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. 2021 Feb 6;160(1):330–340. doi: 10.1016/j.chest.2021.01.041

Table 6.

Distribution of Patient Characteristics for Knowledge of Lung Cancer Screening, SDM Process, and Decisional Conflict for Current and Former Smokers Screened for Lung Cancer (n = 266)

Variable Knowledge of Lung Cancer and Screeninga
SDM Processb
Decisional Conflict About Screening Decisionc
Percentage 95% CI OR 95% CI OR 95% CI
Screening settings (academic medical center is reference group)
 Cancer tobacco treatment program (n = 137 patients) 9.05 2.55-15.54 0.54 0.23-1.27 1.59 0.65-3.88
 Cancer center lung cancer screening program (need label; n = 90 patients) 7.69 0.92-14.46 0.82 0.33-2.02 1.06 0.41-2.72
Time since last screening (< 3 mo is reference group), mo
 3-6 –2.77 –8.89 to 3.34 0.67 0.30-1.52 0.68 0.27-1.73
 6-12 –5.42 –11.11 to 0.27 0.59 0.27-1.28 0.48 0.20-1.15
Age (<65 is reference group)
 65+ 3.04 –1.14 to 7.23 1.02 0.59-1.78 1.78 0.97-3.25
Sex (1 = male and 0 = female; male as reference)
 Female 1.8 –2.36 to 5.97 1.54 0.88-2.68 1.18 0.65-2.15
Race or ethnicity (White not Hispanic is reference group)
 Other than White or Hispanic –7.93 –14.48 to –1.37 2.51 1.03-6.10 4.31 1.36-13.7
Education (college graduate is reference group)
 High school graduate or less –11.42 –17.13 to –5.71 0.68 0.32-1.44 1.05 0.47-2.33
 Some college or trade school –10.11 –14.64 to -5.58 0.77 0.42-1.41 1.38 0.71-2.67
No. of times screened for lung cancer (1 is reference group)
 2 –3.75 –9.12 to 1.63 0.83 0.42-1.65 1.68 0.79-3.56
 3 2.46 –2.6 to 7.52 1.26 0.64-2.45 1.85 0.92-3.73
Current smoker (1 = yes and 0 = no; yes as reference)
 No 1.41 –2.91 to 5.72 0.97 0.55-1.71 1.93 1.04-3.55
Pack-year smoking history –0.01 –0.11 to 0.08 1.02 1.00-1.03 1.01 0.99-1.02

SDM = shared decision-making. Boldface values indicate characteristic is significantly related to the outcome variable at P ≤ .05.

a

Percentage correct responses using ordinary least square regression.

b

1 = scores of 3 and 4 and 0 = scores from 0 to 2 using logistic regression.

c

1 = some decisional conflict and 0 = no decisional conflict using logistic regression.