Faculty Bibliography

OBJECTIVES:Transitional care nurse (TCN) care has been associated with decreased hospitalizations for older adults in the emergency department (ED). The objective of this study was to evaluate the association between TCN care and readmission for geriatric patients who visit the ED within 30 days of a prior hospital discharge. METHODS:We studied a prospective cohort of ED patients aged 65 and older with an ED visit within 30 days of inpatient discharge. Patients with an Emergency Severity Index of 1 or prior TCN contact were excluded. Entropy balancing and logistic regression were used to estimate the average incremental effect of the TCN intervention on risk of admission during the index ED visit and within 30 days of prior discharge. RESULTS:Of 6,838 visits, 608 included TCN care. TCN patients had lower risk of readmission during the index ED visit at Mount Sinai Medical Center (MSMC), -10.1 percentage points (95% confidence interval [CI] = -18.5 to -2.7), and Northwestern Memorial Hospital (NMH), -17.3 percentage points (95% CI = -23.1 to -11.5), but not St. Joseph's Regional Medical Center (SJRMC), -2.5 percentage points (95% CI = -10.5 to 5.5). TCN patients had fewer readmissions within 30 days of prior hospital discharge at NMH, -16.2 percentage points (95% CI = -22.0 to -10.3), but not at MSMC, -5.6 percentage points (95% CI = -13.1 to 1.8), or at SJRMC, 0.5 percentage points (95% CI = -7.2 to 8.2). CONCLUSIONS:Transitional care nurse care in the ED after a prior hospitalization was associated with decreased readmission of older adults during the index ED visit at two of three hospitals, with sustained reduction for the entire 30-day readmission window at one hospital. TCN interventions in the ED may decrease readmissions for geriatric patients in the ED; however, these results may be dependent on implementation of the program and availability of ED, hospital, and local resources for older adults.

BACKGROUND:Functional status in older adults predicts hospital use and mortality, and offers insight into independence and quality of life. The Patient-Reported Outcome Measurement Information System (PROMIS) was developed to improve and standardize patient-reported outcomes measurements. The PROMIS Physical Function (PROMIS PF) 10-Item Short Form was not created specifically for older adults. By comparing PROMIS with the Katz Index of Activities of Daily Living (Katz), we evaluated PROMIS for measurement of physical function versus general function in an older adult population seen in the ED. METHODS:A prospective, convenience sample of ED patients 65 years and older (from January 1, 2015 to June 30, 2015) completed Katz and PROMIS PF. Both were compared for scoring distributions and conventional scoring thresholds for severity of impairment (eg, minimal, moderate, severe). We assessed convergence through Spearman correlations, equivalents of conventional thresholds and ranges of physical function, and item-response frequencies. RESULTS:A total of 357 completed both function surveys. PROMIS PF and Katz have a modest positive correlation (r = .50, p < .01). Mean PROMIS PF scores within Katz scoring ranges for minimal (43, SD = 10), moderate (32, SD = 7), and severe (24, SD = 7) impairment fell within respective PROMIS PF scoring ranges (severe = 14-29, moderate = 30-39, mild = 40-45), indicating convergence. PROMIS identified impairment in 3× as many patients as did Katz, as PROMIS assesses vigorous physical function (eg, running, heavy lifting) not queried by Katz. However, PROMIS does not assess select activities of daily living (ADLs; eg, feeding, continence) important for assessment of function in older adults. CONCLUSIONS:There is a modest correlation between PROMIS and Katz. PROMIS may better assess physical function than Katz, but is not an adequate replacement for assessment of general functional status in older adults.

OBJECTIVE:To evaluate the impact of an academic detailing intervention delivered as part of a quality improvement project by a physician-pharmacist pair on (1) self-reported confidence in prescribing for older adults and (2) rates of potentially inappropriate medications (PIMs) prescribed to older adults by physician residents in a Veteran Affairs emergency department (ED). METHODS:This quality improvement project at a single site utilized a questionnaire that assessed knowledge of Beers Criteria, self-perceived barriers to appropriate prescribing in older adults, and self-rated confidence in ability to prescribe in older adults which was administered to physician residents before and after academic detailing delivered during their emergency medicine rotation. PIM rates in the resident cohort who received the academic detailing were compared to residents who did not receive the intervention. RESULTS:Sixty-three residents received the intervention between February 2013 and December 2014. At baseline, approximately 50% of the residents surveyed reported never hearing about nor using the Beers Criteria. A significantly greater proportion of residents agreed or strongly agreed in their abilities to identify drug-disease interactions and to prescribe the appropriate medication for the older adult after receiving the intervention. The resident cohort who received the educational intervention was less likely to prescribe a PIM when compared to the untrained resident cohort with a rate ratio of 0.73 ( P < .0001). CONCLUSION/CONCLUSIONS:Academic detailing led by a physician-pharmacist pair resulted in improved confidence in physician residents' ability to prescribe safely in an older adult ED population and was associated with a statistically significant decrease in PIM rates.

