Detecting high-risk smokers in Primary Care Electronic Health Records

  • Research type

    Research Study

  • Full title

    Detecting high-risk smokers in Primary Care Electronic Health Records: an automatic classification, data extraction and predictive modelling approach.

  • IRAS ID

    293704

  • Contact name

    Lamorna Brown

  • Contact email

    lb300@st-andrews.ac.uk

  • Sponsor organisation

    University of St Andrews

  • Duration of Study in the UK

    3 years, 0 months, 1 days

  • Research summary

    Why?
    In the UK, lung cancer (LC) accounts for 21% of all cancer related deaths. The majority of lung cancer cases are diagnosed at a late stage, resulting in poor patient prognosis. Screening high-risk populations using blood-biomarkers and low dose CT has significant survival benefits. As medical screening is most effective on individuals at a high risk of developing lung cancer, it is crucial that high-risk individuals are identified. This would ensure that screening interventions are implemented in the most beneficial and cost-effective way. Further trials and lung cancer modelling will be able to identify specific criteria which has the greatest pay-off for individuals at risk.

    The research question to be addressed is:
    What factors, contained in electronic health records (EHRs), are associated with and produce estimates of risk for lung cancer in individuals that smoke?

    What?
    The topic being studied is lung cancer risk.

    Who?
    The patients and practices that took part in the ECLS trial will be included in the study.

    Where?
    The study will be conducted from the University of St Andrews.

    How?
    Participants will not be asked for any additional information, as the study will examine data collected as part of the ECLS trial and data already contained in participants EHRs. The researcher analysing the data (LB) will receive anonymised data, which will be analysed within a Safe Haven. It is expected that the study will last 3 years.
    The EHR data will be from GP practices across NHS Tayside, Greater Glasgow and Clyde and Lanarkshire. It will be collected and processed by Albasoft, who will then transfer the data to the HIC for linkage with ECLS dataset.

  • REC name

    North East - Newcastle & North Tyneside 1 Research Ethics Committee

  • REC reference

    21/NE/0174

  • Date of REC Opinion

    5 Oct 2021

  • REC opinion

    Further Information Favourable Opinion