Severity of illness and risk of mortality in Mayo Clinic's virtual hybrid advanced care at home program: a retrospective cohort study.

BACKGROUND: In July 2020, Mayo Clinic launched Advanced Care at Home (ACH), a high-acuity virtual hybrid hospital-at-home model (HaH) of care at Mayo Clinic Florida and Northwest Wisconsin, an urban destination medical center and a rural community practice respectively. This study aims to describe demographic characteristics of ACH patients as well as their acuity of illness using severity of illness (SOI) and risk of mortality (ROM), to illustrate the complexity of patients in the program, taking into account the different diagnostic related groups. METHODS: Mayo Clinic uses All Patient Refined-Diagnosis Related Groups (APR-DRG) to calculate SOI and ROM on hospitalized patients. APR-DRG data, including SOI and ROM, were gathered from individual chart reviews from July 6, 2020, to March 31, 2022. RESULTS:  Out of 923 patients discharged from ACH, the average APR-DRG SOI was 2.89 (SD 0.81) and ROM was 2.73. (SD 0.92). Mean age was 70.88 (SD 14.46) years, 54.6% were male patients and the average length of stay was 4.10 days. The most frequent diagnosis was COVID-19 infection with 162 patients (17.6%), followed by heart failure exacerbation (12.7%) and septicemia (10.9%). The 30-day readmission rate after discharge from ACH was 11.2% (n = 103) and the 30-day mortality rate was 1.8% (n = 17). There were no in-program patient deaths. CONCLUSIONS: SOI and ROM from patients at the ACH program have been shown to be in the range of "moderate/major" according to the APR-DRG classification. The ACH program is capable of accepting and managing highly complex patients that require advanced therapeutic means. Furthermore, the ACH program has an in-program mortality rate of 0 to date. Therefore, ACH is rising as a capable alternative to the brick-and-mortar hospital.

Implementation of a virtual and in-person hybrid hospital-at-home model in two geographically separate regions utilizing a single command center: a descriptive cohort study.

BACKGROUND: As providers look to scale high-acuity care in the patient home setting, hospital-at-home is becoming more prevalent. The traditional model of hospital-at-home usually relies on care delivery by in-home providers, caring for patients in urban communities through academic medical centers. Our objective is to describe the process and outcomes of Mayo Clinic's Advanced Care at Home (ACH) program, a hybrid virtual and in-person hospital-at-home model combining a single, virtual provider-staffed command center with a vendor-mediated in-person medical supply chain to simultaneously deliver care to patients living near an urban hospital-at-home command center and patients living in a rural region in a different US state and time zone. METHODS: A descriptive, retrospective medical records review of all patients admitted to ACH between July 6, 2020, and December 31, 2021. Patients were admitted to ACH from an urban academic medical center in Florida and a rural community hospital in Wisconsin. We collected patient volumes, age, sex, race, ethnicity, insurance type, primary hospital diagnosis, 30-day mortality rate, in-program mortality, 30-day readmission rate, rate of return to hospital during acute phase, All Patient Refined-Diagnosis Related Groups (APR-DRG) Severity of Illness (SOI), and length of stay (LOS) in both the inpatient-equivalent acute phase and post-acute equivalent restorative phase. RESULTS: Six hundred and eighty-six patients were admitted to the ACH program, 408 in Florida and 278 in Wisconsin. The most common diagnosis seen were infectious pneumonia (27.0%), septicemia / bacteremia (11.5%), congestive heart failure exacerbation (11.5%), and skin and soft tissue infections (6.3%). Median LOS in the acute phase was 3 days (IQR 2-5) and median stay in the restorative phase was 22 days (IQR 11-26). In-program mortality rate was 0% and 30-day mortality was 0.6%. The mean APR-DRG SOI was 2.9 (SD 0.79) and the 30-day readmission rate was 9.7%. CONCLUSIONS: The ACH hospital-at-home model was able to provide both high-acuity inpatient-level care and post-acute care to patients in their homes through a single command center to patients in urban and rural settings in two different geographical locations with favorable outcomes of low mortality and hospital readmissions.

Impact of an Acquisition Advanced Practice Provider on Home Hospital Patient Volumes and Length of Stay.

In July 2020, Mayo Clinic introduced a hospital-at-home program, known as Advanced Care at Home (ACH) as an alternate option for clinically stable medical patients requiring hospital-level care. This retrospective cohort study evaluates the impact of the addition of a dedicated ACH patient acquisition Advanced Practice Provider (APP) on average length of stay (ALOS) and the number of patients admitted into the program between in Florida and Wisconsin between 6 July 2020 and 31 January 2022. Patient volumes and ALOS of 755 patients were analyzed between the two sites both before and after a dedicated acquisition APP was added to the Florida site on 1 June 2021. The addition of a dedicated acquisition APP did not affect the length of time a patient was in the emergency department or hospital ward prior to ACH transition (2.91 days [Florida] vs. 2.59 days [Wisconsin], p = 0.22), the transition time between initiation of the ACH consult to patient transfer home (0.85 days [Florida] vs. 1.16 days [Wisconsin], p = 0.28), or the total ALOS (6.63 days [Florida] vs. 6.34 days [Wisconsin], p = 0.47). The average number of patients acquired monthly was significantly increased in Florida (38.3 patients per month) compared with Wisconsin (21.6 patients per month) (p < 0.01). The addition of a dedicated patient acquisition APP resulted in significantly higher patient volumes but did not affect transition time or ALOS. Other hospital-at-home programs may consider the addition of an acquisition APP to maximize patient volumes.

