Related Experiment Video
Updated: Dec 19, 2025

Use of Electromagnetic Navigational Transthoracic Needle Aspiration E-TTNA for Sampling of Lung Nodules
Published on: May 23, 2015
Lung cancer screening decisional needs among African American smokers of lower socioeconomic status
Randi M Williams1, Kenneth H Beck2, James Butler2
1Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, Washington, DC, USA.
Objectives:
Adherence to most evidence-based cancer screenings is lower among African Americans due to system- and individual-level factors that contribute to persistent disparities. Given the recommendation for low-dose computed tomography (LDCT) screening among individuals at high risk for lung cancer, we sought to describe aspects of decision-making for LDCT among African Americans and to examine associations between select components of decision-making and screening-related intentions.
Design:
African Americans (N = 119) with a long-term smoking history, aged 55-80 years, and without lung cancer were recruited to participate in a cross-sectional survey. We measured knowledge, awareness, decisional conflict, preferences, and values related to lung cancer screening.
Results:
The majority of the study population was of lower socioeconomic status (67.2% had an annual income of ≤$20,000) and long-term current (79%) smokers. Participants had a median 20 pack-years smoking history. Most participants (65.8%) had not heard of LDCT and the total lung cancer screening knowledge score was M = 7.1/15.0 (SD = 1.8). Participants with higher scores on the importance of the pros and cons of screening expressed greater likelihood of talking with a doctor, family, and friends about screening (p's < .10).
Conclusions:
Findings have implications for addressing the decisional needs of lower socioeconomic African American current and former smokers to promote informed decision-making for LDCT.
More Related Videos
07:13Comparison of Predictive Performance of Three Lymph Node Staging Systems in Colorectal Signet Ring Cell Carcinoma Based on Machine Learning Model
Published on: April 18, 2025
12:18A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
Published on: January 11, 2020
Related Concept Videos
Statistical Methods for Analyzing Epidemiological Data
Chronic Obstructive Pulmonary Disease-IV: Assessement and Diagnostic Studies
Medical History
Longitudinal Research
Cancer Prevention
Some...
Preventive Healthcare Services
Lifestyle Factors and Health
Benefits of Physical Activity
Physical activity, whether through structured exercise or casual activities like walking, biking, or dancing, is a cornerstone of a...