Evidence map›Paper›PMID 30332307›Full record

ArticleAIDS education and prevention : official publication of the International Society for AIDS Education2018

Paradata Analysis of an eHealth HIV Testing Intervention for Young Men Who Have Sex With Men.

Stephen Bonett, Daniel Connochie, Jesse M Golinkoff, Keith J Horvath, José A Bauermeister

Abstract read
In one paragraph

Article in AIDS education and prevention : official publication of the International Society for AIDS Education, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
1.3field-weighted citation impact, top 20% 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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 21 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Trial
  4. Trial
  5. Measuring Acceptability and Engagement of The Keep It Up! Internet-Based HIV Prevention Randomized Controlled Trial for Young Men Who Have Sex With Men.AIDS education and prevention : official publication of the International Society for AIDS Education · 2019
    Trial
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
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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

5 authors at 2 institutions in 1 country.

Stephen BonettUniversity of Pennsylvania School of Nursing, Philadelphia, Pennsylvania.
Daniel ConnochieUniversity of Pennsylvania School of Nursing, Philadelphia, Pennsylvania.
Jesse M GolinkoffUniversity of Pennsylvania School of Nursing, Philadelphia, Pennsylvania.
Keith J HorvathUniversity of Minnesota School of Public Health, Minneapolis, Minnesota.
José A BauermeisterUniversity of Pennsylvania School of Nursing, Philadelphia, Pennsylvania.
University of Pennsylvania · USUniversity of Minnesota · US

Funding

The UNC/Emory Center for Innovative Technology (iTech) across the prevention and care continuumU19HD089881 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI HIGHTOW-WEIDMAN, LISA B, SULLIVAN, PATRICK SEAN · 2016 to 2022
$35.8M
Health Mpowerment.org: a novel Internet and mobile phone HIV intervention for youR01MH093275 · NIMH · UNIV OF NORTH CAROLINA CHAPEL HILL · PI HIGHTOW-WEIDMAN, LISA B · 2011 to 2015
$2.3M
Addressing stigma among Black MSM in a mobile phone and internet HIV interventionR21MH105292 · NIMH · UNIV OF NORTH CAROLINA CHAPEL HILL · PI BAUERMEISTER, JOSE ARTURO, MUESSIG, KATHRYN E · 2015 to 2016
$443k
NICHD NIH HHS U19 HD089881NIMH NIH HHS R01 MH093275NIMH NIH HHS R21 MH105292
6 · The paper itself

Abstract

Little is known about users' intervention engagement and use patterns within eHealth interventions. We describe these patterns among young men who have sex with men (YMSM) who participated in a brief eHealth intervention designed to increase HIV testing. We merged pilot trial participants' survey data (N = 86) with their paradata (e.g., system data recorded during interaction with the intervention). We created engagement (time spent on components) and use (interaction with features) metrics, and explored whether they differed by participant characteristics. Racial/ethnic minorities clicked on fewer features (mean = 8.30) than non-Hispanic White men (mean = 12.00). Use was associated with older age (r = .19), greater educational attainment (r = .25), and a greater number of methods to connect online (r = .38). Paradata can help researchers understand how users interact with eHealth interventions, and inform which components to retain or redesign. Efforts to systematically collect, analyze, and report paradata in eHealth HIV prevention and care interventions are warranted.

Indexed as

TelemedicineAdolescentEthnicityHIV InfectionsHomosexuality, MaleHumansMaleMass ScreeningMinority GroupsProgram DevelopmentSexual and Gender MinoritiesSurveys and QuestionnairesYoung AdultengagementHIV/AIDSpreventiontechnology

Identifiers

PMID30332307
PMCPMC6449689
OpenAlexW2897027864

What OpenQuestion holds

Textmetadata
LicenceTDM
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.