QCovid adds 1.7 million people to England's shielding list

The UK Covid-19 Inquiry reports that QCovid data led to 1.7 million more people on England's Shielded Patient List in February 2021. Of those with ethnicity recorded, 36% were non-white.

  • Not rated a person

    The Inquiry does not report what shielding advice or support changed for the 1.7 million people added.

  • 2 society

    England's shielding list grew by 1.7 million people, with a larger share of non-white people than the adult population.

Depth runs from 1, a convenience or time saved, to 5, a life or a livelihood preserved.

Status
Reported benefit.
Evidence

foundstudiedreportedclaimed

An independent inquiry report supports the benefit.

Compared with

The adult population. Measured.

Without the system
17% non-white ethnicity recorded in the adult population
With it
36% were non-white
The system’s part
Not isolated. The Inquiry credits the QCovid data with the expansion without comparing them with other ways of finding people at risk. Its text calls QCovid a predictive risk model and does not say how it was built. The developers' paper says that its risk equations were fitted to the records of 6.08 million adults.
Limits
Not yet checked.
Costs and harms
Not yet checked.
Later
Persisted. The Inquiry reports that the tool was validated in the summer of 2021 as performing well in predicting Covid-19 mortality.

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Benefit type
Improved Physical Health
System
QCovid risk stratification tool
Made by
Researchers led from the University of Oxford, using the QResearch database of general practice records
Used by
NHS England with NHS Digital, which kept the Shielded Patient List in England
Where
England, United Kingdom
Stage
Expanding
Date
Kind
Aggregate result
Broad benefit
Analyzing Data or Information, Judging the Qualities of Objects, Services, or People
Collections
Scrutiny and findings
Last revised
31 October 2026

Sources

  1. Peer-reviewed study, by the makers. Context or contrary evidence.

    Clift AK, Coupland CAC, Keogh RH, et al. Living risk prediction algorithm (QCOVID) for risk of hospital admission and mortality from coronavirus 19 in adults: national derivation and validation cohort study. BMJ 2020, 371:m3731.

    Models were fitted in the derivation cohort to derive risk equations using a range of predictor variables.

  2. Inquiry report, by authors with no tie to the system.

    UK Covid-19 Inquiry (Chair: The Rt Hon the Baroness Hallett DBE). Module 3: The impact of the Covid-19 pandemic on the healthcare systems of the United Kingdom (HC 1730), ordered to be printed 19 March 2026, paras 3.35-3.38. Accessible PDF with the May 2026 correction slip.

    In February 2021, the QCovid data resulted in a major expansion of the Shielded Patient List in England, especially of people from ethnic minority backgrounds. An additional 1.7 million people were added to the list

Details

AI system

Workflow

The Chief Medical Officers reviewed early QCovid data and agreed to use the tool. Records with missing data took the highest-risk ethnicity and a higher than average body mass index as defaults. NHS England and NHS Digital kept the Shielded Patient List by connecting seven databases.

Follow-up

Conditions for replication

Patient records are accurate, complete and coded in enough detail. Health data can be linked across systems, which Scotland's data structures did not allow.

Entry details

Sector

Public health / pandemic risk stratification.

Purpose

University of Oxford researchers built QCovid to estimate an adult's risk of hospital admission or death from Covid-19, using age, ethnicity, deprivation, body mass index and other conditions.

Not yet checked: model, release, provider, role, configuration, inputs and outputs, autonomy, human oversight, AI contribution, beneficiaries, reach, distribution and access, duration, every measurement question, every money question, ownership and control, dependencies, cross-border connections, geopolitical implications, replication attempts, availability, institutional decision, grounds, action and result, success criterion, every evidence question, observed or intended, alternative assessments, related entries, other identifiers, category mappings.

Cite this record

Peter H. Vartanian. (2026). QCovid adds 1.7 million people to England's shielding list (AIBD-0840). Artificial Intelligence Benefits Database, edition of 31 October 2026. https://petervartanian.xyz/aibd/records/AIBD-0840.html (archived at https://doi.org/10.7910/DVN/AADSII, version 4.0)

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