Effect of hospital-at-home vs. traditional brick-and-mortar hospital care in acutely ill adults: study protocol for a pragmatic randomized controlled trial.

BACKGROUND: Delivering acute hospital care to patients at home might reduce costs and improve patient experience. Mayo Clinic's Advanced Care at Home (ACH) program is a novel virtual hybrid model of "Hospital at Home." This pragmatic randomized controlled non-inferiority trial aims to compare two acute care delivery models: ACH vs. traditional brick-and-mortar hospital care in acutely ill patients. METHODS: We aim to enroll 360 acutely ill adult patients (≥18 years) who are admitted to three hospitals in Arizona, Florida, and Wisconsin, two of which are academic medical centers and one is a community-based practice. The eligibility criteria will follow what is used in routine practice determined by local clinical teams, including clinical stability, social stability, health insurance plans, and zip codes. Patients will be randomized 1:1 to ACH or traditional inpatient care, stratified by site. The primary outcome is a composite outcome of all-cause mortality and 30-day readmission. Secondary outcomes include individual outcomes in the composite endpoint, fall with injury, medication errors, emergency room visit, transfer to intensive care unit (ICU), cost, the number of days alive out of hospital, and patient-reported quality of life. A mixed-methods study will be conducted with patients, clinicians, and other staff to investigate their experience. DISCUSSION: The pragmatic trial will examine a novel virtual hybrid model for delivering high-acuity medical care at home. The findings will inform patient selection and future large-scale implementation. TRIAL REGISTRATION: ClinicalTrials.gov NCT05212077. Registered on 27 January 2022.

Longitudinal factors associated with increased alcohol consumption in adults during the COVID-19 pandemic.

Background: Alcohol is the most abused substance among adults in the United States. The COVID-19 pandemic impacted patterns of alcohol use, but data are conflicting, and previous studies are largely limited to cross-sectional analyses.Objective: This study aimed to longitudinally assess sociodemographic and psychological correlates of changes in three patterns of alcohol use (number of alcoholic drinks, drinking regularity, and binge drinking) during COVID-19.Methods: We studied changes in self-reported drinking behaviors in 222,195 Mayo Clinic patients over 21 years of age (58.1% female and 41.9% male) between April 1, 2019, and March 30, 2021. Logistic regression models were used to estimate associations between patient characteristics and change in alcohol consumption.Results: Sociodemographically younger age, White race, having a college degree, and living in a rural area were associated with increased alcohol use regularity (all p < .05). Younger age, male, White, high-school education or less, living in a more deprived neighborhood, smoking, and living in a rural area were associated with increases in number of alcohol drinks (all p ≤ .04) and binge drinking (all p ≤ .01). Increased anxiety scores were associated with increased number of drinks, while depression severity was associated with both increased drinking regularity and increased number of drinks (all p ≤ .02) independent of sociodemographic characteristics.Conclusion: Our study showed that both sociodemographic and psychological characteristics were associated with increased alcohol consumption patterns during the COVID-19 pandemic. Our study highlights specific target groups previously not described in the literature for alcohol interventions based on sociodemographic and psychological characteristics.

Association of socio-demographic characteristics with alcohol use initiation among never users during the COVID-19 pandemic: a longitudinal study.

BACKGROUND: In this longitudinal cohort study, we examined the socio-demographic and psychological predictors of alcohol use initiation during the COVID-19 pandemic in a sample of never alcohol users aged ≥21 prior to COVID-19. METHODS: Our study population consisted of 56 930 patients aged ≥21, as of 30 March 2019 were collected from a pre-COVID period of 1 year before 31 March 2020, and during-COVID, a period between 1 April 2020 and 30 March 2021. Univariable and multivariable logistic regression models were utilized to examine the roles of socio-demographic variables (gender, age, education, Area Deprivation Index and rural residence) changes in anxiety and depression severity as predictors of alcohol use initiation. RESULTS: Age, gender, race, ethnicity, education and rural status were significant predictors in multivariable analysis. A subgroup analysis showed neither anxiety nor depression had a significant association with alcohol use initiation. CONCLUSION: Women, younger individuals, those living in a rural area and people who smoke cigarettes were more likely to initiate alcohol use during the pandemic. Our study has public health and clinical implications such as the need for targeted alcohol use screening and intervention for vulnerable individuals.

