Faculty Bibliography

Background/UNASSIGNED:Approximately one third of adults in adult day services (ADS) centers have Alzheimer's disease (AD) and AD-related dementias (ADRD). Understanding of the impact and effectiveness of ADS on persons living with dementia (PLWD) is limited by a lack of patient and caregiver relevant outcomes (PCRO) data. We identified PCROs collected at ADS sites in states that mandate serial data collection and examined the degree to which these data align with established Dementia Care Practice Recommendations (DCPR) and PCROs used in other areas of long-term care. Methods/UNASSIGNED:We conducted an item analysis of regulatory forms used by ADS. Consistent with the methodology used by the Imbedded Pragmatic AD/ADRD Clinical Trials (IMPACT) Collaboratory for PCROs collected in other long-term care settings, we created a matrix informed by DCPR. We matched each item in regulatory forms reflecting a PCRO to one of the seven DCPR domains as well as to the 53 PCROs from other long-term care sectors. Results/UNASSIGNED:Ten states routinely collect outcome data in ADS. Among these, 80% assess cognitive function. All 10 states capture PLWD's ability to complete activities of daily living. Presence and frequency of behavioral symptoms were collected by 80% of states. Very few or, in some cases, none of the 10 states, collected PCROs related to care planning and coordination, education, social support, and/or family caregiver burden and support. Discussion/UNASSIGNED:Lack of standardized collection of PCROs hampers researchers' understanding of ADS. The vast majority of PCROs collected center on participants' physical health; conversely, data on socialization, social support, and caregiver well-being, which are purportedly the most impactful services offered by ADS centers, are rarely collected. ADS would be well served to focus on these outcome domains as the resulting data could paint a more complete picture of the holistic impact of ADS on PLWD and their caregivers.

BACKGROUND:Post-acute sequelae of COVID-19 (PASC) includes a heterogeneous group of patients with variable symptomatology, who may respond to different therapeutic interventions. Identifying phenotypes of PASC and therapeutic strategies for different subgroups would be a major step forward in management. METHODS:In a prospective cohort study of patients hospitalized with COVID-19, 12-month symptoms and quantitative outcome metrics were collected. Unsupervised hierarchical cluster analyses were performed to identify patients with: (1) similar symptoms lasting ≥4 weeks after acute SARS-CoV-2 infection, and (2) similar therapeutic interventions. Logistic regression analyses were used to evaluate the association of these symptom and therapy clusters with quantitative 12-month outcome metrics (modified Rankin Scale, Barthel Index, NIH NeuroQoL). RESULTS:Among 242 patients, 122 (50%) reported ≥1 PASC symptom (median 3, IQR 1-5) lasting a median of 12-months (range 1-15) post-COVID diagnosis. Cluster analysis generated three symptom groups: Cluster1 had few symptoms (most commonly headache); Cluster2 had many symptoms including high levels of anxiety and depression; and Cluster3 primarily included shortness of breath, headache and cognitive symptoms. Cluster1 received few therapeutic interventions (OR 2.6, 95% CI 1.1-5.9), Cluster2 received several interventions, including antidepressants, anti-anxiety medications and psychological therapy (OR 15.7, 95% CI 4.1-59.7) and Cluster3 primarily received physical and occupational therapy (OR 3.1, 95%CI 1.3-7.1). The most severely affected patients (Symptom Cluster 2) had higher rates of disability (worse modified Rankin scores), worse NeuroQoL measures of anxiety, depression, fatigue and sleep disorder, and a higher number of stressors (all P<0.05). 100% of those who received a treatment strategy that included psychiatric therapies reported symptom improvement, compared to 97% who received primarily physical/occupational therapy, and 83% who received few interventions (P = 0.042). CONCLUSIONS:We identified three clinically relevant PASC symptom-based phenotypes, which received different therapeutic interventions with varying response rates. These data may be helpful in tailoring individual treatment programs.

