Support and Outreach to Increase Lung Cancer Screening
This study is testing if providing education and support can help more people with a history of smoking get screened for lung cancer. Lung cancer screening (LCS) can help doctors find cancer earlier when it might be easier to treat. The study will provide online education and shared decision-making training to healthcare providers and patients. Researchers will compare groups who receive different levels of support and education to see if these efforts increase the number of people getting screened. To join, you must be between 50 and 77 years old. The main goal is to see how many people complete their initial lung cancer screening within four months of starting the study. The current status of this study is unclear.
- Study design
- This is an interventional study with a planned enrollment of 822 participants. It uses a cluster randomized design, meaning groups of practices and patients are assigned to different study arms.
- What's involved
- Participants will complete surveys and may undergo online educational activities and distance learning. Some patients will also receive shared decision-making counseling.
- Compensation
- Not stated in the trial record.
- Follow-up
- The primary endpoint, completion of initial lung cancer screening, is measured within 4 months of randomization.
AI-generated from the public study record. Only the study team can confirm whether you're eligible — confirm details with them before making decisions.
Support and Outreach to Increase Screening for Lung Cancer in Patients With a History of Smoking
At a glance
Conditions
Where it's being run
1 sites across 1 statesWho to contact
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Do you actually qualify for this trial?
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Inclusion
Exclusion
What this trial measures
- Completion of initial lung cancer screening (LCS)Within 4 months of randomization
LCS will be assessed through an endpoint electronic medical records (EMR) search, supplemented with a question on the participant endpoint survey to capture any LCS performed outside the health system and/or not captured in the EMR.