Creating a centralized social media recruitment service for research teams at the University of Michigan.

Facebook Recruitment recruitment platform registry social media

Journal

Journal of clinical and translational science
ISSN: 2059-8661
Titre abrégé: J Clin Transl Sci
Pays: England
ID NLM: 101689953

Informations de publication

Date de publication:
11 Sep 2020
Historique:
entrez: 5 5 2021
pubmed: 6 5 2021
medline: 6 5 2021
Statut: epublish

Résumé

Successful social media recruitment requires specific expertise and constant upkeep, placing an inordinate burden on study teams. Over half of the study teams at the University of Michigan (U-M) surveyed about recruitment assistance needs indicated that they wanted to use social media as a recruitment strategy, but lacked the expertise to do so. We thus built a service to centralize social media recruitment across the university. This involved assembling the right expertise, creating a centralized social media profile, creating linkages to other digital recruitment platforms, building the financial structure, and operationalizing the service. So far, we have helped 94 study teams launch social media campaigns on Facebook and Instagram. These campaigns resulted in 1,653,675 users being reached, of which 20,546 users actively showed interest in participating in the corresponding studies. We followed 18 studies further, who reported a total of 345 social media participants as being enrolled, resulting in an average cost-per-contact (CPC) of $8.72 and an average cost-per-enrollee (CPE) of $55.21. The combination of communication expertise, streamlined administrative processes, and linkages to a centralized research participation registry has allowed us to help a large number of study teams seamlessly engage broad and diverse populations.

Identifiants

pubmed: 33948269
doi: 10.1017/cts.2020.540
pii: S2059866120005403
pmc: PMC8057388
doi:

Types de publication

Journal Article

Langues

eng

Pagination

e47

Informations de copyright

© The Association for Clinical and Translational Science 2020.

Déclaration de conflit d'intérêts

This authors report no conflict of interest.

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Auteurs

Aalap Doshi (A)

Michigan Institute for Clinical and Health Research (MICHR), University of Michigan, Ann Arbor, MI, USA.

Lisa Connally (L)

Michigan Institute for Clinical and Health Research (MICHR), University of Michigan, Ann Arbor, MI, USA.

Anita Johnson (A)

Michigan Institute for Clinical and Health Research (MICHR), University of Michigan, Ann Arbor, MI, USA.

Abbey Skrzypek (A)

Michigan Institute for Clinical and Health Research (MICHR), University of Michigan, Ann Arbor, MI, USA.

Classifications MeSH