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. 2023 Feb 10;164(1):241–251. doi: 10.1016/j.chest.2023.02.003

Table 2.

Proportion and aORs of Adherence to a Follow-up Annual Examination (11-15 Mo) in the LCSR 2015-2018a

Characteristic Follow-up Annual Examination Between 11 and 15 Months (T1), % aOR 95% CI
Total 22.3 . . . . . .
Sex
 Male 22.2 1.00
 Female 22.4 1.01 1.00-1.02
Age group, y
 55-59 20.2 1.00 . . .
 60-64 21.7 1.06 1.05-1.08
 65-69 24.2 1.19 1.16-1.21
 70-77 23.2 1.13 1.11-1.16
Smoking history
 Former 24.7 1.17 1.15-1.18
 Current 20.8 1.00 . . .
Race
 White 24.2 1.00 . . .
 Black 19.4 0.84 0.76-0.92
 Asian 18.3 0.79 0.64-0.99
 Hawaiian native/Pacific Islander 19.6 0.91 0.71-1.61
 Other 20.2 0.89 0.76-1.03
 Missing race/ethnicity 20.9 0.92 0.83-1.02
Hispanic origin
 No 24.2 1.00 . . .
 Yes 16.6 0.73 0.63-0.85
 Missing 21.1 0.92 0.82-1.19
Education
 < High school 27.1 0.86 0.76-1.20
 High school or GED 29.0 0.89 0.81-1.16
 Some college 30.5 0.93 0.86-1.13
 College or more 32.2 1.00 . . .
 Missing education 22.6 0.73 0.64-1.23
Health insurance
 Uninsured (55-64 y) 9.7 0.44 0.37-1.32
 Medicaid (55-64 y) 18.8 0.83 0.76-1.14
 Private (55-64 y) 21.0 0.88 0.84-1.07
 Medicare (65-80 y) 23.5 1.00 . . .
 Missing
  55-64 y 19.7 0.89 0.82-1.14
  65-80 y 22.7 1.01 0.93-1.13
Baseline scan year
 2015 24.9 1.00 . . .
 2016 23.0 0.86 0.74-1.00
 2017 23.4 0.88 0.75-1.03
 2018 20.9 0.77 0.65-0.90
Geographic region
 Northeast 25.2 1.00 . . .
 Midwest 24.2 0.83 0.69-1.01
 South 19.3 0.65 0.53-0.79
 West 19.0 0.71 0.52-0.96

aOR = adjusted OR; GED = Graduate Educational Development; LCSR = Lung Cancer Screening Registry.

a

Annual examination was defined as people receiving a follow-up examination within 11-15 mo of the initial examination. If a second examination occurred < 11 mo after baseline, it was assumed to be a part of the workup of screening-detected abnormalities. Analyses were limited to individuals with Lung Imaging Reporting and Data System categories 1 and 2 at baseline examination. Models were adjusted for sex, age, race, smoking status, ethnicity, education, insurance type, geographic region, year, and facility category. Models account for correlation among patients within facilities.