Evidence map›Paper›PMID 38025100›Full record

ArticleDigital health

Using web analytics data to identify platforms and content that best engage high-priority HIV populations in online and social media marketing advertisements.

Tyler B Wray, Philip A Chan, Jeffrey D Klausner, Lori M Ward, Abraham Y Liu, Daniel J Carr, Erik Ms Ocean, Chanda Phelan, Tao Liu

Open access · goldAbstract read
In one paragraph

Article in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.6field-weighted citation impact, top 28% of its field
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

4 citing papers in PubMed, 2 citations in OpenAlex.

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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 at 4 institutions in 2 countries.

Tyler B WrayDepartment of Behavioral and Social Sciences, Brown University School of Public Health, Providence, RI, USA.ORCID https://orcid.org/0000-0003-4545-9141
Philip A ChanDepartment of Medicine, Warren Alpert Medical School of Brown University, Providence, RI, USA.
Jeffrey D KlausnerDepartment of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
Lori M WardDepartment of Population Health Science, John D. Bower School of Population Health, University of Mississippi Medical Center, Jackson, MS, USA.
Abraham Y LiuDepartment of Biostatistics, Center for Statistical Sciences, School of Public Health, Brown University, Providence, RI, USA.
Daniel J CarrSchool of Psychology, Cardiff University, Cardiff, UK.
Erik Ms OceanDepartment of Behavioral and Social Sciences, Brown University School of Public Health, Providence, RI, USA.
Chanda PhelanCenter for Alcohol and Addictions Studies, Brown University School of Public Health, Providence, RI, USA.
Tao LiuDepartment of Biostatistics, Center for Statistical Sciences, School of Public Health, Brown University, Providence, RI, USA.
Brown University · USCardiff University · GBUniversity of Mississippi Medical Center · USUniversity of Southern California · US

Funding

Translational ScienceP30AI042853 · NIAID · MIRIAM HOSPITAL · PI LARRY K BROWN · 1998 to 2026
$51.7M
Virology CoreP01AA019072 · NIAAA · BROWN UNIVERSITY · PI BECKER, SARA · 2010 to 2024
$19.7M
Mobile health platform for providing real-time follow-up after home-based HIV self-testing for high-risk men who have sex with menR01MH114891 · NIMH · BROWN UNIVERSITY · PI CHAN, PHILIP ANDREW, WRAY, TYLER BLAKE · 2018 to 2022
$3.5M
NIAAA NIH HHS P01 AA019072NIAID NIH HHS P30 AI042853NIMH NIH HHS R01 MH114891
6 · The paper itself

Abstract

Background: Online advertisements on social media platforms are an important tool for engaging relevant populations in public health research. However, little is known about what platforms and ad characteristics are most effective in engaging high-priority HIV populations, including racial/ethnic and sexual minority individuals. Methods: Data from this study were drawn from advertising campaigns conducted on popular websites and social media platforms that recruited for several nationwide randomized controlled trials of various HIV prevention and testing strategies among sexual minority men (SMM) from December 2019 until March 2022. Descriptive statistics and LASSO regression models were used to determine which platforms and ad characteristics were associated with significantly higher odds of engagement. Results: Ads on Google search, Facebook, and Instagram yielded the most cost-effective engagement, while gay-oriented dating platforms and TrafficJunky yielded the highest percentage of users who appeared to meet basic eligibility criteria. The highest percentages of Black users were screened through ads on Jack'd, TrafficJunky, and Google search; for Hispanic/Latino users, Google search, Grindr, Facebook, and Instagram. Analyzing ad characteristics, we found ads that used suggestive content, animation, and included study or institution logos were associated with greater engagement. Ads that emphasized convenience of the research (e.g. mentioned participating "from home") and that depicted people of similar races/ethnicities were also associated with greater engagement among Black and Hispanic/Latino sexual minority men. Conclusions: We found that advertisements on mainstream social media sites are most cost effective. Although gay-oriented dating platforms were much more effective at reaching the target population, they were considerably more expensive. We also identified ad characteristics that were particularly effective in engaging users. These results could inform the design of online public health outreach campaigns for similar populations to improve their engagement and reach. Findings also demonstrated the value of conducting focused research on the effectiveness of various online marketing strategies.

Indexed as

analyticsgay and bisexual menHIVmarketingrecruitmentSocial media

Identifiers

PMID38025100
PMCPMC10668575
OpenAlexW4388982703

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.