Evidence map›Paper›PMID 41894593›Full record

Observational studyJMIR public health and surveillance2026

The Impact on Audience Engagement of Coordinating a Public Health Campaign on Antimicrobial Resistance Through a Network of Health Content Creators: Longitudinal Observational Study.

Fangyue Chen, Jack Cooper, Amish Acharya, Simon Dryden, Ara Darzi, Kate Grailey

Abstract readObservational Study
In one paragraph

Observational study in JMIR public health and surveillance, 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

6 authors.

Fangyue ChenFleming Initiative, Institute of Global Health Innovation, Imperial College London, QEQM Building, St Mary's Hospital, South Wharf Road, London, W2 1PE, United Kingdom, 44 7510888677.ORCID 0000-0002-5440-3206
Jack CooperFleming Initiative, Institute of Global Health Innovation, Imperial College London, QEQM Building, St Mary's Hospital, South Wharf Road, London, W2 1PE, United Kingdom, 44 7510888677.ORCID 0000-0003-0555-729X
Amish AcharyaFleming Initiative, Institute of Global Health Innovation, Imperial College London, QEQM Building, St Mary's Hospital, South Wharf Road, London, W2 1PE, United Kingdom, 44 7510888677.ORCID 0000-0003-2908-5944
Simon DrydenFleming Initiative, Institute of Global Health Innovation, Imperial College London, QEQM Building, St Mary's Hospital, South Wharf Road, London, W2 1PE, United Kingdom, 44 7510888677.ORCID 0000-0001-6713-0334
Ara DarziFleming Initiative, Institute of Global Health Innovation, Imperial College London, QEQM Building, St Mary's Hospital, South Wharf Road, London, W2 1PE, United Kingdom, 44 7510888677.ORCID 0000-0001-7815-7989
Kate GraileyFleming Initiative, Institute of Global Health Innovation, Imperial College London, QEQM Building, St Mary's Hospital, South Wharf Road, London, W2 1PE, United Kingdom, 44 7510888677.ORCID 0000-0002-4104-8444

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Antimicrobial resistance (AMR) is a significant global health threat. Several public health campaigns aimed to raise AMR awareness and inspire related behavioral changes have been delivered in a time-specific, coordinated manner, while others have placed less emphasis on campaign timing. Social media platforms can be leveraged as key vehicles for delivering public health campaigns, particularly by collaborating with health content creators who serve as influential messengers. Increasingly, organizations such as the World Health Organization and TikTok have created health content creator networks; however, the impact of such networks in public health campaigns, especially when delivered in a coordinated, time-specific manner, remains uncertain. Objective: This study aimed to investigate whether mobilizing an established health content creator network to create social media content on the topic of AMR, released in a coordinated, time-specific manner, can have an impact on audience engagement. Methods: We conducted a longitudinal observational study evaluating the effect of a coordinated social media campaign ("Pulse") on YouTube, delivered by an established health content creator network during an international event on AMR. Members of the network prepared and coordinated the release of AMR-related videos. Engagement analytics were evaluated 6 months after release. The engagement with each campaign video was compared with that for a similar noncoordinated video and with the average engagement of the same creators. Results: Around the day of the Pulse campaign on September 26, 2024, 18 campaign videos were released across 14 YouTube channels. Compared with paired videos, Pulse videos were not associated with higher view counts (incidence rate ratio [IRR] 0.98, 95% CI 0.44-2.13; P=.95) or like counts (IRR 1.10, 95% CI 0.48-2.41; P=.81) but were associated with significantly higher comment counts (IRR 2.99, 95% CI 1.02-8.52; P=.03). When compared with the creators' 12-month channel averages, campaign videos had a significantly higher comment count (IRR 15.5, 95% CI 5.5-24.0; P<.001) but no difference in view counts (IRR -82.0, 95% CI -190.3 to 58.5; P=.26) or like counts (IRR -0.50, 95% CI -6.3 to 10.5; P=.93). Conclusions: Coordinating health content creators to release AMR-related videos on YouTube coinciding with an international AMR event increased audience interactivity but did not enhance reach. This study shows the need to better understand which AMR-specific content factors contribute toward greater traction and to assess audience needs among the wider public to discern how best to harness social media interventions as a tool to improve AMR-related outcomes.

Indexed as

Health PromotionPublic HealthSocial MediaDigital MediaHumansLongitudinal StudiesMedia Exposureantimicrobial resistanceaudience engagementhealth campaignhealth content creatorsocial media

Identifiers

PMID41894593
PMCPMC13027679

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.