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AN ERROR TAXONOMY SYSTEM FOR ANALYSIS OF HAEMODIALYSIS INCIDENTS
Author(s) -
Gu Xiuzhu,
Itoh Kenji,
Suzuki Satoshi
Publication year - 2014
Publication title -
journal of renal care
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.381
H-Index - 27
eISSN - 1755-6686
pISSN - 1755-6678
DOI - 10.1111/jorc.12081
Subject(s) - medicine , intensive care medicine
SUMMARY Objectives This paper describes the development of a haemodialysis error taxonomy system for analysing incidents and predicting the safety status of a dialysis organisation. Methods The error taxonomy system was developed by adapting an error taxonomy system which assumed no specific specialty to haemodialysis situations. Its application was conducted with 1,909 incident reports collected from two dialysis facilities in Japan. Results Over 70% of haemodialysis incidents were reported as problems or complications related to dialyser, circuit, medication and setting of dialysis condition. Approximately 70% of errors took place immediately before and after the four hours of haemodialysis therapy. Error types most frequently made in the dialysis unit were omission and qualitative errors. Failures or complications classified to staff human factors, communication, task and organisational factors were found in most dialysis incidents. Device/equipment/materials, medicine and clinical documents were most likely to be involved in errors. Haemodialysis nurses were involved in more incidents related to medicine and documents, whereas dialysis technologists made more errors with device/equipment/materials. Conclusions This error taxonomy system is able to investigate incidents and adverse events occurring in the dialysis setting but is also able to estimate safety‐related status of an organisation, such as reporting culture.