INFT 5028 Capstone  ·  NSCC IT Campus  ·  Team Alpha

NS Health &
Population Analytics

Hypertension & Associated Conditions

An integrated BI solution surfacing regional health patterns, demographic shifts, and forecasted healthcare demand across Nova Scotia's four health zones.

Data Year
2022 (CCDSS)
Health Zones
4 Zones
Conditions Tracked
6 Chronic Diseases
Instructor
Patrick Dolinger
01 — Provincial Overview

The State of Chronic Disease in Nova Scotia

Key indicators from the 2022 CCDSS data reveal the scale of the chronic disease challenge — and why hypertension sits at the center of the conversation.

Provincial Chronic Burden
147.0
per 1,000 population
Hypertension Prevalence
343.0
per 1,000 — highest of all conditions
Highest Risk Zone
Eastern
173.1 per 1,000 — 7% above provincial avg
Most Affected Age Cohort
80+
AMI prevalence peaks at 113.6 per 1,000

NS Chronic Disease Prevalence (2022) per 1,000

Chronic Disease Burden Across NS Health Zones

02 — Regional Breakdown

Prevalence by Zone & Condition

Toggle between zones to compare how each chronic condition distributes across Eastern, Northern, Western, and Central Nova Scotia.

Chronic Disease Prevalence by Zone per 1,000

Eastern Zone Paradox

Despite not having the highest population density or the largest aging population, the Eastern Zone carries the highest chronic disease burden at 173.1 per 1,000 — suggesting access and prevention gaps may outweigh demographic risk.

Central Zone Resilience

The Central Zone, home to Halifax and the province's largest aging cohort, shows the lowest overall burden at 126.6 per 1,000. Greater access to primary care, specialists, and screening likely plays a significant role.

Hypertension Dominance

Across every zone, hypertension is the overwhelmingly dominant condition — with prevalence rates 2–3× higher than the next condition. It is the consistent upstream driver of downstream chronic disease burden.

Hospitalization Correlation

NS hospitalization rates run 30–50% above the national average. The correlation between hypertension prevalence and lower education attainment stands at 0.91 — a powerful predictor for targeted intervention.

03 — Age & Gender

Who Is Most at Risk?

Prevalence data by age band and gender across all six chronic conditions reveal steep escalation curves — and the critical windows for early intervention.

Hypertension by Age & Gender per 1,000

Diabetes by Age & Gender per 1,000

COPD by Age & Gender per 1,000

Asthma by Age & Gender per 1,000

Ischemic Heart Disease by Age & Gender per 1,000

AMI (Acute Myocardial Infarction) by Age per 1,000

The age-prevalence curve for hypertension is not linear — it is exponential. Prevalence climbs from under 10 per 1,000 in the 20–29 cohort to over 800 per 1,000 by age 80+. Males show consistently higher rates across all age bands, but the gap narrows after age 70.

Diabetes and ischemic heart disease follow a similar escalation pattern, with males carrying higher burden — particularly in the 60+ age bands where diabetes reaches 345 per 1,000 (M) and ischemic heart disease hits 400 per 1,000 (M) at 80+.

Asthma is the outlier: it is the only condition where females carry a higher burden than males across every age band, and prevalence actually decreases with age rather than increasing — peaking in younger cohorts (20–29) rather than older ones.

For AMI, the 80+ cohort carries a prevalence of 113.6 per 1,000 — roughly 15× the rate of the 50–59 group. The cardiovascular consequences of unmanaged hypertension are compounding silently for decades before manifesting as acute events.

04 — The Story Behind the Numbers

Why Hypertension Is the Gateway Condition

About 1 in every 3 Nova Scotians is living with hypertension. And the reason this matters is because hypertension is usually not the end disease — it is the beginning of the story.

Hypertension is the gateway into many of the chronic diseases that later place pressure on both patients and the healthcare system. When blood pressure goes undiagnosed or unmanaged for years, what we eventually see are patients presenting with ischemic heart disease, acute myocardial infarctions, heart failure, strokes, kidney complications, and diabetes-related issues.

When we talk about hypertension, we are really talking about the future burden of chronic disease in Nova Scotia.

What is even more important is where the burden is happening. The Eastern Zone carries the highest chronic disease burden in the province — about 7% above the provincial average — yet it does not have the highest population density, nor the largest aging population.

The Central Zone, despite having the highest population density and the largest aging cohort, shows the lowest overall chronic disease burden. Normally we would expect the highest burden to follow the oldest and most populated regions. That is not what is happening here.

