- P-ISSN 1010-0695
- E-ISSN 2288-3339
Objectives: The purpose of this study is to statistically analyze the demographic characteristics of patient who visited the department of Acupuncture & Moxibustion, korean medicine hospital(KMH) in Daejeon before and after COVID-19. Methods: This study retrospectively analyzed the medical records of 63,185 patients who received treatment at KMH in Daejeon for 3 years from January 1, 2018 to August 31, 2020. Data were classified by year, month, new/old type, gender, age and Disease group. IBM-SPSS-Statistics ver25.0. was used for the data analysis. Results: 1. According to the analysis by gender, the rate of new patients after COVID-19 outbreak was similar to that of the previous years. The old patients showed an increase in the rate of visits by men and a decrease in the rate of visits by women. 2. According to the analysis by age group, the rate of new patients was similar to that of the previous year. the rate of patients in their 20s and 50s decreased, and the rate of patients over 60 increased. 3. According to the analysis by frequent disease, after the outbreak of COVID-19, the number of patients decreased in 14 disease groups excluding cervical sprains among the 15 frequent disease groups. 4. For inpatients, even after COVID-19 outbreak, the results of all variables were similar to the previous years. Conclusions: After COVID-19, on outpatients, the percentage of female visits, the percentage of patients in their 20s to 50s and Number of patients with frequent disease decreased significantly. On Inpatients, the results of all variables were similar to those before COVID-19.
1. Zhu N, Zhang D, Wang W, et al. A novel coronavirus from patients with pneumonia in China, 2019. New England Journal of Medicine. 2020;
2. Wang F-S, Zhang C. What to do next to control the 2019-nCoV epidemic? The Lancet. 2020;395:391–393.
3. WHO Director-General’s remarks at the media briefing on 2019-nCoV on 11 February 2020[Internet]. [cited 2020 Oct 30]. Available from:https://www.who.int/director-general/speeches/d etail/who-director-general-s-remarks-at-the-med ia-briefing-on-2019-ncov-on-11-february-2020.
4. 질병관리청보건복지부. 코로나바이러스감염증-19(COVID-19) [Internet]. 코로나바이러스감염증-19(COVID-19). [cited 2020 Oct 29]. Available from: http://ncov.mohw.go.kr/.
5. 손창우. 코로나 19 (COVID-19) 대응을 통해 본서울시 신종감염병 관리의 현재와 미래. 정책리포트. 2020;1–36.
6. Hatchett RJ, Mecher CE, Lipsitch M. Public health interventions and epidemic intensity during the 1918 influenza pandemic. Proceedings of the National Academy of Sciences. 2007;104:7582–7587.
7. CDC. Coronavirus Disease 2019 (COVID-19)[Internet]. Centers for Disease Control and Prevention. 2020 [cited 2020 Nov 3]. Available from: https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/social-distancing.html.
8. Baldwin R, Weder di Mauro B. Economics in the Time of COVID-19. CEPR Press; 2020.
9. 코로나19로 인한 국민의 의료이용행태 변화[Internet]. 국민건강보험. 2020 [cited 2020 Nov 3]. Available from: https://www.nhis.or.kr/nhis/together/wbhaea01600m01.do?mode=view&arti cleNo=138736&article.offset=0&articleLimit=10.
10. Middle East Respiratory Syndrome Coronavirus Outbreak in the Republic of Korea, 2015. Osong Public Health Res Perspect. 2015;6:269–278.
11. WHO | WHO statement on the ninth meeting of the IHR Emergency Committee regarding MERS-CoV [Internet]. WHO. World Health Organization; [cited 2020 Nov 4]. Available from: https://www.who.int/mediacentre/news/statements/2015/ihr-ec-mers/en/.
12. Lee W-C. Post-MERS: the strategies to minimize the risks from new epidemics. J Korean Med Assoc. 2015;58:689–691.
13. 코로나19에 대한 국민 인식 및 경험조사 개요[Internet]. 국립중앙의료원. 2020 [cited 2020Nov 3]. Available from: https://www.nmc.or. kr/nmc/bbs/B0000008/view.do?nttId=7458&me nuNo=200394&pageIndex=2.
14. 전병율. 전염병 추이와 전망. KOREA TOURISM POLICY. 2009;34–41.
15. Gralinski LE, Menachery VD. Return of the Coronavirus: 2019-nCoV. Viruses. 2020;12:135.
16. Lee CJ. A Review on the Biomedical Aspects of COVID-19. THEOLOGY AND OTHER DISCIPLINES. 2020;29:12–27.
17. Choi S, Ki M. Analyzing the effects of social distancing on the COVID-19 pandemic in Korea using mathematical modeling. Epidemiology and Health. 2020;42:e2020064.
18. Kim TH. Institutional preparedness for infectious diseases and improving care. J Korean Med Assoc. 2015;58:606–610.
19. Case A, Paxson C. Sex differences in morbidity and mortality. Demography. 2005;42:189–214.
20. Cho KS. The differences in behaviors of utilization on western and oriental medical care in Korea [MSc Thesis]. Yonsei University;2001.
21. Sung KJ. Statical study of the patient of Acupuncture and Moxibustion Medicine at Daejeon Korean Medicine Hospital [MSc Thesis]. Dajeon University; 2020.
22. Kim CD. Study on managing the medical expenses caused by population aging [Ph.D. Thesis]. Dong-A University; 2019.
23. e-national indicators [Internet]. Statistics Korea. [cited 2020 Nov 4]. Available from:https://www.index.go.kr/unify/idx-info.do?idxC d=4235.
24. Jang H-K, Jung IC, Park YC, et al. Analysis of Choice factors of Korean Medicine and Pain Assessment - Using a Korean Longitudinal Study of Ageing(KLoSA) -. kjopp. 2018;32:411–417.
25. Choi B, Son C, Lim B. The relationship between the Use of Korean and Western medicine in treating musculoskeletal disease. J Korean Med. 2014;35:22–31.
26. Jo EJ. Patients’ Preference of Oriental Medical Clinics to Western Medical Clinics [MSc Thesis]. Graduate School of Public Health, Kosin University Department of Hospital Management; 2000.
27. National Police Agency. Statistical report of traffic accident in 2016
28. Lee CS, Lee HJ, Chae JM. A Study on the Analysis of Factors for the Increase of Oriental Medicine Expenditure in the Automobile Insurance. 2019; 20(1): 121-130.