ArticleJMIR formative research2022
A Veteran-Centric Web-Based Decision Aid for Lung Cancer Screening: Usability Analysis.
Article in JMIR formative research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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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.
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Who cites it
7 citing papers in PubMed, 11 citations in OpenAlex.
- Lung Cancer Screening Decision Aid Designed for a Primary Care Setting: A Randomized Clinical Trial.JAMA network open · 2023Trial
- Effectiveness of Technology-Based Interventions in Promoting Lung Cancer Screening Uptake and Decision-Making Among Patients.International journal of environmental research and public health · 2025Review
- Lifetime prevalence and correlates of colorectal cancer screening among low-income U.S. Veterans.Cancer causes & control : CCC · 2024Article
- Patient Perspectives on a Patient-Facing Tool for Lung Cancer Screening.Health expectations : an international journal of public participation in health care and health policy · 2024Article
- Clinical Adjuncts to Lung Cancer Screening: A Narrative Review.Thoracic surgery clinics · 2023Review
- Investigation on the incidence and risk factors of lung cancer among Chinese hospital employees.Thoracic cancer · 2022Article
- Is Lung Cancer Screening Knowledge Associated with Patient-Centered Outcomes? A Multi-institutional Cohort Study.MDM policy & practiceArticle
Corrections and comments
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Authors and funding
15 authors at 6 institutions in 1 country.
Funding
Abstract
backgroundWeb-based tools developed to facilitate a shared decision-making (SDM) process may facilitate the implementation of lung cancer screening (LCS), an evidence-based intervention to improve cancer outcomes. Veterans have specific risk factors and shared experiences that affect the benefits and potential harms of LCS and thus may value a veteran-centric LCS decision tool (LCSDecTool).
objectiveThis study aims to conduct usability testing of an LCSDecTool designed for veterans receiving care at a Veteran Affairs medical center.
methodsUsability testing of the LCSDecTool was conducted in a prototype version (phase 1) and a high-fidelity version (phase 2). A total of 18 veterans and 8 clinicians participated in phase 1, and 43 veterans participated in phase 2. Quantitative outcomes from the users included the System Usability Scale (SUS) and the End User Computing Satisfaction (EUCS) in phase 1 and the SUS, EUCS, and Patient Engagement scale in phase 2. Qualitative data were obtained from observations of user sessions and brief interviews. The results of phase 1 informed the modifications of the prototype for the high-fidelity version. Phase 2 usability testing took place in the context of a pilot hybrid type 1 effectiveness-implementation trial.
resultsIn the phase 1 prototype usability testing, the mean SUS score (potential range: 0-100) was 81.90 (SD 9.80), corresponding to an excellent level of usability. The mean EUCS score (potential range: 1-5) was 4.30 (SD 0.71). In the phase 2 high-fidelity usability testing, the mean SUS score was 65.76 (SD 15.23), corresponding to a good level of usability. The mean EUCS score was 3.91 (SD 0.95); and the mean Patient Engagement scale score (potential range 1 [low] to 5 [high]) was 4.62 (SD 0.67). The median time to completion in minutes was 13 (IQR 10-16). A thematic analysis of user statements documented during phase 2 high-fidelity usability testing identified the following themes: a low baseline level of awareness and knowledge about LCS increased after use of the LCSDecTool; users sought more detailed descriptions about the LCS process; the LCSDecTool was generally easy to use, but specific navigation challenges remained; some users noted difficulty understanding medical terms used in the LCSDecTool; and use of the tool evoked veterans' struggles with prior attempts at smoking cessation.
conclusionsOur findings support the development and use of this eHealth technology in the primary care clinical setting as a way to engage veterans, inform them about a new cancer control screening test, and prepare them to participate in an SDM discussion with their provider.
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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.