PHSSR Policy Roadmaps for Acting Early on NCDs Synthesis Report 2025
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34 Acting early on NCDs
The Partnership for Health System Sustainability and ResilienceFrance shows a 13-year life expectancy difference between the poorest and richest 5% of men, with
an 8-year gap for women. Once disease develops, socioeconomic disparities widen further, with the
life expectancy gap between the richest and poorest deciles increasing from 4 to 6 years after
chronic disease develops (DREES, 2022). These gaps persist despite high rates of healthcare
coverage, reinforcing that health systems must actively counter rather than inadvertently reinforce
existing disadvantages.
It is important to acknowledge that inequalities in NCDs outcomes are also shaped by
socioeconomic determinants outside the healthcare system including housing, education, and level
of income. The most profound inequalities emerge where multiple disadvantages intersect.
Indigenous Peoples in Canada face a disproportionate NCD burden shaped by socioeconomic
deprivation, cultural marginalisation, and geographic isolation rooted in the enduring impacts of
colonialism. This has produced significantly higher rates of kidney disease, end-stage renal disease,
and rheumatic disease, particularly among First Nations communities.
Implications for health systems
The divergence between unadjusted and age-adjusted DALY trends reframes how we understand
the NCD challenge. Population ageing does not cause these diseases but rather reveals the
accumulated impact of risks acquired across the life course: decades of smoking, uncontrolled
hypertension, and metabolic dysfunction that compound until manifesting clinically in later life. This
understanding has important implications for health system organisation.
The evidence demonstrates that whilst many countries have reduced age-specific risks, particularly
for cardiovascular disease and cancer, the actual burden on health systems continues rising as
populations age. Since population ageing will continue inexorably in all studied countries, unadjusted
burdens will keep rising unless the accumulation of risks across the life course is interrupted. The
success of cardiovascular disease prevention, where adjusted rates fell enough to reduce even
unadjusted burdens in most countries, proves this is achievable. Conversely, diabetes’s parallel
increase in both dimensions warns that without addressing root causes early in life, health systems
will face unsustainable demands.
The substantial variation in outcomes across countries demonstrates that current performance
gaps reflect implementation failures rather than knowledge deficits. The widespread treatment-
control gaps and under-diagnosis of conditions revealed throughout this analysis point to
systematic failures in applying existing knowledge. These are not problems requiring new scientific
breakthroughs but rather better organisation of care delivery.
The shifting disease composition presents additional complexity. With cancer overtaking
cardiovascular disease in most countries, combined with the universal surge in diabetes and
increases in kidney disease, growing numbers of patients live with multiple, interacting conditions.
Current health systems, organised around single-disease programmes and specialist silos, are
poorly aligned with this reality. The bidirectional relationships between diabetes, cardiovascular
disease, and kidney disease exemplify how single-disease approaches miss critical intervention
points.
The achievements of countries that have successfully reduced specific cardiovascular conditions
demonstrate that substantial improvement remains possible even from strong baselines. Yet the
universal slowdown in mortality improvements suggests diminishing returns from treatment-
focused strategies. The contrasts in cancer survival by stage of diagnosis highlight the potential of
earlier detection and intervention.
The persistence of inequalities despite universal healthcare coverage reveals another dimension of
the challenge. The concentration of risk factors along socioeconomic gradients, compounded by
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