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KMID : 0363620210420020031
Journal of Korean Oriental Medicine
2021 Volume.42 No. 2 p.31 ~ p.49
Statistical Analysis of Patients Visiting Department of Acupuncture and Moxibustion in Korean Medicine Hospital Before and After COVID-19 - Focusing on a Korean Medicine Hospital in Daejeon -
Lee Young-Rok

Cha Hyun-Ji
Choi Hyeon-Kyu
Kim Min-Ju
Kim Beom-Seok
Sung Ki-Jung
Jeon Ju-Hyun
Kim Eun-Seok
Kim Young-Il
Abstract
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.
KEYWORD
COVID-19, Patient Statistical Analysis, Korean Medicine Hospital
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