Emergency Department Stopping Elderly Accidents, Deaths and Injuries (ED STEADI) Program.

BACKGROUND: Falls are among the leading cause of emergency department (ED) visits. OBJECTIVE: We set out to determine whether using a bedside decision aid could decrease falls. METHODS: This randomized controlled trial was conducted on those aged ≥ 65 years who were being discharged home and screened positive for a Centers for Disease Control and Prevention (CDC) fall risk factor. Control-arm subjects were given a CDC brochure about falls. The active-arm subjects received a personalized decision aid intervention. Both groups were followed up via telephone. RESULTS: A total of 200 subjects were enrolled and, after exclusions, 184 patients were analyzed. There were 76 male (41.3%) and 108 female (58.7%) subjects; 14% of the subjects chose to have their medications reviewed, 13.6% chose to have an eye examination, 22.8% chose to begin an exercise program, and the majority (44.6%) chose to have a home safety evaluation. Patients in the intervention arm chose more interventions to complete compared to control-arm subjects (p < 0.0001), but did not complete more interventions (p = 0.3387) and did not experience fewer falls compared to the control arm (p = 0.5675). At study conclusion, 73 subjects reported at least one fall during the study. CONCLUSIONS: Overall, in this study, subjects who had their fall-risk interventions facilitated by a decision tool chose to participate in interventions more than control subjects. However, they did not complete the interventions or fall less often than their counterparts in the control arm. Future study is needed to determine the effect of CDC screening guidelines and interventions facilitated by a decision aid on fall outcomes and their application in the ED population.

Measures of Burnout and Empathy in United States Doctor of Pharmacy Students: Time for a Change?

PURPOSE: To review interim data regarding longitudinal burnout and empathy levels in a single Doctor of Pharmacy class cohort. METHODS: Students were emailed an electronic survey during their first semester and annually at the end of each academic year for a total of 3 years (2017-2020). Validated survey tools included the Jefferson Scale of Empathy (JSE) and the Maslach Burnout Inventory (MBI) student version. The JSE survey consists of 20 questions, with higher scores denoting more empathy. The MBI student version contains 3 subscales: exhaustion (higher scores are worse), cynicism (higher scores are worse) and professional efficacy (higher scores are better). RESULTS: The median JSE score at the end of the third academic year (PY3) was 110, with females scoring significantly higher (114.5 vs. 103.5; p<0.02). A majority of the 62 students reported burn out (82.3%), scoring in the highest category for either exhaustion (76%) or cynicism (55%). A majority (66%) also reported a low or moderate professional efficacy score, a negative finding. Measures of student burnout increased after the start of the program and remained at the higher level each subsequent year (p<0.0001). In the Spring of 2020, during the COVID-19 pandemic, nearly every student had moderate or high levels of emotional exhaustion (97%) and cynicism (78%) as measured by the MBI. CONCLUSION: This interim data suggests high degrees of pharmacy student burnout. Empathy levels remained stable throughout the duration of the study. Pharmacy schools may need to focus on reform regarding well-being and prevention of burnout.

Do incoming residents vary in measures of emotional status even prior to residency training?

Objectives: To determine whether Empathy, Emotional Intelligence, and Burnout scores differ by specialty in incoming residents. Methods: This is a single-site, prospective, cross-sectional study. Three validated survey instruments, the Jefferson Scale of Physician Empathy, Maslach Burnout Inventory, and Emotional and Social Competency Inventory, were written into a survey platform as a single 125-question Qualtrics survey. Over three academic years, 2015-2017, 229 incoming residents across all specialties were emailed the survey link during orientation. Residents were grouped by incoming specialty with anonymity assured. A total of 229 responses were included, with 121 (52.8%) identifying as female. Statistical analysis was performed using the Analysis of Variance or Kruskal-Wallis test, Chi-Square or Fisher's Exact test, and Independent Samples t-test or Mann Whitney U test. A Bonferroni correction was applied for pairwise comparisons. Results: Family Medicine had a higher median Jefferson Scale of Physician Empathy score (127) compared to Emergency Medicine (115), (U=767.7, p=0.0330). Maslach Burnout Inventory depersonalization and personal accomplishment subcategory scores showed a significant difference between specialties when omnibus tests were performed, but pairwise comparisons with emergency medicine residents showed no differences. Differences were found in the Maslach Burnout Inventory categories of Depersonalization (χ2(8, N=229) =15.93, p=0.0434) and Personal Accomplishment level (χ2(8, N=229) =20.80, p=0.0077) between specialties. Conclusions: Differences in measures of well-being exist across specialties, even prior to the start of residency training. The implication for educators of residency training is that some incoming residents, regardless of specialty, already exhibit troublesome features of burnout, and resources to effectively deal with these residents should be developed and utilized.

