The Epidemiology of Delays in a Teaching Hospital

부적절 재원의 이유

  • Kim, Yoon (Department of Health Policy and Management College of Medicine, Seoul National University) ;
  • Lee, Kun-Sei (Department of Health Policy and Management College of Medicine, Seoul National University) ;
  • Kim, Chang-Yup (Department of Health Policy and Management College of Medicine, Seoul National University) ;
  • Kim, Yong-Ik (Department of Health Policy and Management College of Medicine, Seoul National University) ;
  • Shin, Young-Soo (Department of Health Policy and Management College of Medicine, Seoul National University) ;
  • Lee, Sang-Il (Department of Preventive Medicine, College of Medicine, University of Ulsan)
  • 김윤 (서울대학교 의과대학 의료관리학교실) ;
  • 이건세 (서울대학교 의과대학 의료관리학교실) ;
  • 김창엽 (서울대학교 의과대학 의료관리학교실) ;
  • 김용익 (서울대학교 의과대학 의료관리학교실) ;
  • 신영수 (서울대학교 의과대학 의료관리학교실) ;
  • 이상일 (울산대학교 의과대학 예방의학교실)
  • Published : 1993.12.01

Abstract

This study aims to describe the causes of medically unnecessary hospital stay at a teaching tertiary hospital, using modified version of Delay Tool in which the causes of delay are divided into slx major categories : delay related to test scheduling, test results, surgery, medical staff, patient/family, and administration. For the analysis of hospital stay, 6,479 inpatient-days were reviewed in two medical and four surgical departments for one month. Initially inappropriate hospital stays were identified using Appropriateness Evaluation Protocol (AEP), and causes of delay listed in Delay Tool were assigned to each of them. In both medical and surgical services, the most important cause of delay was related to medical staffs, ranging from 3.6% to 51.6% of total inpatient days. Next important category was delay related to test scheduling in medical services ($4.7{\sim}9.2%$), and delay related to surgery in surgical services ($7.3{\sim}15.0%$). Among subcategories of delay related to medical staffs, delay due to conservative care was the most important cause of inappropriate hospital stay ($2.9{\sim}6.4%$). Each clinical departments had different distribution among delay categories, which could not be fully justified by their clinical charateristics. The Delay Tool would be helpful in exploring factors related to the inefficient use of hospital beds. As a measurement tool of inappropriate hospital stay, however, the Delay Tool should be refined in the definitions of categories and its contents.

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