Literature DB >> 9469340

Error rates in clinical radiotherapy.

R M Macklis1, T Meier, M S Weinhous.   

Abstract

PURPOSE: Error rates in clinical oncology are undergoing increasing scrutiny. The purpose of this study was to understand error frequency, error patterns, underlying causal links, consequences, and possible prevention strategies in clinical radiotherapy. PATIENTS AND METHODS: Treatment information, self-reported error documentation, and retrospective analyses of electronic treatment verification transcripts for 1,925 consecutive patients treated with a total of 93,332 individual radiotherapy fields were reviewed and analyzed.
RESULTS: A total of 59 separate errors that affected 168 individual treatment fields were detected, which yielded a crude radiation delivery error rate of 0.18%. All 59 errors were judged to be level I (negligible chance of adverse medical outcome) with the most common error category being a minor treatment field block misplacement. A comprehensive quality assurance program and an electronic record-and-verify linear accelerator interlock system seem to have prevented the occurrence of many additional errors. However, nine of the 59 errors were directly related to the use of this system and generally involved the transposition of similar numbers within series of treatment coordinate data-sets. Overall, radiotherapy error rates favorably compare with reported error rates for pharmaceutical administration in large tertiary care hospitals.
CONCLUSION: When modern automated error-minimization methods are used along with nonpunitive error reporting systems, clinical radiotherapy seems to be highly safe. Formal error analysis studies may allow the rational design of prevention strategies that are attuned to the frequency, seriousness, and antecedent causes of many classes of potential radiotherapy errors.

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Year:  1998        PMID: 9469340     DOI: 10.1200/JCO.1998.16.2.551

Source DB:  PubMed          Journal:  J Clin Oncol        ISSN: 0732-183X            Impact factor:   44.544


  15 in total

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6.  Reducing the frequency of errors in medicine using information technology.

Authors:  D W Bates; M Cohen; L L Leape; J M Overhage; M M Shabot; T Sheridan
Journal:  J Am Med Inform Assoc       Date:  2001 Jul-Aug       Impact factor: 4.497

7.  The report of Task Group 100 of the AAPM: Application of risk analysis methods to radiation therapy quality management.

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Journal:  Med Phys       Date:  2016-07       Impact factor: 4.071

8.  Nature of Medical Malpractice Claims Against Radiation Oncologists.

Authors:  Deborah Marshall; Kathryn Tringale; Michael Connor; Rinaa Punglia; Abram Recht; Jona Hattangadi-Gluth
Journal:  Int J Radiat Oncol Biol Phys       Date:  2017-01-16       Impact factor: 7.038

9.  Evaluation of safety in a radiation oncology setting using failure mode and effects analysis.

Authors:  Eric C Ford; Ray Gaudette; Lee Myers; Bruce Vanderver; Lilly Engineer; Richard Zellars; Danny Y Song; John Wong; Theodore L Deweese
Journal:  Int J Radiat Oncol Biol Phys       Date:  2009-05-04       Impact factor: 7.038

10.  Application of an incident taxonomy for radiation therapy: Analysis of five years of data from three integrated cancer centres.

Authors:  Stuart Greenham; Stephen Manley; Kirsty Turnbull; Matthew Hoffmann; Amara Fonseca; Justin Westhuyzen; Andrew Last; Noel J Aherne; Thomas P Shakespeare
Journal:  Rep Pract Oncol Radiother       Date:  2018-05-10
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