This tells us the story may be less about age alone and more about access, prevention, early diagnosis, continuity of care, health literacy, and how early people are entering the healthcare system before disease progresses.

The real question becomes: Why are people in some regions getting diagnosed and managed earlier, while others are progressing into more severe disease?

By the time we see AMI, heart failure, or severe cardiovascular complications in hospital settings, the disease process has often been building silently for years. Hypertension management is not just a blood pressure issue — it is an upstream opportunity to reduce future hospitalizations, reduce system strain, and improve long-term patient outcomes.

If we intervene earlier at the hypertension stage, we are potentially preventing the heart attacks, heart failure admissions, and chronic complications we will otherwise be treating late.

05 — What the Data Means for Decision-Makers

Anticipated Stakeholder Considerations

Before the questions are asked — here is what the data tells us about strategic value, operational impact, and where to go from here.

Can leadership act on this analysis with confidence?

Absolutely. This analysis moves beyond provincial averages to expose regional disparities — identifying where chronic disease burden is highest, where future healthcare strain is likely to increase, and where preventive interventions may deliver the greatest long-term impact. It equips leadership to prioritize resources strategically rather than uniformly.

What is the business value of these findings?

The value lies in prevention and resource optimization. Hypertension is one of the earliest and most manageable risk factors. If identified and controlled earlier, the healthcare system can potentially reduce avoidable hospitalizations, cardiovascular emergencies, long-term treatment costs, and strain on acute care services.

Earlier intervention upstream reduces significantly higher downstream healthcare costs. Every avoided AMI admission, every heart failure case that never progresses to acute care — that is measurable cost avoidance and better patient outcomes.

What specific actions do the findings support?

The data points toward targeted intervention in higher-burden regions — especially the Eastern Zone. Possible actions include: expanding hypertension screening programs, improving access to primary care, increasing community awareness campaigns, strengthening follow-up and continuity of care, and allocating more preventive resources to high-burden regions where disease is progressing furthest before diagnosis.

Can front-line and operational teams use these insights?

Directly. Primary care teams can increase blood pressure screening. Community health teams can target awareness initiatives in high-burden zones. Regional planners can prioritize outreach programs. Hospital leadership can prepare for future cardiovascular burden trends.

The insights translate from dashboard to action without a translation layer — every finding has a corresponding operational lever.

Does this reflect how the healthcare system actually operates?

Yes — because chronic disease rarely exists in isolation. What the dashboard reflects is the real-world progression healthcare systems see every day: unmanaged risk factors eventually become higher-acuity conditions, and regional differences in prevention and access translate directly into different health outcomes. The hypertension to cardiovascular disease pipeline is not theoretical — it is the daily reality of hospital admissions across the province.

What would make this analysis even more operationally valuable?

To evolve from descriptive to predictive and strategic planning, additional data layers could include: hospitalization trends, emergency department utilization, mortality rates, primary care attachment rates, socioeconomic indicators, medication adherence data, and multi-year trend analysis.

One immediate improvement opportunity: adding trend data over multiple years to show whether prevalence is improving or worsening over time — transforming a snapshot into a trajectory.

06 — Strategic Recommendations

Where Do We Go from Here?

Three evidence-based recommendations grounded in the data, the regional disparities, and the upstream prevention opportunity hypertension represents.

01

Drive Targeted Hypertension Awareness Campaigns

Focus on lifestyle modification, early detection, and consistent screening — particularly in zones with the highest burden (Eastern and Northern). With hypertension prevalence at 343 per 1,000 and a 0.91 correlation with lower education attainment, campaigns should prioritize health literacy, simplified self-management resources, and community-level outreach tailored to populations with limited tertiary education.

02

Deploy Mobile Clinics for Targeted Screening

Prioritize mobile clinic deployment in communities with older age profiles, where the 70+ and 80+ cohorts are driving the sharpest prevalence spikes across hypertension, COPD, ischemic heart disease, and AMI. Mobile units would bring screening directly to underserved rural areas — particularly in the Eastern Zone — reducing the gap between disease burden and primary care access.

03

Extend Specialized Care to High-Burden Zones

Decentralize chronic disease management by deploying cardiologists, respiratory specialists, and diabetes educators into the Eastern and Northern zones rather than concentrating them in urban centres. With NS hospitalization rates running 30–50% above the national average, shifting specialist capacity upstream would intercept patients before they progress to costly acute admissions.