Improving Patient Flow and Reducing Emergency Department Crowding An Evaluation of Interventions at Six Hospitals AHRQ Annual Meeting September 27, 2010.

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Presentation transcript:

Improving Patient Flow and Reducing Emergency Department Crowding An Evaluation of Interventions at Six Hospitals AHRQ Annual Meeting September 27, 2010 Megan McHugh, HRET Kevin Van Dyke, HRET Julie Yonek, Northwestern University Embry Howell, Urban Institute Fiona Adams, Urban Institute

The Problem Half of hospitals report operating at or above capacity (AHA 2007). A minority of hospitals meet recommended wait times for all ED patients (Horwitz et. al. 2009). Approximately 500,000 ambulances are diverted each year (Burt et. al. 2006). On a “typical” Monday, 73% of EDs are boarding two or more admitted patients (Schneider et. al. 2003).

The Consequences Increased door-to-needle times for patients with suspected acute myocardial infarction (Schull et. al. 2004) Lower likelihood of patients with community- acquired pneumonia to receive timely antibiotic therapy (Fee et. al. 2007, Pines et. al. 2007) Poor pain management (Hwang et. al. 2008) Increased mortality (Richardson et. al. 2006, Sprivulis et. al. 2006) Lower patient and staff satisfaction (Boudreaux et. al. 2004, Richards et. al. 2000)

Research Questions (1)What factors facilitated or hindered the implementation of strategies? (2)What resources were used to implement the strategies, and what was the associated cost? (3)What changes in patient flow occurred after the implementation of the strategies?

Urgent Matters Learning Network (UMLN)

UMLN Hospital Requirements Form a multi-disciplinary, hospital-wide team Select and implement improvement strategies Complete an implementation plan and monthly progress reports Participate in UMLN meetings Participate in the evaluation of the strategies

UMLN Framework

UMLN Interventions Protocols for specialty consultations Standardized registration and triage Mid-Track ED/Inpatient department communication tool ESI Five-level triage Immediate bedding Fast track improvement (2 hospitals)

Methods – Data & Analysis Two rounds of interviews (129 total) Recorded, transcribed, uploaded to Atlas Grounded theory approach “Ingredient” approach Patient-level data: Pre-Implementation (Dec 08 – Feb 09) Post-Implementation (Dec 09 – Feb 10) Dependent variables: ED LOS, LWBS Independent variables: Date/time of visit, age, gender, triage level, lab, x-ray, disposition, occupancy rate

Common Facilitators/Barriers to Implementation Facilitators: Participation in UMLN Executive support/availability of resources Strategic selection of planning team Barriers: Staff resistance Organizational culture Lack of staff resources

StrategyDescription of Expense Total Expense Fast track improvement (1) Construction project 3 Nurse practitioners $490,000 Mid-TrackConstruction project GYN stretcher EM physician $320,683 Registration & triage Computers on wheels Triage training $32,850 ED/Inpatient Communication Fax machine$200 Implementation Expenses No new resources were acquired for the following strategies: Fast track improvement (2), Protocols for specialty consults, ESI Five-level triage, Immediate bedding

PositionHours ED nurses963 ED charge nurses/Nurse educators 680 ED technicians352 Physician specialists315 Process/quality improvement leaders 280 ED administrative directors271 ED nurse managers238 Registration managers108 Hours Spent Planning and Implementing

StrategyTotal Hours Immediate bedding40 Mid-Track65 Fast track improvement (1)160 ED/Inpatient communication tool239 Protocols for specialty consultations256 Fast track improvement (2)371 Standardized registration & triage857 ESI Five-Level triage1,017 Hours Spent Planning and Implementing

PositionHours ED physicians107 Inpatient unit floor managers100 ED department chairs/physician directors 87 Hospital c-suite59 ED nurse practitioner/physicians assistants 49 Hospital director-level32 Data/IT analysts13 ED clerks5 Hours Spent Planning and Implementing

LOS in Minutes Regression-Adjusted Mean ED Length of Stay, Pre and Post Implementation Change in ED Length of Stay Notes: The interventions displayed above were associated with a significant reduction in ED LOS at the p<.05 level. Data are shown for all ED patients, except Mid-Track, which includes data for ESI III s only. All other interventions were not found to be significantly associated with a reduced ED LOS.

Lessons for Other Hospitals Leverage factors that facilitate implementation. Develop a plan to address challenges early. Recognize that some strategies require significant financial and/or time investment. Recognize the important roles played by non- MDs and RNs (e.g., registrars, clerks, techs). The effort may result in statistically significant and meaningful improvements in patient flow.

Megan McHugh, PhD Director, Research Health Research & Educational Trust American Hospital Association