Publications

The objective of this study was to understand the social elements of clinical and organizational interactions of the key stakeholders in the specific context of an electronic dashboard used by the emergency department (ED) and inpatient medicine teams at the time of clinical referral and handover. An electronic handover function is utilised at the ED-inpatient interface at this institution and has given clinicians the ability to better communicate, monitor the department and strive to improve patient safety in streamline the delivery of care in the acute phase. This study uses an ethnographic qualitative research design incorporating semistructured interviews, participant observation on the ED floor and fieldwork notes. The setting for this research was in the ED at a tertiary University affiliated hospital. Triangulation was used to combine information obtained from multiple sources and information from fieldwork and interviews refined into useable chunks culminating in a thematic analysis. Thematic analysis yielded five central themes that reflected how the clinical staff utilised this IT system and why it had become embedded in the culture of clinical referral and handover. Efficient time management for improved patient flow was demonstrated, value added communication (at the interpersonal level), the building trust at the ED-inpatient interface, the maintenance of mutual respect across medical cultures and an overall enhancement of the quality of ED communication (in terms of the information available). A robust electronic handover process, resulted in an integrated approach to patient care by removing barriers to admission for medical inpatients, admitted via ED. The value proposition for patients was a more complete information transfer, both within the ED and between departments.

BACKGROUND: Patient handoffs between units can introduce risk and time delays. Verbal communication is the most common mode of handoff, but requires coordination between different parties.

OBJECTIVE: We present an asynchronous patient handoff process supported by a structured electronic signout for admissions from the emergency department (ED) to the inpatient medicine service.

METHODS: A retrospective review of patients admitted to the medical service from July 1, 2011 to June 30, 2015 at a tertiary referral center with 520 inpatient beds and 57,000 ED visits annually. We developed a model for structured electronic, asynchronous signout that includes an option to request verbal communication after review of the electronic handoff information.

RESULTS: During the 2010 academic year (AY) all admissions used verbal communication for signout. The following academic year, electronic signout was implemented and 77.5% of admissions were accepted with electronic signout. The rate increased to 87.3% by AY 2014. The rate of transfer from floor to an intensive care unit within 24 h for the year before and 4 years after implementation of the electronic signout system was collected and calculated with 95% confidence interval. There was no statistically significant difference between the year prior and the years after the implementation.

CONCLUSIONS: Our handoff model sought to maximize the opportunity for asynchronous signout while still providing the opportunity for verbal signout when deemed necessary. The process was rapidly adopted with the majority of patients being accepted electronically.

STUDY OBJECTIVE: Resident productivity, defined as new patients per hour, carries important implications for emergency department operations. In high-volume academic centers, essential staffing decisions can be made on the assumption that residents see patients at a static rate. However, it is unclear whether this model mirrors reality; previous studies have not rigorously examined whether productivity changes over time. We examine residents' productivity across shifts to determine whether it remained consistent.

METHODS: This was a retrospective cohort study conducted in an urban academic hospital with a 3-year emergency medicine training program in which residents acquire patients ad libitum throughout their shift. Time stamps of all patient encounters were automatically logged. A linear mixed model was constructed to predict productivity per shift hour.

RESULTS: A total of 14,364 8- and 9-hour shifts were worked by 75 residents between July 1, 2010, and June 20, 2015. This comprised 6,127 (42.7%) postgraduate year (PGY) 1 shifts, 7,236 (50.4%) PGY-2 shifts, and 998 (6.9%) PGY-3 nonsupervisory shifts (Table 1). Overall, residents treated a mean of 10.1 patients per shift (SD 3.2), with most patients at Emergency Severity Index level 3 or more acute (93.8%). In the initial hour, residents treated a mean of 2.14 patients (SD 1.2), and every subsequent hour was associated with a significant decrease, with the largest in the second, third, and final hours.

CONCLUSION: Emergency medicine resident productivity during a single shift follows a reliable pattern that decreases significantly hourly, a pattern preserved across PGY years and types of shifts. This suggests that resident productivity is a dynamic process, which should be considered in staffing decisions and studied further.

