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PCP facing tools for Lung Cancer (PASI Trial)

N/A
Waitlist Available
Led By Nichole T Tanner, MD MS BS
Research Sponsored by VA Office of Research and Development
Eligibility Criteria Checklist
Specific guidelines that determine who can or cannot participate in a clinical trial
Must have
* meeting USPSTF eligibility criteria for LCS, as currently encoded in the background logic of LCS clinical reminders maintained by the VA National Center for Lung Cancer Screening (i.e., age 50-80 years; smoked 20 pack-years; current smoking or quit \<15 years ago) OR * predicted benefit calculated using LYFS-CTVA model exceeds a stringent high-benefit threshold of life-year gains with annual LCS, as recommended in the 2021 CHEST LCS guidelines
Timeline
Screening 3 weeks
Treatment Varies
Follow Up through study completion, an average of 3 years
Awards & highlights

Summary

Lung cancer is responsible for more deaths in the United States than breast, prostate and colon cancer combined and is the number one cancer killer of Veterans. This is because lung cancer is usually diagnosed when the disease has spread, and cure is less likely. Lung cancer screening (LCS) finds cancer at an earlier stage when it is curable, yet only 20% of eligible Veterans have been screened. Uptake is even lower among Black Veterans despite higher lung cancer risk. Using prediction models to identify high-benefit people for whom LCS should be encouraged improves efficiency and reduces disparities. Moreover, it is more patient-centered as shared decision-making conversations can be tailored with personalized information. The US Preventive Services Task Force has called for research to demonstrate that prediction-augmented LCS can be feasibly implemented at the point-of-care. The investigators propose for VA to lead this effort with a large-scale pragmatic clinical trial to show that prediction-augmented LCS is both feasible and improves LCS uptake.

Who is the study for?
This trial is for individuals eligible for lung cancer screening, particularly focusing on Veterans who are at high risk but have low screening rates. It aims to improve early detection in this group, with an emphasis on reducing disparities and increasing uptake among Black Veterans.
What is being tested?
The study tests whether using prediction models alongside population management tools can increase the efficiency of lung cancer screenings (LCS) and encourage higher participation rates among Veterans.
What are the potential side effects?
Since this trial focuses on implementing a new approach to screening rather than testing a medical treatment or drug, there are no direct side effects associated with traditional clinical interventions.

Eligibility Criteria

Inclusion Criteria

You may be eligible if you check “Yes” for the criteria below

Timeline

Screening ~ 3 weeks
Treatment ~ Varies
Follow Up ~through study completion, an average of 3 years
This trial's timeline: 3 weeks for screening, Varies for treatment, and through study completion, an average of 3 years for reporting.

Treatment Details

Study Objectives

Study objectives can provide a clearer picture of what you can expect from a treatment.
Primary study objectives
LDCT receipt
Secondary study objectives
Black Veteran Uptake
Complications from invasive procedures
High-benefit Veteran Uptake
+4 more

Trial Design

4Treatment groups
Experimental Treatment
Active Control
Group I: PCP facing tools plus LCS population management dashboardExperimental Treatment2 Interventions
both interventions activated
Group II: PCP facing toolsExperimental Treatment2 Interventions
Suite of PCP facing tools activated
Group III: LCS team population management toolsExperimental Treatment2 Interventions
site-specific dashboard and proactive outreach toolkit
Group IV: Usual CareActive Control1 Intervention
Usual care

Find a Location

Who is running the clinical trial?

VA Office of Research and DevelopmentLead Sponsor
1,642 Previous Clinical Trials
3,329,071 Total Patients Enrolled
Nichole T Tanner, MD MS BSPrincipal InvestigatorRalph H. Johnson VA Medical Center, Charleston, SC
~15680 spots leftby Mar 2029