Application of root cause analysis on malpractice claim files related to diagnostic failures

19Citations
Citations of this article
35Readers
Mendeley users who have this article in their library.

Abstract

Background: Large numbers of claim files present a potentially valuable source of information to get insight on possibilities for prevention of claims. Therefore, the feasibility of root cause analyses on incidents leading to liability claims at The Netherlands' largest medical liability insurer was assessed. Methods: Feasibility was defined by validity, reliability and applicability. Claim files from diagnostic errors in emergency departments of Dutch hospitals were selected. All closed and settled claim files from the year 2001 and 2002 were used. Results: Fifty incidents occurring at 31 emergency departments were found in 47 files. 114 root causes were found, on average 2.3 per incident. 78% of theincidents were related to missed fractures, luxations or tendon lesions. Zero technical, 29% organisational, 66.7% human-related and 4.4% patient-related factor errors were found. Inter-rater agreement for classification of root causes was good (k=0.78). Preventive measures following from Prevention and Recovery Information System for Monitoring and Analysis (PRISMA) classificationeaction matrix were improving completion of available sources of information, improving structures of communication and training staff to prevent failures due to the wrong implementation of tasks or due to errors in reasoning. Discussion Validity of the root cause profile of diagnostic claims is considered moderate because of a lack of information about technical and organisational causes of errors. Therefore, the root cause profile was incomplete for organisational factors in comparison with other studies. However, with regard to the diagnostic reasoning process, the profile was stable. The feasibility of PRISMA for retrospective analyses of closed claims may be improved if system-based reasoning by the liability insurer and hospital staff is enhanced.

Cite

CITATION STYLE

APA

Van Noord, I., Eikens, M. P., Hamersma, A. M., & De Bruijne, M. C. (2010). Application of root cause analysis on malpractice claim files related to diagnostic failures. Quality and Safety in Health Care, 19(6). https://doi.org/10.1136/qshc.2008.029801

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free