Defining near misses: towards a sharpened definition based on empirical data about error handling processes

Soc Sci Med. 2010 May;70(9):1301-8. doi: 10.1016/j.socscimed.2010.01.006. Epub 2010 Feb 12.


Medical errors in health care still occur frequently. Unfortunately, errors cannot be completely prevented and 100% safety can never be achieved. Therefore, in addition to error reduction strategies, health care organisations could also implement strategies that promote timely error detection and correction. Reporting and analysis of so-called near misses - usually defined as incidents without adverse consequences for patients - are necessary to gather information about successful error recovery mechanisms. This study establishes the need for a clearer and more consistent definition of near misses to enable large-scale reporting and analysis in order to obtain such information. Qualitative incident reports and interviews were collected on four units of two Dutch general hospitals. Analysis of the 143 accompanying error handling processes demonstrated that different incident types each provide unique information about error handling. Specifically, error handling processes underlying incidents that did not reach the patient differed significantly from those of incidents that reached the patient, irrespective of harm, because of successful countermeasures that had been taken after error detection. We put forward two possible definitions of near misses and argue that, from a practical point of view, the optimal definition may be contingent on organisational context. Both proposed definitions could yield large-scale reporting of near misses. Subsequent analysis could enable health care organisations to improve the safety and quality of care proactively by (1) eliminating failure factors before real accidents occur, (2) enhancing their ability to intercept errors in time, and (3) improving their safety culture.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Empirical Research
  • Hospital Administration
  • Humans
  • Interviews as Topic
  • Medical Errors / prevention & control*
  • Netherlands
  • Organizational Culture
  • Quality of Health Care
  • Risk Management / methods*
  • Terminology as Topic