Highlights
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• Most individuals post-stroke receive antihypertensives and lipid-lowering medications.
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• A significant proportion of individuals do not have their low-density lipoprotein or glycated hemoglobin tested within the year post-stroke, and even fewer have their values fall within targets.
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• Almost all individuals see their family doctor within 90 days of discharge post-stroke.
Introduction
The global incidence of stroke is increasingReference Feigin, Stark and Johnson1 and is expected to continue to increase over time.Reference Pu, Wang, Zhang, Zhao, Jiang and Han2 Ischemic stroke survivors are at high risk of recurrent stroke, with approximately one in four individuals experiencing another stroke within five years.Reference Mohan, Wolfe, Rudd, Heuschmann, Kolominsky-Rabas and Grieve3 Many risk factors for ischemic stroke are modifiable through management of comorbidities.Reference O’Donnell, Chin and Rangarajan4 Control of these factors is important for the prevention of further stroke, other vascular conditions, accumulation of disability and mortality.
Guidelines for secondary stroke prevention outline lipid and glucose targets and suggest recommendations for first-line antihypertensive and lipid-lowering medications (Table 1).Reference Gladstone, Lindsay and Douketis5 Previous studies have demonstrated that increased adherence to secondary stroke prevention guidelines reduces the risk of subsequent stroke.Reference Dalli, Kim and Cadilhac6–Reference Kumbhani, Steg and Cannon9 Additionally, early visits to primary care after discharge from the hospital post-stroke have also been shown to reduce the risk of hospital readmission.Reference Kernan, Viera and Billinger10 However, contemporary rates of secondary stroke care and healthcare utilization post-stroke at the population level are currently unknown.
Table 1. Summary of selected secondary stroke prevention guidelines from the Canadian stroke best practice recommendationsReference Gladstone, Lindsay and Douketis5

Aims and hypothesis
Our goal was to evaluate secondary stroke prevention indicators in Ontario – the most populous province in Canada, with a population of over 15 million residents.11 An understanding of the current state is essential to identify opportunities to improve adherence to secondary stroke guidelines and inform targeted communication, education and resource allocation. We hypothesized that care would be suboptimal, based on previous studies assessing the acute management of stroke,Reference Hall, Khan and Bayley12 and secondary prevention of other conditions.13–Reference Gladstone, Kapral, Fang, Laupacis and Tu16
Methods
Study design and setting
We conducted a retrospective population-based cohort study using administrative data from Ontario, Canada from April 1, 2010, to March 31, 2019. We intentionally stopped our study in 2019 to allow for a one-year follow-up with minimal influence of the COVID-19 pandemic where care may have been affected. Within the province of Ontario, residents receive access to physicians, hospitals and other healthcare services through the single-payer Ontario Health Insurance Plan. Reporting followed the Reporting of studies Conducted using Observational Routinely-collected health Data (RECORD) statement17 (Supplementary Material 1-A).
Data sources
Healthcare administrative databases available at ICES (www.ices.on.ca) were used to complete the study. ICES is an independent, nonprofit institution housing administrative data in Ontario, Canada. We included several datasets linked using unique encoded identifiers that are outlined in Supplementary Material 1-B. We also used several ICES-derived datasets created using validated case definitions for diabetes,Reference Lipscombe, Hwee, Webster, Shah, Booth and Tu18 hypertensionReference Tu, Chen and Lipscombe19 and congestive heart failureReference Schultz, Rothwell, Chen and Tu20 (Supplementary Material 1-B). All datasets were linked using unique encoded identifiers and analyzed at ICES.
Participants
Individuals with an ischemic stroke (using International Classification of Diseases, 10th revision (ICD-10) codes – Supplementary Material 1-C) as the admission diagnosis, from April 1, 2010, to March 31, 2019, were included (Figure 1). The date of discharge from the hospital was considered the index date. The use of these codes has been previously validated.Reference Hall, Mondor, Porter, Fang and Kapral21 Hemorrhagic strokes were not included as secondary stroke prevention is different in this population.Reference Shoamanesh, Patrice Lindsay and Castellucci22 Exclusion criteria (with associated ICD-10 codes in Supplementary Material 1-D) included (1) receiving palliative care in the 1 year prior to the index date or within 30 days after, as secondary stroke care would be adjusted in these scenarios; (2) previous transient ischemic attack or ischemic stroke, as individuals with previous events may require more advanced secondary stroke care; (3) living in long-term care (LTC) within 1 year prior to the index date; (4) hospital encounters lasting over 30 days; or (5) death within 1 year of hospital discharge. Individuals with missing age, sex or health card number or who were not Ontario residents were also excluded. For outcomes involving medication use, a sub-cohort of individuals aged 66 years and older at the time of discharge (medications are covered through ODB for individuals aged 65 years and older) was retained. For outcomes assessing a three-year follow-up, individuals accrued on or after April 1, 2017, were excluded. Post hoc analyses were completed excluding individuals admitted to an LTC facility within the year after the index date.