Trends in Telehealth Care for Diabetes During the COVID-19 Pandemic

Importance: This very large claims data analysis documents widespread adoption of telehealth use by patients with diabetes during the first year of the COVID-19 pandemic, giving us insight into the potential role of telehealth as we enter a stage of “new normal” of healthcare delivery in the U.S. Objective: The COVID-19 Telehealth Impact Study was designed to describe the natural experiment of telehealth adoption during the pandemic. This focused analysis can assist program development for care of large populations of patients with diabetes. Design, Setting, Participants: In March 2020, the MITRE Corporation and Mayo Clinic founded the COVID-19 Healthcare Coalition (C19HCC) and Telehealth Impact Study to respond to the pandemic. We report trends using a data set of over 2 billion healthcare claims covering over 50% of private insurance activity in the U.S. (January 2019-March 2021). Main Outcomes and Measures: We compared rates of telehealth use in the one-year pre and one-year post onset of the COVID-19 pandemic among a population of 8,339,633 patients with diabetes. Results: Compared to a baseline of very low telehealth use in 2019, there was rapid adoption of telehealth by patients with diabetes in Spring 2020. 27% of diabetics used telehealth in Q2 2020 and use rates declined in the ensuing months to approximately 13%. Diabetics and their providers used telehealth to address a wide variety of health problems. 77% of telehealth visits addressed diabetes, 53% hypertension and over 40% of visits addressed mental and behavioral health diagnoses. Audio-only (telephone visits) accounted for a substantial portion of telehealth encounters (10.0- 16.3%) and will be an important consideration for future telehealth planning. Over the course of the first 12 months of the pandemic, 98% diabetics who used telehealth used 4 or fewer telehealth visit. Conclusions and Relevance: We believe that telehealth will quickly become a best practice for routine care of patients with diabetes and other chronic conditions. Telehealth interactions 2-4 times per year supplemented with remote monitoring for glucose, blood pressure and weight have the potential to greatly enhance patient care. Further research will be needed to measure the telehealth impact on glycemic control, patient satisfaction and other outcomes. We encourage CMS and other payers to embrace and promote use of telehealth based on this real-world experience of patients and providers during the pandemic.

A COVID-19 Telehealth Impact Study—Exploring One Year of Telehealth Experimentation

Importance: This three-part study characterizes the widespread implementation of telehealth during the first year of the COVID-19 pandemic, giving us insight into the role of telehealth as we enter a stage of “new normal” healthcare delivery in the U.S. Objective: The COVID-19 Telehealth Impact Study was designed to describe the natural experiment of telehealth adoption during the pandemic. Using a large claims data stream and surveys of providers and patients, we studied telehealth in all 50 states to inform healthcare leaders. Design, Setting, Participants: In March 2020, the MITRE Corporation and Mayo Clinic founded the COVID-19 Healthcare Coalition (C19HCC), to respond to the pandemic. We report trends using a dataset of over 2 billion healthcare claims covering over 50% of private insurance activity in the U.S. (January 2019-December 2020), along with key elements from our provider survey (July-August 2020) and patient survey (November 2020 - February 2021). Main Outcomes and Measures: There was rapid and widespread adoption of telehealth in Spring 2020 with over 12 million telehealth claims in April 2020, accounting for 49.4% of total health care claims. Providers and patients expressed high levels of satisfaction with telehealth. 75% of providers indicated that telehealth enabled them to provide quality care. 84% of patients agreed that quality of their telehealth visit was good. Results: Peak levels of telehealth use varied widely among states ranging from 74.9% in Massachusetts to 25.4% in Mississippi. Every clinical discipline saw a steep rise with the largest claims volume in behavioral health. Provision of care by out-of-state provider was common at 6.5% (October-December 2020). Providers reported multiple modalities of telehealth care delivery. 74% of patients indicated they will use telehealth services in the future. Conclusions and Relevance: Innovation shown by providers and patients during this period of rapid telehealth expansion constitutes a great natural experiment in care delivery with evidence supporting widespread clinical adoption and satisfaction on the part of both patients and clinicians. The authors encourage continued broad access to telehealth over the next 12 months to allow telehealth best practices to emerge, creating a more effective and resilient system of care delivery.

Impact of a High-Risk, Ambulatory COVID-19 Remote Patient Monitoring Program on Utilization, Cost, and Mortality.

OBJECTIVE: To evaluate care utilization, cost, and mortality among high-risk patients enrolled in a coronavirus disease 2019 (COVID-19) remote patient monitoring (RPM) program. METHODS: This retrospective analysis included patients diagnosed with COVID-19 at risk for severe disease who enrolled in the RPM program between March 2020 and October 2021. The program included in-home technology for symptom and physiologic data monitoring with centralized care management. Propensity score matching established matched cohorts of RPM-engaged (defined as ≥1 RPM technology interactions) and non-engaged patients using a logistic regression model of 59 baseline characteristics. Billing codes and the electronic death certificate system were used for data abstraction from the electronic health record and reporting of care utilization and mortality endpoints. RESULTS: Among 5796 RPM-enrolled patients, 80.0% engaged with the technology. Following matching, 1128 pairs of RPM-engaged and non-engaged patients comprised the analysis cohorts. Mean patient age was 63.3 years, 50.9% of patients were female, and 81.9% were non-Hispanic White. Patients who were RPM-engaged experienced significantly lower rates of 30-day, all-cause hospitalization (13.7% vs 18.0%, P=.01), prolonged hospitalization (3.5% vs 6.7%, P=.001), intensive care unit admission (2.3% vs 4.2%, P=.01), and mortality (0.5% vs 1.7%; odds ratio, 0.31; 95% CI, 0.12 to 0.78; P=.01), as well as cost of care ($2306.33 USD vs $3565.97 USD, P=0.04), than those enrolled in RPM but non-engaged. CONCLUSION: High-risk COVID-19 patients enrolled and engaged in an RPM program experienced lower rates of hospitalization, intensive care unit admission, mortality, and cost than those enrolled and non-engaged. These findings translate to improved hospital bed access and patient outcomes.

