대규모 감염사태가 지역사회 처방 약물 사용에 미치는 영향 분석: 신종플루와 메르스를 중심으로

다국어 초록 (Multilingual Abstract)

We aimed to analyze the effects of a large-scale infection on the prescription drug use. Using the data of 1,000 randomly selected people from the National Health Insurance Corporation sample cohort 2.0 data, we analyzed prescription drug data before and after the 2009 novel swine-origin influenza A (H1N1) and 2015 middle east respiratory syndrome (MERS) outbreaks. Drugs were grouped and converted into ATC codes, and then the changes in consumption between pre & post-period along with the drug efficacy groups (ATC code) were analyzed by age groups (subjects aged 65 years or above vs. subjects aged under 65 years). Analysis results were expressed as frequency, percentage (%), and mean± standard deviation. Data analysis was performed using open source program R. As results, in the H1N1 influenza situation, in group C (cardio-vascular system), group M (musculo-skeletal system), group N (nervous system), and group S (sensory system) showed a statistically significant increase. In case of MERS, only in group C (cardio-vascular system) showed a statistically significant increase. In particular, the use of drugs in group C (cardio-vascular system) increased in the age group of 65 years and older, and the use of drugs such as group N02 (analgesic drugs) increased in the age group of less than 65 years. In conclusion, large-scale infections cause differences in drug use depending on the nature of the pandemic. Therefore it is necessary to continuously monitor the changes between pre & post period of large scale infections for public health plans.