Emergency department documentation of legal intervention injuries at a Washington, DC, hospital.

BACKGROUND: The U.S. Centers for Disease Control and Prevention (CDC) defines legal intervention injuries as injuries caused by law enforcement agents in the course of official duties. Public health databases utilize International Classification of Diseases, 10th Revision (ICD-10), coding to collect these data through the "Y35" family ICD-10 code. Prior studies report deficiencies in public health recording of fatal legal intervention injuries. Few studies have characterized nonfatal injuries. This study investigates emergency department (ED) capture of legal intervention injury diagnostic coding. METHODS: A retrospective chart review was performed on ED encounter data from January 1, 2017, to June 30, 2019, at an academic hospital in Washington, DC. Charts were identified using a keyword search program for "police." Chart abstracters reviewed the flagged charts and abstracted those that met injury definition. Primary outcomes included injury severity, patient demographics, and documented ICD-10 codes. One sample proportion testing was performed comparing sample census ED data. RESULTS: A total of 340 encounters had sufficient descriptions of legal intervention injuries. A total of 259 had descriptions consistent with the patient specifier of "suspect." Hospital coders recorded 74 charts (28.6%) with the Y35 family legal intervention injury code. A total of 212 involved a Black patient. A total of 122 patients had Medicaid and 94 were uninsured. Black patients made up a higher proportion of individuals in the "suspect identified legal intervention injury" group than the total population (0.819 vs. 0.609, p < 0.01, 95% CI 0.772-0.866). Patients with Medicaid or who were uninsured made up substantial proportions as well (0.471 vs. 0.175, p < 0.01, 95% CI 0.410-0.532 for Medicaid patients and 0.363 vs. 0.155, p < 0.01, 95% CI 0.304-0.424 for the uninsured patients). CONCLUSION: A large proportion of nonfatal legal intervention injuries remain unreported. Black and low-income patients are disproportionately affected. More research is needed but benefits from interprofessional data sharing, injury pattern awareness, and diagnostic coding guidance may improve reporting.

Remote Patient Monitoring for Hypertension: Feasibility and Outcomes of a Clinic-Based Pilot in a Minority Population.

BACKGROUND: In the US 48% of adults have hypertension, with direct costs in excess of $130 billion per year. Remote patient monitoring (RPM) has been discussed as a useful tool in the treatment of hypertension, but few studies evaluate its cost effectiveness or efficacy in minority, lower socio-economic (SES) populations. Our study aims to evaluate the clinical and financial outcomes of RPM in hypertension management in a primarily minority, low-SES population. METHODS: In this prospective cohort pilot study, patients with uncontrolled primary hypertension (defined via Joint National Committee 8 guidelines) were randomly selected from a single academically affiliated primary care clinic. Patients were enrolled on a rolling basis for 90 days. Patients were given blood pressure cuffs and transmission hubs and asked to transmit daily blood pressure readings. Patients were called weekly by research assistants and concerns were escalated to the primary care physician. The control group was the remaining 299 uncontrolled hypertensive patients from the same clinic population analyzed via retrospective chart records at the conclusion of the interventional study period. The primary outcome was blood pressure control. Secondary outcomes were relative improvement in systolic pressure and direct costs. RESULTS: A total of 13 patients were enrolled into the RPM intervention; these patients were 54% female, 100% African American, and 77% Medicaid. When assessed via intention-to-treat analysis, patients in the intervention group had non-inferior blood pressure control at 90 days (46% experimental vs 31% control, P = .33) and average change in systolic blood pressure at 90 days (13.5 vs 3.7 mmHg, P = .174) while experiencing a significant reduction in office-based visits at 90 days (1.5 vs 5.9, P < .001) as compared to control. Results on per-protocol analysis also showed non-inferior BP control (63% vs 31%, P = .135). Financially, the program generated margins of $29 per patient at 90 days. CONCLUSIONS: Patients in our minority- and Medicaid-predominant cohort achieved noninferior blood pressure control as compared to retrospective control at 90 days and a significant reduction in all-cause clinic visits at 90 days. The program generated little revenue per patient, with main barriers to implementation including patient compliance and payor denial.

Pediatric and Adolescent Obstetric and Gynecologic Encounters in US Emergency Departments: A Cross-Sectional Study.

STUDY OBJECTIVE: To describe pediatric and adolescent obstetric and gynecologic diagnoses presenting at emergency departments (EDs) in the United States. METHODS: This was a retrospective, cross-sectional study design that utilized the Nationwide Emergency Department Sample (NEDS), which comprised hospital-owned EDs throughout the United States in 2018. The participants included a sample set of female patients from birth to 18 years old. All obstetric and gynecologic (OB/GYN) International Classification of Disease (ICD-10) codes were categorized. Descriptive, bivariate, and multivariate analyses were used to assess diagnoses by age group, hospital type, ED disposition (eg, admission and transfer), payer, and median household income. RESULTS: In 2018, there were 518,244 OB/GYN ED visits by female patients aged less than or equal to 18 years. Vulvovaginal disorders and abnormal uterine bleeding were among the top 5 presentations in all age groups. The top diagnoses varied by age group. Diagnoses with higher morbidity and mortality (ovarian torsion and ectopic pregnancy) had higher admission and transfer rates compared with diagnoses that can be commonly managed in the outpatient setting (vulvar or vaginal disorders). CONCLUSIONS: This is the first study that evaluated OB/GYN diagnoses in pediatric and adolescent patients presenting to the ED. Educational and referral efforts should focus on not only emergency diagnoses, such as ovarian torsion, adnexal masses, and ectopic pregnancy, but also common presentations that can often be managed in the outpatient setting, such as vulvovaginal disorders and abnormal uterine bleeding.