Sleep Medicine Care Through the COVID-19 Pandemic

Introduction The COVID-19 pandemic accelerated use of telehealth, an expansion of services that required the appropriate technological infrastructure for health care facilities and in patient homes. Telehealth on the one hand has held promise for addressing health disparities perpetuated by inadequate rural access, but delivery requires extensive broadband and technologic access. That creates the possibility for new kinds of healthcare disparities. In addition, COVID-19 forced marked reduction in in-lab polysomnography (PSG), and concurrent expansion of home sleep apnea testing (HSAT). We hypothesized that the pandemic led to an increase in the overall frequency of telehealth and HSAT utilization, particularly in those who were younger, White, more educated, and from a non-local area. Methods We completed a retrospective chart review of all adult patients seen by all provider types across the Sleep Medicine practices in Mayo Clinic Rochester, Arizona, Florida, and the Mayo Clinic Health System between 1) 6/1/18—3/8/20 (Pre-COVID-19), 2) 3/9/20—4/19/20 (Early COVID-19), and 3) 4/20/20—present (Late COVID-19). We recorded the total number of PSGs and HSATs and total number of face-to-face and telehealth visits, along with the age, gender, race, educational level, and locality by zip code for patients served. These data were compared across the 3 timeframes. Results Average monthly visits changed from Pre-COVID-19, Early COVID-19, to Late COVID-19 [2194.7/m, 1416.5/m, 2690.6/m (P<0.001)]. Average monthly sleep test volumes also changed [1004.1/m, 530.5/m, 1123.4/m (P<0.001)], with a proportionate increase in HSATs across the 3 periods [34.71%, 65.37%, 53.59% (P<0.005)]. The increase in Late COVID-19 in telehealth visits occurred proportionately more in those who were younger, female, non-White, college and post-graduate educated, and from a non-local area. The increase in use of HSATs occurred proportionately more in patients who were younger, female, non-White, college and post-graduate educated, and from a local area. Conclusion The COVID-19 pandemic increased the use of telehealth visits and HSATs in Sleep Medicine practices across our enterprise, particularly in those who are younger and more educated, which may be due to ease of use with and access to technology. The reasons for the presence of additional disparities based upon gender, race, and locality needs further exploration. Support (If Any)  

Patient Telemedicine Perceptions During the COVID-19 Pandemic Within a Multi-State Medical Institution: Qualitative Study

Background: During the COVID-19 pandemic, to prevent the spread of the virus, federal regulatory barriers around telemedicine were lifted, and health care institutions encouraged patients to use telemedicine, including video appointments. Many patients, however, still chose face-2-face (f2f) appointments for nonemergent clinical care. Objective: We explored patients’ personal and environmental barriers to the use of video appointments from April 2020 to December 2020. Methods: We conducted qualitative telephone interviews of Mayo Clinic patients who attended f2f appointments at the Mayo Clinic from April 2020 to December 2020 but did not utilize Mayo Clinic video appointment services during that time frame. Results: We found that, although most patients were concerned about preventing COVID-19 transmission, they trusted Mayo Clinic to keep them safe when attending f2f appointments. Many expressed that a video appointment made it difficult to establish rapport with their providers. Other common barriers to video appointments were perceived therapeutic benefits of f2f appointments, low digital literacy, and concerns about privacy and security. Conclusions: Our study provides an in-depth investigation into barriers to engaging in video appointments for nonemergent clinical care in the context of the COVID-19 pandemic. Our findings corroborate many barriers prevalent in the prepandemic literature and suggest that rapport barriers need to be analyzed and problem-solved at a granular level.

Implementation of a multisite, interdisciplinary remote patient monitoring program for ambulatory management of patients with COVID-19.

Established technology, operational infrastructure, and nursing resources were leveraged to develop a remote patient monitoring (RPM) program for ambulatory management of patients with COVID-19. The program included two care-delivery models with different monitoring capabilities supporting variable levels of patient risk for severe illness. The primary objective of this study was to determine the feasibility and safety of a multisite RPM program for management of acute COVID-19 illness. We report an evaluation of 7074 patients served by the program across 41 US states. Among all patients, the RPM technology engagement rate was 78.9%. Rates of emergency department visit and hospitalization within 30 days of enrollment were 11.4% and 9.4%, respectively, and the 30-day mortality rate was 0.4%. A multisite RPM program for management of acute COVID-19 illness is feasible, safe, and associated with a low mortality rate. Further research and expansion of RPM programs for ambulatory management of other acute illnesses are warranted.