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Computer-Tailored Decision Support Tool for Lung Cancer Screening: Community-Based Pilot Randomized Controlled Trial
Lisa Carter-Harris1, Robert Skipworth Comer2, James E Slaven Ii3
1Memorial Sloan Kettering Cancer Center, New York, NY, United States.
Journal of Medical Internet Research
|November 3, 2020
Summary
A new computer-tailored tool, LungTalk, significantly improved lung cancer screening knowledge and preparedness for shared decision-making among eligible patients. This supports informed choices about lung cancer screening.
Area of Science:
- Public Health
- Medical Decision Making
- Health Informatics
Background:
- Lung cancer screening is a US Preventive Services Task Force Grade B recommendation, reducing mortality by ~20%.
- Shared decision-making (SDM) is crucial for lung cancer screening but challenging due to low awareness and potential risks like false positives.
- Effective patient preparation and clinician support are needed for informed lung cancer screening decisions.
Purpose of the Study:
- To evaluate a computer-tailored decision support tool (LungTalk) for lung cancer screening.
- To assess the tool's impact on patient preparedness and SDM for lung cancer screening.
- To meet International Patient Decision Aid Standards certification criteria.
Main Methods:
- A pilot randomized controlled trial involved 60 screening-eligible participants with no prior screening.
- Participants were randomized to view either the web-based LungTalk tool or generic information.
- Outcomes measured included knowledge, health beliefs, and perceived preparedness for discussion.
Main Results:
- Both groups showed increased knowledge, with significantly greater improvement in the LungTalk group (2.33 vs 1.14 mean change).
- Perceived self-efficacy and perceived benefits improved as theoretically predicted.
- LungTalk enhanced preparedness for engaging in lung cancer screening discussions.
Conclusions:
- LungTalk effectively prepares individuals for lung cancer screening decisions by providing tailored information.
- The tool addresses broader lung health and potential incidental findings from low-dose CT scans.
- Tailoring algorithms and message framing based on smoking status enhance its impact on behavior change.

