Hastings, Susan N.

Abstract Background People living with dementia (PLWD) face short‐term risks following emergency department (ED) visits. However, the long‐term impacts of ED visits on PLWD quality of life are not well characterized. Home time‐ days alive and outside hospitals or other care settings‐ is an emerging measure that can reflect longer‐term outcomes. We aimed to identify patient and ED visit characteristics associated with variation in home time after an ED visit. Method Retrospective observational study of Veteran PLWD with ≥1 VA ED visit between 10/01/2016 and 09/30/2018. We used VA and CMS data sources to define veteran characteristics and outcomes. Primary outcome was home time in the 180 days after an ED visit, defined as days alive and not in an ED, inpatient, post‐acute, or a nursing home setting. We used a negative binomial model to evaluate the associations between covariates and home time with VAMC‐level random effects to account for correlation among patients at the same VAMC. Result Our final cohort comprised 51,707 Veteran PLWD, predominantly male (97.6%) and white (73.0%), with mean age 79.9 (SD 8.59). Most lived in urban areas (74.4%), and 52.2% were married. Characteristics associated with reduced home time included older age (RR 1.06, 95% CI 1.05‐1.07), never married (RR 1.24; 1.16‐1.32) or divorced/widowed (RR 1.24; 1.20, 1.28), depression (RR 1.13; 1.09, 1.17), and ED visits for chronic conditions (RR 1.13; 1.08, 1.18). Female sex (RR 0.88; 0.79‐0.97) and lower clinical frailty (RR 0.79; 0.75, 0.83) were associated with more home time. Conclusion Patient and ED visit characteristics impact home time up to 180 days after an ED visit. Older, frailer, unmarried, male patients and those presenting with chronic conditions experienced reduced home time, suggesting directions for targeted interventions. Efforts such as enhanced discharge planning and addressing psychosocial factors (e.g., depression) could improve quality of life.

ABSTRACT Objectives Multicenter research of geriatric emergency department (GED) care remains limited. Our objectives were to: 1. Prospectively collect data prioritized by the Geriatric Emergency care Applied Research (GEAR) network, a transdisciplinary taskforce for GED care, and create a multicenter GED research repository of prospective and electronic health record (EHR) data, 2. Assess concordance between prospective and EHR data. Methods The GEAR Standardization Study (GEARSS) is a multicenter, prospective study of older emergency department (ED) patients (65+) focusing on the 4Ms of age‐friendly care (mobility, medication safety, mentation, what matters) and elder mistreatment. Demographic and clinical data were collected via interviews by trained research assistants (RA) on Days 0, 4, 30, and 90 and linked to EHR. Prevalence of chronic comorbidities and incident delirium were measured and reported using descriptive statistics. Prospective and EHR data concordance was assessed with Cohen's Kappa. Results 999 participants were recruited from 5 EDs (3/25/2021–6/30/2022) across 3 institutions: Grady Health System, Northwestern Memorial Hospital, and Yale New Haven Health. The cohort was 57.0% female, 55.2% White, 39.1% Black, and 3.4% Hispanic, and the mean age was 75.1 years. For rheumatologic disease, peptic ulcer disease, diabetes, renal disease, and cancer, prevalence differed between prospective and EHR data by > 10%. About two‐thirds of participants were at risk for falls. Concordance between prospective and EHR data was good for ethnicity ( K = 0.73); excellent for sex ( K = 1.00), age ( K = 1.00), and race ( K = 0.98); fair for disposition ( K = 0.53); slight for ED observation status ( K = 0.33) and dementia diagnosis ( K = 0.24); poor for delirium presence ( K = 0.07). Conclusion In GEARSS, demographic variables aligned strongly between prospective and EHR data, while diagnosis, disposition, and mentation factors did not. This multicenter data source provides preliminary findings for common geriatric syndromes and conditions. Choice of measures using these data should be driven by GED research questions.

ABSTRACT Background Existing risk scores assessing geriatric vulnerability in the emergency department (ED) have shown limited predictive power, especially in diverse populations. We investigated the relationship of a quick and easy‐to‐administer geriatric vulnerability scoring system with functional decline and mortality in older patients admitted to multiple hospitals through the ED in the United States (US) and Brazil (BR). Method Federated, international, multicenter observational study of hospitalized ED patients aged ≥ 65 from US and BR. The six criteria from the PRO‐AGE score (Physical impairment, Recent hospitalization, Older age [≥ 90], Acute mental alteration, Getting thinner, and Exhaustion; 0–8; higher scores = greater vulnerability) were assessed on admission. We used proportional hazards models to investigate the relationships between PRO‐AGE score groups and 90‐day mortality and functional decline, defined as new dependence in activities of daily living (ADL) and instrumental ADL (IADL), after adjusting for age, sex, race and ethnicity, education, Charlson comorbidity score, and study site. Death was considered a competing event for the functional decline outcome. Results A total of 1390 patients were included (US = 560; Brazil = 830). The 90‐day risk of death was higher for the upper compared with the lower (reference) PRO‐AGE group in both cohorts (US: HR = 11.76; 95% confidence interval [CI] = 2.56–54.04; BR: HR = 12.29; 95% CI = 3.54–42.59), whereas the risk of new 90‐day ADL disability was higher for upper (HR = 2.08; 95% CI = 1.21–3.56) and middle groups (HR = 2.10; 95% CI = 1.35–3.27) in the US but only the upper group in BR (HR = 1.70; 95% CI = 1.02–2.85). Conclusion A higher PRO‐AGE score was associated with mortality and functional decline in older ED patients admitted to hospitals in the US and BR, demonstrating its generalizability as a geriatric vulnerability risk score.

AbstractIntroductionOlder adults are at high risk of adverse health outcomes in the post–emergency department (ED) discharge period. Prior work has shown that discharged older adults have variable understanding of their discharge instructions which may contribute to these outcomes. To identify discharge comprehension gaps amenable to future interventions, we utilize meta‐analysis to determine patient comprehension across five domains of discharge instructions: diagnosis, medications, self‐care, routine follow‐up, and return precautions.MethodsUsing Preferred Reporting Items for Systematic Reviews and Meta‐Analyses guidelines, two reviewers sourced evidence from databases including Medline (PubMed), EMBASE, Web of Science, CINAHL, and Google Scholar (for gray literature). Publications or preprints appearing before April 2024 were included if they focused on geriatric ED discharge instructions and reported a proportion of patients with comprehension of at least one of five predefined discharge components. Meta‐analysis of eligible studies for each component was executed using random‐effects modeling to describe the proportion of geriatric ED cases understanding the discharge instructions; where appropriate we calculated pooled estimates, reported as percentages with 95% confidence interval (CI).ResultsOf initial records returned (N = 2898), exclusions based on title or abstract assessment left 51 studies for full‐text review; of these, seven constituted the study set. Acceptable heterogeneity and absence of indication of publication bias supported pooled estimates for proportions comprehending instructions on medications (41%, 95% CI 31%–50%, I2 = 43%), self‐care (81%, 95% CI 76%–85%, I2 = 43%), and routine follow‐up (76%, 95% CI 72%–79%, I2 = 25%). Key findings included marked heterogeneity with respect to comprehending two discharge parameters: diagnosis (I2 = 73%) and return precautions (I2 = 95%).ConclusionsOlder patients discharged from the ED had greater comprehension of self‐care and follow‐up instructions than about their medications. These findings suggest that medication instructions may be a priority domain for future interventions.