Early View
ORIGINAL ARTICLE

The Geriatric Emergency Care Applied Research Standardization Study (GEARSS): An Observational Study of Older Emergency Department Patients

Ula Hwang

Corresponding Author

Ula Hwang

Department of Emergency Medicine, NYU Grossman School of Medicine, New York, New York, USA

Geriatric Research, Education and Clinical Center, James J. Peters VA Medical Center, Bronx, New York, USA

Correspondence:

Ula Hwang ([email protected])

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Natalia Sifnugel

Natalia Sifnugel

Department of Emergency Medicine, NYU Grossman School of Medicine, New York, New York, USA

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Inessa Cohen

Inessa Cohen

Department of Emergency Medicine, Yale University School of Medicine, New Haven, Connecticut, USA

Department of Biomedical Informatics and Data Science, Yale University School of Medicine, New Haven, Connecticut, USA

Program of Computational Biology and Bioinformatics, Yale University, New Haven, Connecticut, USA

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Ling Han

Ling Han

Department of Internal Medicine, Section of Geriatrics, Yale University School of Medicine, New Haven, Connecticut, USA

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Katy Araujo

Katy Araujo

Department of Internal Medicine, Section of Geriatrics, Yale University School of Medicine, New Haven, Connecticut, USA

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Luann M. Bianco

Luann M. Bianco

Department of Internal Medicine, Section of Geriatrics, Yale University School of Medicine, New Haven, Connecticut, USA

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Cynthia A. Brandt

Cynthia A. Brandt

Department of Biomedical Informatics and Data Science, Yale University School of Medicine, New Haven, Connecticut, USA

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Sandra Capelli

Sandra Capelli

Department of Internal Medicine, Section of Geriatrics, Yale University School of Medicine, New Haven, Connecticut, USA

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Christopher R. Carpenter

Christopher R. Carpenter

Department of Emergency Medicine, Mayo Clinic, Rochester, Minnesota, USA

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Daniel S. Cruz

Daniel S. Cruz

Department of Emergency Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA

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Scott M. Dresden

Scott M. Dresden

Department of Emergency Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA

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Ivy L. Fishman

Ivy L. Fishman

Department of Emergency Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA

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Katrina Gipson

Katrina Gipson

Department of Emergency Medicine, Emory University School of Medicine, Atlanta, Georgia, USA

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S. Nicole Hastings

S. Nicole Hastings

Division of General Internal Medicine, Department of Medicine, Duke University School of Medicine, Durham, North Carolina, USA

Center of Innovation to Accelerate Discovery and Practice Transformation, Durham VA Health Care System, Durham, North Carolina, USA

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William W. Hung

William W. Hung

Geriatric Research, Education and Clinical Center, James J. Peters VA Medical Center, Bronx, New York, USA

Brookdale Department of Geriatrics and Palliative Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, USA

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Raymond Kang

Raymond Kang

Center for Community Health, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA

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Mechelle Lockhart

Mechelle Lockhart

Division of Geriatrics and Gerontology, Department of Medicine, Emory University School of Medicine, Atlanta, Georgia, USA

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Daniella Meeker

Daniella Meeker

Department of Biomedical Informatics and Data Science, Yale University School of Medicine, New Haven, Connecticut, USA

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Ugochi Ohuabunwa

Ugochi Ohuabunwa

Division of Geriatrics and Gerontology, Department of Medicine, Emory University School of Medicine, Atlanta, Georgia, USA

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Sierra Ottilie-Kovelman

Sierra Ottilie-Kovelman

Department of Internal Medicine, Section of Geriatrics, Yale University School of Medicine, New Haven, Connecticut, USA

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Caitlin Partridge

Caitlin Partridge

Joint Data Analysis Team (JDAT), Yale Biomedical Informatics and Computing, Research Informatics Office, Yale University, New Haven, Connecticut, USA

