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. 2018 Oct 16;19(1):562.
doi: 10.1186/s13063-018-2941-8.

Monitoring performance of sites within multicentre randomised trials: a systematic review of performance metrics

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Monitoring performance of sites within multicentre randomised trials: a systematic review of performance metrics

Kate F Walker et al. Trials. .

Abstract

Background: Large multicentre trials are complex and expensive projects. A key factor for their successful planning and delivery is how well sites meet their targets in recruiting and retaining participants, and in collecting high-quality, complete data in a timely manner. Collecting and monitoring easily accessible data relevant to performance of sites has the potential to improve trial management efficiency. The aim of this systematic review was to identify metrics that have either been proposed or used for monitoring site performance in multicentre trials.

Methods: We searched the Cochrane Library, five biomedical bibliographic databases (CINAHL, EMBASE, Medline, PsychINFO and SCOPUS) and Google Scholar for studies describing ways of monitoring or measuring individual site performance in multicentre randomised trials. Records identified were screened for eligibility. For included studies, data on study content were extracted independently by two reviewers, and disagreements resolved by discussion.

Results: After removing duplicate citations, we identified 3188 records. Of these, 21 were eligible for inclusion and yielded 117 performance metrics. The median number of metrics reported per paper was 8, range 1-16. Metrics broadly fell into six categories: site potential; recruitment; retention; data collection; trial conduct and trial safety.

Conclusions: This review identifies a list of metrics to monitor site performance within multicentre randomised trials. Those that would be easy to collect, and for which monitoring might trigger actions to mitigate problems at site level, merit further evaluation.

Keywords: Clinical trials; Key performance indicators; Multicentre; Operational metrics; Performance metrics; Randomised trials; Site performance; Trial management.

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Conflict of interest statement

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Not applicable.

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Not applicable.

Competing interests

The authors declare that they have no competing interests.

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