Telehealth Policy, Practice, and Education: a Position Statement of the Society of General Internal Medicine.

Telehealth services, specifically telemedicine audio-video and audio-only patient encounters, expanded dramatically during the COVID-19 pandemic through temporary waivers and flexibilities tied to the public health emergency. Early studies demonstrate significant potential to advance the quintuple aim (patient experience, health outcomes, cost, clinician well-being, and equity). Supported well, telemedicine can particularly improve patient satisfaction, health outcomes, and equity. Implemented poorly, telemedicine can facilitate unsafe care, worsen disparities, and waste resources. Without further action from lawmakers and agencies, payment will end for many telemedicine services currently used by millions of Americans at the end of 2024. Policymakers, health systems, clinicians, and educators must decide how to support, implement, and sustain telemedicine, and long-term studies and clinical practice guidelines are emerging to provide direction. In this position statement, we use clinical vignettes to review relevant literature and highlight where key actions are needed. These include areas where telemedicine must be expanded (e.g., to support chronic disease management) and where guidelines are needed (e.g., to prevent inequitable offering of telemedicine services and prevent unsafe or low-value care). We provide policy, clinical practice, and education recommendations for telemedicine on behalf of the Society of General Internal Medicine. Policy recommendations include ending geographic and site restrictions, expanding the definition of telemedicine to include audio-only services, establishing appropriate telemedicine service codes, and expanding broadband access to all Americans. Clinical practice recommendations include ensuring appropriate telemedicine use (for limited acute care situations or in conjunction with in-person services to extend longitudinal care relationships), that the choice of modality be done through patient-clinician shared decision-making, and that health systems design telemedicine services through community partnerships to ensure equitable implementation. Education recommendations include developing telemedicine-specific educational strategies for trainees that align with accreditation body competencies and providing educators with protected time and faculty development resources.

Primary Care: A Critical Stopgap of Mental Health Services During the COVID-19 Pandemic.

BACKGROUND: The COVID-19 pandemic resulted in a worsening mental health crisis, while also dramatically reducing access to in-person primary care services. Primary care, an essential provider of mental health services, rapidly adopted telemedicine to address behavioral health needs. Here we examine the provision of mental health services by primary care during the pandemic, including the essential use of telemedicine. METHODS: Data were collected via a series of national, cross-sectional surveys of primary care clinicians in November 2020 by the Larry A. Green Center. The survey was distributed through a network of partner organizations and subscribers. Descriptive and chi squared analysis were utilized. RESULTS: Among 1,472 respondents, 88% reported increased mental health needs and 37% reported higher rates of substance use among patients. Most (65%) clinicians became more involved in providing mental health support, and 64% reported using telemedicine to provide behavioral health services. Phone-based care was more common for care delivery among patients who were uninsured (60% vs 42%, P < .01), Medicare beneficiaries (45% vs 36%, P < .05), non-English speaking (67% vs 40%, P < .001), and racial and ethnic minorities (58% vs 34%, P < .001). CONCLUSIONS: Primary care is a leading provider of mental health services and has played a critical role during the pandemic. Primary care clinicians have strong relationships with their patients as well as outreach within communities that may otherwise struggle to access mental health services. The use of telemedicine in primary care, and specifically phone-based services, has been an essential tool to providing equitable access to mental health services.

Advocacy in Action: a Comprehensive Student-Led Proactive Outreach to Patients at Highest Risk.

INTRODUCTION: COVID-19 disrupted access to critical healthcare and resources for many, especially affecting patients at safety-net hospitals who rely on regular care for multiple complex conditions. Students realized they could support patients from the sidelines by helping navigate abrupt healthcare changes and proactively addressing needs at home. AIM: To comprehensively identify and meet the clinical and social needs of Atlanta, Georgia's patients at highest risk, left without their usual access to healthcare, through proactive telephonic outreach. SETTING AND PATIENTS: Medical and Physician's Assistant students from Emory and Morehouse Schools of Medicine partnered with Grady Health System, Atlanta's safety-net hospital. Artificial intelligence prioritized over 15,000 patients by risk of morbidity and mortality from COVID-19. PROGRAM DESCRIPTION: In this novel program, students performed telephonic outreach to thousands of patients at highest risk of poor outcomes from COVID-19. Students used a custom REDCap form that served as both a call script and data collection tool. It provided step-by-step guidance to (1) screen for COVID-19 and educate on prevention; (2) help patients navigate health system changes to fill gaps in care; and (3) identify and address social needs. Based on patients' responses, the form prompted tailored reminders for next steps and connections to medical and social resources. PROGRAM EVALUATION: In the program's first 16 months, students made 7,988 calls, of which 3,354 were answered. Over half (53%) of patients had at least one need requiring action: 48% health and 16% social. DISCUSSION: This proactive, novel initiative identified substantial clinical and social need among patients at highest risk for poor outcomes and filled a pressing health system gap exacerbated by COVID-19. Simultaneously, interprofessional students gained applied exposure to health systems sciences. This program can serve as a model for rapid, cost-effective, high-yield outreach to promote patient health at home both during and beyond the pandemic.

Clinical characteristics and social determinants of health associated with 30-day hospital readmissions of patients with COVID-19.

COVID-19 readmissions are associated with increased patient mortality and healthcare system strain. This retrospective cohort study of PCR-confirmed COVID-19 positive adults (>18 years) hospitalized and readmitted within 30 days of discharge from index admission was performed at eight Atlanta hospitals from March to December 2020. The objective was to describe COVID-19 patient-level demographics and clinical characteristics, and community-level social determinants of health (SDoH) that contribute to 30-day readmissions. Demographics, comorbidities, COVID-19 treatment, and discharge disposition data were extracted from the index admission. ZIP codes were linked to a demographic/lifestyle database interpolating to community-level SDoH. Of 7155 patients with COVID-19, 463 (6.5%) had 30-day, unplanned, all-cause hospital readmissions. Statistically significant differences were not found in readmissions stratified by age, sex, race, or ethnicity. Patients with a high-risk Charlson Comorbidity Index had higher odds of readmission (OR 4.8 (95% CI: 2.1 to 11.0)). Remdesivir treatment and intensive care unit (ICU) care were associated with lower odds of readmission (OR 0.5 (95% CI: 0.4 to 0.8) and OR 0.5 (95% CI: 0.4 to 0.7), respectively). Patients residing in communities with larger average household size were less likely to be readmitted (OR 0.7 (95% CI: 0.5 to 0.9). In this cohort, patients who received remdesivir, were cared for in an ICU, and resided in ZIP codes with higher proportions of residents with increased social support had lower odds of readmission. These patient-level factors and community-level SDoH may be used to identify patients with COVID-19 who are at increased risk of readmission.