Faculty Bibliography

BACKGROUND:The Geriatric Emergency Medicine Specialist (GEMS) pilot program is an innovative approach that utilizes geriatric-trained advanced practice providers to facilitate geriatric assessments and care planning for older adults in the emergency department (ED). The objective of this study was to explore the effect of GEMS on the use of observation status and final ED disposition. METHODS:This was a retrospective study under a target trial emulation framework. Geriatric patients (65+ years old) who presented to two ED sites within a large regional healthcare system between December 2020 and December 2022 were included. The primary outcome was final ED disposition (discharge, hospital inpatient admission, or hospital observation admission). Secondary outcomes included ED observation and ED length of stay. Non-GEMS patients were propensity score matched 5:1 to GEMS patients. Doubly robust regression was used to estimate the odds ratios and 95% confidence intervals of inpatient admission, discharge, hospital observation admission, ED observation admission, and estimate the mean ED length of stay. RESULTS:A total of 427 of 43,064 total patients (1.0%) received a GEMS intervention during the study period. Our analysis included 2,302 geriatric ED patients (410 GEMS, 1,892 non-GEMS) after propensity score matching. Hospital admission rates were 34.1% for GEMS compared to 56.4% for conventional treatment. GEMS patients had decreased odds of inpatient admission (OR: 0.41, 95 CI: 0.34-0.51, p < 0.001), increased odds of discharge (OR: 1.19 95 CI: 1.00-1.42, p = 0.047), hospital observation admission (OR: 2.97, 95 CI: 2.35-3.75, p < 0.001), ED observation admission (OR: 4.84 95 CI: 3.67-6.38, p < 0.001), and had a longer average ED length of stay (170 min, 95 CI: 84.6-256, p < 0.001) compared to non-GEMS patients. CONCLUSIONS:Patients seen by GEMS during their ED visit were associated with higher rates of hospital discharge and lower rates of hospital admissions.

BACKGROUND:The EQUIPPED (Enhancing Quality of Prescribing Practices for Older Adults Discharged from the Emergency Department) medication safety program is an evidence-informed quality improvement initiative to reduce potentially inappropriate medications (PIMs) prescribed by Emergency Department (ED) providers to adults aged 65 and older at discharge. We aimed to scale-up this successful program using (1) a traditional implementation model at an ED with a novel electronic medical record and (2) a new hub-and-spoke implementation model at three new EDs within a health system that had previously implemented EQUIPPED (hub). We hypothesized that implementation speed would increase under the hub-and-spoke model without cost to PIM reduction or site engagement. METHODS:We evaluated the effect of the EQUIPPED program on PIMs for each ED, comparing their 12-month baseline to 12-month post-implementation period prescribing data, number of months to implement EQUIPPED, and facilitators and barriers to implementation. RESULTS:The proportion of PIMs at all four sites declined significantly from pre- to post-EQUIPPED: at traditional site 1 from 8.9% (8.1-9.6) to 3.6% (3.6-9.6) (p < 0.001); at spread site 1 from 12.2% (11.2-13.2) to 7.1% (6.1-8.1) (p < 0.001); at spread site 2 from 11.3% (10.1-12.6) to 7.9% (6.4-8.8) (p = 0.045); and at spread site 3 from 16.2% (14.9-17.4) to 11.7% (10.3-13.0) (p < 0.001). Time to implement was equivalent at all sites across both models. Interview data, reflecting a wide scope of responsibilities for the champion at the traditional site and a narrow scope at the spoke sites, indicated disproportionate barriers to engagement at the spoke sites. CONCLUSIONS:EQUIPPED was successfully implemented under both implementation models at four new sites during the COVID-19 pandemic, indicating the feasibility of adapting EQUIPPED to complex, real-world conditions. The hub-and-spoke model offers an effective way to scale-up EQUIPPED though a speed or quality advantage could not be shown.

