Faculty Bibliography

Introduction/UNASSIGNED:Emergency department (ED) patient care often hinges on the result of a diagnostic test. Frequently there is a lag time between a test result becoming available for review and physician decision-making or disposition based on that result. We implemented a system that electronically alerts ED providers when test results are available for review via a smartphone- and smartwatch-push notification. We hypothesized this would reduce the time from result to clinical decision-making. Methods/UNASSIGNED:We retrospectively assessed the impact of the implementation of a push notification system at three EDs on time-to-disposition or time-to-follow-up order in six clinical scenarios of interest: chest radiograph (CXR) to disposition, basic metabolic panel (BMP) to disposition, urinalysis (UA) to disposition, respiratory pathogen panel (RPP) to disposition, hemoglobin (Hb) to blood transfusion order, and abnormal D-dimer to computed tomography pulmonary angiography (CTPA) order. All ED patients during a one-year period of push-notification availability were included in the study. The primary outcome was median time in each scenario from result availability to either disposition order or defined follow-up order. The secondary outcome was the overall usage rate of the opt-in push notification system by providers. Results/UNASSIGNED:During the study period there were 6115 push notifications from 4183 ED encounters (2.7% of all encounters). Of the six clinical scenarios examined in this study, five were associated with a decrease in median time from test result availability to patient disposition or follow-up order when push notifications were employed: CXR to disposition, 80 minutes (interquartile range [IQR] 32-162 minutes) vs 56 minutes (IQR 18-141 minutes), difference 24 minutes (p<0.01); BMP to disposition, 128 minutes (IQR 62-225 minutes) vs 116 minutes (IQR 33-226 minutes), difference 12 minutes (p<0.01); UA to disposition, 105 minutes (IQR 43-200 minutes) vs 55 minutes (IQR 16-144 minutes), difference 50 minutes (p<0.01); RPP to disposition, 80 minutes (IQR 28-181 minutes) vs 37 minutes (IQR 10-116 minutes), difference 43 minutes (p<0.01); and D-dimer to CTPA, 14 minutes (IQR 6-30 minutes) vs 6 minutes (IQR 2.5-17.5 minutes), difference 8 minutes (p<0.01). The sixth scenario, Hb to blood transfusion (difference 19 minutes, p=0.73), did not meet statistical significance. Conclusion/UNASSIGNED:Implementation of a push notification system for test result availability in the ED was associated with a decrease in lag time between test result and physician decision-making in the examined clinical scenarios. Push notifications were used in only a minority of ED patient encounters.

Background: Emergency department (ED) care decisions often hinge on the result of a diagnostic test. Frequently there is a lag time between a test result becoming available for review, and physician decision-making based on that result. Push notifications to physician smartphones have demonstrated improvement in this lag time in chest pain patients, but have not been studied in other ED patients. We implemented a system by which ED providers can subscribe to electronic alerts when test results are available for review via a smartphone or smartwatch push notification, and hypothesized that this would reduce the time to make clinical decisions. Method(s): This was a retrospective, multicenter, observational study in three emergency departments of an urban health system. We assessed push notification impact on time to disposition or time to follow-up order in six clinical scenarios of interest: chest x-ray (CXR) to disposition, basic metabolic panel (BMP) to disposition, urinalysis (UA) to disposition, respiratory pathogen panel (RPP) to disposition, hemoglobin (Hb) to blood transfusion order, and D-dimer to computed tomography pulmonary angiography (CTPA) order. All adult ED patients during a one-year period of push notification availability were included in the study. The primary outcome was median time from result availability to disposition order or defined follow-up order. Median times with interquartile ranges were determined in each scenario and the Mann Whitney (Wilcoxon) test for unpaired data was used to determine statistical significance. Result(s): During the study period there were 6,115 push notifications from 4,183 eligible ED encounters (2.7% of all ED encounters). All six scenarios studied were associated with a decrease in median time from test result availability to patient disposition, or from test result availability to follow-up order, when push notifications were employed: CXR to disposition (24 minutes, p<0.01), BMP to disposition (12 minutes, p<0.01), UA to disposition (50 minutes, p<0.01), RPP to disposition (43 minutes, p<0.01), D-dimer to CTPA (8 minutes, p<0.01), Hb to blood transfusion (19 minutes, p=0.73). Conclusion(s): Implementation of a push notification system for test result availability in the ED was associated with a decrease in lag time between test result availability and physician decision-making

