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Digital Health Implementation Strategies to Improve Lung Cancer Screening Among Safety-Net Clinics

Digital Health Implementation Strategies to Improve Lung Cancer Screening Among Safety-Net Clinics (LUNG-IS) - PATIENT

Who can join

Ages 50 to 80 · All sexes · Healthy volunteers welcome

Inclusion Criteria:

* Current or former, male and female, smokers.
* Age 50-80.
* Primary language English or Spanish.
* Have a phone that can send/receive text messages.

Exclusion Criteria:

* Patients who have never smoked.
* Patients who are under the age of 50 or above the age of 80.
* Primary language other than English or Spanish.
* Do not have access to a phone that can send/receive text messages.

About the study

The long-term goal of this program of research is to increase the reach of Lung Cancer Screening (LCS) among low-resource healthcare settings and populations. The proposed project, LUNG-IS, is a mixed-methods, pre-post quasi-experimental design conducted in three Utah safety-net healthcare system clinics.

LUNG-IS employs a comprehensive conceptual model with theories, models, and frameworks of implementation and behavioral science, uses rigorous mixed-methods to evaluate factors that influence implementation of LCS, and uses patient navigation to facilitate clinic-community linkages.

LUNG-IS leverages existing pathways to care and Centralized Hub infrastructure that enables eligibility assessment, LCS Shared Decision Making (SDM) with clinical decision support, screening referral, and screening logistics assistance to help overcome barriers to LCS completion. The Centralized Hub model uses ubiquitous technologies (i.e., text messaging/telehealth) to enable patients to be assessed for LCS eligibility, engage in SDM if eligible, and be referred for LCS. For patients who decide to complete LCS, they will be provided patient navigation via Community Health Workers designed to address logistical barriers, hesitancy, and financial constraints around completing LCS.

What is being tested

• Text Messages (TM+) (behavioral)
• Chat bot (CA) (behavioral)
• Video (behavioral)
• Reactive Patient Navigation (RPN) (behavioral)
• Proactive Patient Navigation (PPN) (behavioral)

Sponsor: University of Utah · Participants: 800 · Started: Jan 1, 2026

Contact the study team

• Indy Li, MS · Phone: 801-213-5697

Official record on ClinicalTrials.gov — NCT07716280

Locations in the U.S.

Conditions

• Lung Cancer

From ClinicalTrials.gov, data retrieved Oct 2, 2026. Each study sets its own eligibility; the study team decides who can join.