Journal of the Korea Academia-Industrial cooperation Society (한국산학기술학회논문지)

The Korea Academia-Industrial cooperation Society (한국산학기술학회)
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A Study on analysis of severity-adjustment length of stay in hospital for community-acquired pneumonia

지역사회획득 폐렴 환자의 중증도 보정 재원일수 분석

  • Received : 2011.01.10
  • Accepted : 2011.03.10
  • Published : 2011.03.31
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Abstract

Our study was carried out to develop the severity-adjustment model for length of stay in hospital for community-acquired pneumonia so that we analysed the factors on the variation in length of stay(LOS). The subjects were 5,353 community-acquired pneumonia inpatients of the Korean National Hospital Discharge In-depth Injury Survey data from 2004 through 2006. The data were analyzed using t-test and ANOVA and the severity-adjustment model was developed using data mining technique. There are differences according to gender, age, type of insurance, type of admission, but there is no difference of whether patients died in hospital. After yielding the standardized value of the difference between crude and expected length of stay, we analysed the variation of length of stay for community-acquired pneumonia. There was variation of LOS in regional differences and insurance type, though there was no variation according whether patients receive their care in their residences. The variation of length of stay controlling the case mix or severity of illness can be explained the factors of provider. This supply factors in LOS variations should be more studied for individual practice style or patient management practices and healthcare resources or environment. We expect that the severity-adjustment model using administrative databases should be more adapted in other diseases in practical.

본 연구의 목적은 지역사회획득 폐렴 입원 환자의 재원일수의 변이를 분석하기 위해 중증도 모형을 개발하였다. 2004~2006년 퇴원손상환자 조사자료 중 지역사회획득 폐렴환자 5,353건을 연구대상으로 하였으며, 재원일수의 차이분석은 t검정, 분산분석을 실시하였고, 중증도 보정 재원일수 예측 모형은 데이터마이닝 기법을 이용하였다. 여자에 비해 남자, 연령이 많을수록, 의료급여, 응급실 경유 환자의 재원일수가 긴 반면, 병원사망 여부에 따라서는 유의한 차이가 없었다. 개발된 의사결정나무 모형을 이용하여 예측 재원일수를 산출하고 표준화한 값을 비교한 결과 타지역 진료여부에 따라서 재원일수의 차이는 없는 반면, 보험유형과 지역별로 재원일수의 변이가 존재하는 것으로 나타났다. 환자 특성과 중증도를 통제하고 나타난 재원일수의 변이는 공급자 요인으로 설명될 수 있는데, 진료행태나 의료자원에 대한 후속 연구가 필요한 것으로 보인다. 본 연구는 행정 데이터를 이용하여 중증도 모형을 개발하고 변이를 확인하였다는 점에서 활용의 효용성을 높이는 데 기여할 것으로 사료된다.

Keywords

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