Literature DB >> 22713835

Modern palliative radiation treatment: do complexity and workload contribute to medical errors?

Neil D'Souza1, Lori Holden, Sheila Robson, Kathy Mah, Lisa Di Prospero, C Shun Wong, Edward Chow, Jacqueline Spayne.   

Abstract

PURPOSE: To examine whether treatment workload and complexity associated with palliative radiation therapy contribute to medical errors. METHODS AND MATERIALS: In the setting of a large academic health sciences center, patient scheduling and record and verification systems were used to identify patients starting radiation therapy. All records of radiation treatment courses delivered during a 3-month period were retrieved and divided into radical and palliative intent. "Same day consultation, planning and treatment" was used as a proxy for workload and "previous treatment" and "multiple sites" as surrogates for complexity. In addition, all planning and treatment discrepancies (errors and "near-misses") recorded during the same time frame were reviewed and analyzed.
RESULTS: There were 365 new patients treated with 485 courses of palliative radiation therapy. Of those patients, 128 (35%) were same-day consultation, simulation, and treatment patients; 166 (45%) patients had previous treatment; and 94 (26%) patients had treatment to multiple sites. Four near-misses and 4 errors occurred during the audit period, giving an error per course rate of 0.82%. In comparison, there were 10 near-misses and 5 errors associated with 1100 courses of radical treatment during the audit period. This translated into an error rate of 0.45% per course. An association was found between workload and complexity and increased palliative therapy error rates.
CONCLUSIONS: Increased complexity and workload may have an impact on palliative radiation treatment discrepancies. This information may help guide the necessary recommendations for process improvement for patients who require palliative radiation therapy.
Copyright © 2012 Elsevier Inc. All rights reserved.

Entities:  

Mesh:

Year:  2012        PMID: 22713835     DOI: 10.1016/j.ijrobp.2012.02.026

Source DB:  PubMed          Journal:  Int J Radiat Oncol Biol Phys        ISSN: 0360-3016            Impact factor:   7.038


  6 in total

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

Authors:  M Saiful Huq; Benedick A Fraass; Peter B Dunscombe; John P Gibbons; Geoffrey S Ibbott; Arno J Mundt; Sasa Mutic; Jatinder R Palta; Frank Rath; Bruce R Thomadsen; Jeffrey F Williamson; Ellen D Yorke
Journal:  Med Phys       Date:  2016-07       Impact factor: 4.071

2.  Genetic code evolution reveals the neutral emergence of mutational robustness, and information as an evolutionary constraint.

Authors:  Steven E Massey
Journal:  Life (Basel)       Date:  2015-04-24

Review 3.  The Role of Conventionally Fractionated Radiotherapy and Stereotactic Radiotherapy in the Treatment of Carcinoid Tumors and Large-Cell Neuroendocrine Cancer of the Lung.

Authors:  Mateusz Bilski; Paulina Mertowska; Sebastian Mertowski; Marcin Sawicki; Anna Hymos; Paulina Niedźwiedzka-Rystwej; Ewelina Grywalska
Journal:  Cancers (Basel)       Date:  2021-12-30       Impact factor: 6.639

4.  Evaluating incident learning systems and safety culture in two radiation oncology departments.

Authors:  Laura Adamson; Rachael Beldham-Collins; Jonathan Sykes; David Thwaites
Journal:  J Med Radiat Sci       Date:  2021-12-09

5.  Patterns of practice of adaptive re-planning for anatomic variances during cone-beam CT guided radiotherapy.

Authors:  Michal Stankiewicz; Winnie Li; Tara Rosewall; Tony Tadic; Colleen Dickie; Michael Velec
Journal:  Tech Innov Patient Support Radiat Oncol       Date:  2019-12-16

6.  Prescribing errors in electronic prescriptions for outpatients intercepted by pharmacists and the impact of prescribing workload on error rate in a Chinese tertiary-care women and children's hospital.

Authors:  Jian-Hui Yang; Yu-Fang Liao; Wu-Bin Lin; Wen Wu
Journal:  BMC Health Serv Res       Date:  2019-12-30       Impact factor: 2.655

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.