and statins. We found a descending east-to-west gradient in the use of and attendant cost for cardiovascular medications, with higher rates of both use and expenditures in eastern Canada. The prevalence of cardiac risk factors and overt cardiovascular disease has been found to have a east-to-west gradient, with higher rates in the east.40 Potentially, then, some of the increased use may appropriately reflect greater clinical need. Quebec, New Brunswick and Nova Scotia had higher per capita expenditures for cardiovascular drugs than the other provinces. Our observation of Quebec’s higher expenditures for cardiovascular medications is consistent with a 2007 report on drug expenditures from the Canadian Institute for Health Information, which showed that Quebec had the highest total drug costs as a proportion of total health expenditures among all Canadian provinces.27

In contrast to the descending east-to-west gradient for cumulative total cardiovascular drug expenditures from 1996 to 2006, we found a predominantly inverse west-to-east gradient for relative increases in use and expenditures for cardiovascular medications between 1996–2001 and 2002–2006; these increases were greatest for western Canada. Thus, although the western provinces initially seemed more frugal than the eastern provinces in their use of and expenditures for cardiovascular medications, they experienced a “catchup” during the second half of the study period. One factor driving higher rates of prescriptions and costs in the west may be the proliferation of the Internet pharmacy business in Manitoba, which experienced among the highest recent increases of any province. Despite this extraneous factor influencing cardiovascular drug expenditures, other western provinces, most notably British Columbia, had some of the highest rates of increase for several classes of cardiovascular medications, even though they had the lowest expenditures in the earlier period. Further exploration of interprovincial variability in rates of increase for cardiovascular drug expenditures is warranted to identify underlying causes for the observed regional differences. Potential factors include differences in demographic characteristics, risk factors, drug policies or responses to national pharmaceutical initiatives, such as participation in the Common Drug Review.

Limitations

Our study had some limitations. IMS Health Canada uses data collected from audits of prescriptions dispensed to describe general trends in drug utilization. As such, these data do not reflect exact drug utilization by individual patients or providers to determine the appropriateness of drug use. We did not have access to clinical data, such as medical conditions, blood pressure or cholesterol levels, to determine whether the prescribing of these medications was clinically appropriate. Although we observed increased use of cardiovascular medications, we could not evaluate the effects on patient outcomes and cost-effectiveness. Despite these limitations, these data provided a nationally representative sample of prescriptions, allowing us to highlight important national and provincial trends in the use of cardiovascular medications and associated spending.

Conclusion

Prescriptions and expenditures for cardiovascular medications escalated over the period 1996 to 2006 in Canada. Projected increases may reach potentially unsustainable levels. Although many demographic, economic and population factors may have contributed to these increases, newer classes of cardiovascular medications represented a large driver of escalating use and costs, contributing to substantial interprovincial variability in medication use. Given the magnitude of growth of the expenditures involved, ensuring the prescribing of cost-effective medications is essential.

Additional graphs and PowerPoint slides of data from this study are available for presentations at www.ccort.ca/Trends.aspx.

Supplementary Material

[Résumé]
[Online Appendices]
[Abridged Version]

Acknowledgements

We gratefully acknowledge IMS Health Canada, in particular the Public Affairs and Government Relations Department, for generously providing, from the CompuScript Audit®, the data required for the analyses presented here. We also acknowledge Seta San, for assistance with manuscript preparation.

Footnotes

This article has been peer reviewed.

An abridged version of this article appeared in the July 7, 2009, issue of CMAJ.

See related commentary by Califf, available at www.cmaj.ca/cgi/content/full/cmaj.091101

Contributors: All of the authors contributed to the conception and design of the study, the acquisition and interpretation of the data, and the drafting and revising of the manuscript. All of the authors approved the final version submitted for publication.