Concurrent Primary Cardiac Tumors in a High-Risk Patient Presenting With Tamponade.

Primary cardiac tumors are rare, particularly in the elderly population. The patient described in this report presented with symptoms of dyspnea on exertion, leg swelling, and weight gain and was found to have two histologically distinct cardiac masses: atrial myxoma with concurrent aortic fibroelastoma. Given her history of cirrhosis and end-stage renal disease, the patient was a poor surgical candidate but opted for excision of both masses. The patient eventually succumbed to her cirrhosis six weeks after presentation. In this report, we advocate for further research into medical management for the unique presentation of concurrent primary cardiac tumors in high-operative-risk patients, particularly those whose symptoms are mostly due to tamponade.

Don't Forget the Flu - Determining the Etiology of Infective Myositis in a Child: A Case Report.

INTRODUCTION: Infective myositis is an acute, self-limited condition, rarely occurring in children with recent viral infections. The condition is often overlooked by emergency physicians when endeavoring to exclude other diagnoses included in the differential. Diagnosis of the condition can be difficult when based purely on clinical presentation because it shares symptoms with much more concerning neurological illnesses. A few simple laboratory tests are indicated to reach the correct diagnosis. CASE REPORT: The following case report describes a three-year-old female diagnosed with a recent upper respiratory tract infection presenting to the emergency department with complaints of fatigue and inability to walk. She was diagnosed with an influenza-like illness three days prior by her pediatrician, the symptoms of which had mostly resolved by the time of presentation. CONCLUSION: Muscle weakness and abnormal, uncoordinated gait with an acute upper respiratory tract infection in a child may be cause for concern, prompting unnecessary work-up. Emergency physicians should be aware of the signs and symptoms of influenza-associated infective myositis in children, especially during influenza season.

Physician-directed smoking cessation using patient "opt-out" approach in the emergency department: A pilot program.

OBJECTIVE: Using a physician-directed, patient "opt-out" approach to prescriptive smoking cessation in the emergency department (ED) setting, we set out to describe patient actions as they related to smoking cessation behaviors. METHODS: A convenience sample of smokers at 2 Pennsylvania hospital EDs who met inclusion/exclusion criteria were approached to participate in a brief intervention known as screening, treatment initiation, and referral (STIR) counseling that included phone follow-up. Demographic information, current smoking status, and specific physician prescription and follow-up recommendations were collected. Approximately 3 months later, patients were contacted to determine current smoking status and actions taken since their ED visit. RESULTS: One hundred six patients were approached and 7 (6.6%) opted out of the intervention. Patients who did not opt out were evaluated for appropriate use of smoking cessation-related medications; 35 (35.4%) opted out of the prescription(s) and 6 (6.1%) were not indicated. Twenty-one (21.2%) patients opted out of ambulatory referral follow-ups with primary care and/or tobacco treatment program; one (1.0%) was not indicated for referral. Nineteen (32.8%) patients who received prescription(s) for smoking cessation-related medications initially also followed the prescription(s). Seventeen (22.1%) patients participated in referral follow-up. CONCLUSION: In this small ED pilot, using the STIR concepts in an opt-out method, few smokers opted out of the smoking cessation intervention. About one-third of the patients declined prescriptions for smoking cessation-related medications and less than one-quarter declined ambulatory referrals for follow-up. These findings support a willingness of patients to participate in STIR and the benefits of intervention in this setting.