The Role of Technology in Health Professions Education During the COVID-19 Pandemic.

The COVID-19 pandemic has sparked radical shifts in the ways that both health care and health professions education are delivered. Before the pandemic, some degree programs were offered fully online or in a hybrid format, but in-person learning was considered essential to the education and training of health professionals. Similarly, even as the use of telehealth was slowly expanding, most health care visits were conducted in-person. The need to maintain a safe physical distance during the pandemic rapidly increased the online provision of health care and health professions education, accelerating technology adoption in both academic and professional health care settings. Many health care professionals, educators, and patients have had to adapt to new communication modalities, often with little or no preparation. Before the pandemic, the need for cost-effective, robust methodologies to enable teaching across distances electronically was recognized. During the pandemic, online learning and simulation became essential and were often the only means available for continuity of education and clinical training. This paper reviews the transition to online health professions education and delivery during the COVID-19 pandemic and provides recommendations for moving forward.

Utilization of Automated Keyword Search to Identify E-Scooter Injuries in the Emergency Department.

Background and objective Accurate identification and categorization of injuries from medical records can be challenging, yet it is important for injury epidemiology and prevention efforts. Coding systems such as the International Classification of Diseases (ICD) have well-known limitations. Utilizing computer-based techniques such as natural language processing (NLP) can help augment the identification and categorization of diseases in electronic health records. We used a Python program to search the text to identify cases of scooter injuries that presented to our emergency department (ED). Materials and methods This retrospective chart review was conducted between March 2017 and June 2019 in a single, urban academic ED with approximately 80,000 annual visits. The physician documentation was stored as combined PDF files by date. A Python program was developed to search the text from 186,987 encounters to find the string "scoot" and to extract the 100 characters before and after the phrase to facilitate a manual review of this subset of charts. Results A total of 890 charts were identified using the Python program, of which 235 (26.4%) were confirmed as e-scooter cases. Patients had an average age of 36 years and 53% were male. In 81.7% of cases, the patients reported a fall from the scooter and only 1.7% reported wearing a helmet during the event. The most commonly injured body areas were the upper extremity (57.9%), head (42.1%), and lower extremity (36.2%). The most frequently consulted specialists were orthopedic and trauma surgeons with 28% of cases requiring a consult. In our population, 9.4% of patients required admission to the hospital. Conclusions The number of results and data returned by the Python program was easy to manage and made it easier to identify charts for abstraction. The charts obtained allowed us to understand the nature and demographics of e-scooter injuries in our ED. E-scooters continue to be a popular mode of transportation, and understanding injury patterns related to them may inform and guide opportunities for policy and prevention.

Remote patient monitoring for ED discharges in the COVID-19 pandemic.

COVID-19 has had a significant effect on healthcare resources worldwide, with our knowledge of the natural progression of the disease evolving for the individual patient. To allow for early detection of worsening clinical status, protect hospital capacity and provide extended access for vulnerable patients, our emergency department developed a remote patient monitoring programme for discharged patients with COVID-19. The programme uses a daily emailed secure link to a survey in which patients submit biometric and symptoms data for monitoring. Patients' meeting criteria are escalated to a physician for a phone or video visit. Here, we describe the development, implementation and preliminary analysis of utilisation of the programme.

Lack of Telemedicine Training in Academic Medicine: Are We Preparing the Next Generation?

Background: Telemedicine focuses on providing medical care to patients in remote locations using telecommunication technologies. It has been shown to be cost-effective, improve health outcomes, and enhance patient satisfaction. This study examines the extent to which medical students and resident physicians are exposed to telemedicine during training. Materials and Methods: The authors accessed the American College of Graduate Medical Education (ACGME) Residency Milestones from specialties and subspecialties mentioned in the 2018 Milestones National Report and searched for key terms, including "Technology," "Telemedicine," "Telehealth," "EMR," "Electronic Medical Record," "EHR," "Electronic Health Record," "Electronics," and "Social Media." The authors also accessed the 2018 American Association of Medical Colleges (AAMC) "Curriculum Inventory and Reports" to retrieve data from surveys of medical schools that included telemedicine in required courses and electives for medical students from 2013 to 2018. Results: From the 104 ACGME specialty milestones, only one specialty (Child and Adolescent Psychiatry) mentioned telehealth in its ACGME Milestone document. According to the AAMC data the number of medical schools surveyed increased every academic year from 140 in 2013/2014 to 147 in 2017/2018, telemedicine education in medical school increased significantly from 41% in 2013/2014 to 60% in 2017/2018 (p = 0.0006). However, the growth in telemedicine education plateaued from 56% in 2015/2016 to 60% in 2017/2018 (p = 0.47). Conclusion: Familiarizing medical students with telemedicine is essential; the next generation of health care providers should be equipped with knowledge of telemedicine as a valuable skill to serve populations that do not have direct access to quality medical care. Methods of implementing telemedicine education into more medical schools and residency programs merits further study.