Evidence map›Paper›PMID 40729670›Full record

ArticleJMIR cancer2025

Evaluating the Feasibility of Web-Monitoring Methodology for Measuring Exposure to Online Cancer Misinformation.

Cindy A Turner, Andy J King, Ida Tovar, Morgan M Millar, Rachel R Codden, Jia-Wen Guo, Skyler Johnson, Anne C Kirchhoff, Margaret Raber, Xiaoming Sheng and 2 more

Abstract read
In one paragraph

Article in JMIR cancer, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

12 authors.

Cindy A TurnerCancer Control and Population Sciences, Huntsman Cancer Institute, 2000 Cir of Hope Dr, Salt Lake City, UT, 84112, United States, 1 8015877000.ORCID 0000-0001-5250-3409
Andy J KingDepartment of Communication, University of Utah, Salt Lake City, UT, United States.ORCID 0000-0002-2789-2550
Ida TovarCollege of Nursing, University of Utah, Salt Lake City, UT, United States.ORCID 0009-0007-1304-9654
Morgan M MillarCancer Control and Population Sciences, Huntsman Cancer Institute, 2000 Cir of Hope Dr, Salt Lake City, UT, 84112, United States, 1 8015877000.ORCID 0000-0001-5532-6970
Rachel R CoddenDivision of Epidemiology, University of Utah, Salt Lake City, UT, United States.ORCID 0000-0003-2863-8826
Jia-Wen GuoCollege of Nursing, University of Utah, Salt Lake City, UT, United States.ORCID 0000-0002-4698-4696
Skyler JohnsonDepartment of Radiation Oncology, Huntsman Cancer Institute, Salt Lake City, UT, United States.ORCID 0000-0002-8881-7706
Anne C KirchhoffCancer Control and Population Sciences, Huntsman Cancer Institute, 2000 Cir of Hope Dr, Salt Lake City, UT, 84112, United States, 1 8015877000.ORCID 0000-0002-0747-9179
Margaret RaberMD Anderson Cancer Center, University of Texas, Houston, TX, United States.ORCID 0000-0003-2403-9607
Xiaoming ShengCollege of Nursing, University of Utah, Salt Lake City, UT, United States.ORCID 0000-0001-6576-3699
Deanna KepkaCancer Control and Population Sciences, Huntsman Cancer Institute, 2000 Cir of Hope Dr, Salt Lake City, UT, 84112, United States, 1 8015877000.ORCID 0000-0002-7844-3309
Echo L WarnerCancer Control and Population Sciences, Huntsman Cancer Institute, 2000 Cir of Hope Dr, Salt Lake City, UT, 84112, United States, 1 8015877000.ORCID 0000-0002-5998-9744

Funding

CTSA UM1 Program at University of UtahUM1TR004409 · NCATS · UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAH · PI RACHEL HESS, Jennifer Juhl Majersik · 2023 to 2026
$21.9M
From genomics to natural language processing: A protected environment for research computing in the health scienceS10OD021644 · OD · UNIVERSITY OF UTAH · PI CHEATHAM, THOMAS E. · 2017 to 2017
$494k
NCATS NIH HHS UM1 TR004409NIH HHS S10 OD021644
6 · The paper itself

Abstract

Unlabelled: Understanding the impact of online cancer misinformation exposure on health outcomes is an area of growing concern, but few methods exist to objectively measure this exposure. The primary aim of this paper is to describe the lessons learned in using web-monitoring software to measure exposure to online cancer misinformation among patients with cancer. These lessons learned emerged from our experience conducting a prospective pilot study from October 2022 to August 2023 wherein we adopted commercially available web-monitoring software to capture cancer-related web content. A total of 56 patients with cancer completed a baseline survey, and 17 of these participants installed web-monitoring software on their personal computer for 30 days and completed a follow-up survey. We use implementation outcomes to describe the feasibility of this methodological approach using lessons learned in 3 topic areas, namely data quality, software implementation, and participant acceptability. We found the web-monitoring data to be appropriate for our research aim to objectively measure cancer misinformation exposure, although compatibility issues with social media websites and mobile devices negatively impacted data quality. A complex installation process negatively impacted implementation and caused an unknown number of participants to drop out after the baseline survey. Among participants who completed the study, reported acceptability of web-monitoring software for research purposes was high, though potentially biased by selective retention. This pilot study testing web-monitoring software for research purposes among patients with cancer demonstrates high acceptability but low feasibility due to implementation barriers. We propose practical solutions to address these barriers and believe the lessons learned here offer a promising foundation for improving methods to objectively measure patient exposure to online cancer information. Future studies should focus on exploring perceptions of web-monitoring among nonparticipants, considering alternative approaches, and expanding web-monitoring to include mobile devices.

Indexed as

CommunicationInternetNeoplasmsSocial MediaAdultAgedFeasibility StudiesFemaleHumansMaleMiddle AgedPilot ProjectsProspective StudiesSoftwareSurveys and Questionnairesacceptabilitycancercancer misinformationcommunicationinformationmisinformationmobile deviceonline communicationonline platformpilot studysocial mediasocial supportsupportsurveysweb contentweb monitoring

Identifiers

PMID40729670
PMCPMC12306912

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.