Evidence map›Paper›PMID 34696781›Full record

ArticleBMC medicine2021

Costs and staffing resource requirements for adaptive clinical trials: quantitative and qualitative results from the Costing Adaptive Trials project.

Nina Wilson, Katie Biggs, Sarah Bowden, Julia Brown, Munyaradzi Dimairo, Laura Flight, Jamie Hall, Anna Hockaday, Thomas Jaki, Rachel Lowe and 12 more

Abstract read
In one paragraph

Article in BMC medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 2 pooled it
–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.

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

14 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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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

22 authors.

Nina WilsonPopulation Health Sciences Institute, Newcastle University, Baddiley-Clark Building, Richardson Road, Newcastle upon Tyne, NE2 4AX, UK.
Katie BiggsSchool of Health and Related Research (ScHARR), University of Sheffield, Sheffield, UK.
Sarah BowdenCancer Research UK Clinical Trials Unit (CRCTU), University of Birmingham, Birmingham, UK.
Julia BrownLeeds Institute of Clinical Trials Research, University of Leeds, Leeds, UK.
Munyaradzi DimairoSchool of Health and Related Research (ScHARR), University of Sheffield, Sheffield, UK.
Laura FlightSchool of Health and Related Research (ScHARR), University of Sheffield, Sheffield, UK.
Jamie HallSchool of Health and Related Research (ScHARR), University of Sheffield, Sheffield, UK.
Anna HockadayLeeds Institute of Clinical Trials Research, University of Leeds, Leeds, UK.
Thomas JakiMRC Biostatistics Unit, University of Cambridge, Cambridge, UK.
Rachel LoweCentre for Trials Research, Cardiff University, Cardiff, UK.
Caroline MurphyKing's College Trials Unit, King's College London, London, UK.
Philip PallmannCentre for Trials Research, Cardiff University, Cardiff, UK.
Mark A PillingDepartment of Public Health and Primary Care, University of Cambridge, Cambridge, UK.
Claire SnowdonThe Institute of Cancer Research Clinical Trials & Statistics Unit, London, UK.
Matthew R SydesMRC Clinical Trials Unit at UCL, London, UK.
Sofía S VillarMRC Biostatistics Unit, University of Cambridge, Cambridge, UK.
Christopher J WeirEdinburgh Clinical Trials Unit, Usher Institute, University of Edinburgh, Edinburgh, UK.
Jessica WelburnSchool of Health and Related Research (ScHARR), University of Sheffield, Sheffield, UK.
Christina YapThe Institute of Cancer Research Clinical Trials & Statistics Unit, London, UK.
Rebecca MaierPopulation Health Sciences Institute, Newcastle University, Baddiley-Clark Building, Richardson Road, Newcastle upon Tyne, NE2 4AX, UK.
Helen HancockPopulation Health Sciences Institute, Newcastle University, Baddiley-Clark Building, Richardson Road, Newcastle upon Tyne, NE2 4AX, UK.
James M S WasonPopulation Health Sciences Institute, Newcastle University, Baddiley-Clark Building, Richardson Road, Newcastle upon Tyne, NE2 4AX, UK. james.wason@newcastle.ac.uk.ORCID 0000-0002-4691-126X

Funding

Cancer Research UK 25350Cancer Research UK 25354Medical Research Council MC_UU_00002/15Medical Research Council MC_UU_00002/6Medical Research Council MC_UU_00004/08Medical Research Council MC_UU_12023/24Medical Research Council MR/N028171/1Medical Research Council MR/S014357/1
6 · The paper itself

Abstract

backgroundAdaptive designs offer great promise in improving the efficiency and patient-benefit of clinical trials. An important barrier to further increased use is a lack of understanding about which additional resources are required to conduct a high-quality adaptive clinical trial, compared to a traditional fixed design. The Costing Adaptive Trials (CAT) project investigated which additional resources may be required to support adaptive trials.

methodsWe conducted a mock costing exercise amongst seven Clinical Trials Units (CTUs) in the UK. Five scenarios were developed, derived from funded clinical trials, where a non-adaptive version and an adaptive version were described. Each scenario represented a different type of adaptive design. CTU staff were asked to provide the costs and staff time they estimated would be needed to support the trial, categorised into specified areas (e.g. statistics, data management, trial management). This was calculated separately for the non-adaptive and adaptive version of the trial, allowing paired comparisons. Interviews with 10 CTU staff who had completed the costing exercise were conducted by qualitative researchers to explore reasons for similarities and differences.

resultsEstimated resources associated with conducting an adaptive trial were always (moderately) higher than for the non-adaptive equivalent. The median increase was between 2 and 4% for all scenarios, except for sample size re-estimation which was 26.5% (as the adaptive design could lead to a lengthened study period). The highest increase was for statistical staff, with lower increases for data management and trial management staff. The percentage increase in resources varied across different CTUs. The interviews identified possible explanations for differences, including (1) experience in adaptive trials, (2) the complexity of the non-adaptive and adaptive design, and (3) the extent of non-trial specific core infrastructure funding the CTU had.

conclusionsThis work sheds light on additional resources required to adequately support a high-quality adaptive trial. The percentage increase in costs for supporting an adaptive trial was generally modest and should not be a barrier to adaptive designs being cost-effective to use in practice. Informed by the results of this research, guidance for investigators and funders will be developed on appropriately resourcing adaptive trials.

Indexed as

Research DesignResearch PersonnelAdaptive Clinical Trials as TopicCost-Benefit AnalysisHumansWorkforceAdaptive clinical trialsAdaptive designsClinical trialsEfficiencyResource requirementsTrial coordination

Identifiers

PMID34696781
PMCPMC8545558

What OpenQuestion holds

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LicenceCC BY
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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 OpenQuestion graph.