Evidence mapPaperPMID 36997941Full record

ArticleTrials2023

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 and 1 more

Open access · goldAbstract read
In one paragraph

Article in Trials, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.8field-weighted citation impact, top 31% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors at 3 institutions in 1 country.

David DunnMRC Clinical Trials Unit at UCL, London, UK. d.dunn@ucl.ac.uk.ORCID http://orcid.org/0000-0003-1836-4446
Leanne McCabeMRC Clinical Trials Unit at UCL, London, UK.
Ellen WhiteMRC Clinical Trials Unit at UCL, London, UK.
Valerie DelpechNational Infection Service, UKHSA, London, UK.
Peter D KirwanNational Infection Service, UKHSA, London, UK.
Jameel KhawamNational Infection Service, UKHSA, London, UK.
Sara CroxfordNational Infection Service, UKHSA, London, UK.
Denise WardMRC Clinical Trials Unit at UCL, London, UK.
Elizabeth BrodnickiMRC Clinical Trials Unit at UCL, London, UK.
Alison RodgerInstitute for Global Health, University College London, London, UK.
Sheena McCormackMRC Clinical Trials Unit at UCL, London, UK.
MRC Clinical Trials Unit at UCL · GBThe George Institute for Global Health · GBUniversity College London · GB

Funding

Medical Research Council MC_UU_00004/03Medical Research Council MC_UU_00004/08
6 · The paper itself

Abstract

backgroundThere 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.

conclusionsOur 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.

Indexed as

Electronic Health RecordsHIV InfectionsHumansPre-Exposure ProphylaxisRandomized Controlled Trials as TopicResearch DesignElectronic health recordsHIVPrimary outcomeRoutinely collected health-care data

Identifiers

PMID36997941
PMCPMC10063429
OpenAlexW4362507294

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.