Gluing together a fragmented healthcare system for geriatrics will be hard. It's time for united action.

"Gluing" together integrated Geriatric Clinical Service lines (GCSL) within the US healthcare system is a significant challenge. Reasons encompass health professional workforce shortages, inconsistent requirements for geriatric educational competencies among the health professional disciplines, preconceived ageist attitudes about older adults with complex illnesses, and a US healthcare system infrastructure that is not aligned with longitudinal and interdisciplinary care needs for older adults. This review focuses on three major characteristics of the US healthcare system that have impeded widespread dissemination of GCSLs: (1) the US's historical fee for service (FFS) reimbursement system; (2) increasing reliance upon disease specific specialty care services for older patients that have resulted from advances in medicine; and (3) rising consolidation of US healthcare systems over the last 30 years. Three specific options are also provided that might help change the current and future trajectories of GCSLs: (1) local political advocacy to implement health policy legislation; (2) expand geriatric physician and health professional workforce by nontraditional means; and (3) reprioritize expansionist healthcare systems corporate behavior. Each of these interventions will be hard to achieve, but it is time to unite if GCSLs are to thrive as pathways to improve care outcomes for older adults with complex medical, cognitive and neuropsychiatric disorders.

Gluing Together a Fragmented Healthcare System for Geriatrics Will Be Hard. It's Time for United Action.

"Gluing" together integrated Geriatric Clinical Service lines (GCSL) within the US healthcare system is a significant challenge. Reasons encompass health professional workforce shortages, inconsistent requirements for geriatric educational competencies among the health professional disciplines, preconceived ageist attitudes about older adults with complex illnesses, and a US healthcare system infrastructure that is not aligned with longitudinal and interdisciplinary care needs for older adults. This review focuses on three major characteristics of the US healthcare system that have impeded widespread dissemination of GCSLs: 1) the US's historical fee for service (FFS) reimbursement system; 2) increasing reliance upon disease specific specialty care services for older patients that have resulted from advances in medicine; and 3) rising consolidation of US healthcare systems over the last 30 years. Three specific options are also provided that might help change the current and future trajectories of GCSLs: 1) local political advocacy to implement health policy legislation; 2) expand geriatric physician and health professional workforce by nontraditional means; and 3) reprioritize expansionist healthcare systems corporate behavior. Each of these interventions will be hard to achieve, but it is time to unite if GCSLs are to thrive as pathways to improve care outcomes for older adults with complex medical, cognitive and neuropsychiatric disorders.

Predictive value of clinical symptoms for COVID-19 diagnosis in young adults.

Objective: Assessment of predictive values of clinical symptoms for COVID-19 diagnosis in young adults. Participants: Nonresidential university students (ages 18-25) participating in surveillance testing and mandatory symptom survey between 9/9/2020 and 11/25/2020. Methods: Retrospective study of test results and symptom survey data. Results: Among 6,489 individuals, 288 (4.4%) tested positive for COVID-19, 90 (31.3%) of whom reported symptoms. COVID-19 prevalence among individuals reporting and not reporting symptoms was 17.2% and 3.3%, respectively. The four symptoms with highest positive predictive values (PPVs) were smell/taste loss (PPV = 38.5%), chills (PPV = 31.5%), muscle/joint pain (PPV = 26.0%), and fever (PPV = 25.9%). Conclusions: Institutions should emphasize COVID-19 risk for highly predictive symptoms in public health messaging to inform individuals on when to seek testing or self-isolation. However, low COVID-19 diagnostic accuracy of clinical symptoms and the high pre-symptomatic/asymptomatic rate (69%) highlight the limitations of voluntary testing strategies employed by higher education institutions during the original strain of SARS-CoV-2.

The Great Health Paradox: A Call for Increasing Investment in Public Health.

The great health paradox is that the least expensive and most effective public health measures available for addressing the COVID-19 pandemic-and other society-wide health challenges-have long been ignored and rejected in the United States in favor of more expensive and personalized care. The U.S. medical system is being overwhelmed in part because of this paradox. The authors argue that the country has invested excessively in acute care medical technology while investing insufficiently in its public health infrastructure. In this Invited Commentary, the authors recommend 5 steps that academic medicine should take to increase emphasis on and understanding of public health interventions to address society's health problems: (1) incorporate problem-based learning experiences in the medical school curriculum and community-based clinical rotations in public health departments, (2) better integrate schools of public health and schools of medicine, (3) encourage physicians to pursue public health careers, (4) educate the public about strategies for decreasing chronic illnesses, and (5) increase collaboration with colleagues around the world to identify and track outbreaks.