BACKGROUND: Hypokalemia is a common clinical disorder caused by a variety of different mechanisms. Although the most common causes are diuretic use and gastrointestinal losses, elevated cortisol levels can also cause hypokalemia through its effects on the renin-angiotensin-aldosterone system. Cushing's syndrome refers to this general state of hypercortisolemia, which often manifests with symptoms of generalized weakness, high blood pressure, diabetes mellitus, menstrual disorders, and psychiatric changes. This syndrome is most commonly caused by exogenous steroid use, but other etiologies have also been reported in the literature. Ectopic adrenocorticotropic hormone production by small-cell lung cancer is one rare cause of Cushing's syndrome, and may be associated with significant hypokalemia.

CASE REPORT: We describe the case of a 62-year-old man who presented to the emergency department with weakness and hypokalemia. The patient was initially misdiagnosed with furosemide toxicity. Despite having a 30-pack-year smoking history, this patient's lack of respiratory complaints allowed him to present for medical attention twice before being diagnosed with lung cancer. It was later determined that this patient's hypokalemia was due to Cushing's syndrome caused by ectopic adrenocorticotropic hormone production from small-cell lung cancer. WHY SHOULD AN EMERGENCY PHYSICIAN BE AWARE OF THIS?: This case reminds emergency physicians to consider a broad differential when treating patients with hypokalemia. More importantly, it prompts emergency physicians to recognize comorbid conditions and secondary, less common etiologies in patients with repeated visits for the same complaint.

Idiopathic retinal vasculitis, aneurysms, and neuroretinitis (IRVAN) is a rare syndrome affecting the retinal and optic disc vasculature. Diffuse retinal ischemia, macular edema, and neovascularization may lead to bilateral vision loss. The authors report a case of a 36-year-old woman presenting with branch retinal artery occlusion (BRAO) in her right eye who was subsequently diagnosed with IRVAN syndrome. She was treated with panretinal photocoagulation for peripheral retinal ischemia and pars plana vitrectomy for vitreous hemorrhage. She later developed a BRAO in her left eye. This case demonstrates that BRAO may be a presenting feature of IRVAN syndrome. [Ophthalmic Surg Lasers Imaging Retina. 2017;48:948-951.].

BACKGROUND: Intubation in rural emergency departments (EDs) is a high-risk procedure, often with little or no specialty support. Rural EDs are utilizing real-time telemedicine links, connecting providers to an ED physician who may provide clinical guidance.

INTRODUCTION: We endeavored to describe telemedicine-assisted intubation in rural EDs that are served by an ED telemedicine network.

MATERIALS AND METHODS: Prospective data were collected on all patients who had an intubation attempt while on the video telemedicine link from May 1, 2014 to April 30, 2015. We report demographic information, indication, methods, number of attempts, operator characteristics, telemedicine involvement/intervention, adverse events, and clinical outcome by using descriptive statistics.

RESULTS: Included were 206 intubations. The most common indication for intubation was respiratory failure. First-pass success rate (postactivation) was 71%, and 96% were eventually intubated. Most attempts (66%) used rapid-sequence intubation. Fifty-four percent of first attempts used video laryngoscopy (VL). Telemedicine providers intervened in 24%, 43%, and 55% of first-third attempts, respectively. First-pass success with VL and direct laryngoscopy was equivalent (70% vs. 71%, p = 0.802). Adverse events were reported in 49 cases (24%), which were most frequently hypoxemia.

DISCUSSION: The impact of telemedicine during emergency intubation is not defined. We showed a 71% first-pass rate post-telemedicine linkage (70% of cases had a previous attempt). Our ultimate success rate was 96%, similar to that in large-center studies. Telemedicine support may contribute to success.

CONCLUSIONS: Telemedicine-supported endotracheal intubation performed in rural hospitals is feasible, with good success rates. Future research is required to better define the impact of telemedicine providers on emergency airway management.

BACKGROUND: As the numbers of emergency department (ED) visits and inpatient admissions continue to increase, there is growing interest in alternatives to inpatient hospitalization.

OBJECTIVE: Our aim was to investigate a novel approach to expediting discharges from the ED with multidisciplinary discharge services to prevent an avoidable admission into the hospital.

