Evidence map›Paper›PMID 42610601›Full record

ArticleJournal of medical Internet research2026

Social Media Influencer Marketing as a Clinical Trial Recruitment Modality: Tutorial Informed by One Study's Approach.

Timothy B Plante, Jingyi Cao, Tamunotonye Harry, Yuanyuan Feng, Azuka Amaka Ngige, Hailey N Miller, Kayla Ferro, Marian E B Budu, Stephen P Juraschek

Abstract read
In one paragraph

Article in Journal of medical Internet research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Timothy B PlanteDepartment of Medicine, Larner College of Medicine, University of Vermont, 360 S Park Dr, Suite 206B, Colchester, VT, 05401, United States, 1 802 656 3688, 1 802 656 8965.ORCID http://orcid.org/0000-0001-9992-9597
Jingyi CaoDepartment of Medicine, Beth Israel Deaconess Medical Center, Boston, MA, United States.ORCID http://orcid.org/0009-0002-8640-1173
Tamunotonye HarryDepartment of Computer Science, College of Engineering and Mathematical Sciences, University of Vermont, Burlington, VT, United States.ORCID http://orcid.org/0009-0004-8854-7955
Yuanyuan FengDepartment of Computer Science, College of Engineering and Mathematical Sciences, University of Vermont, Burlington, VT, United States.ORCID http://orcid.org/0000-0002-6751-196X
Azuka Amaka NgigeDivision of Cardiology, School of Medicine, Johns Hopkins University, Baltimore, MD, United States.ORCID http://orcid.org/0009-0000-6017-9426
Hailey N MillerSchool of Nursing, Johns Hopkins University, Baltimore, MD, United States.ORCID http://orcid.org/0000-0001-6045-6542
Kayla FerroDepartment of Medicine, Beth Israel Deaconess Medical Center, Boston, MA, United States.ORCID http://orcid.org/0009-0000-6661-8979
Marian E B BuduDepartment of Medicine, Beth Israel Deaconess Medical Center, Boston, MA, United States.ORCID http://orcid.org/0009-0001-6091-7430
Stephen P JuraschekDepartment of Medicine, Beth Israel Deaconess Medical Center, Boston, MA, United States.ORCID http://orcid.org/0000-0003-4168-2696

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Influencer marketing (paid promotion by individuals with large, engaged social media followings) has become a major commercial advertising strategy, projected to reach US $32 billion globally in 2025. Clinical trials increasingly recruit through digital channels such as social media advertisements and patient portal messages. However, to our knowledge, influencer marketing has not been described as a clinical trial recruitment modality, and no practical guidance exists for investigators who wish to use it. Objective: We provide a step-by-step tutorial describing how we developed and deployed a social media influencer recruitment video for the GoFreshSE (Groceries for Residents of Southeastern USA to Stop Hypertension) trial, a decentralized pilot randomized trial of home-delivered Dietary Approaches to Stop Hypertension-pattern groceries for adults with elevated blood pressure in Florida, Georgia, and Tennessee. We also provide a reusable preparation framework for other study teams. Methods: Using Cameo Business, an online marketplace where public figures record short promotional videos, we filtered candidates by audience location (Atlanta, Miami, and Nashville), follower count (≥100,000), and price (US <$3000) and then selected an influencer on the basis of audience demographics relevant to our recruitment priorities. We transcribed the influencer's sample videos to characterize his speaking style, drafted a study script, and used a large language model (GPT-4o) solely to adapt the script's tone; the adapted script was reviewed by the study team and approved by the institutional review board before use. After the influencer recorded the video, we corrected gaze and adjusted pace using openly available tools, added framing and captions, and deployed the advertisement on Facebook and Instagram through Meta's advertising platform. Results: A qualifying pool of 57 influencers met our follower and cost thresholds. The selected influencer delivered a high-quality video 4 days after booking. The total Cameo cost was US $660, including a 75-day license and service fee, and the elapsed time from script development to a live advertisement was less than 2 months. The final 47-second video was rendered to satisfy Meta and TikTok placement and aspect ratio requirements while retaining the platform-required watermark. We report each step (marketplace search, booking request, script adaptation, ethics review, video editing, and deployment) in sufficient detail to be reproduced. Conclusions: Social media influencer marketing through Cameo Business is a rapid, low-cost mechanism for producing clinical trial recruitment videos and is feasible within typical trial timelines and budgets. To our knowledge, this is the first tutorial to document the procedure end to end, and it surfaces practical, ethical, and authenticity considerations, including governance of generative artificial intelligence and the limits of permissible video editing, that investigators should weigh before adopting this modality. The comparative effectiveness of influencer-based recruitment will be evaluated separately.

Indexed as

Clinical Trials as TopicMarketingPatient SelectionSocial MediaAdvertisingHumansclinical trialsDietary Approaches to Stop Hypertensionhypertensioninfluencersmarketingrecruitmentsocial media

Identifiers

PMID42610601
PMCPMC13482797

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.