• DocumentCode
    694081
  • Title

    Estimating reporting culture and its link to safety performance by applying hemodialysis error taxonomy

  • Author

    Gu, Xingfa ; Itoh, Kenji

  • Author_Institution
    Dept. of Ind. Eng. & Manage., Tokyo Inst. of Technol., Tokyo, Japan
  • fYear
    2013
  • fDate
    10-13 Dec. 2013
  • Firstpage
    497
  • Lastpage
    501
  • Abstract
    This paper reports a hemodialysis error taxonomy system for not only providing a framework to analyze characteristics of hemodialysis incidents, but also estimating safety status in a dialysis organization. The error taxonomy system was developed by adapting a common health care error taxonomy system to hemodialysis situations. Based on the results of its application to 1,909 incident reports collecting from two dialysis facilities, we obtained a plausible link between reporting culture - which was estimated by average descriptive depth - and safety performance, for which we introduced two indices, i.e., rate of near miss reporting and rate of adverse event reporting. Thus, the error taxonomy system for hemodialysis events proposed in this paper well demonstrated its ability for predicting safety status in a specific dialysis organization.
  • Keywords
    health care; safety; dialysis organization; health care error taxonomy system; hemodialysis error taxonomy; hemodialysis events; hemodialysis incidents; safety performance; Accidents; Hospitals; Measurement uncertainty; Organizations; Safety; Taxonomy; Error taxonomy; hemodialysis; incident report; reporting culture; safety performance;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Engineering and Engineering Management (IEEM), 2013 IEEE International Conference on
  • Conference_Location
    Bangkok
  • Type

    conf

  • DOI
    10.1109/IEEM.2013.6962461
  • Filename
    6962461