Medical device use errors, such as instrument connection errors made with electrosurgical units (ESUs), can lead to adverse events. Current device acquisition processes at health care facilities do not typically include a proactive evaluation of use-error risk before device purchase. We conducted an evaluation to identify ESU user interface design features that can help prevent or mitigate instrument connection errors during clinical care. Thirty-six current ESU users participated in the evaluation. We used a randomized crossover design in which each participant used two ESU models in a simulated OR scenario. We compared participants' instrument connection accuracy, efficiency, and subjective feedback regarding the user interface design across the two ESU models. Overall, we found that the ESU model that incorporated more user interface design principles resulted in better performance and increased acceptance from users. Based on the results, we designed a decision-support tool to assess the risk of instrument connection errors before ESU purchase. 3,4 Human factors evaluations involve examining the interactions between people and devices, including how someone perceives and interprets information from the device and operates the device. Human factors evaluation results can help create devices that are easier to use, which improves user understanding of operating the device and reduces the risk of use errors and adverse events. 5Human factors evaluation results can also inform device purchasing decisions. 6 For example, an HF evaluation of critical care ventilators found that one ventilator model demonstrated higher levels of safety and user experience compared with the other three models evaluated. The results of this evaluation can support ventilator purchasing decisions.7 Another HF evaluation of two automated chest compression devices found that the interruption in chest compressions when applying either device to the patient was notably longer than the maximum interruption time recommended by the American Heart Association. The results of this evaluation prevented the purchase of an automated chest compression device at the authors' health care facility. 8 These HF evaluations provided critical data to inform purchasing decisions, but it is difficult to generalize the results to device models other than those evaluated.

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Electrosurgical units (ESUs) developed by different manufacturers use varying terminology and icons to label the same components, which can result in confusion among users and the potential for erroneous ESU configuration. The objective of the current study was to identify nurse-preferred terms and icons for labeling ESU components. A total of 165 operating room (OR) nurses from Veterans Health Administration facilities across the United States were surveyed regarding terms and icons found on 25 ESU models. The results showed that 81% of OR nurses preferred ESUs that included both a term and an icon for labeling each component. In addition, greater consensus existed among OR nurses regarding preferred terms, rather than preferred icons, for representing each component. These findings on OR nurses' preferred terms and icons can be leveraged to improve ESU labeling practices and inform the development of a standardized, user-centered set of labels for ESU components.

Electronic Consults (EC) offer enhanced access to endocrinologists for patients with type 2 diabetes mellitus (T2DM). The effects of EC on costs of care and glycemic control compared to Face-to-Face (F2F) visits are unknown. A retrospective chart review was conducted for Veterans who received EC (n=440) or F2F (n=397) care for T2DM through the VA Pittsburgh Healthcare System (VAPHS) from 2010 to 2015. Data on demographics, rurality, days to consult completion, and percent (%) A1C at baseline and post-consult at 3-6, and 12 months were collected. A web-based tool calculated the average round-trip distance in miles and travel time in hours from patient’s residential zip code to VAPHS. Annual travel costs for recommended 3 visits per year were estimated at a reimbursement rate of $0.415 per mile. Continuous measures (mean ± standard deviation) were compared using Wilcoxon rank-sum tests. Categorical measures (sex, rurality) were presented as percentages and compared between groups by time point using chi-square tests. Veterans who received EC were predominantly male (98.4%), younger (64.2±8.5 years) and rural (15.8%) than those who received F2F care (95.3% male, p=0.01; 68.1±8.7 years, p<0.0001; 3.7% rural, p<0.0001). The EC cohort had shorter consult completion time than the F2F cohort (EC: 10±10 days, F2F: 37±33; p<0.0001). Mean annual travel-related savings per Veteran in the EC cohort were 431±297 miles, 9.4±7 hours, and $179±123. Mean annual travel burden per Veteran in the F2F cohort were 159±171 miles, 3.5±4 hours and $66±71. EC and F2F cohorts had similar baseline A1C values (10%±1.6). Both cohorts had decline in baseline percent A1C to 3- 6 months (EC: 8.98%±1.54, F2F: 8.75%±1.77, p=0.03) and from baseline percent A1C to 12 months (EC: 8.80%±1.61, F2F: 8.57%±1.72, p=0.002). Electronic consults deliver effective and expedient care by saving money and travel time, and offer long-term, sustainable glycemic control comparable to F2F care for patients in remote areas with T2DM. Disclosure N. Karajgikar: None. K.B. Detoya: None. J.N. Beattie: None. S.J. Lutz-McCain: None. M.Y. Boudreaux-Kelly: None. A. Bandi: None.

Discussion | The VA uses the O to E ratio method, which estimates performance by using group-level data that produces an O to E ratio that almost always has a value greater than 0. When comparing patient-level outcomes, the ability to adjust for risk using the O to E ratio is limited for patients for whom no complications occurred, and the curve is more dependent on the number of events in a short time span, rather than being dependent on each patient's outcome related to presurgical risk.The visual presentation of the risk-adjusted cumulative summation chart (O − E) allows for an examination of the process in control events, in better-than-expected performance, and in out-of-control events. The use of real-time cumulative summation (O − E) complements the existing O to E ratio method to provide an informative, real-time visual representation of ongoing surgical performance. It may provide a more intuitive presentation of the process of care to health care providers and administrators.