Figure 1. Study flow diagram.
Indicators of secondary stroke prevention
The following indicators of secondary stroke prevention were assessed at one and three years following the index date: (1) receipt of a low-density lipoprotein (LDL) test, and for those tested, rates of falling within the target range of ≤ 1.8 mmol/L (based on Canadian Stroke Best Practice Recommendations [5]); (2) receipt of a glycated hemoglobin (HbA1C) test, and for those tested, rates of falling within the target range of ≤ 7%; (3) receipt of an influenza vaccine using physician billing codes (Supplementary Material 1-D) or drug identification number if provided via a pharmacy; (4) receipt of a lipid-lowering agent; (5) receipt of an antihypertensive agent; (6) receipt of an antihyperglycemic medication, including insulin, in those with diabetes; and (7) receipt of an anticoagulant in those with atrial fibrillation.
If an individual received more than one laboratory test during the follow-up period, the most recent test was selected. Post hoc analyses also stratified receipt of laboratory values by the presence or absence of diabetes and in atrial fibrillation, as guidelines are less clear in cardioembolic strokes. Medications were considered based on receipt of at least one prescription during the follow-up. In another post hoc analysis, participants with continual use of medications, defined by no gaps in prescriptions for more than 14 days, were considered.
Healthcare utilization
Healthcare utilization was also assessed. This included emergency department visits and visits to a family physician or Community Health Centre (CHC), neurologist or physiatrist, within 90 days after discharge. Data on time spent at home, and not within a healthcare institution such as a hospital, rehabilitation or mental health facility or LTC, was also collected.
Statistical analysis
Continuous descriptive characteristics were summarized using means and standard deviations (SD), while categorical variables were summarized using frequencies and percentages. All analyses were performed using SAS version 9.4.
Ethics
The use of data through ICES is governed under section 45 of Ontario’s Personal Health Information Protection Act and does not require review by a Research Ethics Board or patient consent.
Results
Cohort selection is presented in Figure 1. After exclusions, 54,712 individuals survived at least 1 year, while 36,506 survived at least 3 years following their first ischemic stroke. The mean (SD) age was 68.4 years (14.1), and 25,012 (45.7%) were female. A description of the overall cohort is presented in Table 2. Only 3,332 (6.1%) individuals were admitted to an LTC facility within the year after discharge from their ischemic stroke.
Table 2. Baseline characteristics of individuals hospitalized with an incident stroke between April 1, 2010, and March 31, 2019, and survived one year after discharge

One-year indicators of secondary stroke prevention
Secondary stroke prevention indicators are presented in Table 3 for individuals surviving at least one year. Among these, 66.2% received an LDL test within one year after discharge from the hospital, and of those tested, 54.5% fell within target of ≤ 1.8 mmol/L. Individuals without a history of atrial fibrillation were more likely to have their LDL tested and were less likely to have their LDL within the target range. An HbA1C was checked for 61.4%, with 81.5% falling within the target of ≤ 7%. Individuals with a history of diabetes were more likely to have their HbA1C checked in the year following discharge, as were those without a history of atrial fibrillation. Influenza vaccinations were recorded for 39.6% of individuals. Results were similar when considering only those who were not admitted to LTC, with results presented in Supplementary Material 2-E.
Table 3. Secondary prevention care in the one year following hospital discharge for an incident stroke between April 1, 2010, and March 31, 2019, among individuals who survived one year after discharge

LDL = low-density lipoprotein; HbA1C = glycated hemoglobin.
*Medication information only available for the subgroup > 65 years.
^Lipid-lowering therapies included statins, ezetimibe or fibrates.
