Economic inactivity due to poor health is costing the UK £212 billion a year, equivalent to 7% of GDP. Sickness is at an all time high, with employees now taking off nearly 2 working weeks a year on average and NHS backlogs are compounding the pressure. Median treatment waits hit 13.2 weeks in February 2026, roughly double the pre-pandemic figure. The Government’s Keep Britain Working review last October made the corollary clear: employers should take a more proactive role in preventing avoidable illness.
The cost of one day of sickness on average costs £120 and presenteeism costs UK businesses more than double their statutory and occupational sick pay bill due to lost productivity. For a 25-person business, the total cost of doing nothing comes to £48,935 per year.
For the insurance industry, the implication is that Group Income Protection (GIP) must move upstream, supporting employees before they go off sick. But prevention only delivers if people engage with it consistently, and that engagement has historically been the missing ingredient. YuLife changes that through gamification: everyday nudges, challenges and rewards underpinned by behavioural science. Steps, mindfulness and wellbeing check-ins earn YuCoin redeemable for real-world perks. The result is sustained engagement and a stream of behavioural signals our model can use to spot emerging risk early. Who sees that information matters as much as the signals. For the employee, it stays private: a personal wellbeing profile that surfaces the right support from a tailored challenge to faster access to MetLife’s virtual GP or EAP. For the employer, signals appear only as anonymised, aggregated trends in the Employer Portal, showing where stress, burnout or absence may be emerging by team or region, never by individual. Participation stays voluntary and anonymous. This is Yunity at work: turning everyday engagement into earlier, more human intervention, without compromising trust.
A randomised controlled trial run by the University of Essex, part-funded by Innovate UK, found that participants in the gamified group saw a 20% reduction in long-term health risk, compared to 15% in the control group and 14% of employees in the gamified group reported a decrease in the frequency of high-stress days, compared to 7% in the incentives-only group over the same period. Engaged employees are 2.4 times more likely to use a virtual GP and 4 times more likely to access EAP support.
Even the best prevention won’t stop every health issue, so speed to support is the best safety net when an issue does arise. When an employee starts to struggle, the gap between a short-term issue and a long-term absence is a matter of weeks. MetLife UK data suggests that triggering confidential, early intervention support within the first four weeks results in 96% staying in or returning to work, compared to just 30% without early intervention.
A prevention-led GIP model, with daily wellbeing engagement, early intervention and rehabilitation working as one, delivers 48% return of the annual sickness cost of a business. A proactive strategy for employee health isn’t a perk, it’s one of the highest-return investments you can make as a business leader.
MetLife and YuLife have set out the full model in The Prevention Advantage guide. It’s a practical blueprint for what GIP needs to do next, structured around three connected phases: prevention through daily engagement, early intervention inside the four-week window, and rehabilitation when a claim occurs. YuLife builds the daily habit. MetLife provides the protection. Together we have built something neither of us could deliver alone: one model that prevents sickness and protects against it. The opportunity for advisers and their clients is to stop paying for sickness and start preventing it.
For advisers, four prompts are worth taking into every annual review or rate review conversation. Does the policy activate before absence begins, or only after? Does it route employees to clinical support, virtual GP and EAP automatically, or rely on a line manager to spot the problem? Can the provider send surface population-level risk signals back to HR, so prevention signals land where they are most needed and does the policy demonstrate a return on investment a finance director can recognise? If the answer to any is no, the conversation is overdue.


