Trials (Mar 2023)

Electronic health records to capture primary outcome measures: two case studies in HIV prevention research

  • David Dunn,
  • Leanne McCabe,
  • Ellen White,
  • Valerie Delpech,
  • Peter D. Kirwan,
  • Jameel Khawam,
  • Sara Croxford,
  • Denise Ward,
  • Elizabeth Brodnicki,
  • Alison Rodger,
  • Sheena McCormack

DOI
https://doi.org/10.1186/s13063-023-07264-6
Journal volume & issue
Vol. 24, no. 1
pp. 1 – 8

Abstract

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Abstract Background There is increasing interest in the use of electronic health records (EHRs) to improve the efficiency and cost-effectiveness of clinical trials, including the capture of outcome measures. Main text We describe our experience of using EHRs to capture the primary outcome measure — HIV infection or the diagnosis of HIV infection — in two randomised HIV prevention trials conducted in the UK. PROUD was a clinic-based trial evaluating pre-exposure prophylaxis (PrEP), and SELPHI was an internet-based trial evaluating HIV self-testing kits. The EHR was the national database of HIV diagnoses in the UK, curated by the UK Health Security Agency (UKHSA). In PROUD, linkage to the UKHSA database was performed at the end of the trial and identified five primary outcomes in addition to the 30 outcomes diagnosed by the participating clinics. Linkage also produced an additional 345 person-years follow-up, an increase of 27% over clinic-based follow-up. In SELPHI, new HIV diagnoses were primarily identified via UKHSA linkage, complemented by participant self-report through internet surveys. Rates of survey completion were low, and only 14 of the 33 new diagnoses recorded in the UKHSA database were also self-reported. Thus UKHSA linkage was essential for capturing HIV diagnoses and the successful conduct of the trial. Conclusions Our experience of using the UKHSA database of HIV diagnoses as a source of primary outcomes in two randomised trials in the field of HIV prevention was highly favourable and encourages the use of a similar approach in future trials in this disease area.

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