ÌÇÐÄÊÓÆµ

July 1, 2025

Racism and sexism are 'alarmingly normalized' in NHS—report makes suggestions for moving forward

Credit: Tima Miroshnichenko from Pexels
× close
Credit: Tima Miroshnichenko from Pexels

Racism and sexism are "alarmingly normalized" within the structures and person-to-person interactions across the NHS, and the NHS has delayed acknowledging and learning from the evidence, says a from the BMJ Commission on the Future of the NHS, published in The BMJ today.

There is an ethical imperative for the government and NHS institutions to act now, it concludes.

On a wider scale, discrimination and inequities related to protected characteristics, such as race and ethnicity, sex and gender, age, disability, sexuality, religion and belief have a major impact on the health of the public the NHS serves—and on staff well-being—says the report.

Discrimination and inequities contribute to increased risk of physical and , limit access to care, shape negative experiences of illness and encounters with services, and lead to worse overall health outcomes, including mortality, it highlights.

As well as having a major impact on , discrimination and inequity also have huge financial consequences for the UK economy. Every year health inequity leads to productivity losses of £31–£33bn, lost taxes, and increased welfare payments of £20–£32bn, as well as direct health care costs of at least £5.5bn, it points out.

After reviewing the evidence, the report makes recommendations for the UK government, health care leaders, the Care Quality Commission (CQC) and equivalent regulators, and the NHS on tackling discrimination and inequities across the NHS to enhance the experience of patients and staff and improve health outcomes.

Get free science updates with Science X Daily and Weekly Newsletters — to customize your preferences!

For the UK government:

For the Care Quality Commission (CQC) and equivalent regulators:

For the NHS:

For health care leaders:

The six expert authors conclude: "NHS leaders and the public must recognize that prioritizing health equity is a proven strategic investment that leads to good patient outcomes, and better retention and recruitment rates of staff. It is also an ethical and legal imperative."

Equity in health care is about acknowledging that different needs require different responses with varying resources, and that inequity involves multiple characteristics in many cases. Services should be codesigned with those who struggle the most to access care and have the poorest outcomes to reduce inequality in health outcomes, they argue.

They add, "Inaction represents an unacceptable choice that increases harms to patients and costs in terms of increased staff absences, sickness, resignations, and reduced productivity.

"The evidence and policy options are abundantly clear. Political and institutional leaders must urgently choose to prioritize the elimination of these avoidable, unhealthy, and costly injustices, or face the consequences of a disaffected NHS workforce, and widening inequalities in health outcomes in the general population.

"The recommendations we make, if implemented, will go a long way to making the NHS a happier and healthier place."

More information: J S Bamrah et al, NHS must tackle racism and sexism for the benefit of patients, staff, and society, BMJ (2025).

Journal information: British Medical Journal (BMJ)

Load comments (0)

This article has been reviewed according to Science X's and . have highlighted the following attributes while ensuring the content's credibility:

fact-checked
peer-reviewed publication
trusted source
proofread

Get Instant Summarized Text (GIST)

Racism, sexism, and other forms of discrimination are widespread in the NHS, negatively affecting staff well-being, patient experiences, and health outcomes, and resulting in significant economic costs. The report outlines urgent actions for government, regulators, and NHS leaders to address inequities, improve accountability, and prioritize health equity to enhance outcomes and workforce retention.

This summary was automatically generated using LLM.