Unfortunately, your browser is too old to work on this website. Please upgrade your browser
Skip to main content

A team that set up a mass COVID-19 testing pilot in Liverpool and a team that researched the prevalence of long COVID in Scotland have been announced as the joint winners of the 2023 Florence Nightingale Award for Excellence in Healthcare Data Analytics.

The award, now in its fourth year, is jointly awarded by the Royal Statistical Society and the Health Foundation. It recognises practitioners in applied health care data analytics who have gone the extra mile in delivering innovative improvements for the health care system.

This year, the award has been jointly awarded to two teams for their projects related to COVID-19:

  • The Liverpool COVID-SMART mass testing evaluation and CIPHA analytic legacy is a project led by a team at the University of Liverpool that established the world’s first city-wide, voluntary COVID-19 rapid antigen testing pilot. Analysis found that the pilot was associated with a 25 per cent reduction in COVID-19 hospitalisations in Liverpool. Work on the project involved the creation of the UK’s first Civic Data Cooperative for public and practitioner involvement in health data. Data gathered for the project informed UK and international pandemic policy, revealing insights that helped with community approaches to COVID-19 testing. The project involved engaging with different organisations and the wider public, and there was a commitment to openness, with the publication of the code and resources.
  • The Analysing electronic health records to identify prevalence of long COVID is a collaboration between the universities of St Andrews, Aberdeen, Edinburgh, Glasgow and Strathclyde. It involved rigorous statistical analysis of the health records of Scotland’s entire adult population in order to estimate the prevalence of long COVID in the country. The study was the first of its kind to provide an estimate of long COVID across a national population using free text in GP notes. 
    Understanding how many people have long COVID is important for addressing the scale of the problem. The results of the analysis have been used to inform Public Health Scotland’s provision for long COVID patients, as well as the Scottish Parliament’s COVID-19 Recovery Committee recommendations on legislation and policies.

Charles Tallack, Director of Data Analytics at the Health Foundation, said: ‘The effective use of data and analytics is crucial to the recovery of the health and care system. These two winning projects are excellent examples of ambitious collaborations that improved health and care by harnessing data in innovative ways. Each team meaningfully involved and engaged patients and the public in their work and published a wealth of information and resources in easily accessible forms. These impactful pieces of work are brilliant examples of how data analysts are tackling real world problems and benefiting patients. Congratulations to both teams.’

Jonathan Everett, Head of Policy at the Royal Statistical Society, said: ‘This year’s winners demonstrate the breadth of impact data analytics has within healthcare and the positive outcomes it brings for patients and the wider public. I would like to give my congratulations to both teams.’

The Royal Statistical Society and Health Foundation are grateful to the judging panel (Nessa Becerra, Geraint Day, Karen Facey and Natalie Creary) for their involvement in this year’s award.   

Further reading

You might also like...

Kjell-bubble-diagramArtboard 101 copy

Get social

Follow us on Twitter
Kjell-bubble-diagramArtboard 101

Work with us

We look for talented and passionate individuals as everyone at the Health Foundation has an important role to play.

View current vacancies
Artboard 101 copy 2

The Q community

Q is an initiative connecting people with improvement expertise across the UK.

Find out more