Evidence map›Paper›PMID 38071540›Full record

ArticleSexually transmitted infections2024

Using crowdsourcing at an academic conference to develop STI testing messaging for public dissemination.

Alissa Davis, Eneyi Kpokiri, Chunyan Li, Suzanne Day, Xumeng Yan, Gifty Marley, Sara E Landers, Joseph D Tucker

Abstract read
In one paragraph

Article in Sexually transmitted infections, 2024. 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

8 authors.

Alissa DavisSchool of Social Work, Columbia University, New York, New York, USA ad3324@columbia.edu.ORCID 0000-0003-2084-9741
Eneyi KpokiriClinical Research Department, Faculty of Infectious and Tropical Diseases, London School of Hygiene & Tropical Medicine, London, UK.
Chunyan LiTokyo College, The University of Tokyo, Bunkyo-ku, Tokyo, Japan.
Suzanne DayDivision of Infectious Diseases, Department of Medicine, The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
Xumeng YanDepartment of Community Health Sciences, University of California Los Angeles, Los Angeles, California, USA.
Gifty MarleyUNC-Project China, The University of North Carolina at Chapel Hill, Guangzhou, Guangdong, China.
Sara E LandersSchool of Social Work, Columbia University, New York, New York, USA.
Joseph D TuckerClinical Research Department, Faculty of Infectious and Tropical Diseases, London School of Hygiene & Tropical Medicine, London, UK.ORCID 0000-0003-2804-1181

Funding

Mentoring Multidisciplinary Global HIV Patient-Oriented ResearchK24AI143471 · NIAID · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Joseph David Tucker · 2019 to 2026
$1.4M
A couple-based antiretroviral therapy adherence intervention for people who inject drugs in KazakhstanK01DA044853 · NIDA · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI DAVIS, ALISSA · 2018 to 2022
$903k
Enhancing Partner Services among Men Who Have Sex with Men Living With HIV: A Pilot Randomized Controlled TrialR34MH119963 · NIMH · UNIV OF NORTH CAROLINA CHAPEL HILL · PI TANG, WEIMING, TUCKER, JOSEPH DAVID · 2019 to 2021
$568k
Reducing HIV Stigma to Increase HIV Testing among Adolescents and Young Adults in Kazakhstan Using a Crowdsourcing ApproachR21TW012017 · FIC · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI DAVIS, ALISSA, MERGENOVA, GAUKHAR · 2021 to 2022
$478k
FIC NIH HHS R21 TW012017NIAID NIH HHS K24 AI143471NIDA NIH HHS K01 DA044853NIDA NIH HHS L30 DA049137NIMH NIH HHS R34 MH119963
6 · The paper itself

Abstract

objectivesWe provide a guide to conducting a crowdsourcing activity at an international sexually transmitted infection (STI) conference to design public messaging about STI testing and disseminating that messaging via social media.

methodsA speaker gave a presentation at a conference plenary session on the concepts of cocreation, crowdsourcing and designathons, and the application of these participatory approaches in public health research. To illustrate one of these approaches (crowdsourcing), attendees in the audience were asked to take part in a voluntary participatory activity, in which they would pair up with a fellow attendee sitting nearby and write down an idea on a blank notecard. Dyads were given 10 min to create an entry responding to the prompt, 'Write something that inspires gonorrhoea and/or chlamydia testing (eg, picture, jingle, rhyme)'. Each entry was judged by at least four independent judges on a scale of 0 (lowest quality) to 10 (highest quality) based on their innovation and potential to promote chlamydia/gonorrhoea testing. Scores were averaged to determine the finalist entries.

resultsWe received 32 entries. The average score was 6.41 and scores ranged from 4.5 to 8 (median 6.63, IQR 5.75, 7.06). Half of entries (n=16) were slogans, 15.6% (n=5) were poems/rhymes, 12.5% (n=4) were memes/images, 9.4% (n=3) were programme implementation ideas, 3.1% (n=1) was a song verse, and 3.1% (n=1) was a video idea. One finalist entry was a meme and received 720 impressions, 120 engagements, 27 detail expands, 19 likes, 6 reposts and 1 response on Twitter. The second finalist entry was a slogan and received 242 impressions, 16 engagements, 6 detail expands, 4 likes and 2 reposts.

conclusionsConducting crowdsourcing activities at future conferences may be an innovative, feasible way to develop and disseminate engaging and important STI and other health messaging to the public in a short period of time.

Indexed as

ChlamydiaCrowdsourcingGonorrheaSexually Transmitted DiseasesHumansPublic HealthChlamydia InfectionsCommunicationgonorrhoea

Identifiers

PMID38071540
PMCPMC10935589

What OpenQuestion holds

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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.