Prevalence of undiagnosed dysglycemia in an emergency department observation unit.

BACKGROUND: The proposed 2015 US Preventive Services Task Force guidelines recommend diabetes screening for individuals ≥45 years or demonstrating other risk factors for dysglycemia. Still, many patients with dysglycemia remain undiagnosed, and opportunities for early intervention are lost. METHODS: To test novel approaches for diagnosis using the haemoglobin A1c (HbA1c ) test, we screened adult patients who were admitted to an observation unit from the emergency department with no known history of pre-diabetes or diabetes. RESULTS: Of 256 subjects, 9% were newly diagnosed with diabetes and 52% were newly diagnosed with pre-diabetes. Of those aged 18-29 years, 33% were newly diagnosed with dysglycemia, while 55% of those aged 30-44 years and 70% of those aged ≥45 years were newly diagnosed with dysglycemia. CONCLUSIONS: Our results suggest that regardless of age, a large proportion of patients in the emergency department observation unit have undiagnosed dysglycemia, an important finding given the large number of observation admissions. Copyright © 2015 John Wiley & Sons, Ltd.

A survey of the prevalence of cell phones capable of receiving health information among patients presenting to an Urban Emergency Department.

BACKGROUND: Mobile devices have been shown to assist patients with comprehension of health information, yet sparse data exist on what mobile devices patients own and preferences for receiving health information. OBJECTIVES: To determine the prevalence of mobile devices capable of receiving health information among patients/visitors presenting to an urban Emergency Department (ED). METHODS: A random sample of patients/visitors ≥18 years was surveyed. The primary outcome was prevalence of mobile devices capable of receiving health information among patient/visitor units presenting to the ED. Means and 95% confidence intervals were derived for continuous data; proportions with Fisher's exact 95% confidence intervals were derived for categorical data. Institutional review board approval was received before study initiation. RESULTS: Surveyors approached 1307 subjects: 68% (885) were eligible; 70% (620) agreed to participate; 4 participants were excluded, leaving 70% (616) in the final sample. Of the 616 participants, 82% stated cell phone ownership (95% confidence interval [CI] 0.79-0.85). Among cell phone owners (n = 507), 90% had the device with them (95% CI 0.87-0.92) in the ED. Of these participants (n = 456), 77% had text messaging (95% CI 0.73-0.81), 51% had Internet (95% CI 0.47-0.56), 51% had e-mail (95% CI 0.46-0.56), 39% could download audio content (95% CI 0.34-0.43), and 35% could download videos (95% CI 0.31-0.40). Even among those having an annual income ≤$20,000, nearly 80% of persons owned cell phones. CONCLUSIONS: Cell phones capable of receiving health information are prevalent among patients/visitors presenting to an urban ED.

Characteristics of Suspected COVID-19 Discharged Emergency Department Patients Who Returned During the First Wave.

INTRODUCTION: Limited information exists on patients with suspected coronavirus disease 2019 (COVID-19) who return to the emergency department (ED) during the first wave. In this study we aimed to identify predictors of ED return within 72 hours for patients with suspected COVID-19. METHODS: Incorporating data from 14 EDs within an integrated healthcare network in the New York metropolitan region from March 2-April 27, 2020, we analyzed this data on predictors for a return ED visit-including demographics, comorbidities, vital signs, and laboratory results. RESULTS: In total, 18,599 patients were included in the study. The median age was 46 years old [interquartile range 34-58]), 50.74% were female, and 49.26% were male. Overall, 532 (2.86%) returned to the ED within 72 hours, and 95.49% were admitted at the return visit. Of those tested for COVID-19, 59.24% (4704/7941) tested positive. Patients with chief complaints of "fever" or "flu" or a history of diabetes or renal disease were more likely to return at 72 hours. Risk of return increased with persistently abnormal temperature (odds ratio [OR] 2.43, 95% CI 1.8-3.2), respiratory rate (2.17, 95% CI 1.6-3.0), and chest radiograph (OR 2.54, 95% CI 2.0-3.2). Abnormally high neutrophil counts, low platelet counts, high bicarbonate values, and high aspartate aminotransferase levels were associated with a higher rate of return. Risk of return decreased when discharged on antibiotics (OR 0.12, 95% CI 0.0-0.3) or corticosteroids (OR 0.12, 95% CI 0.0-0.9). CONCLUSION: The low overall return rate of patients during the first COVID-19 wave indicates that physicians' clinical decision-making successfully identified those acceptable for discharge.

Evaluating the Diversity of Emergency Medicine Foundation (EMF) Grant Recipients in the Last Decade.

INTRODUCTION: To study diversity of researchers and barriers to success among Emergency Medicine Foundation (EMF) grant recipients in the last 10 years. METHODS: EMF grant awardees were approached to complete a brief survey, which included demographics, queries related to contributions to the literature, success in obtaining grants, and any perceived barriers they encountered. RESULTS: Of the 342 researchers contacted by email, a total of 147 completed the survey for a response rate of 43%. The respondents were predominately mid to late career white-male-heterosexual-Christian with an average age of 44 years (range 25-69 years of age). With regards to training and education, the majority of respondents (50%) were either Associate or Professor clinical rank (8% instructor/resident/fellow and 31% Assistant). Sixty-two percent of the respondents reported perceived barriers to career advancement since completion of residency. The largest perceived barrier to success was medical specialty (26%), followed by gender (21%) and age (16%). CONCLUSION: Our survey of EMF grant recipients in the last 10 years shows a considerable lack of diversity. The most commonly perceived barriers to career advancement by this cohort were medical specialty, gender, and age. An opportunity exists for further definition of barriers and development of mechanisms to overcome them, with a goal of increased success for those that are underrepresented.