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

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 inf...

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Autores principales: Dunn, David, McCabe, Leanne, White, Ellen, Delpech, Valerie, Kirwan, Peter D., Khawam, Jameel, Croxford, Sara, Ward, Denise, Brodnicki, Elizabeth, Rodger, Alison, McCormack, Sheena
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10063429/
https://www.ncbi.nlm.nih.gov/pubmed/36997941
http://dx.doi.org/10.1186/s13063-023-07264-6
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author Dunn, David
McCabe, Leanne
White, Ellen
Delpech, Valerie
Kirwan, Peter D.
Khawam, Jameel
Croxford, Sara
Ward, Denise
Brodnicki, Elizabeth
Rodger, Alison
McCormack, Sheena
author_facet Dunn, David
McCabe, Leanne
White, Ellen
Delpech, Valerie
Kirwan, Peter D.
Khawam, Jameel
Croxford, Sara
Ward, Denise
Brodnicki, Elizabeth
Rodger, Alison
McCormack, Sheena
author_sort Dunn, David
collection PubMed
description 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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spelling pubmed-100634292023-03-31 Electronic health records to capture primary outcome measures: two case studies in HIV prevention research Dunn, David McCabe, Leanne White, Ellen Delpech, Valerie Kirwan, Peter D. Khawam, Jameel Croxford, Sara Ward, Denise Brodnicki, Elizabeth Rodger, Alison McCormack, Sheena Trials Methodology 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. BioMed Central 2023-03-31 /pmc/articles/PMC10063429/ /pubmed/36997941 http://dx.doi.org/10.1186/s13063-023-07264-6 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Methodology
Dunn, David
McCabe, Leanne
White, Ellen
Delpech, Valerie
Kirwan, Peter D.
Khawam, Jameel
Croxford, Sara
Ward, Denise
Brodnicki, Elizabeth
Rodger, Alison
McCormack, Sheena
Electronic health records to capture primary outcome measures: two case studies in HIV prevention research
title Electronic health records to capture primary outcome measures: two case studies in HIV prevention research
title_full Electronic health records to capture primary outcome measures: two case studies in HIV prevention research
title_fullStr Electronic health records to capture primary outcome measures: two case studies in HIV prevention research
title_full_unstemmed Electronic health records to capture primary outcome measures: two case studies in HIV prevention research
title_short Electronic health records to capture primary outcome measures: two case studies in HIV prevention research
title_sort electronic health records to capture primary outcome measures: two case studies in hiv prevention research
topic Methodology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10063429/
https://www.ncbi.nlm.nih.gov/pubmed/36997941
http://dx.doi.org/10.1186/s13063-023-07264-6
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