Evidence mapPaperPMID 40911352Full record

ArticleJournal of medical Internet research2025

Leveraging Influencers to Reach and Engage Vulnerable Individuals With a Digital Health Intervention: Quasi-Experimental Field Study.

Marcia Nißen, Samira Harperink, Priyam Joshi, Anja Yvonne Bischof, Theresa Schachner, Yanick Xavier Lukic, Fabian Schneider, Prabhakaran Santhanam, Florian V Wangenheim, Joseph Ollier and 1 more

Abstract read
In one paragraph

Article in Journal of medical Internet research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

11 authors.

Marcia NißenDigital Health Interventions, School of Medicine, University of St. Gallen, St.Gallen, Switzerland.ORCID https://orcid.org/0000-0002-6082-8825
Samira HarperinkDigital Health Interventions, School of Medicine, University of St. Gallen, St.Gallen, Switzerland.ORCID https://orcid.org/0000-0003-0583-8948
Priyam JoshiCentre for Digital Health Interventions, University of Zurich, ETH Zurich, University of St.Gallen, Zurich, Switzerland.ORCID https://orcid.org/0009-0004-0621-3936
Anja Yvonne BischofDigital Health Interventions, School of Medicine, University of St. Gallen, St.Gallen, Switzerland.ORCID https://orcid.org/0000-0002-9318-5408
Theresa SchachnerCentre for Digital Health Interventions, University of Zurich, ETH Zurich, University of St.Gallen, Zurich, Switzerland.ORCID https://orcid.org/0000-0002-5505-8811
Yanick Xavier LukicDigital Health Interventions, School of Medicine, University of St. Gallen, St.Gallen, Switzerland.ORCID https://orcid.org/0000-0002-2576-6569
Fabian SchneiderCentre for Digital Health Interventions, University of Zurich, ETH Zurich, University of St.Gallen, Zurich, Switzerland.ORCID https://orcid.org/0000-0003-2434-7087
Prabhakaran SanthanamCentre for Digital Health Interventions, University of Zurich, ETH Zurich, University of St.Gallen, Zurich, Switzerland.ORCID https://orcid.org/0000-0002-9506-4888
Florian V WangenheimCentre for Digital Health Interventions, University of Zurich, ETH Zurich, University of St.Gallen, Zurich, Switzerland.ORCID https://orcid.org/0000-0003-3964-2353
Joseph OllierCentre for Digital Health Interventions, University of Zurich, ETH Zurich, University of St.Gallen, Zurich, Switzerland.ORCID https://orcid.org/0000-0001-8603-0793
Tobias KowatschDigital Health Interventions, School of Medicine, University of St. Gallen, St.Gallen, Switzerland.ORCID https://orcid.org/0000-0001-5939-4145

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNoncommunicable diseases are the leading cause of death, present economic challenges to health care systems worldwide, and disproportionally affect vulnerable individuals with low socioeconomic status (SES). While digital health interventions (DHIs) offer scalable and cost-effective solutions to promote health literacy and encourage behavior change, key challenges concern how to effectively reach and engage vulnerable individuals. To this end, social media influencers provide a unique opportunity to reach millions, and lasting engagement can be ensured through the design of DHIs in a manner that specifically appeals to low-SES individuals through alignment with their social background.

objectiveThe objectives of this study were 2-fold: to assess the effectiveness of leveraging influencers to reach vulnerable individuals (as measured via app downloads per stream viewers) and evaluate how the design of a DHI can improve engagement among this group (as measured via completion of the intervention).

methodsThis study used a cross-sectional, quasi-experimental field design to assess both (1) the effectiveness of influencers in reaching vulnerable individuals and (2) the impact of specific design elements-such as gamification and storytelling-on user engagement using a stress management DHI featuring a slow-paced breathing exercise. In total, 3 differently designed versions of this DHI were developed following a fractional factorial design (StressLess, Breeze, and TragicKingdom). Reach was calculated as the number of downloads per viewers per stream and influencer. Engagement with the DHI was measured via number of conversational turns and milestone and intervention completion rates. Participants' SES and technology acceptance were evaluated through a postintervention survey. Descriptive statistics, chi-square tests, and ANOVAs were used to examine the effects of the DHI design on reach and engagement metrics.

resultsThe recruitment via 8 influencers (total streams=25; total viewers=12,667) generated 220 downloads. The average reach ratio across streams amounted to 16.2% (SD 15.5%), with significant differences between conditions (ꭓ

conclusionsThis work provides the first evidence that recruitment via influencers yields high reach ratios, moving far beyond the reach of traditional social media platforms. Nonetheless, based on the data collected, the ability to leverage such platforms to recruit vulnerable individuals remains unclear. In addition, while engagement with the promoted interventions was initially high, the completion rate of the full breathing exercise was comparably low, indicating that the influencer promotion strategy cannot fully overcome the well-documented adherence barriers in digital health.

Indexed as

Health PromotionSocial MediaVulnerable PopulationsAdultCross-Sectional StudiesDigital HealthFemaleHealth LiteracyHumansMaleMiddle AgedMobile Applicationsdigital health interventionsengagementgamificationinfluencerlow socioeconomic statusnoncommunicable diseasespreventionreachsocial milieuxstorytellingthematic framingvulnerable individuals

Identifiers

PMID40911352
PMCPMC12449675

What Socratic 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 Socratic graph.