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여성암 환자의 재원일수 결정요인: 퇴원손상심층조사 자료를 이용하여Factors Associated with Hospital Length of Stay among Women’s Cancer Patients: Based on the In-depth Injury Patient Surveillance System Data

Other Titles
Factors Associated with Hospital Length of Stay among Women’s Cancer Patients: Based on the In-depth Injury Patient Surveillance System Data
Authors
강윤정이혜원
Issue Date
May-2022
Publisher
한국보건정보통계학회
Keywords
Ovarian cancer; Breast cancer; Uterine cervix cancer; Uterine corpus cancer; Length of stay; .
Citation
보건정보통계학회지, v.47, no.2, pp 148 - 158
Pages
11
Journal Title
보건정보통계학회지
Volume
47
Number
2
Start Page
148
End Page
158
URI
https://scholarworks.bwise.kr/sch/handle/2021.sw.sch/20982
ISSN
2465-8014
2465-8022
Abstract
Objectives: This study sought to evaluate factors associated with hospital length of stay (LOS) in four women’s cancer (ovarian, breast, uterine cervix and uterine corpus cancer) patients. Methods: The Korean National Hospital Discharge In-depth Injury Survey Data (2006-2017) collected by the Korea Cen- ters for Disease Control and Prevention were used. We extracted 74,641 in patients who were diagnosed with women’s cancer. We conducted a fre- quency analysis to analyze general characteristics of the study subjects for the four women’s cancers, and used the analysis of variance to compare the difference in the average LOS according to these characteristics. In addition, we performed Poisson regression analysis to evaluate the effects of demo- graphic characteristics, medical institutions, medical use characteristics, and disease characteristics on the LOS in women’s cancer patients. Results: Dur- ing the study period, the average LOS for each women’s cancer patients were 6.9 days for ovarian cancer, 6.0 days for breast cancer, 8.6 days for uterine cervical cancer, and 7.8 days for uterine corpus cancer. Among women’s cancers, cervical cancer patients had the longest average hospital stay. Accord- ing to the Poisson regression analysis, it was found that pay method for medical expense (relative risk [RR] range: 1.019-1.498), admission route (RR range: 1.908-2.133), hospital residence (RR range: 0.698-1.068), the number of beds (RR range: 0.546-0.920), the CCI severity (RR range: 1.139-1.529), and comorbidities have a significant influence on LOS for all women’s cancer patients. Conclusions: It is necessary to efficiently manage the LOS for women’s cancer patients in the future by considering the determinants of each women’s cancer identified in our study.
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