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Understanding Site Performance Differences in Multinational Phase III Clinical Trials

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Abstract

Background

This paper explores the impact of various factors on completion times in phase III clinical trials; specifically, why some sites are able to complete more patients during the course of the clinical trial than other sites, including those within the same trial.

Method

Seven companies provided research data for inclusion in this analysis. The study sample inclusion criteria were the indications of asthma, chronic obstructive pulmonary disease, depression, schizophrenia, bipolar disorder, hypertension, type 2 diabetes mellitus or menopausal syndrome; phase III; study completion between 2002 and 2005; a New Chemical Entity for an initial (primary) indication and formulation; adult outpatient subjects; and multinational design, with sites in the US, at least one Western European country, and at least one Eastern or Central European country. The analysis assessed both study-level and site-level variables.

Results

This paper analyses the results from 262 phase III studies, involving 2047 sites, meeting the stated inclusion criteria. Unsurprisingly, the number of enrolled patients is a clear predictor of the number of completed patients (standardised beta coefficient 0.877; p=0.001). Better performing sites started enrolling patients earlier than other sites and continued to enrol patients over a longer period of time. The time between when a site enrols its first patient and the time the first site in that study enrols its first patient, is a specific predictor of how well a given site will perform; indeed the relationship is inverse so that the greater the time difference, the poorer the performance. Sites involved in studies using competitive enrolment and milestone payments generally complete a higher number of patients. The same holds for sites in clinical trials using upfront, nonrefundable start-up payments, although the relationship is weaker. Interestingly, higher grant payment levels do not translate into better site performance. Site level variables were consistent with study level variables. In addition, investigators with more recent clinical research experience with that sponsor company perform better and sites using a central institutional review board (IRB) outperform sites using local IRBs or a combination of central and local IRBs.

Conclusions

Three major conclusions emerge from the analysis. First, better performing sites begin enrolling quickly, providing more time to enrol patients, and these sites continue to enrol and complete patients over that extended period of time. Second, investigators with overall clinical experience, especially with the sponsor company, are usually the better performers. Third, how much an investigator is paid seems less important than how that investigator is paid. Higher payment levels are not associated with improved site performance. In contrast, the use of competitive enrolment and milestone payments does seem to positively affect performance.

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Notes

  1. Another term frequently used to refer to newly developed compounds is ‘new molecular entity’ (NME). The US Food and Drug Administration (FDA) coined the term for use in its published statistical reports. The FDA includes some diagnostic agents and excludes therapeutic biological in data they present on NMEs, whereas in this report the term NCE is used to refer to therapeutic drugs and biologicals but not to diagnostic products.

  2. Dummy variables are dichotomous variables that allow for the introduction of categorical variables in statistical techniques requiring metric data. If a study involves a specific indication, e.g. type 2 diabetes, that variable is recorded as a 1 for that study (that variable is called a diabetes study). Studies in all other indications are recorded as 0 for that variable. The process is then repeated for each indication. Each study can receive a 1 in only one of the dummy variables.

References

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Acknowledgements

This project originated out of a 2004–5 graduate seminar in the pharmaceutical business programme at the University of the Sciences in Philadelphia. We would like to thank all the students for their help in interviewing companies and collecting data. Particular thanks go to two former students, Dan Beaudry and Wan-shu Huang, who helped with data preparation and analysis. TTC llc. supplied the comparative clinical grant cost data for analysis.

No sources of funding were used to assist in the preparation of this study. The authors have no conflicts of interest that are directly relevant to the content of this study.

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Correspondence to Harold E. Glass.

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Glass, H.E., DiFrancesco, J.J. Understanding Site Performance Differences in Multinational Phase III Clinical Trials. Int J Pharm Med 21, 279–286 (2007). https://doi.org/10.2165/00124363-200721040-00004

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