BACKGROUND:Patient-reported outcome measures (PROMs) are gaining favor in clinical and research settings given their ability to capture a patient's symptom burden, functional status, and quality of life. Our objective in this systematic review was to summarize studies including PROMs assessed among older adults (age ≥ 65 years) after seeking emergency care. METHODS:With the assistance of a medical librarian, we searched Ovid MEDLINE, PubMed, Embase, CINAHL, Web of Science-Core Collection, and Cochrane CENTRAL from inception through June 2023 for studies in which older adult ED patients had PROMs assessed in the post-emergency care time period. Independent reviewers performed title/abstract review, full-text screening, data extraction, study characteristic summarization, and risk-of-bias (RoB) assessments. RESULTS:Our search strategy yielded 5153 studies of which 56 met study inclusion criteria. Within included studies, 304 unique PROM assessments were performed at varying time points after the ED visit, including 61 unique PROMs. The most commonly measured domain was physical function, assessed within the majority of studies (47/56; 84%), with measures including PROMs such as Katz activities of daily living (ADLs), instrumental ADLs, and the Barthel Index. PROMs were most frequently assessed at 1-3 months after an ED visit (113/304; 37%), greater than 6 months (91/304; 30%), and 4-6 months (88/304; 29%), with very few PROMs assessed within 1 month of the ED visit (12/304; 4%). Of the 16 interventional studies, two were determined to have a low RoB, four had moderate RoB, nine had high RoB, and one had insufficient information. Of the 40 observational studies, 10 were determined to be of good quality, 20 of moderate quality, and 10 of poor quality. CONCLUSIONS:PROM assessments among older adults following an ED visit frequently measured physical function, with very few assessments occurring within the first 1 month after an ED visit.

Background: Emergency department (ED) visits at end-of-life may cause financial strain and serve as a marker of inadequate access to community services and health care. We sought to examine end-of-life ED use, total healthcare spending, and out-of-pocket spending in a nationally representative sample. Methods: Using Medicare Current Beneficiary Survey data, we conducted a pooled cross-sectional analysis of Medicare beneficiaries aged 65+ years with a date of death between July 1, 2015 and December 31, 2021. Our primary outcomes were ED visits, total healthcare spending, and out-of-pocket spending in the 7, 30, 90, and 180 days preceding death. We estimated a series of zero-inflated negative binomial models identifying patient characteristics associated with the primary outcomes. Results: Among 3812 older adult decedents, 610 (16%), 1207 (31.7%), 1582 (41.5%), and 1787 (46.9%) Medicare beneficiaries had ED visits in the final 7, 30, 90, and 180 days, respectively, of life. For Medicare beneficiaries with at least one ED visit in the final 30 days of life, the median total and out-of-pocket costs were, respectively, $12,500 and $308, compared, respectively, with $278 and $94 for those without any ED visits (p < 0.001 for both comparisons). Having a diagnosis of dementia (odds ratio [OR] 0.71; 95% confidence interval [CI] 0.51"“0.99; p = 0.04) and being on hospice status during the year of death (OR 0.56; 95% CI 0.48"“0.66; p = <0.001) were associated with a decreased likelihood of having an ED visit. Having dementia was associated with a decreased likelihood of having any healthcare spending (OR 0.50; 95% CI 0.36"“0.71; p = 0.001) and any out-of-pocket spending (OR 0.51; 95% CI 0.36"“0.72; p = <0.001). Conclusions: One in three older adults visit the ED in the last month of life, and approximately one in two utilize ED services in the last half-year of life, with evidence of associated considerable total and out-of-pocket spending.

BACKGROUND:Geriatric emergency department (GED) guidelines endorse screening older patients for geriatric syndromes in the ED, but there have been significant barriers to widespread implementation. The majority of screening programs require engagement of a clinician, nurse, or social worker, adding to already significant workloads at a time of record-breaking ED patient volumes, staff shortages, and hospital boarding crises. Automated, electronic health record (EHR)-embedded risk stratification approaches may be an alternate solution for extending the reach of the GED mission by directing human actions to a smaller subset of higher risk patients. METHODS:We define the concept of automated risk stratification and screening using existing EHR data. We discuss progress made in three potential use cases in the ED: falls, cognitive impairment, and end-of-life and palliative care, emphasizing the importance of linking automated screening with systems of healthcare delivery. RESULTS:Research progress and operational deployment vary by use case, ranging from deployed solutions in falls screening to algorithmic validation in cognitive impairment and end-of-life care. CONCLUSIONS:Automated risk stratification offers a potential solution to one of the most pressing problems in geriatric emergency care: identifying high-risk populations of older adults most appropriate for specific GED care. Future work is needed to realize the promise of improved care with less provider burden by creating tools suitable for widespread deployment as well as best practices for their implementation and governance.

