In a small island, the early signs of change are rarely found in official reports. They are seen first in conversations, in queues, and in the quiet adjustments people make to get through the week.
A recent article in the JEP by Carl Walker captures this vividly. Reflecting on the rise in demand at the St Vincent de Paul food bank, he makes a simple but powerful point: the cost-of-living pressures facing Islanders are no longer theoretical – they are immediate, visible, and intensifying.
Behind the statistics are real choices. Families adjusting what they buy, what they defer, what they go without.
And importantly, these pressures are not confined to finances. They are beginning to show up as strain – stress, anxiety, exhaustion. In other words, as early signals of impact on mental wellbeing.
This is where the conversation about public health needs to change.
At the same time as these pressures are building, healthcare systems are moving into a new world of predictive analytics – using data, algorithms and modelling to anticipate need before it arrives.
I have written previously about the potential of these tools for Jersey. Used well, they can help us target resources, reduce waste, and intervene earlier to prevent illness .
But there is a paradox emerging.
As our ability to predict risk improves, the nature of risk itself is becoming harder to measure.
The most significant drivers of health today are not always captured in datasets. They are cumulative and deeply human: the pressure of rising housing costs, the strain of caring for an ageing relative, the anxiety of financial insecurity.
These do not present neatly. They do not appear immediately in hospital data or service dashboards. But they shape lives – and, over time, they shape demand.
This creates what might be called a predictive health paradox: the better we become at measuring risk, the more important it is to understand what cannot easily be measured.
If we are not careful, we risk building systems that are technically sophisticated but socially distant – systems that can model demand, but miss what Islanders are actually experiencing until those pressures crystallise into crisis.
Carl Walker’s observation about rising food bank use is a case in point. It is not just a social issue – it is a public health signal.
Charities often see these signals first.
They see the early stages of distress: the point at which financial pressure becomes anxiety, where coping becomes strain, and where small interventions could still make a meaningful difference.
Similarly, GPs see patterns emerging long before they become formal diagnoses. Parish networks recognise changes in community wellbeing that are not captured anywhere else.
If we are serious about prevention, we need to connect these insights with the growing power of data. A Public Health Dashboard is already available. I believe however Jersey should develop a Public Health Insight Model – one that brings together two forms of intelligence:
• Predictive data from across our health and care system
• Lived experience insight from Islanders, charities, parishes and frontline professionals
Together, these can provide something far more powerful than either alone: a real-time, grounded understanding of population wellbeing.
In practice, this means building structured partnerships with the third sector, drawing on parish-level knowledge, and recognising GPs not just as providers of care, but as early signal detectors.
It means creating a system where intelligence flows both ways – where data informs decisions, but lived experience shapes what we choose to measure and how we respond.
This approach should sit at the heart of the developing agenda for the Health and Care Jersey Partnership Board.
It would broaden our understanding of public health beyond services and into the conditions that shape wellbeing – particularly in community and mental health, where early signals are often subtle but the long-term consequences are significant.
It would also address a persistent weakness in public policy: the tendency to respond only when problems become visible, rather than when they first begin to emerge.
In a small island, we have an advantage. We are close enough to see these early signals – if we choose to listen.
The task now is to bring together what we can measure with what we can understand.
To use data not as a substitute for insight, but as a tool to deepen it.
To recognise that the health of Islanders is shaped as much by the pressures of everyday life as by the services we provide.
That is what modern public health should look like in Jersey.
And it is the kind of practical reform I would bring – ensuring that care truly counts, not just when crisis arrives, but when the first signs of pressure begin to appear.