OBJECTIVES:Published literature on national emergency department (ED) revisit rates among older adults with dementia is sparse, despite anecdotal evidence of higher ED utilization. Thus we evaluated the odds ratio (OR) of 30-day ED revisits among older adults with dementia using a nationally representative sample. DESIGN:We assessed the frequency of claims associated with a 30-day ED revisit among Medicare beneficiaries with and without a dementia diagnosis before or at index ED visit. We used a logistic regression model controlling for dementia, age, sex, race, region, Medicaid status, transfer to a skilled nursing facility after ED, primary care physician use 12 months before index, and comorbidity. SETTING:A nationally representative sample of claims data for Medicare beneficiaries aged 65 and older who maintained continuous fee-for-service enrollment during 2015 and 2016. Only outpatient claims associated with an ED visit between January 2016 and November 2016 were included as a qualifying index encounter. PARTICIPANTS:We identified 240 249 patients without dementia and 54 622 patients for whom a dementia code was recorded in the year before the index encounter in 2016. RESULTS:Our results indicate a significant difference in unadjusted 30-day ED revisit rates among those with an ED dementia diagnoses (22.0%) compared with those without (13.9%). Our adjusted results indicated that dementia is a significant predictor of 30-day ED revisits (P < .0001). Those with a dementia diagnosis at or before the index ED visit were more likely to have experienced an ED revisit within 30 days (OR = 1.27; 95% confidence interval = 1.24-1.31). CONCLUSION:Dementia diagnoses were a significant predictor of 30-day ED revisits. Further research should assess potential reasons why dementia is associated with markedly higher revisit rates, as well as opportunities to manage and transition dementia patients from the ED back to the community more effectively. J Am Geriatr Soc 67:2254-2259, 2019.

The emergency department (ED) is uniquely positioned to improve care for older adults and affect patient outcome trajectories. The Mount Sinai Hospital ED cares for 15,000+ patients >65 years old annually. From 2012 to 2015, emergency care in a dedicated Geriatric Emergency Department (GED) replicated an Acute Care for Elderly (ACE) model, with focused assessments on common geriatric syndromes and daily comprehensive interdisciplinary team (IDT) meetings for high-risk patients. The IDT, comprised of an emergency physician, geriatrician, transitional care nurse (TCN) or geriatric nurse practitioner (NP), ED nurse, social worker (SW), pharmacist (RX), and physical therapist (PT), developed comprehensive care plans for vulnerable older adults at high risk for morbidity, ED revisit, functional decline, or potentially avoidable hospital admission. Patients were identified using the Identification of Seniors at Risk (ISAR) screen, followed by geriatric assessments to assist in the evaluation of elders in the ED. On average, 38 patients per day were evaluated by the IDT with approximately 30% of these patients formally discussed during IDT rounds. Input from the IDT about functional and cognitive, psychosocial, home safety, and pharmacological assessments influenced decisions on hospital admission, care transitions, access to community based resources, and medication management. This paper describes the role of a Geriatric Emergency Medicine interdisciplinary team as an innovative ACE model of care for older adults who present to the ED.

Few investigations examine patterns of opioid and nonopioid analgesic prescribing and concurrent pain intensity ratings before and after institution of safer prescribing programs such as the October 2013 Veterans Health Administration system-wide Opioid Safety Initiative (OSI) implementation. We conducted a quasi-experimental pre-post observational study of all older U.S. veterans (≥50 years old) with osteoarthritis of the knee or hip. All associated outpatient analgesic prescriptions and outpatient pain intensity ratings from January 1, 2012 to December 31, 2016, were analyzed with segmented regression of interrupted time series. Standardized monthly rates for each analgesic class (total, opioid, nonsteroidal anti-inflammatory drug, acetaminophen, and other study analgesics) were analyzed with segmented negative binomial regression models with overall slope, step, and slope change. Similarly, segmented linear regression was used to analyze pain intensity ratings and percentage of those reporting pain. All models were additionally adjusted for age, sex, and race. Before OSI implementation, total analgesic prescriptions showed a steady rise, abruptly decreasing to a flat trajectory after OSI implementation. This trend was primarily due to a decrease in opioid prescribing after OSI. Total prescribing after OSI implementation was partially compensated by continuing increased prescribing of other study analgesics as well as a significant rise in acetaminophen prescriptions (post-OSI). No changes in nonsteroidal anti-inflammatory drug prescribing were seen. A small rise in the percentage of those reporting pain but not mean pain intensity ratings continued over the study period with no changes associated with OSI. Changes in analgesic prescribing trends were not paralleled by changes in reported pain intensity for older veterans with osteoarthritis.

