Evidence map›Paper›PMID 42166800›Full record

ArticleJMIR formative research2026

MyLungHealth, a Patient-Facing Education Tool for Lung Cancer Screening: Qualitative User-Centered Design Study.

Christian Andrew Balbin, Leticia Stevens, Rachel Dalrymple, Victoria L Tiase, Kimberly A Kaphingst, Elizabeth R Stevens, Polina V Kukhareva, Tanner J Caverly, Guilherme Del Fiol, Devin Mann and 4 more

Abstract read
In one paragraph

Article in JMIR formative research, 2026. 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

14 authors.

Christian Andrew BalbinDepartment of Biomedical Informatics, University of Utah, 421 Wakara Way #140, Salt Lake City, UT, 84108, United States, 1 (801) 581-4080.ORCID 0000-0003-1213-6936
Leticia StevensDepartment of Biomedical Informatics, University of Utah, 421 Wakara Way #140, Salt Lake City, UT, 84108, United States, 1 (801) 581-4080.ORCID 0009-0000-9266-9729
Rachel DalrympleDepartment of Biomedical Informatics, University of Utah, 421 Wakara Way #140, Salt Lake City, UT, 84108, United States, 1 (801) 581-4080.ORCID 0009-0006-3550-389X
Victoria L TiaseDepartment of Biomedical Informatics, University of Utah, 421 Wakara Way #140, Salt Lake City, UT, 84108, United States, 1 (801) 581-4080.ORCID 0000-0001-5653-2282
Kimberly A KaphingstDepartment of Communication, University of Utah, Salt Lake City, UT, United States.ORCID 0000-0003-2668-9080
Elizabeth R StevensDepartment of Population Health, NYU Grossman School of Medicine, New York City, NY, United States.ORCID 0000-0001-6063-1523
Polina V KukharevaDepartment of Biomedical Informatics, University of Utah, 421 Wakara Way #140, Salt Lake City, UT, 84108, United States, 1 (801) 581-4080.ORCID 0000-0002-5576-1486
Tanner J CaverlyDepartment of Learning Health Sciences, University of Michigan, Ann Arbor, MI, United States.ORCID 0000-0002-6560-0547
Guilherme Del FiolDepartment of Biomedical Informatics, University of Utah, 421 Wakara Way #140, Salt Lake City, UT, 84108, United States, 1 (801) 581-4080.ORCID 0000-0001-9954-6799
Devin MannDepartment of Population Health, NYU Grossman School of Medicine, New York City, NY, United States.ORCID 0000-0002-2099-0852
JaeEun KwonDepartment of Population Health, NYU Grossman School of Medicine, New York City, NY, United States.ORCID 0009-0009-6649-9733
Angela FagerlinDepartment of Population Health Sciences, University of Utah, Salt Lake City, UT, United States.ORCID 0000-0002-9192-2777
Jorie M ButlerDepartment of Biomedical Informatics, University of Utah, 421 Wakara Way #140, Salt Lake City, UT, 84108, United States, 1 (801) 581-4080.ORCID 0000-0003-4519-7997
Kensaku KawamotoDepartment of Biomedical Informatics, University of Utah, 421 Wakara Way #140, Salt Lake City, UT, 84108, United States, 1 (801) 581-4080.ORCID 0000-0003-4282-9338

Funding

AHRQ HHS R18 HS028791
6 · The paper itself

Abstract

Background: Lung cancer remains the leading cause of cancer-related mortality worldwide, with low-dose computed tomography screening demonstrating an approximately 20% reduction in mortality among high-risk individuals. Despite this benefit, screening prevalence remains suboptimal, with often less than 20% of eligible individuals reported to be up to date on screening. Shared decision-making is essential for effective lung cancer screening (LCS) implementation, with decision aids shown to enhance patient knowledge and engagement. Objective: The aim of this study is to identify patient preferences, concerns, and design considerations through qualitative evaluation of MyLungHealth, a personalized patient-facing educational tool for LCS integrated with electronic health records, and to describe how these findings informed iterative design modifications. Methods: We employed qualitative research methods through focus groups (n=34) and individual interviews (n=18) with individuals who met screening eligibility criteria. Participants were recruited from the University of Utah Health and New York University Langone Health between May and December 2023. Feedback was analyzed using Braun and Clarke's thematic analysis principles. Results: Six themes were organized into three overarching domains. Domain A included interpretation and impact of personalized risk information: theme 1, difficulties interpreting risk information, and theme 2, varied impacts of risk information on motivation. Domain B included autonomy, privacy, and user interface preferences: theme 3, desire for autonomy and control over personal health data, and theme 4, preference for straightforward language and multiple information formats. Domain C included integration with clinical workflows and patient portal systems: theme 5, expectations for integration with health care provider workflows, and theme 6, mixed experiences with personal health record systems. These insights led to key design modifications, including simplified risk presentation, multimodal content delivery options (video and text), and implementation of electronic health record alerts for clinicians. Conclusions: The user-centered design process for MyLungHealth revealed important considerations for developing effective patient education tools for LCS. The findings highlighted the need for simplified risk presentation, personalized information delivery, and integration with clinical workflows. These findings underscore the importance of balancing comprehensive risk communication with user accessibility.

Indexed as

Early Detection of CancerLung NeoplasmsPatient Education as TopicAdultAgedFemaleFocus GroupsHumansMaleMass ScreeningMiddle AgedPatient PreferenceQualitative ResearchUser-Centered Designelectronic health record integrationlow-dose computed tomographylung cancer screeningpatient decision aidpatient portalpersonal health recordpersonalized risk communicationshared decision-makinguser-centered design

Identifiers

PMID42166800
PMCPMC13193705

What OpenQuestion holds

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LicenceCC BY
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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.