Background/UNASSIGNED:To examine social engagement and mental health symptoms during the COVID-19 pandemic across Asian American (AA) ethnic groups. Methods/UNASSIGNED:Data from three waves of the nationally representative COVID-19 Household Impact Survey (4/20/2020-6/8/2020) were used to describe social engagement and mental health symptoms during the pandemic. Associations between mental health and social engagement were assessed via multinomial logistic regression. Results/UNASSIGNED:In this sample of 312 AAs (36.9% Chinese American, 30.9% South Asian American, 20.1% Filipino/Vietnamese American, and 12.0% Japanese/Korean American), daily communication with neighbors declined for Chinese, South Asian and Filipino/Vietnamese Americans but increased for Japanese/Korean Americans (P=.012) whereas communication with friends/family increased only for Filipino/Vietnamese, Japanese/Korean and South Asian Americans (P<0.001). Differences in self-reported symptoms of anxiety, depression, loneliness, and hopelessness were observed across AA ethnic groups. In adjusted models, lower social engagement was associated with frequent (3-4 days/week) depressive symptoms during the preceding week (cOR:3.26, 95%CI:1.01-10.5). This association was heightened for Asian men (cOR:14.22, 95%CI:3.62-55.8). Conclusions/UNASSIGNED:Heterogeneity of social engagement and mental health symptoms across AA ethnicities was observed. Understanding associations between social engagement and mental health within different communities is necessary to provide culturally and linguistically appropriate mental health treatment and care.

Background/UNASSIGNED:While societal acceptance for sexual and gender minority (SGM) individuals is increasing, this group continues to face barriers to quality healthcare. Little is known about clinicians' experiences with SGM patients in the oncology setting. To address this, a mixed method survey was administered to members of the ECOG-ACRIN Cancer Research Group. Materials and methods/UNASSIGNED:We report results from the open-ended portion of the survey. Four questions asked clinicians to describe experiences with SGM patients, reservations in caring for them, suggestions for improvement in SGM cancer care, and additional comments. Data were analyzed using content analysis and the constant comparison method. Results/UNASSIGNED:The majority of respondents noted they had no or little familiarity with SGM patients. A minority of respondents noted experience with gay and lesbian patients, but not transgender patients; many who reported experience with transgender patients also noted difficulty navigating the correct use of pronouns. Many respondents also highlighted positive experiences with SGM patients. Suggestions for improvement in SGM cancer care included providing widespread training, attending to unique end-of-life care issues among SGM patients, and engaging in efforts to build trust. Conclusion/UNASSIGNED:Clinicians have minimal experiences with SGM patients with cancer but desire training. Training the entire workforce may improve trust with, outreach efforts to, and cancer care delivery to the SGM community.

A hub and spoke model offers an effective and efficient approach to providing informed guidance to those who need it. The National Center for Ethics in Health Care (NCEHC) at the Veterans Health Administration, Department of Veterans Affairs, is the largest known hub and spoke healthcare ethics delivery model. In this article, we describe ways NCEHC's hub and spoke configuration succeeded during the COVID-19 pandemic, as well as limitations of the model and possible improvements to inform adoption at other healthcare systems.

Tertiary healthcare ethics (HCE) consultation occurs when an HCE consultant at a healthcare facility requests guidance from one or more senior HCE consultants who are not members of that facility's HCE consultation service. Tertiary HCE consultants provide advanced HCE guidance and/or mentoring to facility (secondary) HCE consultants, mirroring healthcare consultation in clinical practice. In this article, we describe advantages and challenges of providing tertiary HCE consultation through a hub-and-spoke model administered by a national integrated HCE service.

Unintentional overdose deaths, most involving opioids, have eclipsed all other causes of US deaths for individuals less than 50 years of age. An estimated 2.4 to 5 million individuals have opioid use disorder (OUD) yet a minority receive treatment in a given year. Medications for OUD (MOUD) are the gold standard treatment for OUD however early dropout remains a major challenge for improving clinical outcomes. A Cascade of Care (CoC) framework, first popularized as a public health accountability strategy to stem the spread of HIV, has been adapted specifically for OUD. The CoC framework has been promoted by the NIH and several states and jurisdictions for organizing quality improvement efforts through clinical, policy, and administrative levers to improve OUD treatment initiation and retention. This roadmap details CoC design domains based on available data and potential linkages as individual state agencies and health systems typically rely on limited datasets subject to diverse legal and regulatory requirements constraining options for evaluations. Both graphical decision trees and catalogued studies are provided to help guide efforts by state agencies and health systems to improve data collection and monitoring efforts under the OUD CoC framework.