#Antihypertensive medications included angiotensin-converting enzyme inhibitors, angiotensin receptor blockers, beta-blockers, calcium channel blockers, diuretics or alpha-blockers.
Receipt of medication was assessed in 32,801 individuals over the age of 65 years. Of these, 85.5% received a lipid-lowering medication in the year post-discharge, with the majority of prescriptions (77.1%) occurring within the first 90 days. Similarly, 88.7% of individuals received at least one antihypertensive medication after their stroke, again with the majority in the first 90 days (81.0%). Of the 11,836 individuals over the age of 65 years with diabetes, 70.3% were prescribed an antihyperglycemic medication within the year following discharge. Of the 7,262 individuals over the age of 65 years with atrial fibrillation, 84.9% were prescribed an anticoagulant within the year following their stroke. Long-term compliance with recurrent prescriptions was reduced for all medications and is presented in Supplementary Material 2-F.
Three-year indicators of secondary stroke prevention
When restricting to individuals who survived three years following their ischemic stroke, marginal increases were observed in most secondary stroke prevention indicators (Supplementary Material 2-G). Apart from the receipt of antihypertensive agents (91.5%) and anticoagulants in those with a history of atrial fibrillation (90.4%), all indicators remained below 90%.
Healthcare utilization
Over a quarter of patients (26.2%) visited an emergency department within 90 days following their discharge post-stroke. Most individuals (92.8%) saw a primary care physician within 90 days of discharge, while nearly half (47.9%) were seen by a neurologist, and 22.6% were seen by a physical medicine and rehabilitation specialist within the same period. The mean (SD) number of days spent at home in the year follow-up was 328.8 (76.5) days.
Discussion
Secondary stroke prevention is an important part of care post-stroke and involves a multimodal approach to risk factor management through lifestyle adjustment, monitoring of comorbidities and use of medications. Our study found that while some secondary stroke care indicators in Ontario appear to be sufficient, such as prescriptions for antihypertensives, others remain suboptimal, such as LDL and HbA1C testing and achievement of targets for these tests.
The reasons behind low rates in some areas are unknown. Although family physicians provide the majority of long-term secondary stroke prevention care,Reference Kernan, Viera and Billinger10 they are facing record numbers of burnout.Reference Hiefner, Constable, Ross, Sepdham and Ventimiglia23 Guidelines are also becoming more complex and exist for almost every chronic disease, making it difficult to recall targets and interventions for each patient and each condition. A previous qualitative study on the barriers to the use of chronic kidney disease guidelines suggested several reasons for nonadherence from family physicians including cognitive overload, differing priorities and lack of awareness of the guidelines altogether.Reference Nash, Garg, Brimble and Markle-Reid24
Our study found that many individuals do not have their LDL (16%) or HbA1C (20%) checked, even within three years following an ischemic stroke. For many individuals, even when they are checked, the values do not fall within target recommendations. This is despite high levels of lipid-lowering and diabetic medication prescription and despite many individuals seeing their family physician, on average, once every two months in that first year after stroke. Our findings suggest better glycemic compared to lipid control among those tested with over 80% within the target of ≤ 7% HbA1C versus 54.5% for LDL ≤ 1.8 mmol/L. This is in contrast to a previous study from Ontario comparing rates in urban versus rural settings of only around 54% for HbA1C.Reference Kapral, Austin and Jeyakumar25 Additionally, compliance to important secondary prevention medication over the year follow-up drops, especially for medications like statins and anticoagulants, which each show a reduction in individuals continuing with medications of approximately 50%. As better adherence to guidelines has been associated with a reduced risk of stroke(7), future studies should address barriers to medication use and laboratory monitoring in the post-stroke setting to improve secondary stroke risk.
