Literature DB >> 21857240

Evaluation of time- and cost-saving modifications of HFMEA: an experimental approach in radiotherapy.

Annemie Vlayen1.   

Abstract

OBJECTIVE: : This study aimed to evaluate different shortcuts of Healthcare Failure Mode and Effects Analysis (HFMEA) in a radiotherapy setting.
DESIGN: : A 2 × 2 study design was set up, in which 4 similar groups analyzed separately the possible risks of the same process by using different versions of HFMEA.
SETTING: : In the Maastricht Radiation Oncology clinic, a radiotherapy institute in the Netherlands, treatment of cancer patients is organized within 3 different units, each focusing on a specific area (thorax, abdomen, and neck-head). The institute plans to treat all radiation areas in one generalized unit (Linac-pool). PARTICIPANTS: : All 4 teams were composed of 3 radiation technologists (1 from each working unit), 1 manager radiation technologist, and 1 facilitator.
INTERVENTIONS: : Prospective risk analyses were completed in parallel within 1 month. MAIN OUTCOME MEASURES: : Time investment and cost data on the different steps of the HFMEAs were registered from the organizations' perspective. Each team suggested a number of corrective actions for the Linac-pool. The quality and feasibility of the proposed actions were assessed by an expert panel (managers and safety staff).
RESULTS: : The HFMEA analyses resulted in direct costs varying from 1028.6 to 1701.6 euros. In total, the expert panel assessed 86 corrective actions, of which 43 (50%) were relevant to implement before the start of the Linac-pool. Many of these actions related to the compliance, control, and education of standard operating procedures in daily practice of radiotherapy.
CONCLUSIONS: : On the basis of the results of this case study, it seems feasible to develop less time- and cost-consuming versions of HFMEA, which would increase even more the added value of prospective risk analysis tools for health care organizations.

Entities:  

Mesh:

Year:  2011        PMID: 21857240     DOI: 10.1097/PTS.0b013e31822b07ee

Source DB:  PubMed          Journal:  J Patient Saf        ISSN: 1549-8417            Impact factor:   2.844


  1 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

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.