J Natl Med Assoc
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Anesthesia providers in low- and middle-income countries face many challenges, including poor availability of functioning equipment designed to meet their environmental, organizational, and resource constraints. These are serious global health disparities which threaten access to care and patient safety for those who receive surgical care. In this study, we conducted a simulation-based human factors analysis of the Universal Anaesthesia Machine (UAM®), a device designed to support anesthesia providers in austere medical settings. Our team anticipated the introduction of the UAM® to the two major referral hospitals in Freetown, Sierra Leone. A prior observational study had identified these two hospitals as having environmental conditions consistent with an austere environment: an unstable electrical grid, as well as limited access to compressed oxygen, biomedical support, and consumables. Although the Baltimore simulation environment cannot reproduce all of the challenges present in a resource-constrained environment such as Sierra Leone, the major impediments to standard anesthesia machine functionality and human factors-associated use can be reproduced with the use of high-fidelity simulation. Using anesthesia care providers who have limited UAM® familiarity, this study allowed for the examination of machine-user issues in a controlled environment in preparation for further field studies concerning equipment introduction, training and device deployment in Sierra Leone. The goals of this study were: 1. to assess the usability of the UAM® (machine-user interface, simulated patient use, symbology, etc.) across different provider user groups during simulation of use in scenarios depicting routine use in healthy patients, use in clinically challenging patients and use in environmentally-challenging scenarios in a controlled setting devoid of patient risk, and 2. To gather feedback on available UAM manuals and cognitive aides and UAM usability issues in order to guide development of curricula for training providers on use of the UAM® in the intended austere clinical environments. ⋯ The UAM® design addresses many of the key challenges facing anesthesia providers in resource-constrained settings. The simulation-based human factors evaluation described here successfully identified opportunities for continued refinement of the initial device design as well as issues to be addressed in future curricula and cognitive aides.
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Between 1998 and 2015, the national coronary artery bypass graft surgery (CABG) in-hospital mortality rate fell nearly 45% to just 2.2% of CABG in-patients. By almost any standards, this large decline in the nation's in-hospital mortality for CABG inpatients has been extraordinary. Yet, over this time period, no studies have detailed these notable trends in in-hospital CABG mortality with an emphasis on the differences by gender and racial/ethnicity. The in-hospital CABG treatment period is the approximately 9 day inpatient length-of-stay the patient is completely under the care of hospital and its staff. Our research seeks to fill this research gap with analyses of 18 years of national data of over 5 million CABG inpatient discharges distinguishing gender by six categories of race/ethnicity (Asian, black, Hispanic, white, other known races/ethnicities, and unknown race/ethnicities) to evaluate three broad questions related to in-hospital CABG mortality: 1) What have been the 18-year national trends in CABG surgeries, length-of-stay, mortality, and type of discharge by gender and race/ethnicity? 2) Over time, what have been the in-hospital mortality trends by gender and race-ethnicity? 3) Using multivariate techniques to control for patient characteristics, risk factors and socioeconomic characteristics of the hospital setting and environment, what is the extent of the variations in in-hospital mortality among the 12 groupings of gender and race-ethnicity? ⋯ While considerable progress has been made reducing overall in-hospital CABG mortality over the past 18-years across all gender and racial/ethnic inpatients, significant gaps persist between black males and other racial/ethnic groups.