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여성암 환자의 재원일수 결정요인: 퇴원손상심층조사 자료를 이용하여

Factors Associated with Hospital Length of Stay among Women’s Cancer Patients: Based on the In-depth Injury Patient Surveillance System Data

이혜원|강윤정
한국보건정보통계학회 (The Korean Society of Health informatics statistics)|2022.05|보건정보통계학회지 (Journal of Health Informatics and Statistics)|제47권 제2호|pp. 148-158|DOI 10.21032/jhis.2022.47.2.148

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키워드

Breast cancerOvarian cancerLength of stayUterine cervix cancerUterine corpus cancer

초록

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.

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.

참고문헌 (38)

  1. "South Korea’s social indicators for 2021"[URL]
  2. "Cancer survival rate increased to 70.7%, and the incidence of breast cancer and prostate cancer is on the rise"[URL]
  3. Yi M, "Epidemiological trends of women’s cancers from 1990 to 2019 at the global, regional, and national levels : a population-based study", Biomark Res, 9(1), pp.55~ (2021)[DOI]
  4. "2019 Cancer relative survival rates"[URL]
  5. Lee JH, "Breast cancer screening using breast ultrasound", J Korean Soc Breast Screening, 3, pp.64~65 (2006)
  6. 박연희, "유방암의 약물치료", 대한의사협회지, 52(10), pp.963~974 (2009), 대한의사협회
  7. 허승재, "자궁경부암 환자의 근치적 방사선치료성적", Radiation oncology journal, 20(3), pp.7~245 (2002), 대한방사선종양학회
  8. 임정원, "유방암 및 부인과 암 생존자의 삶의 질에 대한 생존단계별 비교 연구", 한국사회복지학, 60(1), pp.5~27 (2008), 한국사회복지학회[DOI]
  9. 백옥미, "유방암 및 부인과 암 생존자의 사회적 지지 : 암 병기 및 생존단계별 비교분석", 한국가족복지학, (32), pp.5~35 (2011), 한국가족사회복지학회[DOI]
  10. 민효숙, "유방암 생존자의 재발방지 행위와 삶의 질", Journal of Korean Academy of Nursing, 38(2), pp.187~194 (2008), 한국간호과학회
  11. Salani R, "An update on post-treatment surveillance and diagnosis of recurrence in women with gynecologic malignancies : Society of Gynecologic Oncology(SGO)recommendations", Gynecol Oncol, 146(1), pp.3~10 (2017)[DOI]
  12. Giornelli GH, "Management of relapsed ovarian cancer : a review", Springerplus, 5(1), pp.1197~ (2016)[DOI]
  13. Gonzalez-Angulo AM, "Overview of resistance to systemic therapy in patients with breast cancer", Adv Exp Med Biol, 608, pp.1~22 (2007)[DOI]
  14. "Current status of the number of new cancer patients treated by cancer type"[URL]
  15. Carey K, "Hospital length of stay and cost : a multilevel modeling analysis", Health Serv Outcomes Res Methodol, 3, pp.41~56 (2002)[DOI]
  16. 김영훈, "재원일별 진료비 발생양상과 재원일수의 결정요인", 병원경영학회지, 15(2), pp.15~26 (2010), 한국병원경영학회
  17. Lu J, "Breast cancer metastasis : challenges and opportunities", Cancer Res, 69(12), pp.4951~4953 (2009)[DOI]
  18. "2017 Korean National Hospital Discharge In-depth Injury Survey Guidelines"[URL]
  19. Sundararajan V, "New ICD-10 version of the Charlson comorbidity index predicted in-hospital mortality", J Clin Epidemiol, 57(12), pp.1288~1294 (2004)[DOI]
  20. 경민호, "위암환자에서 의무기록과 행정자료를 활용한 Charlson Comorbidity Index의 1년 이내 사망 및 재원일수 예측력 연구", 예방의학회지, 42(2), pp.117~122 (2009), 대한예방의학회
  21. Boakye EA, "Factors associated with head and neck cancer hospitalization cost and length of stay-a national study", Am J Clin Oncol, 42(2), pp.172~178 (2019)[DOI]
  22. 정형찬, "사건연구방법론에서 소표본 문제와 모형의 검정력", Asia-Pacific Journal of Financial Studies, 35(3), pp.107~140 (2006), 한국증권학회
  23. 최성은, "인구고령화와 노인인구 의료급여 진료비 지출과 전망", 재정정책논집, 17(2), pp.3~32 (2015), 한국재정정책학회
  24. Shin YS, "On the appropriate use of health services", Health Welf Forum, 114, pp.91~101 (2006)
  25. 김석영, "의료급여 수급여부에 따른 응급의료서비스 이용 차이", 의료경영학연구, 11(4), pp.35~47 (2017), 경영연구원[DOI]
  26. 이재빈, "허혈성 심장질환 환자의 재원일수 결정요인", 보건정보통계학회지, 45(1), pp.52~59 (2020), 한국보건정보통계학회[DOI]
  27. 김혜숙, "퇴원손상심층조사 자료를 이용한 최근 5년간의 방광암 환자 분석", Journal of The Korean Data Analysis Society, 16(1), pp.447~461 (2014), 한국자료분석학회
  28. 김혜숙, "퇴원손상심층조사 자료를 이용한 최근 7년간의 전립선암 환자분석", Journal of The Korean Data Analysis Society, 17(6), pp.3321~3335 (2015), 한국자료분석학회
  29. 김석환, "의무기록자료를 이용한 중증질환자의 재원일수에 미치는 요인 분석", 한국학교·지역보건교육학회지, 20(2), pp.69~80 (2019), 한국학교·지역보건교육학회[DOI]
  30. "National cancer screening program screening rate"[URL]
  31. Lee YJ, "An study on the inepuality of health care resources distribution affected by regional characteristics", J Crit Soc Welf, 21, pp.49~78 (2005)
  32. 조성현, "종합병원 평균재원일수와 간호사 배치수준의 관계: 1996~2016년 분석", 간호행정학회지, 26(5), pp.521~532 (2020), 간호행정학회[DOI]
  33. 이용재, "건강보험과 의료급여 노인환자의 의료이용량 : 요양기관종별 분석", 한국콘텐츠학회 논문지, 17(4), pp.585~595 (2017), 한국콘텐츠학회[DOI]
  34. Tu F, "Analysis of hospital charges for ischemic stroke in Fukuoka, Japan", Health Policy, 66(3), pp.239~246 (2003)[DOI]
  35. 김선희, "뇌졸중 환자의 결과지표에 영향을 주는 요인: 다변량 회귀분석과 다수준분석 비교", 보건행정학회지, 25(1), pp.31~39 (2015), 한국보건행정학회[DOI]
  36. Chaturvedi S, "Should cerebral ischemic events in cancer patients be considered a manifestation of hypercoagulability?", Stroke, 25(6), pp.1215~1218 (1994)[DOI]
  37. 김성수, "입원암환자의 동반질환에 따른 재원일수의 변이 분석", 보건정보통계학회지, 45(1), pp.80~90 (2020), 한국보건정보통계학회
  38. 박은영, "노년내과와 정형외과의 협진 여부에 따른 노인의 고관절 골절수술 후 합병증 발생 위험 요인분석", Journal of Korean Biological Nursing Science, 18(4), pp.193~202 (2016), 한국기초간호학회

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