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Science media—the best way to reach the target audience for a pre-clinical AD study

Published online by Cambridge University Press:  21 May 2019

Maree Mastwyk*
Affiliation:
Monash Aged Psychiatry Research Centre, Caulfield Hospital, Caulfield, VIC, Australia
Alex M. Barac
Affiliation:
Florey Institute of Neuroscience and Mental Health, Parkville, VIC, Australia
Morgan Radler
Affiliation:
Cognitive Dementia and Memory Service, Wantirna, VIC, Australia
Rebecca Sgambellone
Affiliation:
Formerly of the Florey Institute of Neuroscience and Mental Health, Parkville, VIC, Australia
Vasantha Pather Lowen
Affiliation:
Formerly of the Florey Institute of Neuroscience and Mental Health, Parkville, VIC, Australia
Natasha Mitchell
Affiliation:
Florey Institute of Neuroscience and Mental Health, Parkville, VIC, Australia
George Zisis
Affiliation:
Florey Institute of Neuroscience and Mental Health, Parkville, VIC, Australia
Christopher Cleon Rowe
Affiliation:
Molecular Imaging Research, Austin Health, Heidelberg, VIC, Australia University of Melbourne, Parkville, VIC, Australia
Colin Louis Masters
Affiliation:
Florey Institute of Neuroscience and Mental Health, Parkville, VIC, Australia
*
Correspondence should be addressed to: Maree Mastwyk, Monash Aged Psychiatry Research Centre, Caulfield Hospital, 260 Kooyong Rd., Caulfield, VIC 3162, Australia. Email: [email protected]
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Abstract

Type
Letter to the Editor
Copyright
© International Psychogeriatric Association 2019 

All researchers understand the frustrations of clinical trial recruitment. Pre-generated databases are currently fashionable as a tool, especially for pre-clinical Alzheimer’s disease (AD) studies, but little is known of their effectiveness (Grill et al., Reference Grill2018). When recruiting for the Australian cohort of the Anti-Amyloid Treatment in Asymptomatic Alzheimer’s disease study (The A4 Study), we found that a pre-generated database was indeed useful. Also, that continued building of the database was assisted through promotion via science media.

We aimed to recruit 100 eligible participants and began by combing the pre-generated Florey BrainPET database—the result of previous, self-enrollment media drives. We sent invitations to people whose demographics and medical/treatment responses met study criteria (N = 215).

We found that this database, dedicated to capturing people interested in brain research, was valuable for recruitment. Only 10% of BrainPET registrants underwent Visit 1 screening, yet formed 25% (N = 25) of our final cohort. Although not a pre-characterized sample (recommended by Boada et al., Reference Boada2018), the database contained enough information to identify people at risk (Pillai and Cummings, Reference Pillai and Cummings2013) and exclude others. It is unusual for one site to contribute such a large portion of the overall cohort in a multicenter trial. Had we been looking for a smaller group, the database alone would probably have been sufficient.

As we exhausted this database, we presented AD, PET imaging, and/or the A4 study on various television and radio news and current affairs programs (N = 9). People were directed to a study specific database or telephone number. A call center was employed to deal with an expected high volume of responders.

We found science media the most rewarding. The Catalyst science program was the best recruiter with 43% of eligible responders undergoing screening. The brief paragraphs in the University of Melbourne newsletters and a flyer placed in Dementia Australia’s quarterly magazine provided small numbers, but cumulatively, 42% underwent screening. Word-of-mouth meetings of like-minded people also yielded 42% (N = 64). Reaching the target audience for clinical trial recruitment is always the challenge. It would seem that the BrainPET advertising, Catalyst science program, university newsletters, and word of mouth were the means by which to reach individuals interested in AD research, cognizant of the underlying issues.

Other strategies generated a significant initial response that did not translate to actual screening visits to such a degree. Following initial interest, finding out about study commitment saw many withdraw interest. Results are listed in Table 1.

The call center was not beneficial. A random sample of responders was telephoned with mixed results, and all had to be recontacted to ensure that those eligible were included.

Self-enrollment via the internet was efficient, as it reduced costs and time needed for data entry. It also enabled bulk BCC emails to be sent to ineligible participants and efficient growth of the database for future studies through affirmative replies.

In summary, recruitment to secondary prevention studies is indeed assisted by using a targeted database. Self-enrollment via the internet reduces costs, and rebuilding the database is best assisted by advertising through science-focused media.

Table 1. Participant recruitment by publicity source

* Site-initiated promotion

Conflict of interest

None.

Description of authors’ roles

M. Mastwyk designed the study, supervised data collection and analysis, and wrote the paper.

A. Barac collected the data, completed analysis, and reviewed the paper.

Morgan Radler collected the data and reviewed the paper.

Rebecca Sgambellone collected the data and reviewed the paper.

Vasantha Pather Lowen collected the data and reviewed the paper.

Natasha Mitchell collected the data and reviewed the paper.

George Zisis collected the data and reviewed the paper.

Christopher Cleon Rowe generated the pre-existing database and reviewed the paper.

Colin Louis Masters supervised the study and reviewed the paper.

Acknowledgments

The authors would like to thank Reisa Sperling of Harvard Medical School, Boston, MA, USA; the A4 study team at the Alzheimer’s Therapeutic Research Institute, University of Southern California, San Diego, CA, USA; and Eli Lilly and Company, Indianapolis, IN, USA.

References

Boada, M. et al. (2018). Patient engagement: the fundacío ACE framework for improving recruitment and retention in Alzheimer’s disease research. Journal of Alzheimer’s Disease, 62, 10791090. doi: 10.3233/JAD-170866.CrossRefGoogle ScholarPubMed
Grill, J. D. et al. (2018). Constructing a local potential participant registry to improve Alzheimer’s disease clinical research recruitment. Journal of Alzheimer’s Disease, 63, 10551063. doi: 10.3233/JAD-180069.CrossRefGoogle ScholarPubMed
Pillai, J. A. and Cummings, J. L. (2013). Clinical trials in predementia stages of Alzheimer’s disease. Medical Clinics of North America, 97, 439457. doi: 10.1016/j.mcna.2013.01.002.CrossRefGoogle Scholar
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Table 1. Participant recruitment by publicity source