NYMC Faculty Publications

Beyond Capacity: An EAST Multicenter Mixed-Methods Study Exploring Surgeon Perceptions on Patient Ratios in Acute Care Surgery

Authors

Danielle J. Wilson, Medical College of Wisconsin
Jaclyn A. Gellings, Medical College of Wisconsin
Jamie Coleman, University of Louisville School of Medicine
Kaushik Mukherjee, Loma Linda University Health
Stephanie Bonne, Advocate Lutheran General Hospital
Melissa Boltz, Penn State Health Milton S. Hershey Medical Center
Jennifer L. Hartwell, University of Kansas School of Medicine
Brandon Bruns, UT Southwestern Medical Center
Jason Kurle, Detroit Medical Center
Moustafa Hassan, Norton College of Medicine
Samuel Rob Todd, Grady Health System
Baila Maqbool, The University of New Mexico
Bryan C. Morse, Maine Medical Center
Michael W. Cripps, University of Colorado Anschutz Medical Campus
Mayur Patel, Vanderbilt University Medical Center
Daniel R. Margulies, Cedars-Sinai Medical Center
Jordan T. Lilienstein, University of California, San Francisco
Negaar Aryan, UCI School of Medicine
Ben L. Zarzaur, University of Wisconsin-Madison
Charles V. Bayouth, Covenant Medical Center
John Porter, Cooper University Hospital
Kristan Staudenmayer, Stanford University
Dalier R. Mederos, Broward Health Medical Center
Charles Fasanya, Good Samaritan University Hospital
Kyle Leneweaver, Sacred Heart Hospital - Pensacola
Lewis E. Jacobson, Ascension St. Vincent Heart Center
Michael Steven Farrell, Lehigh Valley Hospital and Health Network
Scott Norwood, University of Texas Health Center at Tyler
John David Cull, Prisma Health Upstate
Jason Hoth, Wake Forest Baptist Health
Tovy Kamine, UMass Chan Medical School - Baystate
Kartik Prabhakaran, New York Medical College

Author Type(s)

Faculty

DOI

10.1136/tsaco-2025-001937

Journal Title

Trauma Surgery and Acute Care Open

Document Type

Article

Publication Date

11-13-2025

Department

Surgery

Keywords

Delivery of Health Care, Practice Patterns, Physicians', quality improvement, workload

Disciplines

Medicine and Health Sciences

Abstract

Background Optimal provider-to-patient (PtP) ratios in acute care surgery (ACS) remain undefined despite their importance for care quality and provider sustainability. This study aimed to understand surgeon perspectives on maximum ideal ratios across trauma, emergency general surgery (EGS) and surgical intensive care unit (SICU) services. Methods This multicenter mixed-methods study combined quantitative surveys and semistructured interviews with ACS surgeons at level I/II trauma centers across the USA (1 August 2023–19 April 2024). Service line census data were also collected. Interviews were recorded, transcribed and qualitative analysis performed; surveys were analyzed with descriptive statistics. Results Fifty-two interviews were completed. Survey response rate was 50.3% (212/421 eligible division leadership and faculty) from 40 centers across 24 states. The perceived maximum safe patient load for trauma and EGS was <20 patients when working independently, and up to 40 patients with full team support. SICU ratios were lower with most reporting ≤10 patients for independent coverage and ≤20 with team support. Regarding appropriate patient loads for junior residents and advanced practice providers, most respondents recommended ≤10 patients for trauma/EGS and ≤7 for SICU. For senior residents, most recommended ≤13 patients for trauma/EGS and ≤7 for SICU. Notably, 72% of centers exceeded their own leadership-recommended maximums for at least one service line. Qualitative analysis revealed patient acuity, team experience and competing demands as key workload modulators, with concerns about care quality degradation and burnout at higher ratios. Conclusions This study establishes potential upper threshold benchmarks for ACS PtP ratios with strong agreement across institutions. Division leadership should consider developing staffing models that account for patient acuity and service complexity while implementing escalation protocols for sustained high workloads. Current practices frequently exceed maximum ideal ratios, highlighting the need for evidence-based staffing guidelines that balance financial constraints with mounting evidence linking workload intensity and density to adverse outcomes. Level of evidence IV.

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