Classification and consequences of errors in otolaryngology

Laryngoscope. 2004 Aug;114(8):1322-35. doi: 10.1097/00005537-200408000-00003.


Objective: To develop a preliminary classification system for errors in otolaryngology.

Methods: A retrospective, anonymous survey was distributed to 2,500 members of the American Academy of Otolaryngology-Head and Neck Surgery (AAO-HNS). Respondents were asked whether an error had occurred in their practice in the last 6 months, and if so, to describe the error, its consequences, and any corrective action taken.

Results: There were 466 (18.6%) responses. Two hundred ten (45% of respondents) otolaryngologists reported 216 errors. A classification system for errors in otolaryngology was developed. Errors were classified as related to history and physical (1.4%), differential or final diagnosis (1.4%), testing (10.4%), surgical planning (9.9%), wrong-site surgery (6.1%), anesthesia-related (3.3%), wrong drug/dilution on the surgical field (3.8%), technical (19.3%), retained foreign body (0.9%), equipment-related (9.4%), postoperative care (8.5%), medical management (13.7%), nursing/ancillary (0.5%), administrative (6.6%), communication (3.8%), and miscellaneous (0.9%). There were 78 cases of major morbidity and 9 deaths. If these data are representative, there may be more than 2,600 episodes of major morbidity and more than 165 deaths related to medical error in otolaryngology patients annually.

Conclusions: Human error in otolaryngology occurs in all practice components, including diagnostic, treatment, surgical, communication, and administrative. Types of errors reported by otolaryngologists differ from those reported by other specialists. Error classification systems may need to reflect each specialty's realm of practice. Errors in otolaryngology cause appreciable morbidity and mortality. Quantitative study of errors and the development of targeted prevention and amelioration strategies should be a high priority.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adolescent
  • Adult
  • Aged
  • Aged, 80 and over
  • Child
  • Child, Preschool
  • Data Collection
  • Diagnostic Errors / statistics & numerical data
  • Female
  • Humans
  • Infant
  • Male
  • Medical Errors / classification
  • Medical Errors / statistics & numerical data*
  • Medication Errors / statistics & numerical data
  • Middle Aged
  • Otolaryngology / statistics & numerical data*
  • Otorhinolaryngologic Surgical Procedures / statistics & numerical data
  • United States