Abstract

Smoking is a risk factor for various chronic diseases with potentially high healthcare costs. The risk of high health financing caused by smoking-related diseases which are covered and paid for by health insurance can be a problem in itself, especially amid the high prevalence of smoking in Indonesia and the increasing membership of Indonesia’s National Health Insurance System (BPJS Health) which also includes smoker participants. This condition can burden BPJS Health financing caused by smoking-related diseases. Therefore, by linking smoking status with BPJS Health membership may provide an overview and characteristics of groups at risk of burdening the BPJS Health financing. This study aims to determine the general description and analyze the variables that affect the smoking status, BPJS Health membership, and the relationship between them. A bivariate binary logistic regression model was used to explain two binary categorical response variables by first testing the relationship between them using the Chi-square test. The results showed that age group, education level, and welfare status significantly affected smoking status. Then the age group, education level, welfare status, employment sector, and area of residence significantly affect BPJS Health membership. Meanwhile, only the variables of age group, welfare status, and employment sector significantly affect their relationship. Therefore, the characteristics of significant variables can be used to give interventions on the right problematic groups, to make policies related to smoking and healthcare, and other further interventions.