STUDY OBJECTIVE:Analyses of 72-hour emergency department (ED) return visits are frequently used for quality assurance purposes and have been proposed as a means of measuring provider performance. These analyses have traditionally examined only patients returning to the same hospital as the initial visit. We use a health information exchange network to describe differences between ED visits resulting in 72-hour revisits to the same hospital and those resulting in revisits to a different site. METHODS:We examined data from a 31-hospital health information exchange of all ED visits during a 5-year period to identify 72-hour return visits and collected available encounter, patient, and hospital variables. Next, we used multilevel analysis of encounter-level, patient-level, and hospital-level data to describe differences between initial ED visits resulting in different-site and same-site return visits. RESULTS:We identified 12,621,159 patient visits to the 31 study EDs, including 841,259 same-site and 107,713 different-site return visits within 72 hours of initial ED presentation. We calculated odds ratios (ORs) and 95% confidence intervals (CIs) for the initial-visit characteristics' predictive relationship that any return visit would be at a different site: daytime visit (OR 1.10; 95% CI 1.07 to 1.12), patient-hospital county concordance (OR 1.40; 95% CI 1.36 to 1.44), male sex (OR 1.27; 95% CI 1.24 to 1.30), aged 65 years or older (OR 0.55; 95% CI 0.53 to 0.57), sites with an ED residency (OR 0.41; 95% CI 0.40 to 0.43), sites at an academic hospital (OR 1.12; 95% CI 1.08 to 1.15), sites with high density of surrounding EDs (OR 1.73; 95% CI 1.68 to 1.77), and sites with a high frequency of same-site return visits (OR 0.10; 95% CI 0.10 to 0.11). CONCLUSION:This analysis describes how ED encounters with early revisits to the same hospital differ from those with revisits to a second hospital. These findings challenge the use of single-site return-visit frequency as a quality measure, and, more constructively, describe how hospitals can use health information exchange to more accurately identify early ED return visits and to support programs related to these revisits.

In December 2017, the National Academy of Neuropsychology convened an interorganizational Summit on Population Health Solutions for Assessing Cognitive Impairment in Geriatric Patients in Denver, Colorado. The Summit brought together representatives of a broad range of stakeholders invested in the care of older adults to focus on the topic of cognitive health and aging. Summit participants specifically examined questions of who should be screened for cognitive impairment and how they should be screened in medical settings. This is important in the context of an acute illness given that the presence of cognitive impairment can have significant implications for care and for the management of concomitant diseases as well as pose a major risk factor for dementia. Participants arrived at general principles to guide future screening approaches in medical populations and identified knowledge gaps to direct future research. Key learning points of the summit included: recognizing the importance of educating patients and healthcare providers about the value of assessing current and baseline cognition;emphasizing that any screening tool must be appropriately normalized and validated in the population in which it is used to obtain accurate information, including considerations of language, cultural factors, and education; andrecognizing the great potential, with appropriate caveats, of electronic health records to augment cognitive screening and tracking of changes in cognitive health over time.

In December 2017, the National Academy of Neuropsychology convened an interorganizational Summit on Population Health Solutions for Assessing Cognitive Impairment in Geriatric Patients in Denver, Colorado. The Summit brought together representatives of a broad range of stakeholders invested in the care of older adults to focus on the topic of cognitive health and aging. Summit participants specifically examined questions of who should be screened for cognitive impairment and how they should be screened in medical settings. This is important in the context of an acute illness given that the presence of cognitive impairment can have significant implications for care and for the management of concomitant diseases as well as pose a major risk factor for dementia. Participants arrived at general principles to guide future screening approaches in medical populations and identified knowledge gaps to direct future research. Key learning points of the summit included: recognizing the importance of educating patients and healthcare providers about the value of assessing current and baseline cognition; emphasizing that any screening tool must be appropriately normalized and validated in the population in which it is used to obtain accurate information, including considerations of language, cultural factors, and education; and recognizing the great potential, with appropriate caveats, of electronic health records to augment cognitive screening and tracking of changes in cognitive health over time.