Another important factor that has been recommended for secondary prevention is the receipt of an annual influenza vaccine, which appears unique to the Canadian Stroke Guidelines.Reference Gladstone, Lindsay and Douketis5 Our results were found to be suboptimal and significantly lower than the target of 80% of high-risk individuals set out by the Public Health Agency of Canada.Reference Roumeliotis, Houle, Johal, Roy and Boivin26 These rates also appear lower than previous population averages in the general population, which is typically around 70% of those over the age of 65,Reference Sulis, Basta and Wolfson27 and lower than in previous studies of individuals with cardiovascular disease.Reference Cho, Houle and Alsabbagh28 Interestingly, despite recommendations in the Canadian guidelines for secondary prevention, most previous research on influenza vaccination is in primary stroke prevention.Reference Holodinsky, Zerna, Malo, Svenson and Hill29–Reference Lee, Bae, Hwang, Kim, Suh and Ko31 Future studies could assess the effect of influenza vaccines on secondary prevention specifically,
Most individuals in our study were prescribed antihypertensives and lipid-lowering medications. It is not prudent for all individuals to be on these therapies, as some will have adequate blood pressure or lipid levels without the use of medications, and others still may have allergies or intolerances. Previous studies have shown that the use of statins after stroke, even in those with LDL levels within the target range, is associated with reduced mortality and vascular outcomes.Reference Kim, Jeong and Chang32,Reference Kim, Lee and Kim33 Overall, our findings were similar to previous studies. Dalli et al. found that 75% of individuals were prescribed antihypertensives and 84% statins,Reference Dalli, Kim and Cadilhac6 while Kapral et al. found over 80% of individuals with a previous stroke were prescribed antihypertensives.Reference Kapral, Austin and Jeyakumar25
This study has several strengths. We obtained a very large sample size of over 50,000 individuals in the largest province in Canada, to capture secondary stroke prevention trends at a population level, resulting in one of the largest studies assessing secondary stroke prevention care indicators. We also were able to incorporate laboratory data to assess rates of meeting recommended secondary stroke prevention targets, which is not available in all administrative database studies. This study also has several limitations. First, administrative data has limits, including capturing that a medication is dispensed, without knowing about compliance, or potential appropriate reasons for nonadherence to guidelines. Additionally, some medications such as low-dose aspirin are available over the counter and would not be captured using the ODB. Further, influenza vaccinations may be given by other prescribers under the guidance of a physician or pharmacist, such as a nurse practitioner, which may not be captured in our dataset. Other important factors for secondary stroke prevention including blood pressure readings, diet and smoking status are also not available through our administrative datasets. Control of these factors is also crucial for secondary stroke prevention. Next, we stopped accrual in 2019 to minimize the effect of the COVID-19 pandemic on secondary stroke prevention care. Because of this, results may not be generalizable to a post-COVID era, and future research may be warranted to assess if the COVID-19 pandemic affected secondary stroke care. Lastly, we only recruited patients in Ontario and those not previously living in an LTC facility, which may limit the generalizability to other jurisdictions and populations.
In summary, secondary stroke prevention care in Ontario remains suboptimal in many areas. Future work should explore barriers to better care.
Supplementary material
The supplementary material for this article can be found at https://doi.org/10.1017/cjn.2025.9.
Data availability
The data set from this study is held securely in coded form at ICES. Although data-sharing agreements prohibit ICES from making the data set publicly available, access may be granted to those who meet prespecified criteria for confidential access.
Acknowledgements
This document used data adapted from the Statistics Canada Postal CodeOM Conversion File, which is based on data licensed from Canada Post Corporation, and/or data adapted from the Ontario Ministry of Health Postal Code Conversion File, which contains data copied under license from ©Canada Post Corporation and Statistics Canada. Parts of this material are based on data and/or information compiled and provided by the Ministry of Health (MOH), Ontario Health, and Canadian Institute for Health Information. The analyses, conclusions, opinions and statements expressed herein are solely those of the authors and do not reflect those of the funding or data sources; no endorsement is intended or should be inferred. We thank IQVIA Solutions Canada Inc. for use of their Drug Information File. We thank the Toronto Community Health Profiles Partnership for providing access to the Ontario Marginalization Index.
Author contributions
JLF – Conception, design, analysis, interpretation, drafting, revision and approval
MKK – Conception, design, analysis, interpretation, drafting, revision and approval
BC – Design, analysis, interpretation, revision and approval
SF – Conception, drafting, revision and approval
ML – Design, analysis, interpretation, revision and approval
SZS – Conception, design, analysis, interpretation, drafting, revision and approval
Funding statement
This study was supported by ICES, which is funded by an annual grant from the Ontario MOH and the Ministry of Long-Term Care. This study also received funding from an Interdisciplinary Development Initiative Grant through Western University.
Competing interests
The authors disclose no competing interests.
Target article
Secondary Stroke Prevention in Ontario: A Population-Based Cohort Study
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