Literature DB >> 33231127

Assessing the potential for prevention or earlier detection of on-site monitoring findings from randomised controlled trials: Further analyses of findings from the prospective TEMPER triggered monitoring study.

William J Cragg1,2, Caroline Hurley3, Victoria Yorke-Edwards1, Sally P Stenning1.   

Abstract

BACKGROUND/AIMS: Clinical trials should be designed and managed to minimise important errors with potential to compromise patient safety or data integrity, employ monitoring practices that detect and correct important errors quickly, and take robust action to prevent repetition. Regulators highlight the use of risk-based monitoring, making greater use of centralised monitoring and reducing reliance on centre visits. The TEMPER study was a prospective evaluation of triggered monitoring (a risk-based monitoring method), whereby centres are prioritised for visits based on central monitoring results. Conducted in three UK-based randomised cancer treatment trials of investigational medicine products with time-to-event outcomes, it found high levels of serious findings at triggered centre visits but also at visits to matched control centres that, based on central monitoring, were not of concern. Here, we report a detailed review of the serious findings from TEMPER centre visits. We sought to identify feasible, centralised processes which might detect or prevent these findings without a centre visit.
METHODS: The primary outcome of this study was the proportion of all 'major' and 'critical' TEMPER centre visit findings theoretically detectable or preventable through a feasible, centralised process. To devise processes, we considered a representative example of each finding type through an internal consensus exercise. This involved (a) agreeing the potential, by some described process, for each finding type to be centrally detected or prevented and (b) agreeing a proposed feasibility score for each proposed process. To further assess feasibility, we ran a consultation exercise, whereby the proposed processes were reviewed and rated for feasibility by invited external trialists.
RESULTS: In TEMPER, 312 major or critical findings were identified at 94 visits. These findings comprised 120 distinct issues, for which we proposed 56 different centralised processes. Following independent review of the feasibility of the proposed processes by 87 consultation respondents across eight different trial stakeholder groups, we conclude that 306/312 (98%) findings could theoretically be prevented or identified centrally. Of the processes deemed feasible, those relating to informed consent could have the most impact. Of processes not currently deemed feasible, those involving use of electronic health records are among those with the largest potential benefit.
CONCLUSIONS: This work presents a best-case scenario, where a large majority of monitoring findings were deemed theoretically preventable or detectable by central processes. Caveats include the cost of applying all necessary methods, and the resource implications of enhanced central monitoring for both centre and trials unit staff. Our results will inform future monitoring plans and emphasise the importance of continued critical review of monitoring processes and outcomes to ensure they remain appropriate.

Entities:  

Keywords:  Monitoring; central monitoring; efficient trial conduct; on-site monitoring; risk-based monitoring

Mesh:

Substances:

Year:  2020        PMID: 33231127      PMCID: PMC7876652          DOI: 10.1177/1740774520972650

Source DB:  PubMed          Journal:  Clin Trials        ISSN: 1740-7745            Impact factor:   2.486


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7.  Commentary on Engen et al: Risk-based, dynamic, process-oriented monitoring strategies and their burden.

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Journal:  Clin Trials       Date:  2019-10-24       Impact factor: 2.486

8.  Reducing clinical trial monitoring resource allocation and costs through remote access to electronic medical records.

Authors:  Shannon C Uren; Mitchell B Kirkman; Brad S Dalton; John R Zalcberg
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9.  Prevalence and reporting of recruitment, randomisation and treatment errors in clinical trials: A systematic review.

Authors:  Lisa N Yelland; Brennan C Kahan; Elsa Dent; Katherine J Lee; Merryn Voysey; Andrew B Forbes; Jonathan A Cook
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10.  The value of source data verification in a cancer clinical trial.

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Authors:  Katharina Klatte; Christiane Pauli-Magnus; Sharon B Love; Matthew R Sydes; Pascal Benkert; Nicole Bruni; Hannah Ewald; Patricia Arnaiz Jimenez; Marie Mi Bonde; Matthias Briel
Journal:  Cochrane Database Syst Rev       Date:  2021-12-08
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