New figures show black and Asian doctors still face discrimination when they apply for NHS jobs.
New data published by The BMJ today show that white doctors applying for medical posts in London are six times more likely to be offered a job than black applicants.
The new data, released under the Freedom of Information (FOI) Act, also show that white doctors are four times more likely to be successful than Asian candidates or candidates from a mixed ethnic background.
The figures were uncovered by Sheila Cunliffe, a senior human resources professional who works in workforce transformation across the NHS and wider public sector.
Cunliffe asked all 18 NHS acute trusts in London for a breakdown by ethnicity for 2020-21 of the numbers of applicants for medical jobs, shortlisted candidates, and candidates offered positions. She has summarised her findings in a report published online.
The data published today are based on responses from 12 of the 18 trusts that shared full unredacted data with The BMJ.
They show stark differences in the proportions of applicants from different ethnic backgrounds being offered medical jobs.
For example, at Barts Health NHS Trust, white applicants were 15 times more likely than black applicants to be offered a job. And at St George's University Hospitals’ NHS Foundation Trust, white applicants were 13 times more likely than black applicants, and 11 times more likely than Asian applicants, to be offered a job.
Cunliffe says the disparity is not due to a shortage of applicants, pointing out that during 2020-21 Kingston Hospital NHS Foundation Trust (KHFT) offered medical positions to 90 applicants, including 50 of the 317 white applicants. Yet despite 418 black candidates applying for medical positions and 65 being shortlisted, no black doctor was offered a position at the trust during that period.
“The NHS is not making a significant shift in D&I [diversity and inclusion],” says Cunliffe, and she calls for action to improve the situation at trusts with the widest ethnic inequalities in recruitment.
Cunliffe’s data follow Workforce Race Equality Standard (WRES) figures showing that discrimination against doctors from ethnic minorities begins early and continues throughout their careers, and this has now led to a call for official data to reflect the whole recruitment process.
Responding to Cunliffe’s findings, a spokesperson for the NHS in London said: "The NHS in London is built on the skill and dedication of its diverse workforce and is committed to ensuring fair and equal opportunities for all and, after listening to the experiences of NHS staff, work is underway to improve recruitment and selection processes as well as the accessibility and visibility of new roles.”
But Roger Kline, former WRES co-director, says: “The way that organisations have gone about their recruitment and career progression has been greatly influenced by all sorts of biases, stereotypes and assumptions.”
He argues that data-driven accountability, not training, is essential to eradicating inequalities in recruitment - for example, embedding key performance indicators and adopting ‘comply or explain’ processes. “And, once you appoint people, you have to create an inclusive environment for them to work in.”
In a linked opinion, Cunliffe describes the difficulties she faced getting hold of these data, and says hospitals should be sharing this information freely and using it to make improvements.
She concludes: “My challenge to individual NHS trusts is to ask, “If you are not taking demonstrably effective action on this now, when will you?” It’s not enough to include nice words that speak of equality in your corporate trust documents without making them a reality. What staff and patients urgently need is effective change and an inclusive environment where we can all thrive at work.”
Notes for editors
Feature: Black and Asian doctors still face discriminaton when they apply for jobs in the NHS
Opinion: NHS trusts should be openly sharing their data on ethnicity and recruitment
Journal: The BMJ
Link to Academy of Medical Sciences press release labelling system: https://press.psprings.co.uk/
Externally peer reviewed? No
Evidence type: Data analysis; Opinion
Subject: Medical recruitment
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