Predictors of intent to utilize the emergency department among a free clinic's patients.

OBJECTIVE: Primary care use helps reduce utilization of more expensive modes of care, such as the emergency department (ED). Although most studies have investigated this association among patients with insurance, few have done so for patients without insurance. We used data from a free clinic network to assess the association between free clinic use and intent to use the ED. METHODS: Data were collected from a free clinic network's electronic health records on adult patients from January 2015 to February 2020. Our outcome was whether patients reported themselves as 'very likely' to visit the ED if the free clinics were unavailable. The independent variable was frequency of free clinic use. Using a multivariable logistic regression model, we controlled for other factors, such as patient demographic factors, social determinants of health, health status, and year effect. RESULTS: Our sample included 5008 visits. When controlling for other factors, higher odds of expressing ED interest were observed for patients who are non-Hispanic Black, older, not married, lived with others, had lower education, were homeless, had personal transportation, lived in rural areas, and had a higher comorbidity burden. In sensitivity analyses, higher odds were observed for dental, gastrointestinal, genitourinary, musculoskeletal, or respiratory conditions. CONCLUSIONS: In the free clinic space, several patient demographic, social determinants of health and medical conditions were independently associated with greater odds of reporting intent on visiting the ED. Additional interventions that improve access and use of free clinics (e.g., dental) may keep patients without insurance from the ED.

Innovation in resuscitation: A novel clinical decision display system for advanced cardiac life support.

INTRODUCTION: The Advanced Cardiac Life Support (ACLS) Clinical Decision Display System (CDDS) is a novel application designed to optimize team organization and facilitate decision-making during ACLS resuscitations. We hypothesized that resuscitation teams would more consistently adhere to ACLS guideline time intervals in simulated resuscitation scenarios with the CDDS compared to without. METHODS: We conducted a simulation-based, non-blinded, randomized, crossover-design study with resuscitation teams comprised of Emergency Medicine physicians, registered nurses, critical care technicians, and paramedics. Each team performed 4 ACLS scenarios in randomized sequences, half with the CDDS and half without. We analyzed the resuscitations and recorded the times of interventions that have defined intervals by ACLS: rhythm checks, epinephrine administration, and shock delivery. In addition, we surveyed each resuscitation team regarding their experience using the CDDS. RESULTS: On average, teams performed rhythm checks 4.9 s closer to ACLS guidelines with the CDDS (p = 0.0358). Teams were also more consistent; on average, teams reduced the variation of time between consecutive doses of epinephrine by 45% (p = 0.0001) and defibrillation by 47% (p < 0.0001). Ninety-eight percent of participants indicated they would use the CDDS if available in real cardiac arrests. CONCLUSIONS: This study demonstrates that the CDDS improves the accuracy and precision of timed ACLS interventions in a simulated setting. Resuscitation teams were strongly in favor of utilizing the CDDS in clinical practice. Further investigations of the introduction of the platform into real time clinical environments will be needed to assess true efficacy and patient outcomes.