Code De-Escalation: Decreasing restraint use during agitation management in a community hospital emergency department.

INTRODUCTION: Restraint use in the emergency department (ED) can pose significant risks to patients and health care workers. We evaluate the effectiveness of Code De-escalation- a standardized, team-based approach for management and assessment of threatening behaviors- in reducing physical restraint use and workplace violence in a community ED. METHODS: A retrospective observational study of a pathway on physical restraint use among patients placed on an involuntary psychiatric hold in a community ED. This pathway includes a built-in step for the team members to systematically assess perceptions of threats from the patient behavior and threats perceived by the patient. Our primary outcome was the change in the rate of physical restraint use among patients on an involuntary psychiatric hold. Our secondary outcome was the change in the rate of workplace violence events involving all ED encounters. We evaluated our outcomes by comparing all encounters in a ten-month period before and after implementation, and compared our results to rates at neighboring community hospitals within the same hospital network. RESULTS: Pre intervention there were 434 ED encounters involving a psychiatric hold, post-intervention there were 535. We observed a significant decrease in physical restraint use, from 7.4% to 3.7% (ARR 0.028 [95% CI 0.002-0.055], p < 0.05). This was not seen at the control sites. CONCLUSIONS: A standardized de-escalation algorithm can be effective in helping ED's decrease their use of physical restraints in management of psychiatric patients experiencing agitation.

Race and Ethnicity and Primary Language in Emergency Department Triage.

Importance: Emergency department (ED) triage substantially affects how long patients wait for care but triage scoring relies on few objective criteria. Prior studies suggest that Black and Hispanic patients receive unequal triage scores, paralleled by disparities in the depth of physician evaluations. Objectives: To examine whether racial disparities in triage scores and physician evaluations are present across a multicenter network of academic and community hospitals and evaluate whether patients who do not speak English face similar disparities. Design, Setting, and Participants: This was a cross-sectional, multicenter study examining adults presenting between February 28, 2019, and January 1, 2023, across the Mass General Brigham Integrated Health Care System, encompassing 7 EDs: 2 urban academic hospitals and 5 community hospitals. Analysis included all patients presenting with 1 of 5 common chief symptoms. Exposures: Emergency department nurse-led triage and physician evaluation. Main Outcomes and Measures: Average Triage Emergency Severity Index [ESI] score and average visit work relative value units [wRVUs] were compared across symptoms and between individual minority racial and ethnic groups and White patients. Results: There were 249 829 visits (149 861 female [60%], American Indian or Alaska Native 0.2%, Asian 3.3%, Black 11.8%, Hispanic 18.8%, Native Hawaiian or Other Pacific Islander <0.1%, White 60.8%, and patients identifying as Other race or ethnicity 5.1%). Median age was 48 (IQR, 29-66) years. White patients had more acute ESI scores than Hispanic or Other patients across all symptoms (eg, chest pain: Hispanic, 2.68 [95% CI, 2.67-2.69]; White, 2.55 [95% CI, 2.55-2.56]; Other, 2.66 [95% CI, 2.64-2.68]; P < .001) and Black patients across most symptoms (nausea/vomiting: Black, 2.97 [95% CI, 2.96-2.99]; White: 2.90 [95% CI, 2.89-2.91]; P < .001). These differences were reversed for wRVUs (chest pain: Black, 4.32 [95% CI, 4.25-4.39]; Hispanic, 4.13 [95% CI, 4.08-4.18]; White 3.55 [95% CI, 3.52-3.58]; Other 3.96 [95% CI, 3.84-4.08]; P < .001). Similar patterns were seen for patients whose primary language was not English. Conclusions and Relevance: In this cross-sectional study, patients who identified as Black, Hispanic, and Other race and ethnicity were assigned less acute ESI scores than their White peers despite having received more involved physician workups, suggesting some degree of mistriage. Clinical decision support systems might reduce these disparities but would require careful calibration to avoid replicating bias.

Evaluation of Process Improvement Interventions on Handoff Times between the Emergency Department and Observation Unit.

BACKGROUND: Mitigating hospital crowding requires judicious use of inpatient resources, making Emergency Department Observation Units (EDOUs) an increasingly vital destination for patients that are not suitable for discharge. Maximizing the utility of the EDOU hinges on efficient patient transfers and safe provider communication, which may be accomplished with asynchronous handoff and an emphasis on pull-through operations. OBJECTIVE: The purpose of this study was to assess the impact of an electronic, asynchronous handoff replacing verbal handoff on transfer times from the Emergency Department (ED) to the EDOU. METHODS: A retrospective observational study was performed with patients transferred to the EDOU throughout several process improvement measures focused on asynchronous handoff. Multivariable linear regression analysis was used to determine the effect that these process improvements had on the time from EDOU bed assignment to patient transfer. RESULTS: There were 14,996 EDOU stays during the 20-month period included in the analysis. Time from EDOU bed assignment to patient transfer decreased significantly with all three interventions studied. An auto-page to the clinicians notifying them of a ready bed reduced the mean time to transfer by 10.1 min (p < 0.0001), asynchronous nursing handoff reduced it by 3.57 min (p = 0.0299), and asynchronous clinician handoff reduced it by 14.67 min (p < 0.0001). CONCLUSION: Introducing automatic pages regarding bed status and converting the handoff process from a verbal model to an asynchronous, electronic handoff were effective ways to reduce the time from bed assignment to transfer out of the ED for patients being sent to the EDOU.