Rate of radiation therapy events in a large academic institution

J Am Coll Radiol. 2013 Jun;10(6):452-5. doi: 10.1016/j.jacr.2012.12.010.

Abstract

Purpose: The goals of this study were to determine the rate of radiation therapy patient events at a large academic institution and to evaluate temporal trends in this rate using statistical process control tools.

Methods: An incident reporting system was used to prospectively collect information on radiation therapy patient events and near misses or good catches, using paper-based reports through December 2010 and an online electronic reporting system from January 2011 onward. Patient events were classified into 3 categories on the basis of their severity. The rate of these events from January 2008 to December 2011 was determined. p charts were used to evaluate trends over time.

Results: There were 188 radiation therapy events in the 4-year period, of which 38 were level I or II (more severe) events and 150 were level III (less severe) events. During this 4-year period, a total of 28,488 new patients were treated, and a total of 618,461 radiation fractions were delivered. The rate of radiation therapy events was 0.66% per patient and 0.03% per radiation fraction. There were 358 near misses and good catches in the 4-year period. The p charts indicated that there were no significant changes in the rate of radiation therapy events over time.

Conclusions: The rate of radiation therapy events was very low and remained stable over a 4-year period. In the absence of a national reporting system, single-institution reports can provide valuable information on radiotherapy patient event rates and can augment quality improvement efforts.

MeSH terms

  • Academic Medical Centers / statistics & numerical data*
  • Humans
  • Incidence
  • Mandatory Reporting
  • Medical Errors / statistics & numerical data*
  • Neoplasms / epidemiology*
  • Neoplasms / radiotherapy*
  • Radiation Injuries / epidemiology*
  • Radiotherapy / statistics & numerical data*
  • Risk Factors
  • Risk Management / statistics & numerical data*
  • Texas / epidemiology