Clinical Research Networks for Neurological Emergencies: An Evidentiary Review

2009 ◽  
Vol 2 (1) ◽  
pp. 27-32
Author(s):  
Andrew Storer

Consensus groups believe that clinical research networks are a more effective method of conducting clinical research than stand-alone sites. For example, clinical research networks have increased patient recruitment, decreased financial overhead, and allowed for coordinated research efforts, resulting in decreased duplication within high-cost research infrastructure. To date, there is little evidence describing the benefits and effectiveness of clinical research networks.

2021 ◽  
Vol 26 (Supplement_1) ◽  
pp. e82-e84
Author(s):  
Frances Yeung ◽  
Saoirse Cameron ◽  
Sepideh Taheri

Abstract Primary Subject area Hospital Paediatrics Background Obtaining informed consent from patients to participate in clinical research has traditionally been a cumbersome process, often requiring lengthy documentation and the involvement of trained research staff. Moreover, this process can be a burden to the patient/family. As a result, progress in paediatric research and enabling continual improvement in care has been slow. In the last decade, research ethicists have proposed a new “integrated consent model” (ICM) for obtaining informed consent for pragmatic clinical trials that compare standard-of-care interventions, where there is clinical equipoise. In most cases of ICM, only a brief discussion with verbal consent is required, along with a handout on study purpose, risks, benefits, and procedures. This allows for a more condensed consent process, which maximizes clarity and minimizes information overload. ICM also allows the patient/family to maintain prospective autonomy and decision-making, as compared with deferred or waived consent. The ICM model allows staff in the circle of care to obtain consent, which minimizes the stress of meeting an additional person. To our knowledge, ICM has not yet been used in the paediatric population. Objectives The objective of this abstract is to report on the utility of ICM in a non-randomized clinical trial carried out in the inpatient setting of a tertiary children’s hospital. Design/Methods We compared two widely accepted standards of care for maintaining peripheral intravenous catheter patency in a cohort of children, namely continuous infusion (“to keep the vein open” or TKVO) versus saline lock (SL). The ICM process was reviewed and approved by REB. Nurses in the circle of care received a study package that included an REB approved “consent script” to be read to the patient/family, a single page information sheet, and instructions on documenting the obtained verbal consent in the patient’s chart (Graphic 1). Results With ICM, 79% of participants were recruited into the trial by a nurse. Patient recruitment was completed 4 months ahead of the predicted schedule (Figure 1). Nursing, research, and medical staff were satisfied with ICM and found it easy to administer. ICM occurred smoothly and quickly for patients/families, with no interference with their medical care and practically no disruption to their daily schedule. Conclusion ICM is a practical alternative to laborious traditional consent models, is associated with higher patient recruitment rates, and is less burdensome for the patient/family. Paediatricians should be aware of the utility of this novel consent model.


2007 ◽  
Vol 4 (1) ◽  
pp. 10-13 ◽  
Author(s):  
P Chester ◽  
ED Kennedy ◽  
S Hynd ◽  
DR Matthews

2019 ◽  
Author(s):  
Janelle Applequist ◽  
Cristina Burroughs ◽  
Artemio Ramirez ◽  
Peter A. Merkel ◽  
Marc E. Rothenberg ◽  
...  

Abstract Background: Participant recruitment for clinical research studies remains a significant challenge for researchers. Novel approaches to recruitment are necessary to ensure that populations are easier to reach. In the context of rare diseases, social media provides a unique opportunity for connecting with patient groups that have representatively lower diagnosis rates when compared with more common maladies. We describe the implementation of designing a patient-centered approach to message design for the purposes of recruiting patients for clinical research studies for rare disease populations. Methods: Using an iterative research approach, we analyzed our previous experience of using web-based direct-to-patient recruitment methods to compare these online strategies with traditional center of excellence recruitment strategies. After choosing six research studies for inclusion in the previous study, in-depth, online interviews ( n = 37) were conducted with patients represented in each disease category to develop and test recruitment message strategies for social media and a Web-based platform for patients to access study information and pre-screen. Finally, relationships were established with Patient Advocacy Groups representing each rare disease category to ensure further dissemination of recruitment materials via their own social media networks. Results: Guided by social marketing theory, we created and tested various recruitment message designs. Three key message concepts preferred by patients emerged: (1) infographic; (2) positive emotional messages; and (3) educational information for sharing. A base study website that was created and edited based on qualitative user-testing. This website includes the option for potential participants to pre-screen and determine their eligibility for the study. Conclusions: Study participants report wanting to be involved in the design and implementation of recruitment approaches for clinical research studies. The application of the aforementioned methods could aide in the evolution of clinical research practices for the recruitment of both rare and common diseases, where patient-centric approaches can help to create targeted messages designs that participants pre-test and support.


2017 ◽  
Vol 39 (10) ◽  
pp. 1939-1948 ◽  
Author(s):  
Mark A. Turner ◽  
Sabah Attar ◽  
Saskia N. de Wildt ◽  
Gilles Vassal ◽  
Laura Mangiarini ◽  
...  

2017 ◽  
Vol 66 ◽  
pp. 42-51 ◽  
Author(s):  
Jiawei Yuan ◽  
Bradley Malin ◽  
François Modave ◽  
Yi Guo ◽  
William R. Hogan ◽  
...  

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