보건소 정보화시스템의 도입에 영향을 미친 요인

Factors Affecting the Diffusion of Health Center Information System

  • 도영경 (서울대학교 의과대학 의료관리학교실) ;
  • 이중규 (서울대학교 의과대학 의료관리학교실) ;
  • 박기동 (서울대학교 의과대학 의료관리학교실) ;
  • 김창엽 (서울대학교 보건대학원) ;
  • 김용익 (서울대학교 의과대학 의료관리학교실) ;
  • 이진용 (서울대학교 의과대학 의료관리학교실)
  • Do, Young-Gyoung (Department of Health Policy and Management, Seoul National University College of Medicine) ;
  • Lee, Jung-Gyu (Department of Health Policy and Management, Seoul National University College of Medicine) ;
  • Park, Gi-Dong (Department of Health Policy and Management, Seoul National University College of Medicine) ;
  • Kim, Chang-Yup (Graduate School of Public Health, Seoul National University) ;
  • Kim, Yong-Ik (Department of Health Policy and Management, Seoul National University College of Medicine) ;
  • Lee, Jin-Yong (Department of Health Policy and Management, Seoul National University College of Medicine)
  • 발행 : 2003.12.01

초록

Objectives : This study was conducted to review the diffusion process and factors affecting the adoption of the Health Center Information System (HIS). Methods : Data were collected from POSDATA (private company), MOHW, other Ministries and local governments. To specify the date of adoption, supplementary information was collected from 40 health centers. The following three kinds of factors were analyzed. Internal factors included type, size, and innovativeness of health centers. Community factors were composed of population sire, economic status, and level of education. Organizational environmental factors consisted of information score of the municipalities, financial support of the from central government, and the neighborhoodness of innovator health centers. Results : All health centers in the metropolitan cities of Seoul, Gwangju and Jeju adopted the HIS. The laggards were those in the metropolitan cities of Busan (18.8%), Incheon (20.0%) and Daejun (20.0%), and cities with population more than 300,000 (54.8%) and counties with health center hospitals (47.1%). Financially supported rural health centers adopted the HIS more rapidly than those not supported. The factors identified as being statistically significant (p<0.05), from a univariate analysis by Kaplan-Meier method, were: (1) internal factors of the type, size and innovativeness of health centers; (2) community factors of population size and economic status; (3) organizational environmental factors of the central government financial support and the neighborhoodness of innovator health centers. A multivariate analysis, using a Cox proportional hazard method, proved the innovativeness of health centers, central government financial support and the neighborhoodness of innovator health centers, were statistically significant (p<0.05). Conclusions : The innovativeness of health centers, financial support from central government and the neighborhoodness of innovator health centers, rather than community factors related to regional socioeconomic status, affected ffe adoption of the HIS in health centers. Further in-depth studies, modifying the MOHW's strategy to propagate the HIS to the laggard health confers, are recommended.

키워드

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