Evidence map›Paper›PMID 40256047›Full record

ArticleOpen forum infectious diseases2025

Impact of Result Displays in an Anogenital Symptom Checker App on Health-seeking Behaviours: A Cross-sectional, Vignette-based Study.

Nyi Nyi Soe, Phyu Mon Latt, David Lee, Janet M Towns, Alicia J King, Eric P F Chow, Jason J Ong, Lei Zhang, Christopher K Fairley

Abstract read
In one paragraph

Article in Open forum infectious diseases, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

9 authors.

Nyi Nyi SoeMelbourne Sexual Health Centre, Alfred Health, Melbourne, Victoria, Australia.ORCID https://orcid.org/0009-0001-4554-3549
Phyu Mon LattMelbourne Sexual Health Centre, Alfred Health, Melbourne, Victoria, Australia.ORCID https://orcid.org/0000-0001-5880-5731
David LeeMelbourne Sexual Health Centre, Alfred Health, Melbourne, Victoria, Australia.
Janet M TownsMelbourne Sexual Health Centre, Alfred Health, Melbourne, Victoria, Australia.
Alicia J KingMelbourne Sexual Health Centre, Alfred Health, Melbourne, Victoria, Australia.
Eric P F ChowMelbourne Sexual Health Centre, Alfred Health, Melbourne, Victoria, Australia.ORCID https://orcid.org/0000-0003-1766-0657
Jason J OngMelbourne Sexual Health Centre, Alfred Health, Melbourne, Victoria, Australia.
Lei ZhangMelbourne Sexual Health Centre, Alfred Health, Melbourne, Victoria, Australia.ORCID https://orcid.org/0000-0003-2343-084X
Christopher K FairleyMelbourne Sexual Health Centre, Alfred Health, Melbourne, Victoria, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The Melbourne Sexual Health Centre developed an artificial intelligence-powered app called AiSTI to help the public identify potential sexually transmitted infection (STI)-related anogenital lesions. This research sought to explore how individuals respond to the application's result displays and recommendations and how this might affect their health-seeking behavior. Methods: From April to July 2024, participants completed an anonymous online survey, responding to hypothetical scenarios related to STI and non-STI conditions before and after viewing the randomized AiSTI application's result displays. They were asked how soon they would seek healthcare and how concerned they would be about each scenario. We reported descriptive statistics and used logistic regression analyses to explore associations between result displays and health-seeking behaviors. Results: Our study included 512 participants (median age, 32 years; interquartile range: 25-40.5). Approximately 65% (n = 330) were assigned male at birth. For the STI scenario, intention to seek care within 24 hours increased from 75% to >90% after viewing probable STI diagnosis displays ( Conclusions: Our study found that digital health interventions with effective result displays could encourage urgent care-seeking for STI cases.

Indexed as

artificial intelligencedigital health interventionhealth-seeking behaviorrisk communicationsexually transmitted infections

Identifiers

PMID40256047
PMCPMC12007447

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.