Prediction-Augmented Shared Decision-Making and Lung Cancer Screening Uptake.

ABSTRACT:

Importance

Addressing poor uptake of low-dose computed tomography lung cancer screening (LCS) is critical, especially for those having the most to gain-high-benefit persons with high lung cancer risk and life expectancy more than 10 years.

Objective

To assess the association between LCS uptake and implementing a prediction-augmented shared decision-making (SDM) tool, which enables clinicians to identify persons predicted to be at high benefit and encourage LCS more strongly for these persons.

Design, setting, and participants

Quality improvement interrupted time series study at 6 Veterans Affairs sites that used a standard set of clinical reminders to prompt primary care clinicians and screening coordinators to engage in SDM for LCS-eligible persons. Participants were

SUBMITTER: Caverly TJ 

PROVIDER: S-EPMC12312416 | biostudies-literature | 2024 Jul

REPOSITORIES: biostudies-literature