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Presence and activities of clinical research coordinators at Italian Health Care Institutions: A national cross-sectional survey

Published online by Cambridge University Press:  28 October 2021

Caterina Caminiti
Affiliation:
Clinical and Epidemiology Research Unit, University Hospital of Parma, Parma, Italy
Giuseppe Maglietta*
Affiliation:
Clinical and Epidemiology Research Unit, University Hospital of Parma, Parma, Italy
Ileana Frau
Affiliation:
Site Relationship Manager (SRM) Site Management, IQVIA, Milan, Italy
Giulia Peruzzotti
Affiliation:
Clinical Trial Office IEO, European Institute of Oncology IRCCS, Milan, Italy
Mariagrazia Felisi
Affiliation:
Quality Assurance Unit, Consorzio per Valutazioni Biologiche e Farmacologiche, Pavia, Italy
Antoinette van Dijk
Affiliation:
Clinical & Medical Affairs Unit, D.O. Research Sagl, Lugano, Switzerland
*
Address for correspondence: G. Maglietta, Clinical and Epidemiology Research Unit, University Hospital of Parma, Via Gramsci, 14, Parma 43126, Italy. Email: gmaglietta@ao.pr.it
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Abstract

Background:

Clinical Research Coordinators (CRCs) are key members of research teams who ensure rigorous conduction of clinical studies and quality standard compliance. Yet, their roles and responsibilities are still not well defined, and formal recognition of their professional profile is lacking in Italy. This survey of Italian healthcare institutions collected data on centers’ research activities number of CRCs and tasks they performed and explored factors associated with CRC employment.

Methods:

Cross-sectional study using a brief questionnaire. Data were analyzed by means of graphical representations, histogram, scatter, and polar plots. Multivariable linear regression was specified to test the association between the number of CRCs and a subset of factors.

Results:

Data collection took place from February to December 2020. 62/143 institutions (43.4%) responded. Median number of ongoing studies reported by centers was 65 (IQR 29–205); of these, median of sponsored and interventional studies was 32 and 35, respectively. Median number of CRCs employed at each center was 6 (IQR 2–9). The frequency with which activities were reported to be performed by CRCs overlapped with those of Data Managers. Linear multivariable regression analysis revealed a statistically significant association between the number of employed CRCs and the number of sponsored studies (P = 0.01), but not with the total number of studies, geographical location, or institution type.

Conclusions:

The association between industry funding and the number of CRCs observed in this study should be further explored to understand the direction of this relationship and to verify whether this may influence compliance with quality standards.

Information

Type
Research Article
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
Copyright
© The Author(s), 2021. Published by Cambridge University Press on behalf of The Association for Clinical and Translational Science
Figure 0

Table 1. Center characteristics, responders vs nonresponders

Figure 1

Fig. 1. Box plot displaying the distribution of the number of data managers/clinical research coordinators employed in 2019. The box depicts the interquartile range (first to third quartiles) and the median (second quartile, line in bold). Outliers are represented by dots.

Figure 2

Table 2. Summary of responses to survey questions

Figure 3

Fig. 2. Polar plot representing the frequency with which each of the 13 activities at the centers is performed by the data managers (DM; blue line) or the clinical research coordinators (CRC; yellow line). The furthest lines are from the center, the most frequently activities are performed by the data managers or clinical research coordinator.

Figure 4

Fig. 3. Plots representing the interaction between for-profit and overall studies on the number of clinical research coordinators (CRCs). Each plot depicts the relationship (regression line, and blue area as confidence intervals) between the number of total studies (X axis) and the number of CRCs (Y axis). The five plots are distinguished by the incremental number of for profit studies.

Figure 5

Table 3. Multivariable linear regression analysis for factors associated with clinical research coordinator (CRC) number at clinical centers