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Older Adults ED Stays Rise in US - News Directory 3

Older Adults ED Stays Rise in US

July 11, 2025 Jennifer Chen Health
News Context
At a glance
Original source: medscape.com

Older Adults Face escalating Emergency Department Delays: A Growing Crisis

Table of Contents

  • Older Adults Face escalating Emergency Department Delays: A Growing Crisis
    • The Scope of the Problem: Extended⁢ Stays⁣ and Boarding
      • academic hospitals at the forefront of the Crisis
    • Unpacking the Trends: A Pre- and Post-Pandemic Analysis
    • The Human and Systemic Impact
    • Understanding the Study’s Nuances and Limitations

new research reveals⁣ a notable and concerning rise in prolonged emergency department (ED) stays and boarding times for older adults across the⁣ United States, with academic hospitals bearing the brunt of this escalating challenge.

A complete study analyzing⁤ millions of patient ‍admissions has found that the proportion of older‍ adults experiencing extended waits in⁤ emergency departments has climbed substantially between⁤ 2017 and ⁤2024.This⁤ trend,notably pronounced in academic medical ⁢centers,signals a deepening strain on healthcare systems and raises critical questions about patient care and system⁣ efficiency.

The Scope of the Problem: Extended⁢ Stays⁣ and Boarding

The study, which examined data from⁤ 1,633 U.S. hospitals and a staggering ⁤78 million admissions, focused ‍on patients ⁢aged 65 and older. Researchers meticulously tracked two key⁢ indicators of⁤ ED ⁢inefficiency:

Extended ED Length of Stay (LOS): Defined as⁣ remaining in the emergency department for more than 8 hours. Boarding Time: Referring to patients who are admitted to the hospital but remain in the ED awaiting an inpatient bed, also ‍exceeding 3 hours.

The findings paint a stark picture of worsening conditions. From 2017 ⁤to 2024,the percentage of older adults experiencing ED stays longer than 8 hours ⁣more than doubled,rising⁣ from 12% to 20%. Similarly,boarding delays saw a dramatic increase,climbing from⁢ 22% to 36% over the same period.

academic hospitals at the forefront of the Crisis

Academic hospitals, often ‍serving as tertiary care centers and teaching ‍institutions, demonstrated the⁣ most significant deterioration in ED performance for older patients. These facilities⁤ witnessed an increase in ⁢ED LOS exceeding⁤ 8 hours from 19% in 2017 to ⁤30% in 2024. boarding times in academic EDs also surged, escalating ⁤from 31% to 45% during the studyS timeframe.

Unpacking the Trends: A Pre- and Post-Pandemic Analysis

The research further delved into⁣ the temporal patterns of⁤ these‍ delays, revealing a critical inflection point coinciding with‍ the COVID-19 pandemic.

Pre-Pandemic Growth (2017-2020): ⁣ Between 2017 and 2020, modest annual⁢ increases were observed ‍in ED LOS and boarding time, at 1.1% and 2.8% respectively. This indicated a gradual, underlying pressure on emergency services.
Pandemic Acceleration (2020-2022): The onset of the COVID-19 pandemic triggered a sharp acceleration ‍in these delays. From 2020 to 2022, ED LOS and boarding time saw considerable annual increases of 4.2% and 6.1%, respectively.‍ This‍ period⁢ likely reflects‍ the overwhelming surge in patient volumes, staffing challenges, ⁣and‍ the implementation of ⁤infection control measures that impacted patient flow.
Post-Pandemic Stabilization and Partial Decline ⁤(2022-2024): Following the‍ peak of the pandemic, the data indicates‍ a partial reversal of the sharpest increases, with modest ⁣annual declines of -1.7% in⁤ ED LOS and -3.2% in boarding time observed between 2022 and 2024. However, these declines have not erased the significant gains in delays experienced during the ⁤pandemic, leaving overall wait times considerably higher than pre-pandemic levels.

The Human and Systemic Impact

The implications of these‍ prolonged ED stays and ⁢boarding times are far-reaching and deeply ⁣concerning. As the study’s authors aptly stated, “Worsening ED ⁢LOSs and boarding ⁤contribute to ED crowding, reflect systemic health care dysfunction, and, most importantly, harm ⁣individual patients.”

These delays can lead to:

Delayed Diagnosis and Treatment: Critical time is lost for patients requiring urgent ⁣medical attention.
Increased Patient acuity: ⁣ Patients may deteriorate while⁣ waiting for care or an inpatient⁤ bed.
Reduced ⁤Patient Satisfaction: Long ⁢waits erode trust and confidence in the healthcare system.
Staff Burnout: Overcrowded and inefficient EDs place⁤ immense pressure⁢ on healthcare professionals.
Compromised Quality of Care: The ability to provide timely and effective care is diminished.

“Addressing these⁤ trends is critical to safeguarding both⁤ the health⁤ of older adults and the health systems caring for them,” the authors emphasized, highlighting the‍ urgent need for systemic ⁢solutions.

Understanding the Study’s Nuances and Limitations

the‍ study,led ⁣by Adrian ⁢D. haim

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AI, artificial intelligence, artificial neural networks, Deep Learning, elder care, elderly, electronic health record; EHR; electronic health record (EHR), geriatric medicine, geriatrics, hospitals, Machine learning, ML natural language processing, NPL, older adults, senior citizens, seniors

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