Objective:To investigate factors that may cause radiotherapy errors during radiation treatments using quality management tools.Methods:The Delphi method was used to sort out the factors that cause radiotherapy errors ...Objective:To investigate factors that may cause radiotherapy errors during radiation treatments using quality management tools.Methods:The Delphi method was used to sort out the factors that cause radiotherapy errors which were then clasified by the Kaiser model.Results:In the first round of brainstorming,33 types of influencing factors were put forward,which were further reduced to 19 through the Delphi method.The recruited factors were,then,divided into four types by the Kaiser model,radiotherapyspecific factors with the mean weight of 49.49%,patient-related factors with the mean weight of 42.27%,therapist-related factors with the mean weight of 35.64% and hardware-related factors with the mean weight of 19.72%.Conclusion:Delphi plus Kaiser may be a promising method for predicting factors that may cause radiotherapy errors,which is worthy of further research.展开更多
基金supported by grants from Science and Technology Department of Sichuan Province(No.22ZDYF2820,No.2019 YFS0336)Chengdu Science and Technology Bureau(No.2021-YF05-02107-SN,No.2019-YF05-00425-SN).
文摘Objective:To investigate factors that may cause radiotherapy errors during radiation treatments using quality management tools.Methods:The Delphi method was used to sort out the factors that cause radiotherapy errors which were then clasified by the Kaiser model.Results:In the first round of brainstorming,33 types of influencing factors were put forward,which were further reduced to 19 through the Delphi method.The recruited factors were,then,divided into four types by the Kaiser model,radiotherapyspecific factors with the mean weight of 49.49%,patient-related factors with the mean weight of 42.27%,therapist-related factors with the mean weight of 35.64% and hardware-related factors with the mean weight of 19.72%.Conclusion:Delphi plus Kaiser may be a promising method for predicting factors that may cause radiotherapy errors,which is worthy of further research.