Publications by authors named "V L Gromova"

Article Synopsis
  • Oropharyngeal dysphagia is very common (up to 86%) in hospitalized patients with Alzheimer’s disease and related dementias (ADRD), prompting a study to understand its management and outcomes during hospital stays.* -
  • Conducted in New York across 10 hospitals, the study involved older adults with ADRD diagnosed with dysphagia, focusing on their characteristics, management strategies, and clinical progress.* -
  • Results showed that despite high risks, 76% of patients who received reassessment showed improvement in dysphagia, underscoring the need for regular evaluations and further research on respiratory complications linked to dysphagia management.*
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Importance: Despite the benefits of goals-of-care (GOC) communication, many hospitalized individuals never communicate their goals or preferences to clinicians.

Objective: To assess whether a GOC video intervention delivered by palliative care educators (PCEs) increased the rate of GOC documentation.

Design, Setting, And Participants: This pragmatic, stepped-wedge cluster randomized clinical trial included patients aged 65 years or older admitted to 1 of 14 units at 2 urban hospitals in New York and Boston from July 1, 2021, to October 31, 2022.

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Behavioral and psychological symptoms of dementia (BPSD) are common in hospitalized persons living with dementia (PLWD). This pilot aimed to test the feasibility of an innovative model of care, PES-4-BPSD (a dementia unit staffed with Patient Engagement Specialists, PES). Non-randomized pilot feasibility trial was conducted, enrolling  = 158 patients to the intervention unit ( = 79, a 10-bed dementia unit, staffed with nursing assistants, NAs, with mental health backgrounds, PES) and an enhanced control unit ( = 79, 40-bed medicine unit, staffed with NAs).

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Background: Delirium is a critically underdiagnosed syndrome of altered mental status affecting more than 50% of older adults admitted to hospital. Few studies have incorporated speech and language disturbance in delirium detection. We sought to describe speech and language disturbances in delirium, and provide a proof of concept for detecting delirium using computational speech and language features.

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