Treatment of a high healthcare utilizer with sepsis in a virtual hybrid hospital-at-home program.

High healthcare utilizers are often chronically ill patients who require aggressive hospital and outpatient care. We describe a patient with septic shock who was stabilized in the intensive care unit, then transitioned to a virtual hybrid hospital-at-home to complete both inpatient care as well as outpatient wound and rehabilitation therapy.

The ASA Classification System as a Predictive Factor to Stay at the Virtual Hybrid Care Hotel.

INTRODUCTION: The Care Hotel is a virtual hybrid care model for postoperative patients after low-risk procedures which allow recovery in an outpatient environment. This study aimed to analyze if the American Society of Anesthesiologists Physical Status (ASA PS) Classification System can be used as a predictive factor for staying at Mayo Clinic's Care Hotel. METHODS: This retrospective cohort study was conducted between July 23, 2020, and June 4, 2021, at Mayo Clinic in Florida, a 306-bed community academic hospital. ASA PS Class and post-procedure care setting (Care Hotel vs inpatient ward) were collected. Patients were classified into two ASA PS groups (ASA PS Classes 1-2 and 3-4). Pearson's Chi-square test was used to determine if the ASA PS Class and having stayed or not at the Care Hotel were independent and an Odds Ratio (OR) calculated. RESULTS: Out of 392 surgical and procedural patients, 272 (69.39%) chose the Care Hotel and 120 (30.61%) chose the inpatient ward. There was a statistically significant association between ASA PS Class and staying at the Care Hotel, P < .01. The OR of preferring to stay at the Care Hotel in patients with ASA PS Class 1-2 vs ASA PC Class 3-4 was 1.91 (P = .0041, 95% CI: 1.229-2.982). CONCLUSION: Patients with ASA PS Classes 1-2 are almost twice as likely to elect to stay at the Care Hotel compared to those with ASA PS Classes 3-4. This finding may help care teams focus their Care hotel recruitment efforts.

A Virtual Hybrid Care Hotel Model Supports the Recovery of Post-procedural Patients with Mild to Severe Systemic Diseases.

BACKGROUND: Patients with mild to severe chronic systemic disease undergoing low-risk procedures are often hospitalized for observation. The Care Hotel is a novel virtual medicine hybrid model of care that offers patients a comfortable, out of hospital environment where they can receive both in-person and virtual care after a surgery or procedure. This study aimed to analyze if virtual hybrid post-procedure care in a hotel could be both conducted on and accepted by patients, even those with moderate to severe chronic diseases. METHODS: This retrospective cohort study was conducted between July 23, 2020 and June 4, 2021 at Mayo Clinic in Florida, a 306-bed community academic hospital. We collected the sex, age, race, ethnicity, acceptance rate, ASA score, and primary procedure of patients using the Care Hotel. RESULTS: Out of 392 patients, 272 (69.4%) opted for care in the program. Median patient age was 61.5 years, 59.56% were males, and 86.40% were white. We found that 50.37% had an ASA score of 2 and 43.4% had an ASA score of 3. Ten different surgical specialties were able to utilize the Care Hotel for care in 47 different procedure types. Urology had the most patients (n=70, 25.7%). Post-electrophysiologic procedures were the most common procedures (n=39, 14.3%). CONCLUSION: Our virtual hybrid Care Hotel program was widely accepted by patients and could care for a multitude of post-operative procedures. Additionally, this novel program can care for patients with both mild and severe systemic diseases.

Provider Evaluation of a Novel Virtual Hybrid Hospital at Home Model.

BACKGROUND: Healthcare provider's experience with new models of care is crucial for long-term success. In July 2020, Mayo Clinic implemented a novel virtual hybrid hospital at home program called Advanced Care at Home (ACH). This model allows virtual providers in a command center to care for high-acuity patients in the home setting through collaboration with a vendor-mediated supply chain. This study aims to describe the outcomes obtained from a survey applied to the ACH providers to determine their acceptance of the quality and safety of the virtual hybrid care model, their perception towards the decision-making and teamwork between the command center and supplier network, and determine if the overall experience with ACH was rewarding. METHODS: A 15-question anonymous survey was distributed via email quarterly to all the physicians and nurse practitioners registered in ACH program at Mayo Clinic. The survey encompassed questions related to the overall experience in ACH concerning work environment, quality of care, service reliability, teamwork, decision-making, and satisfaction. All the questions were Likert-like scale choice, and a descriptive analysis using frequency distribution and percentages of the data was performed. RESULTS: Between September 1, 2020 and April 30, 2021, three quarterly surveys were sent to a total of 21 physicians and nurse practitioners caring for patients virtually in ACH. The response rate reported was 72%, 33%, and 66%, respectively, at the first, second, and third quarters. Eighty percent or more of providers consistently gave positive scores to all three areas analyzed throughout the 8-month study. CONCLUSION: Providers found the ACH virtual hybrid model of home hospital care very rewarding. They were able to deliver high-quality and safe care to their patients through positive teamwork with a vendor-mediated supply chain. This novel model of hospital at home has the potential to be a great provider satisfier moving forward.

