Effect of an Emergency Department Process Improvement Package on Suicide Prevention: The ED-SAFE 2 Cluster Randomized Clinical Trial.

Importance: Suicide is a leading cause of deaths in the US. Although the emergency department (ED) is an opportune setting, ED-initiated interventions remain underdeveloped and understudied. Objective: To determine if an ED process improvement package, with a subfocus on improving the implementation of collaborative safety planning, reduces subsequent suicide-related behaviors. Design, Setting, and Participants: The Emergency Department Safety Assessment and Follow-up Evaluation 2 (ED-SAFE 2) trial, a stepped-wedge cluster randomized clinical trial conducted in 8 EDs across the US, used an interrupted time series design with three 12-month sequential phases: baseline, implementation, and maintenance. A random sample of 25 patients per month per site 18 years and older who screened positive on the Patient Safety Screener, a validated suicide risk screener, were included. The primary analyses focused on those who were discharged from the ED, while secondary analyses focused on all patients who screened positive, regardless of disposition. Data were collected on patients who presented for care from January 2014 to April 2018, and data were analyzed from April to December 2022. Interventions: Each site received lean training and built a continuous quality improvement (CQI) team to evaluate the current suicide-related workflow in the ED, identify areas of improvement, and implement efforts to improve. Each site was expected to increase their universal suicide risk screening and implement collaborative safety planning for patients at risk of suicide who were discharged home from the ED. Site teams were centrally coached by engineers experienced in lean CQI and suicide prevention specialists. Main Outcomes and Measures: The primary outcome was a composite comprising death by suicide or suicide-related acute health care visits, measured over a 6-month follow-up window. Results: Across 3 phases, 2761 patient encounters were included in the analyses. Of these, 1391 (50.4%) were male, and the mean (SD) age was 37.4 (14.5) years. A total of 546 patients (19.8%) exhibited the suicide composite during the 6-month follow-up (9 [0.3%] died by suicide and 538 [19.5%] of a suicide-related acute health care visit). A significant difference was observed for the suicide composite outcome between the 3 phases (baseline, 216 of 1030 [21%]; implementation, 213 of 967 [22%]; maintenance, 117 of 764 [15.3%]; P = .001). The adjusted odds ratios of risk of the suicide composite during the maintenance phase was 0.57 (95% CI, 0.43-0.74) compared with baseline and 0.61 (0.46-0.79) compared with the implementation phase, which reflect a 43% and 39% reduction, respectively. Conclusions and Relevance: In this multisite randomized clinical trial, using CQI methods to implement a department-wide change in suicide-related practices, including the implementation of a safety plan intervention, yielded a significant decrease in suicide behaviors in the maintenance period of the study. Trial Registration: ClinicalTrials.gov Identifier: NCT02453243.

Studying the implementation of Zero Suicide in a large health system: Challenges, adaptations, and lessons learned.

Background: Suicide remains the 10th leading cause of death in the United States. Many patients presenting to healthcare settings with suicide risk are not identified and their risk mitigated during routine care. Our aim is to describe the planned methodology for studying the implementation of the Zero Suicide framework, a systems-based model designed to improve suicide risk detection and treatment, within a large healthcare system. Methods: We planned to use a stepped wedge design to roll-out the Zero Suicide framework over 4 years with a total of 39 clinical units, spanning emergency department, inpatient, and outpatient settings, involving ∼310,000 patients. We used Lean, a widely adopted a continuous quality improvement (CQI) model, to implement improvements using a centralize "hub" working with smaller "spoke" teams comprising CQI personnel, unit managers, and frontline staff. Results: Over the course of the study, five major disruptions impacted our research methods, including a change in The Joint Commission's safety standards for suicide risk mitigation yielding massive system-wide changes and the COVID-19 pandemic. What had been an ambitious program at onset became increasingly challenging because of the disruptions, requiring significant adaptations to our implementation approach and our study methods. Conclusions: Real-life obstacles interfered markedly with our plans. While we were ultimately successful in implementing Zero Suicide, these obstacles led to adaptations to our approach and timeline and required substantial changes in our study methodology. Future studies of quality improvement efforts that cut across multiple units and settings within a given health system should avoid using a stepped-wedge design with randomization at the unit level if there is the potential for sentinel, system-wide events.

Emergency department safety assessment and follow-up evaluation 2: An implementation trial to improve suicide prevention.

