Qinfeng Liu1, Weibin Zhai2, Tao Wang3, Enke Zhang1
1Medical Equipment Management Department, Shaanxi Provincial People 's Hospital, Xi’an, Shaanxi 710068, China
2Information Management Department, Shaanxi Provincial People 's Hospital, Xi’an, Shaanxi 710068, China
3Department of Medical Imaging, Hospital of Stomatology, Xi’an Jiaotong University, Xi’an, Shaanxi 710068, China
Objective To explore the application value of FMEA risk model in the management of transport equipment in the intra-hospital transport of critical patients in EICU. Methods FMEA risk model was used to analyze the failure modes related to transport equipment management during the intra-hospital transport of critical patients in EICU. According to the RPN values, 6 failure modes that must be intervened were selected, and corresponding improvement measures were formulated. The management effects before and after the implementation of FMEA risk management improvement measures were compared. Results Through the implementation of FMEA risk model management measures, the incidence that equipment was not fully charged, the incidence that equipment failed to alarm and the incidence that oxygen cylinders were insufficient, were significantly decreased (c2=11.971, c2=22.900, c2=12.180; P<0.05). At the same time, the incidence of pressure ulcers related to transport medical equipment of critical patients in EICU also decreased significantly (c2=11.966; P<0.05). Conclusions The use of FMEA risk model management measures to manage the transport equipment in the process of intra-hospital transport can effectively reduce the incidence of near-miss events related to transport medical equipment and the incidence of pressure ulcers related to transport medical equipment in EICU. FMEA risk model has great application value in the management of transport equipment during the intra-hospital transport of critical patients in EICU. This management model is suitable for promotion and application in the management of transport equipment.
FMEA; Failure mode; Near-miss event; Pressure ulcer
Qinfeng Liu, Weibin Zhai, Tao Wang, Enke Zhang. Clinical Research on the Effect of FMEA Risk Model in Improving the Management of Medical Equipment during Intra-hospital Transport of Critical Patients in EICU. International Journal of Frontiers in Medicine (2022), Vol. 4, Issue 10: 6-11. https://doi.org/10.25236/IJFM.2022.041002.
 Alizadeh Sharafi Rahimeh, Ghahramanian Akram, Sheikhalipour Zahra et al. Improving the safety and quality of the intra-hospital transport of critically ill patients. [J]. Nurs Crit Care, 2021, 26: 244-252.
 Jia Liu, Wang Hongliang, Gao Yang et al. High incidence of adverse events during intra-hospital transport of critically ill patients and new related risk factors: a prospective, multicenter study in China. [J]. Crit Care, 2016, 20: 12.
 Brunsveld-Reinders Anja H, Arbous M Sesmu, Kuiper Sander G et al. A comprehensive method to develop a checklist to increase safety of intra-hospital transport of critically ill patients. [J]. Crit Care, 2015, 19: 214.
 Venkategowda Pradeep M, Rao Surath M, Mutkule Dnyaneshwar P et al. Unexpected events occurring during the intra-hospital transport of critically ill ICU patients. [J]. Indian J Crit Care Med, 2014, 18: 354-7.
 Subriadi Apol Pribadi, Najwa Nina Fadilah, The consistency analysis of failure mode and effect analysis (FMEA) in information technology risk assessment. [J]. Heliyon, 2020, 6: e03161.
 Anjalee J A L, Rutter V, Samaranayake N R, Application of failure mode and effects analysis (FMEA) to improve medication safety in the dispensing process - a study at a teaching hospital, Sri Lanka. [J]. BMC Public Health, 2021, 21: 1430.
 La Russa Raffaele, Fazio Valentina, Ferrara Michela et al. Proactive Risk Assessment Through Failure Mode and Effect Analysis (FMEA) for Haemodialysis Facilities: A Pilot Project. [J]. Front Public Health, 2022, 10: 823680.
 Van Hoof Viviane, Bench Suzanne, Soto Antonio Buño et al. Failure Mode and Effects Analysis (FMEA) at the preanalytical phase for POCT blood gas analysis: proposal for a shared proactive risk analysis model. [J]. Clin Chem Lab Med, 2022, 60: 1186-1201.
 Ahmed Shahbaz, Bossenberger Todd, Nalichowski Adrian et al. A bi-institutional multi-disciplinary failure mode and effects analysis (FMEA) for a Co-60 based total body irradiation technique. [J]. Radiat Oncol, 2021, 16: 224.
 Rudolphi Diane M, Madiraca Jessica, Wheeler Erlinda C, Medical-Surgical Clinical Student Error and Near-Miss Event Reporting. [J]. Nurs Educ Perspect, 2019, 40: 102-104.
 Maharjan Nashna, Tuladhar Heera, Malla Kasturi et al. Maternal Near Miss Analysis in Three Hospitals of Nepal: An Assessment Using Three Delays Model. [J]. J Nepal Health Res Counc, 2021, 19: 264-269.