Evidence map›Paper›PMID 42627202›Full record

ArticleHealth education research2026

Feasibility and cost of partnering with social media influencers to promote colorectal cancer screening.

Heather Orom, Natasha C Allard, Tiffany Nguyen

Abstract read
In one paragraph

Article in Health education 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

3 authors.

Heather OromDepartment of Community Health and Health Behavior, 304 Kimball Tower, 3435 Main St., University at Buffalo, Buffalo, NY 14214, United States.ORCID 0000-0002-0147-8378
Natasha C AllardDepartment of Community Health and Health Behavior, 304 Kimball Tower, 3435 Main St., University at Buffalo, Buffalo, NY 14214, United States.
Tiffany NguyenGeorgetown University, 3700 O St., N.W., Washington, DC 20057, United States.ORCID 0000-0002-1705-2961

Funding

School of Public Health and Health Professions, University at Buffalo
6 · The paper itself

Abstract

There is considerable interest in collaborating with social media influencers to promote health messages, but little evidence demonstrating how this might be done in organizations with few resources or experience. We tested the feasibility and cost of partnering with social media nano- and micro-influencers to promote colorectal cancer (CRC) screening messages. We identified 16 US influencers through an online influencer marketing campaign platform. To test if influencers would create theory-consistent content, we provided them with recommended CRC screening information and guidelines for including one of four message strategies (threat, efficacy, threat and efficacy, information only). Influencers created and posted one video promoting CRC screening on their Instagram Reels and Stories, June-July, 2025. Engagement metrics were collected 1 month after posting. The videos were viewed 89 764 times (M = 5610, SD = 5545), and cost $0.13 per view. They did not elicit resistance; comments were 96% positive, 4% neutral, 0% negative, and engagement rates were high (mean = 7.9%). Influencers were largely able to follow written guidance for including theory-based content in their posts. In light of the rise in social media use, including among middle-aged and older adults, partnerships between public health organizations and social media influencers could expand health message reach.

Indexed as

Colorectal NeoplasmsEarly Detection of CancerHealth PromotionSocial MediaDigital MediaFeasibility StudiesFemaleHumansMaleMiddle Aged

Identifiers

PMID42627202
PMCPMC13494905

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.