Leaving through an ED&I lens: who carries the strain.
People vote with their feet as well as their survey responses. Read a year of NHS exit data through an ED&I lens and a clear picture emerges of who leaves dissatisfied, and why.
On this page
- Two stories of leaving
- Gender: the weight of responsibility
- Age: the mid-career squeeze
- Ethnicity: fairness, opportunity and trust
- Disability: adjustments that don’t hold
- Belief, sexual identity, and the team you land in
- Caring responsibilities: the hidden pressure point
- Not a story of rejection
- What this points to
Break leaver data down by group, and by where groups meet: it can warn earlier than the staff survey.
Across fourteen NHS organisations in acute, mental health and community settings, we read a year of exit data by gender, age, ethnicity, disability, sexual identity, belief and caring responsibilities – treating it as a lens on fairness rather than a tick-box on the way out. The analysis below is aggregated and anonymised, and it reports direction and relative pattern rather than league tables. It does not name or rank organisations.
Two stories of leaving
Happy leavers go for life-stage reasons – relocation, retirement, study, a step up elsewhere. Unhappy leavers report dissatisfaction with the job, the organisation or, most commonly, both: a sense that the system rather than a single element has failed them. It is inside that unhappy group that the differences between demographic groups become visible.
Gender: the weight of responsibility
Women make up the majority of leavers and are more likely than men to leave unhappy, and more likely to cite well-being, working conditions, career progression and the line-manager relationship. Their comments describe high workloads carried alongside family and caring responsibilities, being overlooked for development in mid-band roles, and variable support from managers. Men’s leaving stories are more often about career change, relocation or retirement.
Age: the mid-career squeeze
Under-25s are mobile and lifestyle-driven; those approaching retirement leave warmly. The group that should worry a board is in between. Staff in their late thirties to mid-forties have the highest proportion of unhappy leavers and the strongest signals around progression, well-being, working conditions and their manager. They carry senior clinical or professional responsibility, family commitments and years of exposure to system pressure. They are heavily invested in the NHS and increasingly unsure it is invested in them.
Ethnicity: fairness, opportunity and trust
Staff from minority ethnic backgrounds are more likely to leave unhappy than white colleagues. Everyone mentions workload; minority ethnic leavers more often describe fairness in progression, being overlooked or held to a different standard, and a gap between what inclusion policies say and what daily life delivers. The language is measured. The message is not ambiguous: opportunity does not always feel equitable. Because exit data captures people who have already decided, it can surface this earlier than an engagement survey does.
Disability: adjustments that don’t hold
Disabled staff show higher dissatisfaction, and their accounts centre on adjustments that were agreed but not consistently applied, or that unravelled when a manager changed; on the stress of managing health alongside workload; and on having to advocate repeatedly for needs already recognised on paper. The issue is less the impairment itself. It is how well the organisation flexes.
Belief, sexual identity, and the team you land in
LGBTQ+ leavers report slightly higher dissatisfaction and lower belonging and trust – not open hostility, but comments that go unchallenged and caution about disclosure. Some religious groups mention rota fairness, time for prayer and leave for festivals. In both cases the pattern varies between teams and services, which points at local culture and frontline leadership as where inclusion is made real.
Caring responsibilities: the hidden pressure point
Carers cut across every other group and stand out as one of the strongest differentiators in the dataset. They are more likely to leave unhappy and more likely to cite well-being, working conditions and flexibility. This is not a part-time story: many of those most affected are full-time staff in demanding roles whose real need is predictability and modest flexibility, not fewer hours. Lose them and you lose experienced people in their thirties, forties and fifties, exactly when their expertise matters most.
Not a story of rejection
Even among those who leave under difficult circumstances, attachment to the NHS holds. Across most groups a majority would consider working for their organisation again, and many would still recommend it. ED&I gaps are not pushing people out of NHS work; they are pushing people to look for somewhere they expect to be treated fairly. That goodwill is a returner strategy waiting to be built – but it is not infinite.
What this points to
- Break leaver analysis down as a matter of routine by gender, ethnicity, disability, age, sexual identity and caring responsibilities; it can give an earlier warning than the staff survey.
- Treat progression as the ED&I intervention it is: visible pathways, transparent criteria, bias-aware decisions.
- Invest in line managers, because the manager relationship is the common thread across every group.
- Design work around people. For carers and disabled staff the question is rarely whether they can do the job but whether the job can be structured sustainably.
- Look at the intersections, not the categories.
For how to measure inclusion at every stage, from hiring to exit, see How to measure inclusion across the employee lifecycle.
Source: great{with}talent, Leaving Through an EDI Lens, NHS Workforce Intelligence Series Report 4 of 4. Exit questionnaires collected through LastOpinion across fourteen NHS organisations, December 2024 – December 2025. The report deliberately presents relative patterns rather than precise estimates; organisations and individuals are anonymised. See also ED&I across the lifecycle.
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