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Timothy F. Platts-Mills

Timothy F. Platts-Mills

Ophirex, Inc., Corte Madera, California, USA

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Jacqueline Sandoval

Jacqueline Sandoval

Department of Emergency Medicine, Yale University School of Medicine, New Haven, Connecticut, USA

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Zachary Taylor

Zachary Taylor

Department of Emergency Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA

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Debra F. Tomasino

Debra F. Tomasino

Department of Emergency Medicine, NYU Grossman School of Medicine, New York, New York, USA

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Camille P. Vaughan

Camille P. Vaughan

Division of Geriatrics and Gerontology, Department of Medicine, Emory University School of Medicine, Atlanta, Georgia, USA

VA Atlanta Health Care System, Birmingham/Atlanta Geriatric Research Education and Clinical Center (GRECC) Atlanta, Atlanta, Georgia, USA

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First published: 12 July 2025

Funding: Supported by National Institute on Aging (NIA) of the National Institutes of Health (NIH; R33AG058926). The funders had no role in the design and conduct of the study; collection, management, analysis, and interpretation of the data; and preparation or approval of the manuscript.

Supervising Editor: Beau Abar

Presentation: Geriatric Emergency Care Applied Research Network Consensus Conference, October 25–26, 2019, Denver, CO, USA, Society for Academic Emergency Medicine Conference, May 13–16, 2025, Philadelphia, PA, USA.

ABSTRACT

Objectives

Multicenter research of geriatric emergency department (GED) care remains limited. Our objectives were to: 1. Prospectively collect data prioritized by the Geriatric Emergency care Applied Research (GEAR) network, a transdisciplinary taskforce for GED care, and create a multicenter GED research repository of prospective and electronic health record (EHR) data, 2. Assess concordance between prospective and EHR data.

Methods

The GEAR Standardization Study (GEARSS) is a multicenter, prospective study of older emergency department (ED) patients (65+) focusing on the 4Ms of age-friendly care (mobility, medication safety, mentation, what matters) and elder mistreatment. Demographic and clinical data were collected via interviews by trained research assistants (RA) on Days 0, 4, 30, and 90 and linked to EHR. Prevalence of chronic comorbidities and incident delirium were measured and reported using descriptive statistics. Prospective and EHR data concordance was assessed with Cohen's Kappa.

Results

999 participants were recruited from 5 EDs (3/25/2021–6/30/2022) across 3 institutions: Grady Health System, Northwestern Memorial Hospital, and Yale New Haven Health. The cohort was 57.0% female, 55.2% White, 39.1% Black, and 3.4% Hispanic, and the mean age was 75.1 years. For rheumatologic disease, peptic ulcer disease, diabetes, renal disease, and cancer, prevalence differed between prospective and EHR data by > 10%. About two-thirds of participants were at risk for falls. Concordance between prospective and EHR data was good for ethnicity (K = 0.73); excellent for sex (K = 1.00), age (K = 1.00), and race (K = 0.98); fair for disposition (K = 0.53); slight for ED observation status (K = 0.33) and dementia diagnosis (K = 0.24); poor for delirium presence (K = 0.07).

Conclusion

In GEARSS, demographic variables aligned strongly between prospective and EHR data, while diagnosis, disposition, and mentation factors did not. This multicenter data source provides preliminary findings for common geriatric syndromes and conditions. Choice of measures using these data should be driven by GED research questions.

Conflicts of Interest

C.R.C. is Associate Editor for the Journal of the American Geriatrics Society, leads the Society for Academic Emergency Medicine Guidelines for Reasonable and Appropriate Care in the Emergency Department committee, serves on the American College of Emergency Physicians Clinical Policy Committee, is Chair of the American College of Emergency Physicians Geriatric Emergency Department Accreditation Advisory Board, serves on the Clinician–Scientist Transdisciplinary Aging Research Leadership Core, and is an editor for the American College of Emergency Physicians MyEMCert program.

Data Availability Statement

The data that support the findings of this study are available from the corresponding author upon reasonable request.

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