ArticleAcademic emergency medicine : official journal of the Society for Academic Emergency Medicine2023
Leveraging VA geriatric emergency department accreditation to improve elder abuse detection in older Veterans using a standardized tool.
Article in Academic emergency medicine : official journal of the Society for Academic Emergency Medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.
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The trial behind it
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Who cites it
8 citing papers in PubMed, 1 synthesis or guideline pooled it, 8 citations in OpenAlex.
- Screening and Interventions for Elder Mistreatment: Geriatric Emergency Department Guidelines 2.0 Systematic Review.Academic emergency medicine : official journal of the Society for Academic Emergency Medicine · 2026Pooled it
- Detecting Elder Abuse in an Italian Emergency Department: A Six-Year Retrospective Study and Implications for Systematic Screening.Geriatrics (Basel, Switzerland) · 2026Article
- Primary Care's Untapped Role in Elder Mistreatment Identification and Response.Journal of the American Geriatrics Society · 2026Article
- Interventional Strategies and Educational Programmes to Guide Nurses in the Management of Elder Abuse: A Scoping Review.Nursing open · 2026Article
- Nurse-Administered Screening Tools for Detecting Elder Abuse in Emergency Departments: A Scoping Review.Journal of advanced nursing · 2025Article
- Relationship Between Social Risk Factors and Emergency Department Use: National Health Interview Survey 2016-2018.The western journal of emergency medicine · 2025Article
- Healthcare Clinicians' Perspectives on Managing Suspected Elder Abuse: "We Don't Want to Just Swoop in and Do What We Think Is Best".Innovation in aging · 2025Article
- Screening for Elder Abuse in the Veterans Health Administration: Varied Approaches Across a National Health System.Journal of general internal medicine · 2024Article
Corrections and comments
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Authors and funding
11 authors at 7 institutions in 1 country.
Funding
Abstract
Elder abuse (EA) is common and has devastating health impacts, yet most cases go undetected limiting opportunities to intervene. Older Veterans receiving care in the Veterans Health Administration (VHA) represent a high-risk population for EA. VHA emergency department (ED) visits provide a unique opportunity to identify EA, as assessment for acute injury or illness may be the only time isolated older Veterans leave their home, but most VHA EDs do not have standardized EA assessment protocols. To address this, we assembled an interdisciplinary team of VHA social workers, physicians, nurses, intermediate care technicians (ICTs; former military medics and corpsmen who often conduct screenings in VHA EDs) and both VHA and non-VHA EA subject matter experts to adapt the Elder Mistreatment Screening and Response Tool (EM-SART) to pilot in the Louis Stokes Cleveland VA Medical Center geriatric ED (GED) program. The cornerstone of their approach is an interdisciplinary GED consultation led by ICTs and nurses who screen high-risk older Veterans for geriatric syndromes and unmet needs. The adapted EM-SART was integrated into the electronic health record and GED workflow in December 2020. By July 2022, a total of 251 Veterans were screened with nine (3.6%) positive on the prescreen and five (2%) positive on the comprehensive screen. Based on the first-year pilot experience, the interdisciplinary team was expanded and convened regularly to further adapt the EM-SART for wider use in VHA, including embedding flexibility for both licensed and nonlicensed clinicians to complete the screening tool and tailoring response options to be specific to VHA policy and resources. The national momentum for VHA EDs to improve care for older Veterans and secure GED accreditation offers unique opportunities to embed this evidence-based approach to EA assessment in the largest integrated health system in the United States.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.