scholarly journals Barriers and facilitators of clinical trial enrollment in a network of community‐based pediatric oncology clinics

2019 ◽  
Vol 67 (4) ◽  
Author(s):  
Carolyn Russo ◽  
Linda Stout ◽  
Toni House ◽  
Victor M. Santana
2018 ◽  
Vol 101 (7) ◽  
pp. 1157-1174 ◽  
Author(s):  
Eden G. Robertson ◽  
Claire E. Wakefield ◽  
Christina Signorelli ◽  
Richard J. Cohn ◽  
Andrea Patenaude ◽  
...  

2017 ◽  
Author(s):  
Eden G Robertson ◽  
Claire E Wakefield ◽  
Richard J Cohn ◽  
Tracey O'Brien ◽  
David S Ziegler ◽  
...  

PEDIATRICS ◽  
2014 ◽  
Vol 133 (Supplement) ◽  
pp. S123-S130 ◽  
Author(s):  
N. D. Buchanan ◽  
R. Block ◽  
A. W. Smith ◽  
E. Tai

2013 ◽  
Vol 60 (8) ◽  
pp. 1333-1337 ◽  
Author(s):  
Jeffrey D. Lebensburger ◽  
Robert F. Sidonio ◽  
Michael R. DeBaun ◽  
Monika M. Safford ◽  
Thomas H. Howard ◽  
...  

Cancer ◽  
2019 ◽  
Vol 126 (5) ◽  
pp. 949-957 ◽  
Author(s):  
Elizabeth J. Siembida ◽  
Holli A. Loomans‐Kropp ◽  
Neha Trivedi ◽  
Ann O’Mara ◽  
Lillian Sung ◽  
...  

2016 ◽  
Vol 34 (7_suppl) ◽  
pp. 112-112
Author(s):  
Judith Kostka ◽  
Jessica A. Zerillo ◽  
Andrea Kruse ◽  
Natalie Faye Sinclair ◽  
Maureen Patrick ◽  
...  

112 Background: Oncology patients at community cancer practices generally do not access clinical trials to the same degree as patients at academic medical centers. Collaborations between research and clinical teams across academic hospitals and their affiliated community sites may help to improve this disparity. Methods: To improve clinical trial enrollment, a multidisciplinary team of research and clinical staff from the Dana-Farber Cancer Institute main campus and a community-based satellite site implemented a program to enhance identification of breast cancer patients eligible for clinical trials. The team constructed a process map, cause and effect diagram and collected diagnostic data, which was displayed with a Pareto chart. Process control charts were used to track data over time. Interventions included: (1) a web-based tool to pre-screen patients for community and main campus trials, (2) a training session for clinicians on trial communication skills, (3) designated clinician visits for follow-up trial discussions, and (4) research nurse telephone calls after the initial consultation. Results: Before the program (7/14-10/14), research staff screened 83% of new breast cancer patients for clinical trials, which increased to 97% after the program (11/14-9/15) (p < 0.001). There was not a significant change in trials presented to eligible patients or enrollment in trials. Conclusions: The proportion of patients identified for clinical trials increased and there was numeric improvement in the proportion of eligible patients presented trials. There was an increase in clinical trial enrollment that did not reach statistical significance, possibly due to the low sample size. These results suggest that the interventions would benefit from further modification and use. The project demonstrates the challenges and opportunities inherent in growing successful clinical trial programs in community-based satellite sites. [Table: see text]


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