Evaluating radiotherapy treatment delay using Failure Mode and Effects Analysis (FMEA). (August 2019)

• Record Type: Journal Article
• Authors: Xu, Zhengzheng; Lee, Soyoung; Albani, David; Dobbins, Donald; Ellis, Rodney J.; Biswas, Tithi; Machtay, Mitchell; Podder, Tarun K.
• Is Part Of: Radiotherapy and oncology. Volume 137(2019)
• Page Start: 102
• Page End: 109
• Publication Date: 2019-08
• Subjects: Radiotherapy -- Treatment delay -- FMEA; Oncology -- Periodicals; Radiotherapy -- Periodicals; Tumors -- Periodicals; Medical Oncology -- Periodicals; Neoplasms -- radiotherapy -- Periodicals; Radiotherapy -- Periodicals; Radiothérapie -- Périodiques; Cancérologie -- Périodiques; Tumeurs -- Périodiques; Electronic journals; 616.9940642
• DOI: 10.1016/j.radonc.2019.04.016
• Languages: English
• ISSNs: 0167-8140

Abstract

Highlights: FMs in "Tumor volume, Prescription & dose objectives" and "Treatment planning" had longer delay. FMs in "CT simulation" and "Treatment planning" had high RPN indicating high improvement priority. "Tumor volume, Prescription & Objectives" and "Treatment planning" had more FMs of higher RPNSE-EE . "Delay in providing contours for treatment planning" had high RPN and RPNSE-EE . Abstract: Purpose: This study identified and evaluated the factors that are responsible for delay in the clinical workflow of radiation therapy, starting from the CT simulation (CT-Sim) to the first fraction of treatment delivery using the Failure Mode and Effects Analysis (FMEA) methodology. Materials and methods: A total of 1106 patient cases were retrospectively analyzed using FMEA methodology. For each failure mode (FM), the following factors were rated and discussed by the group: occurrence (O), severity (S), detectability (D), and methods of improvement or mitigation. In addition, two new factors, namely social effect (SE) and economic effect (EE), were introduced to evaluate the impact of FM on the department or hospital. Risk priority number (RPN) and the product of RPN, SE, and EE (i.e. RPNSE-EE ) were calculated for each FM. Results: Average delay caused by identified FM was 8 days while 76% of the FMs resulted in delay of less than 5 days. The RPN of all the FMs ranged from 4 to 60 with an average value of 18. "Tumor volume, prescription and objective" had the highest average RPN of 23. The majority of FMs with high RPN were identified in "CT-Sim" (RPN: 21.5 ± 11.1; RPNSE-EE : 97.0 ± 46.4) and "treatment planning" (RPN: 20.1 ± 8.1, RPNSE-EE : 152.9 ± 76.5) stages. Conclusion: The FMEA enabled identification of the factors that caused delay in the pre-treatment process of radiation therapy. "CT-Sim" and "treatment planning" stages had more FMs with high RPN values which have higher priority for future improvement. Two new factors, SE and EE, were introduced and appeared to be valuable in evaluating the impact of FMs on radiation oncology department or hospital in general.