Stata를 활용한 Sick-Sicker 모형 시뮬레이션: 고혈압과 당뇨를 중심으로

This study develops a micro-simulation model in Stata, showcasing the potential of constructing such models using Korea Health Panel (KHP) data. Specifically, we reinterpret the micro-simulation model originally developed using R code based on the Sick-Sicker model by Krijkamp et al.(2018) in the Stata environment. Using data from the KHP, simulation results for cohorts aged 60 to 69 focused on diabetes and hypertension were derived. The findings suggest: First, the proportion of individuals without chronic diseases (specifically, diabetes and hypertension) diminishes over time, with 38% of the cohort projected to succumb within 30 years. Second, utility was observed to be higher in an extended model incorporating the treatment process than in a baseline model excluding it. Third, effective governmental health and medical policies could amplify patient utility while concurrently decreasing the medical service burden. This research is pivotal in demonstrating the feasibility of creating and employing micro-simulation models using Stata. Furthermore, the study provides specific Stata codes for such models, which can serve as a foundation for future research and policy development. It is hoped that the findings will spur broader discussions, facilitating the creation of intricate micro-simulations tailored for devising impactful healthcare policies.