The Canadian Cardiovascular Outcomes Research Team: Jack V. Tu, MD PhD, Institute for Clinical Evaluative Sciences, Sunnybrook Health Sciences Centre, University of Toronto; William Ghali MD MPH, University of Calgary; Louise Pilote MD PhD, Division of General Internal Medicine, McGill University and McGill University Health Centre; Jafna L. Cox BA MD, Division of Cardiology, Dalhousie University, Capital Health; Douglas S. Lee MD PhD, Institute for Clinical Evaluative Sciences, Division of Cardiology, Toronto General Hospital; Karin H. Humphries MBA DSc, Division of Cardiology, University of British Columbia; David Alter MD PhD, Institute for Clinical Evaluative Sciences, Division of Cardiology, St. Michael’s Hospital and the Toronto Rehabilitation Institute; Peter C. Austin PhD, Institute for Clinical Evaluative Sciences, Dalla Lana School of Public Health, University of Toronto; Mark J. Eisenberg MD MPH, Divisions of Cardiology and Clinical Epidemiology, Jewish General Hospital, McGill University; William M. Flanagan BM, Statistics Canada; P. Diane Galbraith BN MSc, Foothills Medical Centre, University of Calgary; Michelle M. Graham MD, University of Alberta; Ansar Hassan MD PhD, Department of Cardiac Surgery, Saint John Regional Hospital, Atlantic Health Sciences Corporation; Gregory M. Hirsch MD, Department of Surgery, Dalhousie University; Thao Huynh MD MSc, Research Institute of the McGill University Health Centre; Cynthia A. Jackevicius PharmD MSc, Western University of Health Sciences, Institute for Clinical Evaluative Sciences; Helen L. Johansen PhD, Health Analysis Division, Statistics Canada, Department of Community Medicine and Epidemiology, University of Ottawa; Merril L. Knudtson MD, Libin Cardiovascular Institute of Alberta; Dennis T. Ko MD MSc, Division of Cardiology, Schulich Heart Centre, Sunnybrook Health Sciences Centre, University of Toronto, Institute for Clinical Evaluative Sciences; Michael P. Love MB ChB MD, Department of Medicine, Queen Elizabeth II Health Sciences Centre, Dalhousie University; Douglas G. Manuel MD MSc, Ottawa Health Research Institute; Colleen M. Norris, RN PhD (Epid), Faculties of Nursing and Medicine, University of Alberta; Wayne Putnam MD, Department of Family Medicine, Dalhousie University; Stéphane Rinfret MD MSc, Institut Universitaire de Cardiologie et de Pneumologie de Québec, Université Laval; Michael J. Schull MD MSc, Institute for Clinical Evaluative Sciences, Department of Medicine, University of Toronto; Derek Y. So MD, University of Ottawa Heart Institute; Therese A. Stukel PhD, Institute for Clinical Evaluative Sciences; Lawrence W. Svenson BGS DipPsych, Surveillance and Environmental Health, Alberta Health and Wellness, School of Public Health, University of Alberta; Christopher R. Thompson MD CM, St. Paul’s Hospital, University of British Columbia; Karen Tu MD MSc, Institute for Clinical Evaluative Sciences, Department of Family and Community Medicine, University of Toronto; and Nancy A. Walton PhD, Daphne Cockwell School of Nursing Chair, Research Ethics Board, Ryerson University

Competing interests: Stéphane Rinfret has received research grants and consulting honoraria from Pfizer Canada, BMS and Sanofi-Aventis. Jafna Cox has received honoraria or consulting fees from Bristol-Myers Squibb, Merck, Pfizer and Sanofi-Aventis and has received research funding support from Merck and Pfizer. No competing interests declared by the other authors.

Funding: This study was supported by a Team Grant in Cardiovascular Outcomes Research to the Canadian Cardiovascular Outcomes Research Team from the Canadian Institutes of Health Research (CIHR). Dr. Tu is supported by a Canada Research Chair in Health Services Research, Ottawa, Ontario, and by a Career Investigator award from the Heart and Stroke Foundation of Ontario, Toronto, Ontario. The Institute for Clinical Evaluative Sciences is supported by an operating grant from the Ontario Ministry of Health and Long-Term Care, Toronto, Ontario. Virginie Demers is supported by a Canadian Cardiovascular Outcomes Research Team student grant funded through a CIHR Research Team Grant in Cardiovascular Outcomes Research. Dr. Rinfret is a junior physician scientist supported by the Fonds de la Recherche en Santé du Québec. Dr. Kalavrouziotis is supported by a Canadian Cardiovascular Outcomes Research Team Masters student fellowship. Dr. Pilote is a James McGill Chair and investigator supported by the Fonds de la Recherche en Santé du Québec. The results and conclusions are those of the authors, and should not be attributed to any of the funding or sponsoring agencies. All decisions regarding the study design, publication and data analysis were made independent of the funding agencies.

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