Evidence map›Paper›PMID 30326967›Full record

ArticleTrials2018

Development of a standardised set of metrics for monitoring site performance in multicentre randomised trials: a Delphi study.

Diane Whitham, Julie Turzanski, Lucy Bradshaw, Mike Clarke, Lucy Culliford, Lelia Duley, Lisa Shaw, Zoe Skea, Shaun P Treweek, Kate Walker and 3 more

Open access · goldAbstract readConsensus Statement
In one paragraph

Article in Trials, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
7.7field-weighted citation impact, top 3% 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

18 citing papers in PubMed, 60 citations in OpenAlex.

  1. Trial
  2. Identifying and Deploying Benchmarks for Clinical Research at Sites.Therapeutic innovation & regulatory science · 2026
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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

13 authors at 6 institutions in 1 country.

Diane WhithamNottingham Clinical Trials Unit, Queens Medical Centre, C Floor, South Block, Nottingham, NG7 2UH, UK.
Julie TurzanskiNottingham Clinical Trials Unit, Queens Medical Centre, C Floor, South Block, Nottingham, NG7 2UH, UK.
Lucy BradshawNottingham Clinical Trials Unit, Queens Medical Centre, C Floor, South Block, Nottingham, NG7 2UH, UK.
Mike ClarkeSchool of Medicine, Dentistry and Biomedical Sciences, Institute of Health Sciences, Queen's University, Belfast, UK.
Lucy CullifordCTEU Bristol, University of Bristol, Bristol Royal Infirmary, Bristol, BS2 8HW, UK.
Lelia DuleyNottingham Clinical Trials Unit, Queens Medical Centre, C Floor, South Block, Nottingham, NG7 2UH, UK.
Lisa ShawInstitute of Neuroscience, Newcastle University, 3-4 Claremont Terrace, Newcastle upon Tyne, NE2 4AE, UK.
Zoe SkeaHealth Services Research Unit, University of Aberdeen, Health Sciences Building, Foresterhill, Aberdeen, AB25 2ZD, UK.
Shaun P TreweekHealth Services Research Unit, University of Aberdeen, Health Sciences Building, Foresterhill, Aberdeen, AB25 2ZD, UK.
Kate WalkerNottingham Clinical Trials Unit, Queens Medical Centre, C Floor, South Block, Nottingham, NG7 2UH, UK.
Paula R WilliamsonMRC North West Hub for Trials Methodology Research, Department Biostatistics, University of Liverpool, Block F Waterhouse Building, 1-5 Brownlow Street, Liverpool, L69 3GL, UK.
Alan A MontgomeryNottingham Clinical Trials Unit, Queens Medical Centre, C Floor, South Block, Nottingham, NG7 2UH, UK. Alan.Montgomery@nottingham.ac.uk.ORCID http://orcid.org/0000-0003-0450-1606
Site Performance Metrics for Multicentre Randomised Trials Collaboration
Queen's Medical Centre · GBUniversity of Aberdeen · GBBristol Royal Infirmary · GBNewcastle University · GBQueen's University Belfast · GBUniversity of Liverpool · GB

Funding

Medical Research Council G0901530National Institute for Health Research NIHR CTU Support Funding
6 · The paper itself

Abstract

backgroundSite performance is key to the success of large multicentre randomised trials. A standardised set of clear and accessible summaries of site performance could facilitate the timely identification and resolution of potential problems, minimising their impact. The aim of this study was to identify and agree a core set of key performance metrics for managing multicentre randomised trials.

methodsWe used a mixed methods approach to identify potential metrics and to achieve consensus about the final set, adapting methods that are recommended by the COMET Initiative for developing core outcome sets in health care. We used performance metrics identified from our systematic search and focus groups to create an online Delphi survey. We invited respondents to score each metric for inclusion in the final core set, over three survey rounds. Metrics scored as critical by ≥70% and unimportant by <15% of respondents were taken forward to a consensus meeting of representatives from key UK-based stakeholders. Participants in the consensus meeting discussed and voted on each metric, using anonymous electronic voting. Metrics with >50% of participants voting for inclusion were retained.

resultsRound 1 of the Delphi survey presented 28 performance metrics, and a further six were added in round 2. Of 294 UK-based stakeholders who registered for the Delphi survey, 211 completed all three rounds. At the consensus meeting, 17 metrics were discussed and voted on: 15 metrics were retained following survey round 3, plus two others that were preferred by consensus meeting participants. Consensus was reached on a final core set of eight performance metrics in three domains: (1) recruitment and retention, (2) data quality and (3) protocol compliance. A simple tool for visual reporting of the metrics is available from the Nottingham Clinical Trials Unit website.

conclusionsWe have established a core set of metrics for measuring the performance of sites in multicentre randomised trials. These metrics could improve trial conduct by enabling researchers to identify and address problems before trials are adversely affected. Future work could evaluate the effectiveness of using the metrics and reporting tool.

Indexed as

Delphi TechniqueConsensusData AccuracyHumansMulticenter Studies as TopicRandomized Controlled Trials as TopicResearch DesignStakeholder ParticipationConsensus meetingDelphi surveyMulticentre randomised trialsPerformance metricsTrial management

Identifiers

PMID30326967
PMCPMC6192223
OpenAlexW2898075743

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.