Evidence map›Paper›PMID 40348398›Full record

Trial reportBMJ evidence-based medicine2025

Digital integration of research conduct into clinical care: results of the PROSPECTOR randomised feasibility study.

Matthew G Wilson, Folkert W Asselbergs, Nausheen Saleem, Lelia Jeilani, David Brealey, Matthew R Sydes, Steve Harris

Registry-linked trialAbstract readClinical Trial, Phase IVRandomized Controlled Trial
In one paragraph

Trial report in BMJ evidence-based medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05149820 (A Single-Centre Feasibility Study of PROSPECTOR - Point of Care RandOmisation Systems for Performing Embedded Comparative Effectiveness Trials Of Routine Treatments in Critical Care), which is not on this map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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.

NCT05149820 phase4unknown statusnot on this map

A Single-Centre Feasibility Study of PROSPECTOR - Point of Care RandOmisation Systems for Performing Embedded Comparative Effectiveness Trials Of Routine Treatments in Critical Care

TypeinterventionalSponsorUniversity College, LondonRan2022 to 2023Enrolled100ConditionsAtrial Fibrillation New Onset, Magnesium DeficiencyArmsElectronic Point of Care Randomisation tool, Magnesium
3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Matthew G WilsonUniversity College London, London, UK m.wilson.18@ucl.ac.uk.ORCID 0000-0002-5001-0253
Folkert W AsselbergsUniversity College London, London, UK.
Nausheen SaleemUniversity College London, London, UK.
Lelia JeilaniUniversity College London, London, UK.
David BrealeyUniversity College London, London, UK.
Matthew R SydesUniversity College London, London, UK.
Steve HarrisUniversity College London, London, UK.

Funding

NIHR National Institutes of Health & Central London Patient Safety Research Collaboration NIHR 204297
6 · The paper itself

Abstract

objectivesTo evaluate the feasibility of conducting a clinically integrated randomised comparative effectiveness trial using digital clinical trial infrastructure within an electronic patient record (EPR).

designA mixed-methods, unblinded, feasibility study of digital clinical trial system incorporating testing of two designs of electronic point-of-care randomisation prompt.

settingThe study was conducted at University College London Hospitals NHS Trust between March and November 2022. The study used a real clinical research question for context, comparing liberal vs restrictive strategies for magnesium supplementation to prevent new-onset atrial fibrillation in critical care.

participantsAdult patients undergoing elective, non-cardiac surgical procedures expecting postoperative admission to critical care were recruited.

interventionsA digital trial system screened participants continuously against eligibility criteria. Participants were automatically randomised (1:1) to (1) magnesium supplementation strategy and (2) one of two electronic randomisation prompt designs (nudge or preference).Electronic point-of-care randomisation prompts displayed to clinicians at regular intervals, inviting them to follow a randomised magnesium supplementation suggestion.

main outcome measuresThe primary outcome measure was a composite determination of study design feasibility (including recruitment, technical performance and concordance between the randomised suggestion and the observed clinician action).

results23 patients were recruited and 11 successfully randomised. The implemented digital systems for automated eligibility screening, randomisation, data collection and follow-up demonstrated technical feasibility. 47 electronic point-of-care randomisation prompts successfully deployed across 11 patients. Clinician actions were concordant with randomised suggestions in 32 prompts (68%).Technical and implementational barriers to delivering the electronic point-of-care randomisation prompts were identified. Patients were followed up to 30 days following discharge from hospital, with no serious adverse events attributable to participation identified.There was insufficient data to make a quantitative determination on the superiority of either prompt design. Clinician feedback suggested the simplified design (nudge) had greater utility.

conclusionsThis study demonstrates that digitally embedding clinical trial infrastructure into a site-level EPR and integrating conduct into clinical care is safe and feasible. Future work will focus on improving and expanding the integrated digital trial design across multiple centres. TRIAL REGISTRATION NUMBER: NCT05149820.

Indexed as

Atrial FibrillationElectronic Health RecordsAdultAgedCritical CareFeasibility StudiesFemaleHumansMaleMiddle AgedPoint-of-Care SystemsResearch DesignClinical Decision-MakingCritical CareEvidence-Based PracticePerioperative Medicine

Identifiers

PMID40348398
PMCPMC12505030

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Registered trials

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 OpenQuestion graph.