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

Author:

Dunn David1ORCID,McCabe Leanne2,White Ellen2,Delpech Valerie3,Kirwan Peter4,Khawam Jameel4,Croxford Sara4,Ward Denise2,Brodnicki Elizabeth2,Rodger Alison5,McCormack Sheena2

Affiliation:

1. University College London

2. UCL Institute of Clinical Trials and Methodology: University College London Institute of Clinical Trials and Methodology

3. UK Health Security Agency

4. UKHSA: UK Health Security Agency

5. UCL: University College London

Abstract

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 identified either by participant self-report (through internet surveys) or via UKHSA linkage. 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 therefore 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 HIV prevention was highly favourable, and encourages the use of a similar approach in future trials in this disease area.

Publisher

Research Square Platform LLC

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4. Data provenance and integrity of health-care systems data for clinical trials;Murray ML;Lancet Digit Health,2022

5. Hybrid clinical trials to generate real-world evidence: design considerations from a sponsor's perspective;Zhu M;Contemp Clin Trials,2020

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