Narcotic and benzodiazepine use after withdrawal of life support: association with time to death?

OBJECTIVE: To determine whether the dose of narcotics and benzodiazepines is associated with length of time from mechanical ventilation withdrawal to death in the setting of withdrawal of life-sustaining treatment in the ICU. DESIGN: Retrospective chart review. SETTING: University-affiliated, level I trauma center. PATIENTS: Consecutive critically ill patients who had mechanical ventilation withdrawn and subsequently died in the ICU during two study time periods. RESULTS: There were 75 eligible patients with a mean age of 59 years. The primary ICU admission diagnoses included intracranial hemorrhage (37%), trauma (27%), acute respiratory failure (27%), and acute renal failure (20%). Patients died during a median of 35 min (range, 1 to 890 min) after ventilator withdrawal. On average, 16.2 mg/h opiates in morphine equivalents and 7.5 mg/h benzodiazepine in lorazepam equivalents were administered during the time period starting 1 h before ventilator withdrawal and ending at death. There was no statistically significant relationship between the average hourly narcotic and benzodiazepine use during the 1-h period prior to ventilator withdrawal until death, and the time from ventilator withdrawal to death. The restriction of medication assessment in the last 2 h of life showed an inverse association between the use of benzodiazepines and time to death. For every 1 mg/h increase in benzodiazepine use, time to death was increased by 13 min (p = 0.015). There was no relationship between narcotic dose and time to death during the last 2 h of life (p = 0.11). CONCLUSIONS: We found no evidence that the use of narcotics or benzodiazepines to treat discomfort after the withdrawal of life support hastens death in critically ill patients at our center. Clinicians should strive to control patient symptoms in this setting and should document the rationale for escalating drug doses.

Evaluation of a standardized order form for the withdrawal of life support in the intensive care unit.

OBJECTIVE: The intensive care unit remains a setting where death is common, and a large proportion of these deaths are preceded by withdrawal of life support. We describe a quality improvement project implementing and evaluating a "withdrawal of life support order form" to improve quality of end-of-life care in the intensive care unit. DESIGN: Before-after evaluation. SETTING: County-owned, university-operated, tertiary, level I trauma center. SUBJECTS: Subjects were 143 nurses and 61 physicians. INTERVENTIONS: We conducted a before-after evaluation of the order form's implementation. The order form has sections on preparations, sedation/analgesia, withdrawal of mechanical ventilation, and the principles of life support withdrawal. To evaluate the form, we surveyed intensive care unit clinicians regarding satisfaction with the form, measured nurse-assessed quality of dying and death with a 14-item survey (scored 0 for worst possible death to 100 for best possible), and performed chart review to assess narcotic and benzodiazepine use and time from ventilator withdrawal to death. MEASUREMENTS AND MAIN RESULTS: We surveyed 143 nurses and 61 physicians about satisfaction with the form. Among nurses reporting that the form was used (n = 73), most (84%) reported that the order form was helpful and they were most satisfied with the sedation and mechanical ventilation sections. Almost all physicians found the form helpful (95%), and > 70% of physicians found three of the four sections helpful (sedation, mechanical ventilation, and preparations). We obtained quality of dying and death scores for 41 patient deaths before and 76 deaths after the intervention. These scores did not significantly change (mean preintervention score, 78.3; mean postintervention score, 74.2; p = .54) before and after the intervention. Total doses of narcotics and benzodiazepines increased after implementation of the order form in the hour before ventilator withdrawal, the hour after ventilator withdrawal, and the hour before death (p < or = .03). There was no change in the median time from ventilator withdrawal to death (preintervention 37 mins, postintervention 39 mins; p = .49). CONCLUSIONS: Nurses and physicians found the withdrawal of life support order form helpful. The order form did not improve nurses' assessment of patients' dying experience. Medications for sedation increased during the postorder form period without evidence of significantly hastening death. Although the order form was helpful to clinicians and changed medication delivery, demonstrating clear improvements in quality of dying may require larger sample sizes, more sensitive measures, or more effective interventions.