Evidence map›Paper›PMID 37665621›Full record

ArticleJMIR public health and surveillance2023

Health Information on Pre-Exposure Prophylaxis From Search Engines and Twitter: Readability Analysis.

Albert Park, Fatima Sayed, Patrick Robinson, Latesha Elopre, Yaorong Ge, Shaoyu Li, Christian Grov, Patrick Sean Sullivan

Open access · goldAbstract read
In one paragraph

Article in JMIR public health and surveillance, 2023. 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
0.2field-weighted citation impact, top 50% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  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

8 authors at 4 institutions in 1 country.

Albert ParkDepartment of Software and Information Systems, University of North Carolina Charlotte, Charlotte, NC, United States.ORCID 0000-0002-2419-0131
Fatima SayedDepartment of Software and Information Systems, University of North Carolina Charlotte, Charlotte, NC, United States.ORCID 0000-0002-3932-7727
Patrick RobinsonDepartment of Public Health Sciences, University of North Carolina Charlotte, Charlotte, NC, United States.ORCID 0000-0001-9237-9414
Latesha ElopreDivision of Infectious Disease, University of Alabama at Birmingham, Birmingham, AL, United States.ORCID 0000-0002-3332-2300
Yaorong GeDepartment of Software and Information Systems, University of North Carolina Charlotte, Charlotte, NC, United States.ORCID 0000-0002-9576-0293
Shaoyu LiDepartment of Mathematics and Statistics, University of North Carolina Charlotte, Charlotte, NC, United States.ORCID 0000-0003-1687-619X
Christian GrovDepartment of Community Health and Social Sciences, City University of New York, New York City, NY, United States.ORCID 0000-0001-6871-3531
Patrick Sean SullivanDepartment of Epidemiology, Emory University, Atlanta, GA, United States.ORCID 0000-0002-7728-0587
University of North Carolina at Charlotte · USCity University of New York · USEmory University · USUniversity of Alabama at Birmingham · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPre-exposure prophylaxis (PrEP) is proven to prevent HIV infection. However, PrEP uptake to date has been limited and inequitable. Analyzing the readability of existing PrEP-related information is important to understand the potential impact of available PrEP information on PrEP uptake and identify opportunities to improve PrEP-related education and communication.

objectiveWe examined the readability of web-based PrEP information identified using search engines and on Twitter. We investigated the readability of web-based PrEP documents, stratified by how the PrEP document was obtained on the web, information source, document format and communication method, PrEP modality, and intended audience.

methodsWeb-based PrEP information in English was systematically identified using search engines and the Twitter API. We manually verified and categorized results and described the method used to obtain information, information source, document format and communication method, PrEP modality, and intended audience. Documents were converted to plain text for the analysis and readability of the collected documents was assessed using 4 readability indices. We conducted pairwise comparisons of readability based on how the PrEP document was obtained on the web, information source, document format, communication method, PrEP modality, and intended audience, then adjusted for multiple comparisons.

resultsA total of 463 documents were identified. Overall, the readability of web-based PrEP information was at a higher level (10.2-grade reading level) than what is recommended for health information provided to the general public (ninth-grade reading level, as suggested by the Department of Health and Human Services). Brochures (n=33, 7% of all identified resources) were the only type of PrEP materials that achieved the target of ninth-grade reading level.

conclusionsWeb-based PrEP information is often written at a complex level for potential and current PrEP users to understand. This may hinder PrEP uptake for some people who would benefit from it. The readability of PrEP-related information found on the web should be improved to align more closely with health communication guidelines for reading level to improve access to this important health information, facilitate informed decisions by those with a need for PrEP, and realize national prevention goals for PrEP uptake and reducing new HIV infections in the United States.

Indexed as

Health CommunicationHIV InfectionsPre-Exposure ProphylaxisSocial MediaComprehensionHumansSearch Engineelectronic health educationhealth education materialshealth informationhealth literacyHIVinfectionpre-exposure prophylaxisPrEPprophylaxisreadabilityTwitter

Identifiers

PMID37665621
PMCPMC10507523
OpenAlexW4382135495

What OpenQuestion 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 OpenQuestion graph.