BACKGROUND: Emergency departments (EDs) are important for preventing suicide. Historically, many patients with suicide risk are not detected during routine clinical care, and those who are often do not receive suicide-specific intervention. The original Emergency Department Safety Assessment and Follow-up Evaluation (ED-SAFE 1) study examined the implementation of universal suicide risk screening and a multi-component ED-initiated suicide prevention intervention. PURPOSE: The ED-SAFE 2 aims to study the impact of using a continuous quality improvement approach (CQI) to improve suicide related care, with a focus on improving universal suicide risk screening in adult ED patients and evaluating implementation of a new brief intervention called the Safety Planning Intervention (SPI) into routine clinical practice. CQI is a quality management process that uses data and collaboration to drive incremental, iterative improvements. The SPI is a personalized approach that focuses on early identification of warning signs and execution of systematic steps to manage suicidal thoughts. ED-SAFE 2 will provide data on the effectiveness of CQI procedures in improving suicide-related care processes, as well as the impact of these improvements on reducing suicide-related outcomes. METHODS: Using a stepped wedge design, eight EDs collected data cross three study phases: Baseline (retrospective), Implementation (12 months), and Maintenance (12 months). Lean methods, a specific approach to pursuing CQI which focuses on increasing value and eliminating waste, were used to evaluate and improve suicide-related care. CONCLUSIONS: The results will build upon the success of the ED-SAFE 1 and will have a broad public health impact through promoting better suicide-related care processes and improved suicide prevention.

A Queue-Based Monte Carlo Analysis to Support Decision Making for Implementation of an Emergency Department Fast Track.

Emergency departments (EDs) are seeking ways to utilize existing resources more efficiently as they face rising numbers of patient visits. This study explored the impact on patient wait times and nursing resource demand from the addition of a fast track, or separate unit for low-acuity patients, in the ED using a queue-based Monte Carlo simulation in MATLAB. The model integrated principles of queueing theory and expanded the discrete event simulation to account for time-based arrival rates. Additionally, the ED occupancy and nursing resource demand were modeled and analyzed using the Emergency Severity Index (ESI) levels of patients, rather than the number of beds in the department. Simulation results indicated that the addition of a separate fast track with an additional nurse reduced overall median wait times by 35.8 ± 2.2 percent and reduced average nursing resource demand in the main ED during hours of operation. This novel modeling approach may be easily disseminated and informs hospital decision-makers of the impact of implementing a fast track or similar system on both patient wait times and acuity-based nursing resource demand.

Composite model for profiling physicians across domains of care.

Physician profiling methods are envisioned as a means of promoting healthcare quality by recognizing the contributions of individual physicians. Developing methods that can reliably distinguish among physicians' performance is challenging because of small sample sizes, incomplete data, and physician panel differences. In this study, we developed a hierarchical, weighted composite model to reliably compare primary care physicians across domains of care, and we demonstrated its use within a clinical system. We evaluated 199 primary care physicians from a large integrated healthcare delivery system using 19 quality and two efficiency measures taken from the Healthcare Effectiveness Data and Information Set and existing pay-for-performance programs. Individual measures were calculated, compared to benchmarks, and grouped into two composites: one focused on quality and one on efficiency. Each composite was fitted to the model, assessed for reliability (signal-to-noise ratio), and weighted to create a single summary score for each primary care physician. The quality-of-care composite had a median reliability of .98, with 99.5% of all physician reliability estimates exceeding threshold. The efficiency composite had a median reliability of .97, with 94.9% of all physician reliability estimates exceeding threshold. Our results demonstrate that reliable physician profiling is possible across care domains using a hierarchical composite model based on multiple data. The model was used to distribute incentive payouts among primary care physicians but is adaptable to many settings.

Migrant farmworker housing regulation violations in North Carolina.

BACKGROUND: The quality of housing provided to migrant farmworkers is often criticized, but few studies have investigated these housing conditions. This analysis examines housing regulation violations experienced by migrant farmworkers in North Carolina, and the associations of camp characteristics with the presence of housing violations. METHODS: Data were collected in183 eastern North Carolina migrant farmworker camps in 2010. Housing regulation violations for the domains of camp, sleeping room, bathroom, kitchen, laundry room, and general housing, as well as total violations were assessed using North Carolina Department of Labor standards. RESULTS: Violations of housing regulations were common, ranging from 4 to 22 per camp. Housing regulation violations were common in all domains; the mean number of camp violations was 1.6, of sleeping room violations was 3.8, of bathroom violations was 4.5, of kitchen violations was 2.3, of laundry room violations was 1.2, and of general housing violations was 3.1. The mean number of total housing violations was 11.4. Several camp characteristics were consistently associated with the number of violations; camps with workers having H-2A visas, with North Carolina Department of Labor Certificates of Inspection posted, and assessed early in the season had fewer violations. CONCLUSIONS: These results argue for regulatory changes to improve the quality of housing provided to migrant farmworkers, including stronger regulations and the more vigorous enforcement of existing regulations.