BACKGROUND/UNASSIGNED:Older adults treated in emergency departments (EDs) are at higher risk for adverse outcomes. Using multiple facilities can worsen this issue through service duplication and poor care transitions. Veterans with dual insurance coverage can access both Veterans Health Administration (VHA) and non-VHA EDs. This study aimed to identify factors associated with non-VHA ED use among veterans. METHODS/UNASSIGNED:We conducted a retrospective observational study of patients aged ≥ 65 who had primary care at the James J Peters VA Medical Center and at least one VHA or non-VHA ED visit between October 2017 and February 2020. Data were collected from the Veterans Affairs Corporate Data Warehouse and the Bronx Regional Health Information Exchange Organization. Generalized linear mixed models were used to examine factors influencing non-VHA ED use. RESULTS/UNASSIGNED:The study sample consisted of 3,897 veterans and a total of 13,312 ED visits. Compared to VHA-exclusive ED users, non-VHA ED users were more likely to live farther away (OR 1.04, CI 1.02 - 1.06) and seek care outside regular hours, including mornings (OR 1.61, CI 1.39 - 1.87), nights (OR 1.49, CI 1.33 - 1.66), weekends (OR 1.28, CI 1.16 - 1.42), and holidays (OR 1.32, CI 1.04 - 1.68). They were also more likely to present with emergency care sensitive conditions (OR 2.13, CI 1.90 - 2.37) and recent inpatient hospitalizations (OR 1.22, CI 1.05 - 1.41). CONCLUSION/UNASSIGNED:These findings suggested that distance and acuity are important predictors of non-VHA ED use in urban areas such as the Bronx, NY. Identifying veterans with key risk factors could improve care coordination and potentially reduce non-VHA ED use.

As the population ages, the prevalence of cognitive impairment due to neurodegenerative diseases such as Alzheimer disease (AD) is expected to double in the United States to nearly 14 million over the next 40 years. AD and related dementias (ADRD) are a leading cause of morbidity and mortality and among the costliest to society. Although emerging biomedical interventions for ADRD focus on early stages and are currently limited to AD, care management can benefit patients with ADRD across the disease course. Moreover, some causes of cognitive impairment are modifiable, and optimal overall management may slow or prevent additional decline. Nevertheless, a sizable proportion of cases of cognitive impairment among older adults remain undiagnosed. Primary care practitioners are often the first health care professionals to encounter cognitive concerns or to be able to observe changes in function resulting from cognitive impairment; hence, they have much to contribute to population health solutions for detecting cognitive impairment among older adults. In this report, we present key points and gaps in knowledge about methods for detecting cognitive impairment in primary care clinics. These were developed via an interdisciplinary Geriatrics Summit hosted by the National Academy of Neuropsychology in 2022, attended by representatives of national organizations engaged in work to improve care of older adults. We propose a novel workflow to facilitate detecting cognitive impairment during routine primary care, focusing on opportunities provided by the annual wellness visit, a preventive visit available to Medicare beneficiaries, along with additional recommendations and opportunities for clinical practice and research.

The objective of the study is to identify healthcare events leading to a diagnosis of dementia from a large real-world dataset. This study uses a data-driven approach to identify temporally ordered pairs and trajectories of healthcare codes in the electronic health record (EHR). This allows for discovery of novel temporal risk factors leading to an outcome of interest that may otherwise be unobvious. We identified several known (Down syndrome RR = 116.1, thiamine deficiency RR = 76.1, and Parkinson's disease RR = 41.1) and unknown (Brief psychotic disorder RR = 68.6, Toxic effect of metals RR = 40.4, and Schizoaffective disorders RR = 40.0) factors for a specific dementia diagnosis. The associations with the greatest risk for any dementia diagnosis were found to be primarily related to mental health (Brief psychotic disorder RR = 266.5, Dissociative and conversion disorders RR = 169.8), or neurologic conditions or procedures (Dystonia RR = 121.9, Lumbar Puncture RR = 119.0). Trajectory and clustering analysis identified factors related to cerebrovascular disorders, as well as diagnoses which increase the risk of toxic imbalances. The results of this study have the ability to provide valuable insights into potential patient progression towards dementia and improve recognition of patients at risk for developing dementia.