Background: Electronic health record (EHR) documentation may contribute to burnout, especially for those with substantial clinical effort. We assessed whether clinical effort is associated with working in the EHR after work hours.
Method(s): We included all ambulatory physicians in a medicine specialty continuously practicing at any NYU Langone Health Faculty Group Practice site between May 1 and October 31, 2018. We quantified minutes logged into the EHR on days without scheduled appointments, and minutes logged into the EHR 30 minutes before and after appointments on days with scheduled appointments. We termed this time " work after work." We categorized physicians by their average number of days with appointments per week. Data were analyzed using SAS 9.4 (SAS Institute, Cary, NC). We calculated least squares means of fixed effects to account for heterogeneous variances, and compared means using Tukey's multiple comparison test. This study met institutional review board criteria for quality improvement work.
Result(s): We included 300 physicians, of whom 28.6% were general internists. The average physician had 3 days/week with scheduled appointments, spent 114.9 min in the EHR on days without appointments, and spent 21.7 min in the EHR after work hours on days with appointments. Time spent in the EHR on days without appointments increased with the number of appointment days per week (14.7 min/unscheduled day for 1 day/week vs. 193.8 min/unscheduled day for > 4 days/week, p< 0.001). Time spent in the EHR after hours on days with scheduled appointments did not significantly differ (Table 1).
Conclusion(s): All ambulatory physicians spend a substantial amount of time working in the EHR after hours and on unscheduled days (including weekends), but physicians with more clinical time were disproportionately burdened. The most clinically active spent an average of 2.8 hours in the EHR each unscheduled day. These findings add to concerns about EHR usability and documentation burden, particularly for busier clinicians. Our institution is now building dashboards to track work after work, offloading tasks to ancillary team members to reduce physician work burden, and exploring whether outliers would benefit from personalized technical assistance and training. Work after work analyses could be employed elsewhere to motivate similar improvements

Background/UNASSIGNED:Current guidelines recommend less aggressive target hemoglobin A1c (HbA1c) levels based on older age and lower life expectancy for older adults with diabetes. The effectiveness of electronic health record (EHR) clinical decision support (CDS) in promoting guideline adherence is undermined by alert fatigue and poor workflow integration. Integrating behavioral economics (BE) and CDS tools is a novel approach to improving adherence to guidelines while minimizing clinician burden. Methods/UNASSIGNED: = 8), (2) a 2-h, design-thinking workshop to derive and refine initial module ideas, and (3) semi-structured group interviews at each site with clinic leaders and clinicians to elicit feedback on three proposed nudge module components (navigator section, inbasket refill protocol, medication preference list). Detailed field notes will be summarized by module idea and usability theme for rapid iteration. Frequency of firing and user action taken will be assessed in the first month of implementation via EHR reporting to confirm that module components and related reporting are working as expected as well as assess utilization. To assess the utilization and feasibility of the new tools and generate estimates of clinician compliance with the Choosing Wisely guideline for diabetes management in older adults, a 6-month, single-arm pilot study of the BE-EHR module will be conducted in six outpatient primary care clinics. Discussion/UNASSIGNED:We hypothesize that a low burden, user-centered approach to design will yield a BE-driven, CDS module with relatively high utilization by clinicians. The resulting module will establish a platform for exploring the ability of BE concepts embedded within the EHR to affect guideline adherence for other use cases.

Emergency departments (EDs) are often called the "˜safety net"™ of the U.S. health care system. Little is known, however, about the social determinants of health (SDOH)"“including rates and types of homelessness"“of ED patients. This study sought to quantify the presence of housing instability, homelessness, and other selected SDOH in ED patients. We conducted a cross-sectional survey of a random sample of 625 patients presenting to an urban ED. 13.8% of patients were currently living in a homeless shelter or on the streets. Further, 25.4% of patients reported concern about becoming homeless in the next 2 months and 9.1% had been evicted in the past year. 42.0% of patients reported difficulty meeting essential expenses and 35.9% were worried about running out of food. In conclusion, we found high rates of homelessness and other social needs in ED patients. Addressing patients"™ SDOH will become increasingly important under new healthcare payment models.

Background: Certain vulnerable patient groups including the homeless and those with Medicaid insurance are disproportionately represented among ED patients, yet little is known about ED patients' social determinants of health (SDOH). Objectives: This study seeks to quantify the presence of certain SDOH in ED patients. Methods: Using questions from previously validated or widelyused questionnaires, we conducted a cross-sectional survey of a random sample of patients presenting to an urban academic ED. Patients were excluded if they were physically or mentally unfit to participate, were intoxicated, were under police custody, or had already completed the study. Surveys were administered by trained research assistants (RAs) from June-August 2014 seven days a week from 8 am-11 pm and during eight 12 am-8 am shifts. RAs used a random number generator and patient whiteboard displays to select patients to approach. Survey responses were entered by RAs directly into a secure iPad survey platform. Multiple imputation was used for missing data. Results: 1,463 patients were assessed for eligibility, 592 were ineligible, and 246 of those eligible refused to participate, yielding 625 total participants. There were no statistically significant differences in gender or age between those who chose to participate and those who refused. 58.1% of participants were male, 39.8% were Hispanic, 25.9% were black, and 27.2% were white. The most common insurance status was uninsured (28.1%), followed by Medicaid (26.7%). 13.8% of patients were currently living in a homeless shelter or on the streets and 30.5% had been homeless at some point in their lives. In addition, 25.4% of patients reported concern about becoming homeless in the next 2 months and 9.1% had been evicted from their home in the past year. 42.0% of patients reported difficulty meeting essential expenses, 35.9% were worried about running out of food, and 27.7% had not seen a doctor or taken medications (24.5%) because of money concerns. Conclusion: Our survey found high rates of homelessness and other SDOH in ED patients and demonstrates the importance of further research on ED patients' SDOH. Addressing patients' SDOH will become increasingly important under new health care payment models that demand greater accountability for population health