METHODS: This pilot study was conducted at a large urban tertiary-care ED in 2016. All patients presenting to the ED with planned inpatient or observation admission were considered for discharge with enhanced discharge planning services. The patients selected, discharge diagnoses, and outcomes were analyzed by descriptive statistics. This study was approved by the study site's Institutional Review Board, including waiver of patient consent.

RESULTS: During the pilot period, 57 out of 143 (40%) selected patients with planned admission were discharged with enhanced discharge planning services. Median ED length of stay was 17.2 h and mean patient age was 73 years old. Of these patients, 7 (12%) returned within 72 h and 4 (0.07%) were subsequently admitted to the hospital.

CONCLUSIONS: In this pilot study, a novel approach to expediting discharges from the ED with multidisciplinary discharge services was feasible and resulted in fewer admissions to the hospital.

BACKGROUND: Medical student evaluations are essential for determining clerkship grades. Electronic evaluations have various advantages compared to paper evaluations, such as increased ease of collection, asynchronous reporting, and decreased likelihood of becoming lost.

OBJECTIVES: To determine whether electronic medical student evaluations (EMSEs) provide more evaluations and content when compared to paper shift card evaluations.

METHODS: This before and after cohort study was conducted over a 2.5-year period at an academic hospital affiliated with a medical school and emergency medicine residency program. EMSEs replaced the paper shift evaluations that had previously been used halfway through the study period. A random sample of the free text comments on both paper and EMSEs were blindly judged by medical student clerkship directors for their helpfulness and usefulness. Logistic regression was used to test for any relationship between quality and quantity of words.

RESULTS: A total of 135 paper evaluations for 30 students and then 570 EMSEs for 62 students were collected. An average of 4.8 (standard deviation [SD] 3.2) evaluations were completed per student using the paper version compared to 9.0 (SD 3.8) evaluations completed per student electronically (p < 0.001). There was an average of 8.8 (SD 8.5) words of free text evaluation on paper evaluations when compared to 22.5 (SD 28.4) words for EMSEs (p < 0.001). A statistically significant (p < 0.02) association between quality of an evaluation and the word count existed.

CONCLUSIONS: EMSEs that were integrated into the emergency department tracking system significantly increased the number of evaluations completed compared to paper evaluations. In addition, the EMSEs captured more "helpful/useful" information about the individual students as evidenced by the longer free text entries per evaluation.

OBJECTIVES: To evaluate the sensitivity and specificity of a problem list automatically generated from the emergency department (ED) medication reconciliation.

METHODS: We performed a retrospective cohort study of patients admitted via the ED who also had a prior inpatient admission within the past year of an academic tertiary hospital. Our algorithm used the First Databank ontology to group medications into therapeutic classes, and applied a set of clinically derived rules to them to predict obstructive lung disease, hypertension, diabetes, congestive heart failure (CHF), and thromboembolism (TE) risk. This prediction was compared to problem lists in the last discharge summary in the electronic health record (EHR) as well as the emergency attending note.

RESULTS: A total of 603 patients were enrolled from 03/29/2013-04/30/2013. The algorithm had superior sensitivity for all five conditions versus the attending problem list at the 99% confidence level (Obstructive Lung Disease 0.93 vs 0.47, Hypertension 0.93 vs 0.56, Diabetes 0.97 vs 0.73, TE Risk 0.82 vs 0.36, CHF 0.85 vs 0.38), while the attending problem list had superior specificity for both hypertension (0.76 vs 0.94) and CHF (0.87 vs 0.98). The algorithm had superior sensitivity for all conditions versus the EHR problem list (Obstructive Lung Disease 0.93 vs 0.34, Hypertension 0.93 vs 0.30, Diabetes 0.97 vs 0.67, TE Risk 0.82 vs 0.23, CHF 0.85 vs 0.32), while the EHR problem list also had superior specificity for detecting hypertension (0.76 vs 0.95) and CHF (0.87 vs 0.99).

CONCLUSION: The algorithm was more sensitive than clinicians for all conditions, but less specific for conditions that are not treated with a specific class of medications. This suggests similar algorithms may help identify critical conditions, and facilitate thorough documentation, but further investigation, potentially adding alternate sources of information, may be needed to reliably detect more complex conditions.