Cardiometabolic Treatment Trends in Pharmacy Records and Digital Surveys
Precision public health using pharmacy prescription records and digital surveys to map cardiometabolic treatment rates across Canada
Presented at a national health conference. Authors: John Chau, Jeremy Kardash, Ali Mahmood, Jonathan Erez, Tzvi Aviv — Loblaw Healthcare Data Products and Services.
Overview
Precision public health combines big data and digital methodologies with traditional epidemiology to forecast health risks and improve the quality of services provided to patients. This study used anonymized pharmacy prescription records from Loblaw’s network across Canada — processed in compliance with applicable privacy laws and Loblaw’s policies — alongside self-reported digital surveys to characterize cardiometabolic treatment trends at scale.
Cardiometabolic conditions (diabetes, hypertension, hyperlipidemia) represent a large and growing portion of chronic disease burden in Canada. This work establishes treatment prevalence baselines, surfaces geographic variation down to the Forward Sortation Area (FSA) level, and benchmarks pharmacy-derived estimates against Statistics Canada’s Canadian Community Health Survey (CCHS).
Methods
Prescription records were extracted from pharmacies across Canada. Patients were divided into twelve age-sex groups and assigned to FSAs by home address. Treatment rates were calculated as:
(# patients taking cardiometabolic medication) ÷ (total prescription recipients per year) per age-sex group per FSA
Self-reporting digital surveys were fielded in September 2022 and compared to the CCHS (Statistics Canada, Table 13-10-0096-01).
Figure 1 — Age-Group Treatment Prevalence by Province (2021)
Treatment rates rise steeply with age and are consistently higher in males than females across all three conditions and all provinces. The provincial variation — particularly the lower rates in BC and Alberta — likely reflects a mix of population demographics, prescribing practices, and underlying disease prevalence differences.
Figure 2 — Diabetes Treatment Rates per FSA, Ontario (2017–2021)
The FSA-level histograms reveal large variance in diabetes treatment rates across Ontario neighbourhoods — far more than aggregate provincial numbers suggest. Male pharmacy-derived rates track above CCHS benchmarks in most years; female rates track closer to or below. This gap may reflect differential medication uptake, access, or undiagnosed disease.
Figure 3 — Hypertension Trends from Self-Reported Digital Surveys (September 2022)
Key findings from the survey:
- Blood pressure monitoring rates range from ~60% in 18–34 year-olds to ~80% in adults 65+, with the remainder either not measured or unable to recall values
- ~10% of respondents report uncontrolled blood pressure (above 140/90 mmHg) — a clinically significant share with direct implications for pharmacist intervention programs
- 20–40% report taking blood pressure readings at home, varying by age-sex group — reflecting the growing role of consumer health devices
- Doctor/Walk-In clinics are the dominant measurement setting, but pharmacy and home measurement are meaningful shares, especially in older cohorts
Conclusions
- Growing trends in cardiometabolic treatment prevalences observed across Canada
- Treatment rates increase with age and are higher in males across all conditions
- Lower treatment rates in British Columbia and Alberta warrant further investigation
- Large FSA-level variance in diabetes treatment rates points to meaningful geographic health inequities
- A substantial minority of patients have uncontrolled blood pressure or are not being monitored — a direct opportunity for pharmacist-led care programs
Future Directions
This work supports the broader goal of improving accuracy of pharmacy-based health data models to enable better-targeted services. Next steps include:
- Improving FSA-level models with demographic covariates to disentangle true health variation from access and prescribing differences
- Linking digital survey data to pharmacy records for longitudinal validation
- Extending the hypertension survey framework to diabetes and dyslipidemia self-management behaviours