민간 종합 건강검진 이용 요인 분석 : 국민건강영양조사 제 5기(2010-2012) 자료를 중심으로

Abstract

Objective As it is increasing an importance of the quality of life with economic development and health life extension, it highlights the importance of private health checkup as preventive healthcare service. However there is very few research on this issue in Korea. Therefore this study is conducted to analyze the factors affecting the use of private health checkup throughout the country. With this process, it aims to figure out the Korean users in private health checkup and to suggest baseline data for evidence-based policy making for national health screening program.

Methods This study is based on the Korean National Health and Nutrition Examination Survey (KNHANES) Ⅴ, and collected the database of 25,534 people and then selected 17,130 people as the study population who are age 19 and over and have no missing value (Age<19, Missing value were excluded). It is analyzed by 3 major factors including demographic, socioeconomic, and health behavioral factors, and it is implemented analytical methods for Rao-Scott chi-square test, logistic regression analysis considering the survey characteristics by using SAS ver. 9.2.

Results The main results are as follows: the utilization population(rate) are 1,649 (9.6%) among 17,130 people. First, demographic factors, in marital status, OR(odds ratio) of married to never married was 1.81, divorced, separated, widowed was 2.34. In region, OR of metropolitan city to capital area was 0.73, others was 0.77. Second, socioeconomic factors, in education, OR of high school to primary or less was 1.55, over the college was 1.82. In income, OR of 3Q to 1Q was 1.30, 4Q was 1.76. In occupation, OR of service and sales workers to professionals was 0.65, craft, assembling and elementary workers was 0.74. In housing tenure, OR of one to none was 1.31, more than two was 1.41. In housing type, OR of others to apartment was 0.79. In health insurance type, OR of medical caid and not insured to NHI(employee) was 0.46. In private health insurance, OR of insured to not insured was 1.44. Third, health behavioral factors, in physical activity, OR of active to inactive was 1.33. In flu vaccination, OR of yes to no was 1.41. In chronic disease, OR of more than one to none was 1.21. In self rated body type, OR of obese to slim was 1.51.

Conclusion It is confirmed that three major factors including demographic, socioeconomic and health behavioral factors are affecting the use of private health checkup, in particular the most of socioeconomic and some of health behavioral variables are deeply involved in private health checkup.

Therefore, to begin with, it should be considered to design the next national health policy, especially socioeconomic factors, and required to further study the relationship between health behavior and health checkup. Additionally, it is needed to set up complementary relationship between the public and the private health checkup. Furthermore, with this consideration, it is suggested to precede quality improvement efforts for the public sector and the cost-effective analysis for the private sector.