Background: Doffing protocols for personal protective equipment (PPE) are critical for keeping healthcare workers (HCWs) safe during care of patients with Ebola virus disease. We assessed the relationship between errors and self-contamination during doffing. Methods: Eleven HCWs experienced with doffing Ebola-level PPE participated in simulations in which HCWs donned PPE marked with surrogate viruses (ɸ6 and MS2), completed a clinical task, and were assessed for contamination after doffing. Simulations were video recorded, and a failure modes and effects analysis and fault tree analyses were performed to identify errors during doffing, quantify their risk (risk index), and predict contamination data. Results: Fifty-one types of errors were identified, many having the potential to spread contamination. Hand hygiene and removing the powered air purifying respirator (PAPR) hood had the highest total risk indexes (111 and 70, respectively) and number of types of errors (9 and 13, respectively). ɸ6 was detected on 10% of scrubs and the fault tree predicted a 10.4% contamination rate, likely occurring when the PAPR hood inadvertently contacted scrubs during removal. MS2 was detected on 10% of hands, 20% of scrubs, and 70% of inner gloves and the predicted rates were 7.3%, 19.4%, 73.4%, respectively. Fault trees for MS2 and ɸ6 contamination suggested similar pathways. Conclusions: Ebola-level PPE can both protect and put HCWs at risk for self-contamination throughout the doffing process, even among experienced HCWs doffing with a trained observer. Human factors methodologies can identify error-prone steps, delineate the relationship between errors and self-contamination, and suggest remediation strategies.
Background: Doffing protocols for personal protective equipment (PPE) are critical for keeping healthcare workers (HCWs) safe during care of patients with Ebola virus disease. We assessed the relationship between errors and self-contamination during doffing. Methods: Eleven HCWs experienced with doffing Ebola-level PPE participated in simulations in which HCWs donned PPE marked with surrogate viruses (ɸ6 and MS2), completed a clinical task, and were assessed for contamination after doffing. Simulations were video recorded, and a failure modes and effects analysis and fault tree analyses were performed to identify errors during doffing, quantify their risk (risk index), and predict contamination data. Results: Fifty-one types of errors were identified, many having the potential to spread contamination. Hand hygiene and removing the powered air purifying respirator (PAPR) hood had the highest total risk indexes (111 and 70, respectively) and number of types of errors (9 and 13, respectively). ɸ6 was detected on 10% of scrubs and the fault tree predicted a 10.4% contamination rate, likely occurring when the PAPR hood inadvertently contacted scrubs during removal. MS2 was detected on 10% of hands, 20% of scrubs, and 70% of inner gloves and the predicted rates were 7.3%, 19.4%, 73.4%, respectively. Fault trees for MS2 and ɸ6 contamination suggested similar pathways. Conclusions: Ebola-level PPE can both protect and put HCWs at risk for self-contamination throughout the doffing process, even among experienced HCWs doffing with a trained observer. Human factors methodologies can identify error-prone steps, delineate the relationship between errors and self-contamination, and suggest remediation strategies.
Authors: Mia Edgar; Saranya A Selvaraj; Karen E Lee; Yohama Caraballo-Arias; Mason Harrell; Alfonso J Rodriguez-Morales Journal: Infez Med Date: 2022-06-01
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Authors: Jennifer Andonian; Sadaf Kazi; Jennifer Therkorn; Lauren Benishek; Carrie Billman; Margaret Schiffhauer; Elaine Nowakowski; Patience Osei; Ayse P Gurses; Yea-Jen Hsu; David Drewry; Ellen R Forsyth; Arjun Vignesh; Ifeoluwa Oresanwo; Brian T Garibaldi; Kaitlin Rainwater-Lovett; Polly Trexler; Lisa L Maragakis Journal: Clin Infect Dis Date: 2019-09-13 Impact factor: 9.079
Authors: Jos H Verbeek; Blair Rajamaki; Sharea Ijaz; Riitta Sauni; Elaine Toomey; Bronagh Blackwood; Christina Tikka; Jani H Ruotsalainen; F Selcen Kilinc Balci Journal: Cochrane Database Syst Rev Date: 2020-04-15
Authors: Michael A Pritchett; Catherine L Oberg; Adam Belanger; Jose De Cardenas; George Cheng; Gustavo Cumbo Nacheli; Carlos Franco-Paredes; Jaspal Singh; Jennifer Toth; Michael Zgoda; Erik Folch Journal: J Thorac Dis Date: 2020-05 Impact factor: 3.005