The data were collected through face-to-face interviews conducted by a professional research agency, except in 2004, when data were collected via computer-assisted telephone interviews. Subjects were recruited through door-to-door contact, and at least three attempts to contact each household were made. One person was selected from each household. All study participants were provided with sufficient explanation and they agreed to participate in the survey.
Our target population, derived from the NCSP protocols in Korea, was composed of cancer-free men and women aged ≥ 40 and ≥ 30 years, respectively, during the years 2004–2018. In addition, from 2014, we also conducted survey about cervical cancer screening in women aged 20–29 years, as the recipients of the national cervical cancer screening program was expanded to women in their age of 20s from 2015. Because they were not eligible for other kinds of cancer screening, those data were only used for cervical cancer screening rates with recommendation, either when calculating them separately (i.e., subgroup analysis by age) or when integrating them with screening rates for women aged ≥ 30 years (i.e. calculating the screening rates, including women in their 20s), from 2014.
The KNCSS explored experience with screening for five types of cancer (i.e., stomach, liver, colorectal, breast, and cervical cancer) and sociodemographic characteristics, including educational level, household income, marital status, residential area, and type of health insurance, using a structured questionnaire. Among the questionnaire, major questions asking the interviewee’s cancer screening experiences provided in
Two types of cancer screening rates were measured in this study. Lifetime screening was defined as ever having undergone a screening test during the lifetime. Meanwhile, screening rate with recommendation category was assigned to participants who had undergone screening tests according to the NCSP procedures and intervals (
We determined the lifetime screening rates and the screening rates with recommendations for each cancer. The latter rates were also calculated with reference to age and sex. However, the liver cancer screening rate was excluded from subgroup analysis because an inadequate number of individuals in the high-risk group rendered the results unreliable (95% confidence interval was wide). We used the survey sample weights to develop non-biased estimates of the descriptive data. Trends in screening rates of both types were estimated using Joinpoint regression [5 ], and the results were summarized as an annual percentage change (APC) using a linear model on the raw values of each screening rate. A logarithmic transformation on screening rate was not performed, and a maximum number of two joinpoints was applied in the analysis. However, we adopted 1 joinpoint option for every analysis, for the unity, which showed the best model fit in most of the cases. Statistical analyses were performed using SAS ver. 9.4 (SAS Institute Inc., Cary, NC) and Joinpoint ver. 4.8.0.1 (National Cancer Institute, Bethesda, MD) software.