Review of Religious Variables in Advance Care Planning for End-of-Life Care: Consideration of Faith as a New Construct.

Religion and spirituality have long been considered important social determinants of human health, and there exists an extensive body of research to support such. End-of-life (EOL) may raise complex questions for individuals about religious and spiritual (R/S) values guiding advance care planning (ACP) and EOL care decisions, including the provision of spiritual care. This commentary will review the history and current national trends of ACP activities for EOL, principally within the United States. It will describe the relationship of religious variables and the attributes of selected research instruments used to study religious variables on ACP and EOL preferences. The review also summarizes unique ACP challenges for patients with neurocognitive disorders and severe mental illness. Findings disclose that higher levels of religiosity, reliance on religious coping, conservative faith traditions, and "belief in God's control over life's length and divine intervention have lower levels of ACP and more intensive EOL care preferences, although the provision of spiritual spiritual care at EOL mitigates intensive EOL care. Based upon the curated evidence, we propose an epistemological justification to consider "faith" as a separately defined religious variable in future ACP and EOL research. This review is relevant to geriatric psychiatrists and gerontological health care professionals, as they may be part of multidisciplinary palliative care teams; provide longitudinal care to patients with neurocognitive disorders and severe mental illness; and may provide diagnostic, emotional, and therapeutic services for patients and families who may struggle with EOL care decisions.

The impact of phased university reopenings on mitigating the spread of COVID-19: a modeling study.

BACKGROUND: Several American universities have experienced COVID-19 outbreaks, risking the health of their students, employees, and local communities. Such large outbreaks have drained university resources and forced several institutions to shift to remote learning and send students home, further contributing to community disease spread. Many of these outbreaks can be attributed to the large numbers of active infections returning to campus, alongside high-density social events that typically take place at the semester start. In the absence of effective mitigation measures (e.g., high-frequency testing), a phased return of students to campus is a practical intervention to minimize the student population size and density early in the semester, reduce outbreaks, preserve institutional resources, and ultimately help mitigate disease spread in communities. METHODS: We develop dynamic compartmental SARS-CoV-2 transmission models to assess the impact of a phased reopening, in conjunction with pre-arrival testing, on minimizing on-campus outbreaks and preserving university resources (measured by isolation bed capacity). We assumed an on-campus population of N = 7500, 40% of infected students require isolation, 10 day isolation period, pre-arrival testing removes 90% of incoming infections, and that phased reopening returns one-third of the student population to campus each month. We vary the disease reproductive number (Rt) between 1.5 and 3.5 to represent the effectiveness of alternative mitigation strategies throughout the semester. RESULTS: Compared to pre-arrival testing only or neither intervention, phased reopening with pre-arrival testing reduced peak active infections by 3 and 22% (Rt = 1.5), 22 and 29% (Rt = 2.5), 41 and 45% (Rt = 3.5), and 54 and 58% (improving Rt), respectively. Required isolation bed capacity decreased between 20 and 57% for values of Rt ≥ 2.5. CONCLUSION: Unless highly effective mitigation measures are in place, a reopening with pre-arrival testing substantially reduces peak number of active infections throughout the semester and preserves university resources compared to the simultaneous return of all students to campus. Phased reopenings allow institutions to ensure sufficient resources are in place, improve disease mitigation strategies, or if needed, preemptively move online before the return of additional students to campus, thus preventing unnecessary harm to students, institutional faculty and staff, and local communities.

Surveillance-based informative testing for detection and containment of SARS-CoV-2 outbreaks on a public university campus: an observational and modelling study.