Improving Patient Selection and Prioritization for Hospital at Home Through Predictive Modeling.

Hospital at home is designed to offer patients hospital level care in the comfort of their own home. The process by which clinicians select eligible patients that are clinically and socially appropriate for this model of care requires labor-intensive manual chart reviews. We addressed this problem by providing a predictive model, web application, and data pipeline that produces an eligibility score based on a set of clinical and social factors that influence patients' success in the program. Providers used this predictive model to prioritize the order in which they perform chart reviews and patient screenings. Training performance area under the curve (AUC) was 0.77. Testing 'in production' had an AUC of 0.75. Admission criteria in training rapidly changed over the course of the study due to the novelty of the clinical model. The current algorithm successfully identified many inconsistencies in enrollment and has streamlined the process of patient identification.

Three-tier stratification for CNS COVID-19 to help decide which patients should undergo lumbar puncture with CSF analysis: a case report and literature review.

The COVID-19 pandemic continues to overwhelm global healthcare systems. While the disease primarily causes pulmonary complications, reports of central nervous system (CNS) involvement have recently emerged ranging from encephalopathy to stroke. This raises a practical dilemma for clinicians as to when to pursue neuroimaging and lumbar tap with cerebrospinal fluid (CSF) analysis in COVID-19 patients with neurological symptoms. We present a case of an encephalopathic patient infected with SARS-CoV-2 with no pulmonary symptoms. We propose a three-tier risk stratification for CNS COVID-19 aiming to help clinicians to decide which patients should undergo CSF analysis. The neurological examination remains an integral component of screening and evaluating patients for COVID-19 considering the range of emerging CNS complications.

Delayed COVID respiratory failure: what every front line healthcare worker needs to know.

The pandemic of COVID-19 has presented several diagnostic challenges in both recognition of acute disease and also the temporal presentation of disease convalescence with return to normal activity. We present a case of delayed clinical progression of COVID-19 associated respiratory failure on day 25 after initial symptom onset and, notably, after initial full resolution of symptoms and negative RT-PCR nasopharyngeal testing. The patient's delayed presentation of exertional dyspnea and the utilization of specific characteristics of chest radiography in confirmation with laboratory cytokine measurement allowed for clinical re-categorization of the patient's status to active COVID-19 clinical disease and changed acute management. COVID-19 positive patients should be advised to continue to monitor for respiratory deterioration for a greatly extended period of time, even if RT-PCR testing is negative and initial clinical symptoms have resolved. Frontline healthcare workers, including first responders and primary care providers, also need to be aware to monitor for and recognize this delayed presentation.

Sleep quality correlates with the carotid intima-media thickness in stroke-free community-dwelling adults living in rural Ecuador. The Atahualpa Project.

BACKGROUND/OBJECTIVES: Evidence of an association between sleep disorders and extracranial atherosclerosis is limited and has not been studied in remote rural settings, where living conditions and cardiovascular risk factors are different than in urban centers. We assessed the relationship between the carotid intima-media thickness (cIMT) and sleep quality in stroke-free individuals aged ≥40 years living in rural Ecuador. METHODS: Applying a population-based study design, participants underwent face-to-face interviews using the Pittsburgh Sleep Quality Index (PSQI) to assess sleep quality, and sonographic examinations for measurement of the carotid intima-media thickness (cIMT). The association between the cIMT and sleep quality (as the dependent variable) was assessed by means of generalized linear models, adjusted for relevant confounders. RESULTS: The mean age of 561 participants was 60.4 ± 12.6 years (58% women). The mean PSQI was 4.6 ± 2.2 points. Of those, 79 (14%) individuals had an increased cIMT (>1 mm). A model adjusted for demographics showed a significant association between increased cIMT and the PSQI score (ß: 0.602; 95% C.I.: 0.027-1.177; p = 0.040). This relationship was reduced when cardiovascular risk factors were added to the model (ß: 0.514; 95% C.I.: -0.072 - 1.101; p = 0.086). When the model was adjusted for demographics and psychological distress, the association between increased cIMT and the PSQI score became significant (ß: 0.573; 95% C.I.: 0.013-1.133; p = 0.045). In addition, both symptoms of depression (p = 0.032) and anxiety (p < 0.001) remained independently significant. CONCLUSIONS: This study shows an association between increased cIMT and the PSQI score, which is, at least, partly mediated by manifestations of psychological distress.