BACKGROUND: Despite severe outbreaks of COVID-19 among colleges and universities across the USA during the Fall 2020 semester, the majority of institutions did not routinely test students. While high-frequency repeated testing is considered the most effective strategy for disease mitigation, most institutions do not have the necessary infrastructure or funding for implementation. Therefore, alternative strategies for testing the student population are needed. Our study detailed the implementation and results of testing strategies to mitigate SARS-CoV-2 spread on a university campus, and we aimed to assess the relative effectiveness of the different testing strategies. METHODS: For this retrospective cohort study, we included 6273 on-campus students arriving to a large public university in the rural USA (Clemson, SC, USA) for in-person instruction in the Fall 2020 semester (Sept 21 to Nov 25). Individuals arriving after Sept 23, those who tested positive for SARS-CoV-2 before Aug 19, and student athletes and band members were not included in this study. We implemented two testing strategies to mitigate SARS-CoV-2 spread during this period: a novel surveillance-based informative testing (SBIT) strategy, consisting of random surveillance testing to identify outbreaks in residence hall buildings or floors and target them for follow-up testing (Sept 23 to Oct 5); followed by a repeated weekly surveillance testing (Oct 6 to Nov 22). Relative changes in estimated weekly prevalence were examined. We developed SARS-CoV-2 transmission models to compare the relative effectiveness of weekly testing (900 daily surveillance tests), SBIT (450 daily surveillance tests), random surveillance testing (450 daily surveillance tests), and voluntary testing (0 daily surveillance tests) on disease mitigation. Model parameters were based on our empirical surveillance data in conjunction with published sources. FINDINGS: SBIT was implemented from Sept 23 to Oct 5, and identified outbreaks in eight residence hall buildings and 45 residence hall floors. Targeted testing of residence halls was 2·03 times more likely to detect a positive case than random testing (95% CI 1·67-2·46). Weekly prevalence was reduced from a peak of 8·7% to 5·6% during this 2-week period, a relative reduction of 36% (95% CI 27-44). Prevalence continued to decrease after implementation of weekly testing, reaching 0·8% at the end of in-person instruction (week 9). SARS-CoV-2 transmission models concluded that, in the absence of SBIT (ie, voluntary testing only), the total number of COVID-19 cases would have increased by 154% throughout the semester. Compared with SBIT, random surveillance testing alone would have resulted in a 24% increase in COVID-19 cases. Implementation of weekly testing at the start of the semester would have resulted in 36% fewer COVID-19 cases throughout the semester compared with SBIT, but it would require twice the number of daily tests. INTERPRETATION: It is imperative that institutions rigorously test students during the 2021 academic year. When high-frequency testing (eg, weekly) is not possible, SBIT is an effective strategy to mitigate disease spread among the student population that can be feasibly implemented across colleges and universities. FUNDING: Clemson University, USA.

COVID-19: Financial Stress Test for Academic Medical Centers.

The coronavirus (COVID-19) pandemic is having profound effects on the lives and well-being of the world's population. All levels of the nation's public health and health care delivery systems are rapidly adjusting to secure the health infrastructure to manage the pandemic in the United States. As the nation's safety net health care systems, academic medical centers (AMCs) are vital clinical and academic resources in managing the pandemic. COVID-19 may also risk the financial underpinnings of AMCs because their cost structures are high, and they may have incurred large amounts of debt over the last decade as they expanded their clinical operations and facilities. This Invited Commentary reviews existing data on AMC debt levels; summarizes relief provided in the Coronavirus Aid, Relief, and Economic Security Act; and suggests policy options to help mitigate risk.

American Association for Geriatric Psychiatry-Strategic Thinking.

Never has there been a more pressing time for the American Association for Geriatric Psychiatry (AAGP) to articulate a unified strategy to meet the challenges of our aging world. To this end, this report summarizes an AAGP leadership meeting that reviewed the results from a recent membership survey and launched a strategic planning process on behalf of AAGP members and stakeholders. This meeting was the first step in drafting a blueprint for the future that may serve as our guide in the context of finite resources to meet the infinitely complex and growing need for education, research, public advocacy, and clinical practice support. The following report serves to invite our valued colleagues to provide feedback and actively participate in defining our mission. Among the outcomes of the planning session, the following aspirations were identified by the participants 1) assert the AAGP as the "go to" organization for all things related to geriatric mental health, 2) prioritize activities that enhance the inclusivity/diversity of membership, and 3) collaborate across disciplines focused on geriatric mental health. From this initial framework, the group developed four general themes to guide AAGP's strategic future: 1) collaboration, 2) advocacy, 3) inclusivity, 4) high purpose. Inclusivity was further defined as encompassing growth, return on investment, and workforce development. Higher purpose was further defined as encompassing engagement, purpose, branding, communication, and expertise. The AAGP affirmed its commitment to serving the needs of its members and widening its scope of impact in view of staggering demands for better access to geriatric mental healthcare.